diff --git a/.dockerignore b/.dockerignore
index 0b78da1df1..291620cd4c 100644
--- a/.dockerignore
+++ b/.dockerignore
@@ -35,9 +35,12 @@
 !prompts/quality-criteria.md
 !prompts/workflow-prompts/impl-repair-claude.md
 !prompts/workflow-prompts/ai-quality-review.md
-# Promoted feedback cases hold users' data; they are synced here for eval runs
-# and are never committed, so they must never reach an image either.
-agents/evals/.cases
+# The eval harness (agents/evals/) is not service code: its fixture cases are
+# about 3 MB, its local reports hold renders and galleries, and its promoted
+# feedback cases (agents/evals/.cases) hold users' data, which must never reach
+# an image. The development-only fixture seed (AGENT_DEV_FIXTURE) reads the
+# cases from a checkout, never from an image.
+agents/evals
 
 # …and the noise that lives inside the trees above. `__pycache__` matters twice
 # over now that the image compiles its own bytecode: a stale host `.pyc` copied
diff --git a/.gitignore b/.gitignore
index fcb5ed0b23..4c59d71363 100644
--- a/.gitignore
+++ b/.gitignore
@@ -286,3 +286,9 @@ ds-bundle/
 app/.designsync-fonts/*.ttf
 app/.designsync-fonts/*.otf
 app/.designsync-fonts/*.woff2
+
+# Agent network regression harness (agents/evals/): run reports, renders and review
+# galleries are local; promoted feedback cases hold users' data and are synced from the
+# private bucket, never committed. Baselines in agents/evals/baselines/ ARE committed.
+agents/evals/reports/
+agents/evals/.cases/
diff --git a/agents/README.md b/agents/README.md
index 8965e4cb81..5efbb2a24a 100644
--- a/agents/README.md
+++ b/agents/README.md
@@ -4,7 +4,7 @@ This directory holds the anyplot agent network: the service that lets an admin p
 
 ## What is built
 
-The runtime core runs locally: the agents, the plot pipeline, the guardrail plugins, the render layer, the private `/v1` service with its run queue, and the theme toggle. The renderer service `anyplot-renderer` (`renderer/`), which runs the adapted code in Cloud Run sandboxes, and the `remote` backend that calls it are built, with the renderer's image and Cloud Build config, but not deployed yet (status of 2026-10-10). Not built yet: the agents image, the deploy of the agents service, the regression harness and the evals.
+The runtime core runs locally: the agents, the plot pipeline, the guardrail plugins, the render layer, the private `/v1` service with its run queue, and the theme toggle. The renderer service `anyplot-renderer` (`renderer/`), which runs the adapted code in Cloud Run sandboxes, and the `remote` backend that calls it are built, with the renderer's image and Cloud Build config, but not deployed yet (status of 2026-10-10). The model-regression harness, the 120 synthetic spike-X cases, the blind two-run review gallery and the catalogue eligibility sweep are built (see [Run the regression harness](#run-the-regression-harness)), and the Claude Haiku 5.5 baseline from the first spike-X run of 2026-10-10 is committed (`evals/baselines/claude-haiku-5-5.json`); the Gemini baseline is not. Not built yet: the agents image, the deploy of either service, the scope evalset, and the `agents-eval.yml` workflow.
 
 The model is **Claude Haiku 5.5 on Vertex AI** (`claude-haiku-5-5`) by default. **Gemini 3.8 Flash** is the second arm: set `AGENT_PROVIDER=gemini` together with Gemini model ids, so the two can be compared on price and quality later. Every agent and the scope judge run on the configured provider.
 
@@ -31,9 +31,16 @@ The model is **Claude Haiku 5.5 on Vertex AI** (`claude-haiku-5-5`) by default.
 | `anyplot/settings.py` | `AgentSettings`, read from `AGENT_*` environment variables |
 | `anyplot/schemas.py` | The pipeline contracts with their size limits |
 | `anyplot/data/`, `anyplot/code/` | The deterministic data and code layers, without ADK |
-| `evals/fixtures/cases/` | Fixture cases: `scatter-basic-matplotlib` and `bar-grouped-seaborn` |
+| `evals/matrix.py` | The regression harness: runs eval cases through `/v1` in process and writes the report, the Markdown summary, the diff against a baseline and the review galleries |
+| `evals/make_fixtures.py` | The seeded generator of the 120 synthetic spike-X cases |
+| `evals/cases.py`, `evals/pricing.py`, `evals/report.py` | Case loading and selection, list prices, and the summary, diff and gallery code; `report.py` also merges two runs into one blind gallery and scores its export |
+| `evals/eligibility.py` | The model-free sweep of the catalogue's matplotlib and seaborn files: eligible, coupled and blocked pairs, and why |
+| `evals/fixtures/cases/` | The eval cases: 120 generated (`<spec>-<library>-<perturbation>`) and the hand-written `scatter-basic-matplotlib` and `bar-grouped-seaborn` ([fixtures README](evals/fixtures/README.md)) |
+| `evals/baselines/` | Committed baseline reports, one per model ([baselines README](evals/baselines/README.md)) |
 
-The unit tests are in `tests/unit/agents/`; `tests/unit/agents/runtime/` drives a full "Create plot" through `/v1` with a fake renderer and scripted models for both providers.
+The unit tests are in `tests/unit/agents/`; `tests/unit/agents/runtime/` drives a full "Create plot" through `/v1` with a fake renderer and scripted models for both providers, and `tests/unit/agents/evals/` runs the harness the same way.
+
+`evals/` has no `__init__.py` on purpose: `adk web agents` lists every subdirectory of `agents/` that holds one as an agent, so `evals` stays an implicit namespace package, which `python -m agents.evals.matrix` imports all the same.
 
 Three rules hold for everything here:
 
@@ -194,3 +201,140 @@ uv run pytest tests/unit/agents -q
 ```
 
 `tests/unit/agents/renderer/` runs the executor against a fake `sandbox` launcher that runs the real harness with this interpreter, the service in process, and the `remote` backend against the service through httpx's ASGI transport.
+
+## Run the regression harness
+
+The harness (`evals/matrix.py`) runs eval cases through the real `/v1` flow in process: the same plugins, run queue, dataset judge, pipeline and gates as a user's request, with the models the settings name. Use it to compare a newer model version, the other provider's arm, or a prompt or validator change against the pinned baseline. Every run calls the configured models and spends tokens; the harness estimates the cost at list price as it goes.
+
+### Before you begin
+
+1. Complete steps 1 and 2 of [Before you begin](#before-you-begin): the dependencies and Application Default Credentials. The harness reads no `.env` file. With the `remote` or `local` renderer it runs as `ENVIRONMENT=development` whatever your shell exported (only development accepts your renderer token and the `local` backend); with `fake` it keeps your `ENVIRONMENT` and sets `development` when it is unset.
+2. Choose a renderer with `--renderer`:
+   - `remote` renders on the deployed `anyplot-renderer` service; pass its URL with `--render-url` (the harness sets `AGENT_RENDER_URL`). The `remote` backend comes with the renderer change (`agents/renderer/`); in a checkout without it, the harness stops with exit code 2.
+   - `local` renders in Docker with the image in `AGENT_RENDER_IMAGE`.
+   - `fake` returns fixture PNGs and runs no plot code. The models are still real, so a `fake` run costs as much as any other; use it to check everything except the render.
+3. For `remote`, give the harness a token the renderer accepts. Your account needs `roles/run.invoker` on `anyplot-renderer` and must be listed in its `RENDERER_ALLOWED_CALLERS`, and the gcloud CLI's client id `32555940559.apps.googleusercontent.com` must be in its `RENDERER_AUDIENCES` (see "Render through the deployed renderer" above). Then either:
+   - pass `--gcloud-token` (recommended): the harness runs `gcloud auth print-identity-token` before the first case and again whenever the token is within 10 minutes of expiry, so a full run outlasts the token's hour. The token stays in the harness's own environment and is never printed; or
+   - export `AGENT_RENDER_TOKEN=$(gcloud auth print-identity-token)` yourself. That token is valid for one hour; the harness prints how long it has left, and a run that outlasts it stops with exit code 4.
+
+Before the first case the harness renders the catalogue file of the first case of each library once (a preflight, no model call). A renderer that is unreachable, refuses your token or lacks a library ends the run with exit code 2 before any token is spent; `--no-preflight` skips the check.
+
+### Run the smoke set or the full matrix
+
+- The smoke set is 12 cases (tag `smoke`): one generated case per spec, cycling through the perturbations and both libraries, plus the two hand-written cases.
+
+  ```bash
+  uv run --extra agents python -m agents.evals.matrix --cases smoke \
+    --renderer remote --render-url https://RENDERER_URL --gcloud-token
+  ```
+
+- The full matrix is all 122 cases. Cap the spend with `--budget-usd`:
+
+  ```bash
+  uv run --extra agents python -m agents.evals.matrix --cases full --budget-usd 4 \
+    --renderer remote --render-url https://RENDERER_URL --gcloud-token
+  ```
+
+- To run the Gemini arm, add `--provider gemini`; it selects `gemini-3.8-flash` with the judge on `gemini-3.5-flash-lite`. `--model` alone implies its provider, and `--judge-model` and `--location` override the rest.
+- To run a subset, pass comma-separated globs over case ids, for example `--cases "*-seaborn-*"` or `--cases "pie-basic-*,box-basic-*"`.
+
+| Flag | Meaning |
+|---|---|
+| `--provider`, `--model`, `--judge-model`, `--location` | The candidate settings, passed only to this process as `AGENT_*` variables |
+| `--renderer`, `--render-url` | The render backend (`remote`, `local` or `fake`) and the remote renderer's URL |
+| `--gcloud-token` | Mint the renderer token with `gcloud auth print-identity-token` and renew it before it expires (`remote` only) |
+| `--no-preflight` | Skip the preflight render before the first case |
+| `--cases` | `smoke` (default), `full`, or comma-separated globs over case ids |
+| `--repeats N` | Runs per case, to see how stable a result is |
+| `--budget-usd X` | Stop before a case that could take the estimated list-price cost past X (the spend so far plus the costliest case so far), or once the cost has passed X (exit code 3) |
+| `--out DIR` | Output directory, `agents/evals/reports/` by default (git-ignored) |
+| `--baseline FILE`, `--no-baseline` | The report to compare with; by default `evals/baselines/claude-haiku-5-5.json` when it exists |
+| `--tolerance F` | The pass-rate drop that counts as a regression, 0.05 (5 percentage points) by default |
+| `--save-baseline` | Also write the report as `evals/baselines/<model>.json`; refused for a run that stopped early, holds promoted cases, or has a run that ended in an error |
+| `--seed N`, `--gallery-size N` | The gallery's random sample: its seed (0) and size (30) |
+| `--runs-per-minute N` | The run queue's start rate for this process, 60 by default |
+
+For its own process the harness lifts the run queue's start rate and the service-wide daily token budget, and gives every case its own user id, so the per-user daily budgets never trip. The per-request limits (12 LLM calls, 80,000 tokens, the deadlines) stay at their production values.
+
+### Read the results
+
+A run writes to `--out`:
+
+- `<date>-<model>.json`: the report. It holds the stamp (provider, models, location, renderer, ADK version, commit, prompt hashes, prices), the summary, and one record per case and repeat: status and reason, the exception class when the pipeline ended in an error, attempts, gate failures by gate, validator rejections, edit-apply failures, the reviewer's verdict, LLM calls by agent, tokens by kind, `model_version`, the cost at list price, time to the first event, end-to-end time and render times. The date is the UTC date.
+- `<date>-<model>.md`: the Markdown summary, with pass rates by perturbation, library and spec, and the diff against the baseline.
+- `renders/`, `gallery.html` and `gallery-all.html`: the shipped PNG of every run, a review page with 30 renders sampled at random from the runs that passed, and a list of every run. On the review page, tick **Accept** or **Reject** for each plot and select **Export judgements as JSON**; the export counts your accepts and rejects. The page never names the model, but its folder may, so compare two arms with the blind gallery instead (see [Run spike X](#run-spike-x)). The next run in the same directory rewrites both pages, so give each run its own `--out` when you want to keep its gallery.
+
+The rates mean the following:
+
+- **Pass rate**: runs that shipped a render (`ok` or `needs_attention`) that passed every deterministic gate: the host gates without a padded canvas, and no ADAPTATION validator finding. Every run counts, so a run that crashed in the harness is a run that did not pass. The reviewer and the advisory probe gates do not decide a pass; your gallery judgement does.
+- **Accept-match rate**: runs whose outcome (`ok` counts as accepted) matches the case's `expected` value; cases that expect `unknown` are left out.
+- **Cost per successful plot**: the whole run's list-price cost divided by the passed runs; the summary also gives the median cost of a passed run.
+
+The diff against a baseline compares the cases both reports hold, with every repeat of each, so a smoke run is measured against the same 12 cases of a full baseline. Each report's pass rate over all of its own runs is an extra row. With 12 cases one run is 8.3 percentage points, more than the 5-point tolerance, so a single case that flips from pass to fail is a regression on the smoke set.
+
+The exit code is one of the following:
+
+| Code | Meaning |
+|---|---|
+| 0 | The run finished |
+| 1 | The run did not hold: its pass rate on the shared cases fell more than the tolerance below the baseline's, or a run crashed in the harness |
+| 2 | A setup error: settings, the renderer or its token, the preflight render, an unpriced model, or no matching case |
+| 3 | `--budget-usd` stopped the run |
+| 4 | An outage stopped the run: the renderer became unavailable (the pipeline's `RendererUnavailable`), or 3 runs in a row ended in an error |
+
+Ctrl-C, exit codes 3 and 4 all write the partial report before the harness stops.
+
+### Run spike X
+
+Spike X is the go or no-go for phase 1: 10 specs times matplotlib and seaborn times 6 datasets (renamed, x10, n=12, n=5000, date, decimal comma) on both arms, under $25 in total. The full matrix is those 120 generated cases plus the two hand-written ones. At list price a full run is estimated at about $1 on the Claude arm and $10 to $15 on the Gemini arm. The budgets below leave $3 of the $25 for headroom, because a budget is checked between cases.
+
+1. Count the catalogue files the network can adapt at all (no model call, about 10 seconds). The report lists the eligible, coupled and blocked pairs per library, the blocked ones by reason (SECURITY findings by rule id, a missing `THEME` block, a savefig target other than `f"plot-{THEME}.png"`, the map specs):
+
+   ```bash
+   uv run --extra agents python -m agents.evals.eligibility --out agents/evals/reports/spike-x
+   ```
+
+2. Run the Claude arm in its own directory and write the first baseline:
+
+   ```bash
+   uv run --extra agents python -m agents.evals.matrix --provider anthropic-vertex --location eu \
+     --cases full --renderer remote --render-url https://RENDERER_URL --gcloud-token --budget-usd 4 \
+     --out agents/evals/reports/spike-x-claude --no-baseline --save-baseline
+   ```
+
+3. Run the Gemini arm and write its baseline. It compares itself with the Claude baseline from step 2, so exit code 1 here means "Gemini passed more than 5 points less often than Claude", which is a result, not a failed run:
+
+   ```bash
+   uv run --extra agents python -m agents.evals.matrix --provider gemini --location eu \
+     --cases full --renderer remote --render-url https://RENDERER_URL --gcloud-token --budget-usd 18 \
+     --out agents/evals/reports/spike-x-gemini --save-baseline
+   ```
+
+4. Merge both runs into one blind gallery. It samples 30 case runs that passed in both arms and shows both renders of each, shuffled, without saying which arm made which; the key goes into a separate file:
+
+   ```bash
+   uv run --extra agents python -m agents.evals.report blind \
+     --report agents/evals/reports/spike-x-claude/<date>-claude-haiku-5-5.json \
+     --report agents/evals/reports/spike-x-gemini/<date>-gemini-3.8-flash.json \
+     --out agents/evals/reports/spike-x-blind
+   ```
+
+5. Open `agents/evals/reports/spike-x-blind/blind.html`, judge every render, and export the judgements. Do not open the two arms' own galleries or `blind-key.json` before you have judged.
+6. Score the export per arm:
+
+   ```bash
+   uv run --extra agents python -m agents.evals.report score \
+     --key agents/evals/reports/spike-x-blind/blind-key.json ~/Downloads/judgements-<id>.json
+   ```
+
+7. Check the exit criteria in the design: at least 80 % pass after at most one repair, an owner acceptance of at least 75 % on the sample, and a median cost of at most $0.05 per successful plot.
+8. Commit `agents/evals/baselines/claude-haiku-5-5.json` and `gemini-3.8-flash.json` once you accept the runs. From then on, `tests/unit/agents/evals/test_baselines.py` requires a baseline for the pinned model. If `--save-baseline` refused a run because a case ended in an error, fix the cause and rerun that arm.
+
+### Regenerate the fixtures
+
+The 120 generated cases come from `evals/make_fixtures.py`. After you change it, or when a NumPy upgrade changes a random stream, rerun it and commit the result:
+
+```bash
+uv run --extra agents python -m agents.evals.make_fixtures
+uv run --extra agents python -m agents.evals.make_fixtures --check   # exit 1 when a committed file is stale
+```
diff --git a/agents/anyplot/models.py b/agents/anyplot/models.py
index 042f95e338..97f21f5911 100644
--- a/agents/anyplot/models.py
+++ b/agents/anyplot/models.py
@@ -266,13 +266,20 @@ def make_content_config(kind: ModelKind, settings: AgentSettings | None = None)
 
 
 class JudgeVerdict(BaseModel):
-    """What the judge decided, the reply language it saw, and the tokens it cost."""
+    """What the judge decided, the reply language it saw, and the tokens it cost.
+
+    `tokens` is the total the budgets count; `input_tokens` and `output_tokens` split
+    it for the attribution log, so the eval harness can price the judge at the input
+    and output rates (output includes thinking tokens on Gemini).
+    """
 
     model_config = ConfigDict(extra="ignore")
 
     verdict: Verdict
     lang: str = "en"
     tokens: int = Field(default=0, ge=0)
+    input_tokens: int = Field(default=0, ge=0)
+    output_tokens: int = Field(default=0, ge=0)
 
     @field_validator("lang", mode="before")
     @classmethod
@@ -353,8 +360,17 @@ async def _attempt(self, text: str, rubric: str) -> JudgeVerdict:
         if not isinstance(answer, dict):
             raise ValueError("the judge answered without a verdict")
         usage = message.usage
-        tokens = int(getattr(usage, "input_tokens", 0) or 0) + int(getattr(usage, "output_tokens", 0) or 0)
-        return JudgeVerdict(**_JudgeAnswer.model_validate(answer).model_dump(), tokens=tokens)
+        input_tokens = sum(
+            int(getattr(usage, name, 0) or 0)
+            for name in ("input_tokens", "cache_read_input_tokens", "cache_creation_input_tokens")
+        )
+        output_tokens = int(getattr(usage, "output_tokens", 0) or 0)
+        return JudgeVerdict(
+            **_JudgeAnswer.model_validate(answer).model_dump(),
+            tokens=input_tokens + output_tokens,
+            input_tokens=input_tokens,
+            output_tokens=output_tokens,
+        )
 
     async def judge(self, text: str, rubric: str) -> JudgeVerdict:
         return await _within_budget(self._attempt, text, rubric, self.timeout_s)
@@ -395,8 +411,18 @@ async def _attempt(self, text: str, rubric: str) -> JudgeVerdict:
         )
         answer = _JudgeAnswer.model_validate_json(response.text or "")
         usage = response.usage_metadata
-        tokens = int(getattr(usage, "total_token_count", 0) or 0) if usage else 0
-        return JudgeVerdict(**answer.model_dump(), tokens=tokens)
+
+        def count(name: str) -> int:
+            return int(getattr(usage, name, 0) or 0) if usage else 0
+
+        input_tokens = count("prompt_token_count") + count("tool_use_prompt_token_count")
+        output_tokens = count("candidates_token_count") + count("thoughts_token_count")
+        return JudgeVerdict(
+            **answer.model_dump(),
+            tokens=count("total_token_count"),
+            input_tokens=input_tokens,
+            output_tokens=output_tokens,
+        )
 
     async def judge(self, text: str, rubric: str) -> JudgeVerdict:
         return await _within_budget(self._attempt, text, rubric, self.timeout_s)
diff --git a/agents/anyplot/pipeline.py b/agents/anyplot/pipeline.py
index f55218d930..34c51d686f 100644
--- a/agents/anyplot/pipeline.py
+++ b/agents/anyplot/pipeline.py
@@ -42,6 +42,16 @@
 `failed` names its reason; `not_ready` comes before any model call. Progress goes out
 as content-free events with `custom_metadata={"anyplot_status": {"step", "attempt"}}`,
 which the stream translator turns into `status` events and no model ever reads.
+
+Every step also writes one content-free attribution line (`plugins/ledger.attribution`):
+`pipeline_adapt` (the answer's outcome and edit count), `pipeline_check` (edit-apply
+failure count, blocking validator rule ids, ADAPTATION rule ids), `pipeline_render`
+(render and wall time, the gate ids that failed or reported), `pipeline_review` (the
+verdict and its defect ids) and `pipeline_result` (status, reason, attempts, whether
+the shipped render was padded or carries ADAPTATION or probe findings, and the
+exception class behind reason `error`). The
+eval harness (`agents/evals/matrix.py`) reads them per case; they never carry code,
+data, column names or model text.
 """
 
 import json
@@ -66,7 +76,7 @@
 from .code.validate import validate_adaptation, validate_security
 from .data.bindings import check_bindings
 from .data.store import StoredDataset
-from .plugins.ledger import budget_allows, ledger_for
+from .plugins.ledger import RequestLedger, attribution, budget_allows, ledger_for
 from .policy import DATA_PREAMBLE, fence
 from .render.contract import RendererUnavailable, RenderJob, Theme
 from .render.gates import data_rows, evaluate
@@ -145,6 +155,10 @@ class Candidate:
     advisory_lines: list[str] = field(default_factory=list)
     reviewed_ok: bool | None = None
     render_id: str | None = None
+    adaptation_rules: list[str] = field(default_factory=list)
+    """The ADAPTATION validator rule ids behind `adaptation_lines`, for the attribution log."""
+    advisory_gates: list[str] = field(default_factory=list)
+    """The advisory probe gate ids (`G3`, `G5`, `G7`, `G8`) behind `advisory_lines`, for the attribution log."""
 
 
 @dataclass
@@ -162,6 +176,8 @@ class Run:
     reason: FailureReason | None = None
     rendered: bool = False
     unreviewed_why: str | None = None
+    error_type: str | None = None
+    """The exception class that ended the run with reason `error` (content-free, for the attribution log)."""
 
 
 def _line(text: str) -> str:
@@ -264,31 +280,42 @@ def _clip_feedback(lines: list[str]) -> list[str]:
     return unique[:MAX_FEEDBACK]
 
 
-def _check(working: str, *, library: str, palette: list[str], base: str) -> tuple[bool, list[str], list[str]]:
-    """Validate a working form against its base: (may render, blocking lines, adaptation defect lines)."""
+@dataclass(frozen=True)
+class CheckResult:
+    """The validator verdict on a working form: its lines for the repair, and its rule ids for the attribution log."""
+
+    may_render: bool
+    blocking: list[str]
+    defects: list[str]
+    blocking_rules: list[str]
+    adaptation_rules: list[str]
+
+
+def _check(working: str, *, library: str, palette: list[str], base: str) -> CheckResult:
+    """Validate a working form against its base: may it render, the blocking lines, the adaptation defect lines."""
     security = validate_security(working, library=library)
     adaptation = validate_adaptation(working, original_palette=palette)
-    blocking = [f"validator {f.rule}" + (f" (line {f.line})" if f.line else "") + f": {f.message}" for f in security]
-    blocking += [
-        f"validator {f.rule}" + (f" (line {f.line})" if f.line else "") + f": {f.message}"
-        for f in adaptation
-        if f.rule in BLOCKING_RULES
+    blocking_findings = [*security, *(f for f in adaptation if f.rule in BLOCKING_RULES)]
+    blocking = [
+        f"validator {f.rule}" + (f" (line {f.line})" if f.line else "") + f": {f.message}" for f in blocking_findings
     ]
+    blocking_rules = [f.rule for f in blocking_findings]
     added = new_literal_chars(base, working)
     if added > MAX_NEW_LITERAL_CHARS:
+        blocking_rules.append("literal-budget")
         blocking.append(
             f"validator literal-budget: the plan adds {added} characters of new string literals, "
             f"{added - MAX_NEW_LITERAL_CHARS} over the limit of {MAX_NEW_LITERAL_CHARS} → derive text and values "
             "from df instead of writing them out. Likely cause: data or long text written into the code."
         )
+    soft = [f for f in adaptation if f.rule not in BLOCKING_RULES]
     defects = [
         f"{ADAPTATION_IDS.get(f.rule, 'SC-03')} (code): {f.message}"
         + (f" at line {f.line}" if f.line else "")
         + f" → derive it from df and the Imprint palette. Likely cause: the adaptation ({f.rule})."
-        for f in adaptation
-        if f.rule not in BLOCKING_RULES
+        for f in soft
     ]
-    return not blocking, blocking, defects
+    return CheckResult(not blocking, blocking, defects, blocking_rules, [f.rule for f in soft])
 
 
 def finish(run: Run) -> PlotResult:
@@ -420,6 +447,7 @@ async def run_pipeline(ctx: Context, node_input: PipelineArgs) -> AsyncGenerator
     except Exception as exc:  # every failure ends in a PlotResult; the type is logged, never the message
         logger.warning("pipeline failed: %s", type(exc).__name__)
         run.reason = "error"
+        run.error_type = type(exc).__name__
         run.unreviewed_why = run.unreviewed_why or "an internal error stopped the run"
     finally:
         ledger.pipeline_active = False
@@ -431,10 +459,37 @@ async def run_pipeline(ctx: Context, node_input: PipelineArgs) -> AsyncGenerator
     except Exception as exc:  # a result whose artifacts cannot be stored is not shippable
         logger.warning("storing the version failed: %s", type(exc).__name__)
         result = PlotResult(status="failed", reason="error", attempts=run.attempts)
+        run.error_type = run.error_type or type(exc).__name__
+    _attribute_result(ledger, run, result)
     yield close_scope(scope)
     yield _result_event(result)
 
 
+def _attribute_result(ledger: RequestLedger, run: Run, result: PlotResult) -> None:
+    """The content-free outcome line of one pipeline run: what the eval harness's pass and gate counts read.
+
+    `padded`, `adaptation` (ADAPTATION rule ids) and `advisory` (probe gate ids) describe
+    the shipped render; a failed run has none. `error` is the exception class behind
+    reason `error` (for example `RendererUnavailable`, which the harness treats as an
+    outage rather than a model failure), never its message.
+    """
+    shipped = (run.best or run.padded) if result.status in ("ok", "needs_attention") else None
+    attribution(
+        "pipeline_result",
+        ledger,
+        status=result.status,
+        reason=result.reason,
+        attempts=result.attempts,
+        theme=run.theme,
+        reviewed=run.reviewed,
+        padded=bool(shipped and shipped.padded),
+        adaptation=list(shipped.adaptation_rules) if shipped else [],
+        advisory=list(shipped.advisory_gates) if shipped else [],
+        residual=len(result.residual_defects),
+        error=run.error_type if result.reason == "error" else None,
+    )
+
+
 def close_scope(scope: str) -> Event:
     """The event that ends the sub-agents' isolation scope.
 
@@ -494,23 +549,44 @@ async def _attempts(
         ledger.adapter_allow_full = request.allow_full
         answer = await _adapt(ctx, scope, render_adapt_request(request, view), view.library)
         if isinstance(answer, str):
+            attribution("pipeline_adapt", ledger, attempt=attempt, outcome="schema")
             feedback, previous_plan = [answer], None
             continue
         plan = answer
         if plan.full_code is not None and not request.allow_full:
+            attribution("pipeline_adapt", ledger, attempt=attempt, outcome="full_code_refused")
             feedback, previous_plan = ["full_code is allowed only on the second attempt; send edits instead"], None
             continue
+        attribution(
+            "pipeline_adapt",
+            ledger,
+            attempt=attempt,
+            outcome="plan",
+            edits=len(plan.edits),
+            full_code=plan.full_code is not None,
+        )
 
         yield _status("checking", attempt)
         applied = apply_plan(working, plan)
         if applied.code is None:
+            attribution(
+                "pipeline_check", ledger, attempt=attempt, outcome="edits_failed", edit_failures=len(applied.failures)
+            )
             feedback, previous_plan = applied.failures, plan
             continue
-        may_render, blocking, adaptation_lines = _check(
-            applied.code, library=view.library, palette=palette, base=working
+        check = _check(applied.code, library=view.library, palette=palette, base=working)
+        adaptation_lines = check.defects
+        attribution(
+            "pipeline_check",
+            ledger,
+            attempt=attempt,
+            outcome="ok" if check.may_render else "rejected",
+            edit_failures=0,
+            validator=check.blocking_rules,
+            adaptation=check.adaptation_rules,
         )
-        if not may_render:
-            feedback, previous_plan = blocking, plan
+        if not check.may_render:
+            feedback, previous_plan = check.blocking, plan
             continue
         working, previous_plan = applied.code, None
         try:
@@ -521,6 +597,7 @@ async def _attempts(
                 parse_dates=list(dataset.parse_dates),
             )
         except ValueError as exc:
+            attribution("pipeline_check", ledger, attempt=attempt, outcome="loader_failed", edit_failures=0)
             feedback = [_line(f"the code could not take the data loader: {exc}")]
             continue
 
@@ -534,7 +611,21 @@ async def _attempts(
             themes=(run.theme,),
             timeout_s=deadline.clamp(settings.render_timeout_s),
         )
-        report = evaluate(await services.backend.render(job), themes=job.themes, library=view.library, rows=rows)
+        started = time.monotonic()
+        rendered = await services.backend.render(job)
+        render_s = time.monotonic() - started
+        report = evaluate(rendered, themes=job.themes, library=view.library, rows=rows)
+        attribution(
+            "pipeline_render",
+            ledger,
+            attempt=attempt,
+            theme=run.theme,
+            render_s=round(render_s, 3),
+            wall_s={theme: round(output.wall_s, 3) for theme, output in rendered.outputs.items()},
+            passed=report.passed_host_gates,
+            canvas_ok=report.canvas_ok,
+            gates=report.failed_gates,
+        )
         run.rendered = True
         if not report.passed_host_gates:
             feedback = [*report.blocking, *adaptation_lines]
@@ -549,6 +640,8 @@ async def _attempts(
             canvas_line=report.canvas_defects[0] if report.canvas_defects else None,
             adaptation_lines=adaptation_lines,
             advisory_lines=list(report.advisory),
+            adaptation_rules=check.adaptation_rules,
+            advisory_gates=[gate for gate in report.failed_gates if gate.startswith("G")],
         )
         if report.canvas_ok:
             run.best = candidate
@@ -583,8 +676,16 @@ async def _attempts(
             ),
         )
         if verdict is None:
+            attribution("pipeline_review", ledger, attempt=attempt, verdict="unreadable")
             run.unreviewed_why = "the review answer could not be read"
             return
+        attribution(
+            "pipeline_review",
+            ledger,
+            attempt=attempt,
+            verdict="ok" if verdict.ok else "defects",
+            defects=[defect.id for defect in verdict.defects],
+        )
         run.reviewed = True
         candidate.reviewed_ok = verdict.ok
         if verdict.ok:
diff --git a/agents/anyplot/plugins/budget.py b/agents/anyplot/plugins/budget.py
index 62ae1a52bc..2e4dbe4d94 100644
--- a/agents/anyplot/plugins/budget.py
+++ b/agents/anyplot/plugins/budget.py
@@ -8,7 +8,9 @@
   `PlotResult(failed, reason=budget)` instead.
 * `after_model_callback` books every response's tokens (prompt + candidates +
   thoughts + tool-use prompt; cached tokens are counted separately and never twice),
-  the call and the `model_version`, and writes one content-free attribution line.
+  the call and the `model_version`, and writes one content-free attribution line
+  with the token counts by kind (`ledger.usage_breakdown`), which the eval harness
+  prices (`agents/evals/pricing.py`).
 * `before_tool_callback` on `plot_pipeline` counts the user's daily pipeline runs
   and refuses the call with `{"status": "error", "code": "budget"}` past
   `AGENT_DAILY_PIPELINE_RUNS`. A second call in the same invocation, and a call
@@ -32,7 +34,7 @@
 from ..policy import refusal
 from ..services import get_services
 from ..settings import get_settings
-from .ledger import attribution, budget_allows, ledger_for, usage_tokens
+from .ledger import attribution, budget_allows, ledger_for, usage_breakdown, usage_tokens
 from .tool_safety import ToolSafetyPlugin
 
 
@@ -92,6 +94,7 @@ async def after_model_callback(
                 agent=callback_context.agent_name,
                 billable=billable,
                 cached=cached,
+                **usage_breakdown(llm_response.usage_metadata),
                 model_version=llm_response.model_version,
                 finish_reason=str(llm_response.finish_reason) if llm_response.finish_reason else None,
             )
diff --git a/agents/anyplot/plugins/ledger.py b/agents/anyplot/plugins/ledger.py
index 9c4cce9d6f..6d80872c15 100644
--- a/agents/anyplot/plugins/ledger.py
+++ b/agents/anyplot/plugins/ledger.py
@@ -176,6 +176,29 @@ def count(name: str) -> int:
     return billable, count("cached_content_token_count")
 
 
+USAGE_FIELDS: dict[str, str] = {
+    "prompt": "prompt_token_count",
+    "candidates": "candidates_token_count",
+    "thoughts": "thoughts_token_count",
+    "tool_use_prompt": "tool_use_prompt_token_count",
+    "cache_write": "cache_creation_input_tokens",
+}
+"""The `usage_metadata` counts the attribution line carries by kind (`cached` is logged on its own).
+
+`prompt` includes the cached and cache-write tokens (ADK folds Anthropic's disjoint counts
+into one prompt count); `cache_write` is the Anthropic cache-creation count ADK attaches to
+the usage object. The eval harness prices each kind at its own rate."""
+
+
+def usage_breakdown(usage: Any) -> dict[str, int]:
+    """The token counts of `usage_metadata` by kind (`USAGE_FIELDS`); a missing count is 0."""
+    counts: dict[str, int] = {}
+    for key, name in USAGE_FIELDS.items():
+        value = getattr(usage, name, None) if usage is not None else None
+        counts[key] = int(value) if isinstance(value, int) else 0
+    return counts
+
+
 def argument_hash(arguments: Any) -> str:
     """A short, stable hash of tool arguments, so logs can correlate calls without their content."""
     try:
diff --git a/agents/anyplot/plugins/scope_guard.py b/agents/anyplot/plugins/scope_guard.py
index e8dd6468b1..057fd3970f 100644
--- a/agents/anyplot/plugins/scope_guard.py
+++ b/agents/anyplot/plugins/scope_guard.py
@@ -111,7 +111,15 @@ async def _judge(
         ledger.judge_tokens += verdict.tokens
         services.usage.add_tokens(user, verdict.tokens)
         ledger.lang = verdict.lang
-        attribution("scope_guard", ledger, verdict=verdict.verdict, lang=verdict.lang, judge_tokens=verdict.tokens)
+        attribution(
+            "scope_guard",
+            ledger,
+            verdict=verdict.verdict,
+            lang=verdict.lang,
+            judge_tokens=verdict.tokens,
+            judge_input=verdict.input_tokens,
+            judge_output=verdict.output_tokens,
+        )
         if verdict.verdict != "in_scope":
             ledger.refuse("out_of_scope", refusal("out_of_scope", verdict.lang))
             return _withheld()
diff --git a/agents/anyplot/render/gates.py b/agents/anyplot/render/gates.py
index 64ef642e5f..508753f306 100644
--- a/agents/anyplot/render/gates.py
+++ b/agents/anyplot/render/gates.py
@@ -99,6 +99,10 @@ class GateReport:
     blocking: list[str] = field(default_factory=list)
     canvas_defects: list[str] = field(default_factory=list)
     advisory: list[str] = field(default_factory=list)
+    failed_gates: list[str] = field(default_factory=list)
+    """The ids of the gates that failed or reported, one entry per theme and finding: `R1`,
+    `R1-timeout`, `R2`, `R3`, then the probe gates `G3`, `G5`, `G7`, `G8` in the order the
+    probe checks run (not sorted). Content-free, for the attribution log."""
 
     @property
     def defects(self) -> list[str]:
@@ -214,10 +218,12 @@ def evaluate(result: RenderResult, *, themes: Sequence[Theme], library: str, row
         output = result.outputs.get(theme)
         if output is None:
             report.blocking.append(_line(f"render ({theme}): the renderer returned no output for this theme"))
+            report.failed_gates.append("R1")
             report.passed_host_gates = False
             continue
         if output.timed_out:
             report.blocking.append(_line(f"render ({theme}): the code did not finish within the time limit"))
+            report.failed_gates.append("R1-timeout")
             report.passed_host_gates = False
             continue
         stopped = limit_line(theme, output.reason, output.measured, output.limit)
@@ -231,12 +237,14 @@ def evaluate(result: RenderResult, *, themes: Sequence[Theme], library: str, row
             else:
                 reason = f"the code failed with {error_summary(output.stderr_tail)}"
             report.blocking.append(_line(f"render ({theme}): {reason}; fix the code so it runs on the user's data"))
+            report.failed_gates.append("R1")
             report.passed_host_gates = False
             continue
         try:
             hardened = harden(output.png)
         except PngRejected as exc:
             report.blocking.append(_line(f"render ({theme}): {exc}"))
+            report.failed_gates.append("R2")
             report.passed_host_gates = False
             continue
         report.pngs[theme] = hardened.data
@@ -244,10 +252,12 @@ def evaluate(result: RenderResult, *, themes: Sequence[Theme], library: str, row
         if not verdict.ok:
             report.canvas_ok = False
             missed.append(theme)
+            report.failed_gates.append("R3")
             if verdict.defect_line and verdict.defect_line not in report.canvas_defects:
                 report.canvas_defects.append(_line(verdict.defect_line))
             report.padded_pngs[theme] = pad_to(hardened.data, verdict.target)
-        for line in _probe_lines(output.probe, rows):
+        for gate, line in _probe_lines(output.probe, rows):
+            report.failed_gates.append(gate)
             advisory.setdefault(line, []).append(theme)
     if len(missed) == 1:
         # `core.canvas` writes the line as `(both)`; name the one theme that missed.
@@ -271,19 +281,19 @@ def _finite(values: Any, count: int) -> list[float] | None:
     return numbers if all(math.isfinite(number) for number in numbers) else None
 
 
-def _probe_lines(probe: dict[str, Any] | None, rows: int) -> list[str]:
-    """Advisory defect lines from one theme's probe; a malformed probe yields none, never an exception."""
+def _probe_lines(probe: dict[str, Any] | None, rows: int) -> list[tuple[str, str]]:
+    """Advisory `(gate, line)` pairs from one theme's probe; a malformed probe yields none, never an exception."""
     try:
         return _probe_lines_unchecked(probe, rows)
     except (ValueError, TypeError, OverflowError, AttributeError):
         return []
 
 
-def _probe_lines_unchecked(probe: dict[str, Any] | None, rows: int) -> list[str]:
-    """Advisory defect lines from one theme's probe; `(THEME)` is filled in by the caller."""
+def _probe_lines_unchecked(probe: dict[str, Any] | None, rows: int) -> list[tuple[str, str]]:
+    """Advisory `(gate, line)` pairs from one theme's probe; `(THEME)` is filled in by the caller."""
     if not isinstance(probe, dict):
         return []
-    lines: list[str] = []
+    lines: list[tuple[str, str]] = []
     canvas = _finite(probe.get("canvas"), 2)
     texts = probe.get("texts")
     if canvas is not None and isinstance(texts, list):
@@ -297,25 +307,37 @@ def _probe_lines_unchecked(probe: dict[str, Any] | None, rows: int) -> list[str]
             worst = max(worst, -x0, -y0, x1 - width, y1 - height)
         if worst > CLIP_TOLERANCE_PX:
             lines.append(
-                f"AR-09 (THEME): text extends {round(worst)} px beyond the canvas edge → keep every text inside "
-                "the canvas. Likely cause: a label position, a long tick label or a large font size."
+                (
+                    "G3",
+                    f"AR-09 (THEME): text extends {round(worst)} px beyond the canvas edge → keep every text inside "
+                    "the canvas. Likely cause: a label position, a long tick label or a large font size.",
+                )
             )
     overlaps = probe.get("tick_overlaps")
     if isinstance(overlaps, int) and overlaps > 0:
         lines.append(
-            f"VQ-02 (THEME): {overlaps} pairs of tick labels overlap → no overlapping tick labels. "
-            "Likely cause: too many ticks for the axis length, or unrotated long labels."
+            (
+                "G7",
+                f"VQ-02 (THEME): {overlaps} pairs of tick labels overlap → no overlapping tick labels. "
+                "Likely cause: too many ticks for the axis length, or unrotated long labels.",
+            )
         )
     outside = probe.get("annotations_outside")
     if isinstance(outside, int) and outside > 0:
         lines.append(
-            f"DQ-03 (THEME): {outside} annotations lie outside their axes → place annotations from a rule over df "
-            "or remove them. Likely cause: an annotation at a data coordinate of the example data."
+            (
+                "G5",
+                f"DQ-03 (THEME): {outside} annotations lie outside their axes → place annotations from a rule over "
+                "df or remove them. Likely cause: an annotation at a data coordinate of the example data.",
+            )
         )
     points = probe.get("points")
     if isinstance(points, int) and rows > 0 and points > rows * G8_FACTOR + G8_SLACK:
         lines.append(
-            f"DQ-03 (code): the plot draws {points} point marks for {rows} data rows → draw marks only from df. "
-            "Likely cause: generated or duplicated data."
+            (
+                "G8",
+                f"DQ-03 (code): the plot draws {points} point marks for {rows} data rows → draw marks only from df. "
+                "Likely cause: generated or duplicated data.",
+            )
         )
     return lines
diff --git a/agents/evals/baselines/README.md b/agents/evals/baselines/README.md
new file mode 100644
index 0000000000..6ec0536dcb
--- /dev/null
+++ b/agents/evals/baselines/README.md
@@ -0,0 +1,11 @@
+# Eval baselines
+
+Each file here is a full report of the regression harness (`agents/evals/matrix.py`), named after the model it ran: `claude-haiku-5-5.json` for the pinned default, `gemini-3.8-flash.json` for the Gemini arm. A harness run compares itself with the pinned model's baseline by default, over the cases both reports hold, and exits with code 1 when its pass rate on those cases falls more than the tolerance below the baseline's.
+
+`claude-haiku-5-5.json` is the first spike-X run on the Claude arm (2026-10-10: 122 cases, 102 passed the gates, $0.52 at list price). The Gemini arm's run creates `gemini-3.8-flash.json` the same way (see "Run spike X" in `agents/README.md`):
+
+```bash
+uv run --extra agents python -m agents.evals.matrix --cases full --save-baseline ...
+```
+
+Review the run's gallery before you commit the file. `--save-baseline` refuses a run that stopped early, included promoted cases (`agents/evals/.cases/`, which hold users' data, while a baseline is committed), or has any run that ended in an error (a harness crash or a pipeline `error`, which measures an outage or a bug, not the model). Once a baseline exists, `tests/unit/agents/evals/test_baselines.py` requires one for the pinned model, so a model bump adds the new model's baseline in the same PR.
diff --git a/agents/evals/baselines/claude-haiku-5-5.json b/agents/evals/baselines/claude-haiku-5-5.json
new file mode 100644
index 0000000000..98b5edee08
--- /dev/null
+++ b/agents/evals/baselines/claude-haiku-5-5.json
@@ -0,0 +1,9562 @@
+{
+  "schema": 1,
+  "stamp": {
+    "run_id": "4b5730766e6a",
+    "date": "2026-10-10",
+    "started_at": "2026-10-10T00:26:34+00:00",
+    "finished_at": "2026-10-10T01:04:51+00:00",
+    "provider": "anthropic-vertex",
+    "model": "claude-haiku-5-5",
+    "judge_model": "claude-haiku-5-5",
+    "location": "eu",
+    "renderer": "remote",
+    "render_url": "https://anyplot-renderer-spike-r3tvmejsmq-ez.a.run.app",
+    "adk_version": "2.11.0",
+    "anthropic_version": "1.8.0",
+    "service_version": "3.3.0",
+    "python": "3.13.12",
+    "git_sha": "27483822dbc716ab7a7777591bf75b1193e66ba6",
+    "prompt_hashes": {
+      "root": "5b2f2d0c2f26ee61",
+      "reviewer": "a74533c41581d02d",
+      "adapter_matplotlib": "1a4705ab66b74c43",
+      "adapter_seaborn": "f8dea9a822b937c7"
+    },
+    "prices_usd_per_mtok": {
+      "claude-haiku-5-5": {
+        "input": 0.1,
+        "output": 0.5
+      }
+    },
+    "location_surcharge": 0.1,
+    "cases": "full",
+    "case_count": 122,
+    "repeats": 1,
+    "budget_usd": 4.0,
+    "tolerance": 0.05,
+    "gallery_seed": 0,
+    "baseline": null,
+    "argv": [
+      "--provider",
+      "anthropic-vertex",
+      "--location",
+      "eu",
+      "--cases",
+      "full",
+      "--renderer",
+      "remote",
+      "--render-url",
+      "https://anyplot-renderer-spike-r3tvmejsmq-ez.a.run.app",
+      "--gcloud-token",
+      "--budget-usd",
+      "4",
+      "--out",
+      "agents/evals/reports/spike-x-claude",
+      "--no-baseline",
+      "--save-baseline"
+    ]
+  },
+  "summary": {
+    "runs": 122,
+    "counted": 122,
+    "harness_errors": 0,
+    "pipeline_errors": 0,
+    "statuses": {
+      "failed": 10,
+      "needs_attention": 98,
+      "ok": 14
+    },
+    "passed": 102,
+    "pass_rate": 0.8360655737704918,
+    "repaired_passes": 93,
+    "ok_rate": 0.11475409836065574,
+    "accept_judged": 122,
+    "accept_match_rate": 0.11475409836065574,
+    "cost_total_usd": 0.5247241340000001,
+    "cost_per_run_usd": 0.004301017491803279,
+    "cost_per_success_usd": 0.005144354254901962,
+    "median_cost_per_success_usd": 0.004145647,
+    "latency_s": {
+      "e2e_p50": 18.465903488497133,
+      "e2e_p95": 25.136452626697427,
+      "ttfe_p50": 0.45433214950026013,
+      "ttfe_p95": 0.8181981615569384,
+      "render_p50": 4.049,
+      "render_p95": 5.0683
+    },
+    "llm_calls_per_run": 4.770491803278689,
+    "tokens": {
+      "cache_write": 1639506,
+      "cached": 5949299,
+      "candidates": 390034,
+      "judge_input": 132011,
+      "judge_output": 7198,
+      "prompt": 7596541,
+      "thoughts": 0,
+      "tool_use_prompt": 0
+    },
+    "gate_failures": {
+      "G3": 100,
+      "R1": 10
+    },
+    "validator_rejections": {
+      "banned-call": 3,
+      "banned-import": 3,
+      "placeholder-count": 8
+    },
+    "adapter_outcomes": {
+      "plan": 208,
+      "schema": 27
+    },
+    "edit_apply_failures": 19,
+    "reviewer": {
+      "None": 19,
+      "defects": 71,
+      "ok": 14,
+      "unreadable": 18
+    },
+    "model_versions": [
+      "claude-haiku-5-5"
+    ],
+    "by_perturbation": {
+      "custom": {
+        "runs": 2,
+        "passed": 2,
+        "ok": 0,
+        "pass_rate": 1.0
+      },
+      "date": {
+        "runs": 20,
+        "passed": 17,
+        "ok": 3,
+        "pass_rate": 0.85
+      },
+      "decimal-comma": {
+        "runs": 20,
+        "passed": 17,
+        "ok": 3,
+        "pass_rate": 0.85
+      },
+      "n12": {
+        "runs": 20,
+        "passed": 14,
+        "ok": 2,
+        "pass_rate": 0.7
+      },
+      "n5000": {
+        "runs": 20,
+        "passed": 16,
+        "ok": 0,
+        "pass_rate": 0.8
+      },
+      "renamed": {
+        "runs": 20,
+        "passed": 17,
+        "ok": 2,
+        "pass_rate": 0.85
+      },
+      "x10": {
+        "runs": 20,
+        "passed": 19,
+        "ok": 4,
+        "pass_rate": 0.95
+      }
+    },
+    "by_library": {
+      "matplotlib": {
+        "runs": 61,
+        "passed": 48,
+        "ok": 7,
+        "pass_rate": 0.7868852459016393
+      },
+      "seaborn": {
+        "runs": 61,
+        "passed": 54,
+        "ok": 7,
+        "pass_rate": 0.8852459016393442
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+      "perturbation": "date",
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+        "date",
+        "synthetic",
+        "dd.mm.yyyy",
+        "iso-date",
+        "date-axis"
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+        "VQ-01 (light): Tick labels and offset/annotation text (e.g. '2026-Mar' at bottom right) are small and light grey, low legibility at full size → tick labels about 12 pt equivalent, annotation in INK_SOFT at readable size (about +4 pt). Likely cause: ax.tick_params labelsize=8 and the ConciseDateFormatter offset text not sized from theme/size tokens.",
+        "SC-03 (light): Plot fills from y=0 but the y-axis is a hard-coded 0 to max*1.06 while area ends at the right edge with a visible vertical edge line; the 2026-Mar offset label overlaps the x-axis label region → offset label moved clear of the 'Date' axis title with no overlap. Likely cause: ConciseDateFormatter offset text placed at default bottom-right position colliding with xlabel."
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+        "VQ-01 (light): tick labels and axis titles render small relative to canvas (tick labels about 8pt, axis titles 10pt) and look faint in INK_SOFT → tick labels about 10pt and axis titles about 12pt for legibility at full size. Likely cause: ax.tick_params labelsize=8 and set_xlabel/set_ylabel fontsize=10 are below the style-guide sizing defaults."
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+        "VQ-06 (light): plot title is empty string, so no title names the user's energy data → a title naming the energy use per day dataset. Likely cause: title variable set to an empty string."
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+        "AR-09 (light): the title and axis text extend slightly beyond the canvas edge (gate note: 7 px past the edge) → all text fully inside the canvas (about 7 px inward). Likely cause: fig.subplots_adjust top/left margins and the title placement leave text too close to or past the canvas border.",
+        "DQ-03 (light): y-axis ticks are fixed by the example's data range and the fill baseline is set to y_min=0.94*min, so the area floor is an arbitrary non-zero value (about 1150) rather than the axis origin → y-axis range derived from the user's values, with the fill anchored at a baseline that matches the axis bottom. Likely cause: ax.fill_between using y_min from visitors.min()*0.94 and the axis limits computed from the same expression."
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+      "spec_id": "area-basic",
+      "library": "seaborn",
+      "perturbation": "renamed",
+      "expected": "accepted",
+      "tags": [
+        "area",
+        "renamed",
+        "synthetic",
+        "renamed-headers"
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+      "attempts": 2,
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+      "accepted": false,
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+      "adaptation": [],
+      "advisory": [],
+      "residual_defects": [
+        "the plot was not reviewed (the review answer could not be read)"
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+        "G3": 1
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+      "edit_apply_failures": 0,
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+        "verdict": "unreadable",
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+      "error": null,
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+    {
+      "case_id": "area-basic-seaborn-x10",
+      "repeat": 1,
+      "spec_id": "area-basic",
+      "library": "seaborn",
+      "perturbation": "x10",
+      "expected": "accepted",
+      "tags": [
+        "area",
+        "x10",
+        "synthetic",
+        "scaled-values"
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+      "origin": "fixtures",
+      "status": "needs_attention",
+      "reason": null,
+      "attempts": 2,
+      "passed": true,
+      "accepted": false,
+      "accept_match": false,
+      "padded": false,
+      "adaptation": [],
+      "advisory": [],
+      "residual_defects": [
+        "DQ-03 (light): Three stacked fill layers at 1/3, 2/3 and full data height create banded fills that are not a real gradient and misrepresent the area as multiple overlapping series → A single semi-transparent fill (alpha 0.3-0.5) from baseline to the line, or a smooth vertical gradient, with no fills at scaled fractions of the data. Likely cause: the layered for-loop of ax.fill_between calls using df[y_col] * frac.",
+        "VQ-06 (light): The x-axis title 'Day' does not name the unit or the data period, and the y-axis title lacks a unit-aware label beyond the generic example text → Axis titles that name the user's data, e.g. 'Day of observation' with units. Likely cause: the ax.set_xlabel('Day') call."
+      ],
+      "gate_failures": {},
+      "validator_rejections": {},
+      "adapter_outcomes": {
+        "plan": 1,
+        "schema": 1
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+      "edit_apply_failures": 0,
+      "reviewer": {
+        "verdict": "defects",
+        "defects": [
+          "DQ-03",
+          "VQ-06"
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+      "llm_calls": 5,
+      "llm_calls_by_agent": {
+        "adapter_seaborn": 2,
+        "anyplot": 2,
+        "reviewer": 1
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+      "tokens": {
+        "prompt": 67192,
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+      "png": "renders/area-basic-seaborn-x10-r1.png",
+      "error": null,
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+    {
+      "case_id": "bar-grouped-matplotlib-date",
+      "repeat": 1,
+      "spec_id": "bar-grouped",
+      "library": "matplotlib",
+      "perturbation": "date",
+      "expected": "accepted",
+      "tags": [
+        "bar",
+        "date",
+        "synthetic",
+        "dd.mm.yyyy",
+        "iso-date",
+        "unbound-dates"
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+      "origin": "fixtures",
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+      "reason": null,
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+      "accepted": false,
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+      "padded": false,
+      "adaptation": [],
+      "advisory": [],
+      "residual_defects": [
+        "VQ-02 (light): The legend box overlaps the value labels of the first Biology bars (e.g. '73.0' and '72.1' are covered by the 'Grade Level' legend frame and its drop-shadow). → No text or legend collision; legend moved clear of the bar value labels (e.g. outside the plot area or to upper right where no bars reach). Likely cause: ax.legend loc='upper left' placed over the first category's tall bars; the legend frame sits on top of the value annotations.",
+        "VQ-03 (light): Drop-shadow path effect renders as a grey offset block behind each bar, including the legend swatches, reading as a stray grey rectangle. → Bars and legend glyphs show only their palette color with ink outline; shadow removed or made non-overlapping with legend. Likely cause: patheffects.withSimplePatchShadow applied to every bar rect, which also bleeds into the legend area.",
+        "DQ-03 (light): Scatter dots drawn on top of every bar top and the bold 'top performer' emphasis are an extra encoding not requested by the spec. → Only bars with value labels; no extra marker overlay on each bar top. Likely cause: ax.scatter marker loop over all bars in the value-label section."
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+      "validator_rejections": {},
+      "adapter_outcomes": {
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+      "reviewer": {
+        "verdict": "defects",
+        "defects": [
+          "VQ-02",
+          "VQ-03",
+          "DQ-03"
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+      "error": null,
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+    {
+      "case_id": "bar-grouped-matplotlib-decimal-comma",
+      "repeat": 1,
+      "spec_id": "bar-grouped",
+      "library": "matplotlib",
+      "perturbation": "decimal-comma",
+      "expected": "accepted",
+      "tags": [
+        "bar",
+        "decimal-comma",
+        "synthetic",
+        "semicolon"
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+      "origin": "fixtures",
+      "status": "needs_attention",
+      "reason": null,
+      "attempts": 2,
+      "passed": true,
+      "accepted": false,
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+      "padded": false,
+      "adaptation": [],
+      "advisory": [],
+      "residual_defects": [
+        "VQ-02 (light): The legend box in the upper left overlaps the Biology Grade 7 value label '73.0' and its bar-shadow, which are partly hidden behind the legend frame. → No text or data covered by the legend; move legend outside the bar area or to a clear corner (e.g. upper right or outside the axes). Likely cause: ax.legend loc='upper left' placed over the tallest first-category bars and their value labels.",
+        "VQ-03 (light): Drop-shadow path effects on bars render as grey offset blocks that read as visual noise and extend beyond bar edges, and the legend glyphs carry the same shadow. → Remove the patheffects shadow so bars and legend swatches match their marks cleanly. Likely cause: rect.set_path_effects with withSimplePatchShadow applied to every bar rectangle.",
+        "VQ-01 (light): Value labels at fontsize 9 and the legend title sit small relative to the 3200px canvas, and the y-axis label and tick labels are inconsistent in size with the x-axis label. → Value labels about 11-12pt-equivalent; tick labels matched to axis-label sizing (about 10pt). Likely cause: Hard-coded fontsize=9 on annotations and labelsize=8 on ticks versus fontsize=10 axis labels."
+      ],
+      "gate_failures": {
+        "R1": 1
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+      "reviewer": {
+        "verdict": "defects",
+        "defects": [
+          "VQ-02",
+          "VQ-03",
+          "VQ-01"
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+      "llm_calls": 5,
+      "llm_calls_by_agent": {
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+      "turns": 1,
+      "png": "renders/bar-grouped-matplotlib-decimal-comma-r1.png",
+      "error": null,
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+    {
+      "case_id": "bar-grouped-matplotlib-n12",
+      "repeat": 1,
+      "spec_id": "bar-grouped",
+      "library": "matplotlib",
+      "perturbation": "n12",
+      "expected": "accepted",
+      "tags": [
+        "bar",
+        "n12",
+        "synthetic",
+        "small",
+        "smoke"
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+      "origin": "fixtures",
+      "status": "needs_attention",
+      "reason": null,
+      "attempts": 2,
+      "passed": false,
+      "accepted": false,
+      "accept_match": false,
+      "padded": false,
+      "adaptation": [
+        "palette-prefix",
+        "palette-prefix"
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+      "advisory": [],
+      "residual_defects": [
+        "VQ-07 (code): IMPRINT must be a list of colour string literals at line 25 → derive it from df and the Imprint palette. Likely cause: the adaptation (palette-prefix).",
+        "VQ-07 (code): IMPRINT must be a list of colour string literals at line 27 → derive it from df and the Imprint palette. Likely cause: the adaptation (palette-prefix).",
+        "VQ-02 (light): Legend box in upper left overlaps the Mathematics bars and the '70.9' and '69.1'-style value labels (e.g. '66.1' and '70.9' are hidden behind the legend frame) → no text or bars covered by the legend; legend moved outside the plot area or to a clear region (about 0 px overlap). Likely cause: ax.legend loc='upper left' placed over the first category's tallest bars; the legend needs loc outside the axes or bbox_to_anchor.",
+        "VQ-03 (light): Drop shadows (path effect offset 4,-4 with alpha 0.30) render as grey blocks behind every bar, and the scatter markers on bar tops are small and semi-transparent, adding visual noise → clean bar faces with no offset grey blocks behind them; markers readable or removed. Likely cause: patheffects.withSimplePatchShadow on each rect and the ax.scatter top-marker loop.",
+        "AR-09 (light): Value label '66.1' for Mathematics Grade 7 is partly clipped/overlapped by the legend frame and the Grade 8 label '70.9' is obscured → all value labels fully visible. Likely cause: legend placement at upper left over the data labels."
+      ],
+      "gate_failures": {},
+      "validator_rejections": {},
+      "adapter_outcomes": {
+        "plan": 2
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+      "edit_apply_failures": 0,
+      "reviewer": {
+        "verdict": "defects",
+        "defects": [
+          "VQ-02",
+          "VQ-03",
+          "AR-09"
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+      "llm_calls": 5,
+      "llm_calls_by_agent": {
+        "adapter_matplotlib": 2,
+        "anyplot": 2,
+        "reviewer": 1
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+      "tokens": {
+        "prompt": 69312,
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+      "turns": 1,
+      "png": "renders/bar-grouped-matplotlib-n12-r1.png",
+      "error": null,
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+    {
+      "case_id": "bar-grouped-matplotlib-n5000",
+      "repeat": 1,
+      "spec_id": "bar-grouped",
+      "library": "matplotlib",
+      "perturbation": "n5000",
+      "expected": "accepted",
+      "tags": [
+        "bar",
+        "n5000",
+        "synthetic",
+        "large",
+        "aggregation"
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+      "origin": "fixtures",
+      "status": "needs_attention",
+      "reason": null,
+      "attempts": 2,
+      "passed": false,
+      "accepted": false,
+      "accept_match": false,
+      "padded": false,
+      "adaptation": [
+        "palette-prefix",
+        "palette-prefix",
+        "palette-prefix"
+      ],
+      "advisory": [],
+      "residual_defects": [
+        "VQ-07 (code): IMPRINT must be a list of colour string literals at line 39 → derive it from df and the Imprint palette. Likely cause: the adaptation (palette-prefix).",
+        "VQ-07 (code): 'IMPRINT.append' would change the palette at line 44 → derive it from df and the Imprint palette. Likely cause: the adaptation (palette-prefix).",
+        "VQ-07 (code): IMPRINT must be a list of colour string literals at line 45 → derive it from df and the Imprint palette. Likely cause: the adaptation (palette-prefix).",
+        "VQ-02 (light): The legend box sits on top of the Biology bars and covers the value label '73.5' of Grade 8 (partly hidden behind the legend frame) → Legend moved clear of bar value labels (e.g. outside the plot area or above the axes), no label covered. Likely cause: ax.legend loc='upper left' placed over the tallest Biology bar labels.",
+        "VQ-03 (light): Scatter markers drawn on top of every bar top overlap the value labels' area and the bar edges; the top-performer markers are oversized relative to bars → Markers removed or reduced so they do not compete with bar tops and labels. Likely cause: ax.scatter marker overlay on each bar top (s=60/34).",
+        "VQ-03 (light): Drop-shadow path effect renders as a grey offset block to the right of each bar, reading as detached grey rectangles beside the bars → Shadow removed or made subtle so bars read as clean shapes. Likely cause: patheffects.withSimplePatchShadow applied to each bar rect."
+      ],
+      "gate_failures": {},
+      "validator_rejections": {},
+      "adapter_outcomes": {
+        "plan": 2
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+      "edit_apply_failures": 0,
+      "reviewer": {
+        "verdict": "defects",
+        "defects": [
+          "VQ-02",
+          "VQ-03",
+          "VQ-03"
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+      "llm_calls": 5,
+      "llm_calls_by_agent": {
+        "adapter_matplotlib": 2,
+        "anyplot": 2,
+        "reviewer": 1
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+      "tokens": {
+        "prompt": 69322,
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+      "turns": 1,
+      "png": "renders/bar-grouped-matplotlib-n5000-r1.png",
+      "error": null,
+      "pipeline_error": null
+    },
+    {
+      "case_id": "bar-grouped-matplotlib-renamed",
+      "repeat": 1,
+      "spec_id": "bar-grouped",
+      "library": "matplotlib",
+      "perturbation": "renamed",
+      "expected": "accepted",
+      "tags": [
+        "bar",
+        "renamed",
+        "synthetic",
+        "renamed-headers",
+        "non-ascii-headers"
+      ],
+      "origin": "fixtures",
+      "status": "needs_attention",
+      "reason": null,
+      "attempts": 2,
+      "passed": true,
+      "accepted": false,
+      "accept_match": false,
+      "padded": false,
+      "adaptation": [],
+      "advisory": [],
+      "residual_defects": [
+        "VQ-07 (light): Bars carry a black drop shadow (patheffects withSimplePatchShadow) rendering grey offsets beside each bar and in the legend swatches, adding non-palette chrome → No shadow effect; flat Imprint-colored bars with only the thin ink edge. Likely cause: The patheffects.withSimplePatchShadow call applied to each bar rect.",
+        "VQ-03 (light): Top-performer scatter markers sit on top of bar tops and overlap the value labels' area, with the value labels for the max bars bold and cluttered → Remove the extra scatter overlay markers so only bar tops and value labels remain. Likely cause: The ax.scatter top-performer marker loop."
+      ],
+      "gate_failures": {
+        "R1": 1
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+      "edit_apply_failures": 0,
+      "reviewer": {
+        "verdict": "defects",
+        "defects": [
+          "VQ-07",
+          "VQ-03"
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+      "llm_calls": 5,
+      "llm_calls_by_agent": {
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+        "anyplot": 2,
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+      "turns": 1,
+      "png": "renders/bar-grouped-matplotlib-renamed-r1.png",
+      "error": null,
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+    {
+      "case_id": "bar-grouped-matplotlib-x10",
+      "repeat": 1,
+      "spec_id": "bar-grouped",
+      "library": "matplotlib",
+      "perturbation": "x10",
+      "expected": "accepted",
+      "tags": [
+        "bar",
+        "x10",
+        "synthetic",
+        "scaled-values"
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+      "origin": "fixtures",
+      "status": "needs_attention",
+      "reason": null,
+      "attempts": 2,
+      "passed": true,
+      "accepted": false,
+      "accept_match": false,
+      "padded": false,
+      "adaptation": [],
+      "advisory": [],
+      "residual_defects": [
+        "VQ-07 (light): Bars carry a black drop-shadow path effect (offset shadow in grey) and the legend swatches also show shadows, adding non-palette chrome → Flat Imprint-colored bars with no drop shadow, consistent with the minimalism rule. Likely cause: patheffects.withSimplePatchShadow applied to each bar rectangle.",
+        "VQ-03 (light): Overplotted circle markers sit on top of every bar top with value labels, adding clutter; the top-performer scatter markers duplicate the bar edges → Remove the redundant scatter markers so only bars and their value labels encode the values. Likely cause: ax.scatter loop drawing markers at each bar top.",
+        "SC-03 (light): Y-axis tick labels and value labels are sized and colored unevenly; the Subject/Test Score titles are larger than tick labels → Consistent typographic hierarchy, tick labels at similar visual weight to axis labels. Likely cause: mismatched fontsize values (axis labels 10, ticks 8, value labels 9)."
+      ],
+      "gate_failures": {
+        "R1": 1
+      },
+      "validator_rejections": {},
+      "adapter_outcomes": {
+        "plan": 2
+      },
+      "edit_apply_failures": 0,
+      "reviewer": {
+        "verdict": "defects",
+        "defects": [
+          "VQ-07",
+          "VQ-03",
+          "SC-03"
+        ]
+      },
+      "llm_calls": 5,
+      "llm_calls_by_agent": {
+        "adapter_matplotlib": 2,
+        "anyplot": 2,
+        "reviewer": 1
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+      "error": null,
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+    {
+      "case_id": "bar-grouped-seaborn",
+      "repeat": 1,
+      "spec_id": "bar-grouped",
+      "library": "seaborn",
+      "perturbation": null,
+      "expected": "accepted",
+      "tags": [
+        "categorical",
+        "four-groups",
+        "palette-extension",
+        "german-locale",
+        "smoke"
+      ],
+      "origin": "fixtures",
+      "status": "needs_attention",
+      "reason": null,
+      "attempts": 2,
+      "passed": true,
+      "accepted": false,
+      "accept_match": false,
+      "padded": false,
+      "adaptation": [],
+      "advisory": [],
+      "residual_defects": [
+        "VQ-07 (light): First categorical series (North) renders as a teal-green darker than #009E73, and bar colors appear shifted from the Imprint palette values (e.g. ochre and blue look muted/darkened) → first series exactly #009E73 with other series in Imprint order without alpha/darkening. Likely cause: seaborn barplot palette/edgecolor handling with IMPRINT[:n_groups]; bars appear to be drawn with reduced alpha or an overlay.",
+        "VQ-01 (light): Value labels and tick labels (about 8pt) and legend text are small relative to the 3200px canvas; axis titles at 10pt look undersized next to the 12pt title → tick and value labels about 10-11pt, axis titles about 12pt (+2pt each). Likely cause: fontsize=8 on bar_label, tick_params labelsize=8, and fontsize=10 on set_xlabel/set_ylabel."
+      ],
+      "gate_failures": {
+        "G3": 1
+      },
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+      "adapter_outcomes": {
+        "plan": 2
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+      "edit_apply_failures": 0,
+      "reviewer": {
+        "verdict": "defects",
+        "defects": [
+          "VQ-07",
+          "VQ-01"
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+      "llm_calls": 5,
+      "llm_calls_by_agent": {
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+    {
+      "case_id": "bar-grouped-seaborn-date",
+      "repeat": 1,
+      "spec_id": "bar-grouped",
+      "library": "seaborn",
+      "perturbation": "date",
+      "expected": "accepted",
+      "tags": [
+        "bar",
+        "date",
+        "synthetic",
+        "dd.mm.yyyy",
+        "iso-date",
+        "unbound-dates"
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+      "attempts": 2,
+      "passed": true,
+      "accepted": false,
+      "accept_match": false,
+      "padded": false,
+      "adaptation": [],
+      "advisory": [],
+      "residual_defects": [
+        "VQ-01 (light): Tick labels, value labels and legend text render at roughly 8pt on a 3200px canvas, small relative to the rest of the plot → tick and legend text about 12pt (+4pt) so they read at full and mobile size. Likely cause: the tick_params labelsize=8, bar_label fontsize=8 and move_legend fontsize=8 values.",
+        "VQ-06 (light): Axis title 'Test Score' and 'Subject' are set at 10pt, smaller than the chart title and mismatched in weight → axis titles about 12pt to match title hierarchy. Likely cause: the set_xlabel and set_ylabel fontsize=10 values.",
+        "VQ-07 (light): Bars use palette positions 1-3 but the first group (Grade 7) is green while bar edges are pure white, which is off-palette chrome for the bar outlines → ink-colored thin stroke on bar edges per the Imprint outline guidance. Likely cause: edgecolor='white' in sns.barplot."
+      ],
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+      "validator_rejections": {},
+      "adapter_outcomes": {
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+        "verdict": "defects",
+        "defects": [
+          "VQ-01",
+          "VQ-06",
+          "VQ-07"
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+    {
+      "case_id": "bar-grouped-seaborn-decimal-comma",
+      "repeat": 1,
+      "spec_id": "bar-grouped",
+      "library": "seaborn",
+      "perturbation": "decimal-comma",
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+        "bar",
+        "decimal-comma",
+        "synthetic",
+        "semicolon"
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+      "attempts": 2,
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+      "accepted": false,
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+      "padded": false,
+      "adaptation": [],
+      "advisory": [],
+      "residual_defects": [
+        "VQ-01 (light): value labels and tick labels render small (about 8pt) relative to the canvas; the value labels look faint grey → larger tick and value labels, about 10-11pt, for readability at full size. Likely cause: ax.bar_label fontsize=8 and tick_params labelsize=8 set too small.",
+        "VQ-07 (light): bars carry a white edge and the legend frame is a grey/white box instead of the elevated cream token → legend frame fill #FFFDF6 with ink-soft edge; bar edges subtle. Likely cause: edgecolor='white' on sns.barplot and legend facecolor not applied through move_legend."
+      ],
+      "gate_failures": {},
+      "validator_rejections": {},
+      "adapter_outcomes": {
+        "plan": 2
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+      "reviewer": {
+        "verdict": "defects",
+        "defects": [
+          "VQ-01",
+          "VQ-07"
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+      "llm_calls": 5,
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+        "adapter_seaborn": 2,
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+      "png": "renders/bar-grouped-seaborn-decimal-comma-r1.png",
+      "error": null,
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+    {
+      "case_id": "bar-grouped-seaborn-n12",
+      "repeat": 1,
+      "spec_id": "bar-grouped",
+      "library": "seaborn",
+      "perturbation": "n12",
+      "expected": "accepted",
+      "tags": [
+        "bar",
+        "n12",
+        "synthetic",
+        "small"
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+      "origin": "fixtures",
+      "status": "needs_attention",
+      "reason": null,
+      "attempts": 2,
+      "passed": true,
+      "accepted": false,
+      "accept_match": false,
+      "padded": false,
+      "adaptation": [],
+      "advisory": [],
+      "residual_defects": [
+        "VQ-07 (light): the three groups use #009E73, #C475FD and #4467A3 in order, but the bars render a darker green and a muted blue-grey that do not match the Imprint hexes, and the grid lines are drawn in a heavy grey → exact Imprint hexes #009E73, #C475FD, #4467A3 for groups 1-3, grid in theme rule colour. Likely cause: palette list passed to sns.barplot is filtered through an alpha/edge rendering path, and the grid uses color=INK instead of a 15% rule token.",
+        "VQ-01 (light): value labels at fontsize 8 and tick labels at about 8pt are small relative to the 3200px canvas; legend text is also small → value labels and tick labels about 12pt (+4pt). Likely cause: bar_label fontsize=8 and tick_params labelsize=8 are too small for the canvas."
+      ],
+      "gate_failures": {
+        "R1": 1
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+      "validator_rejections": {},
+      "adapter_outcomes": {
+        "plan": 2
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+      "edit_apply_failures": 0,
+      "reviewer": {
+        "verdict": "defects",
+        "defects": [
+          "VQ-07",
+          "VQ-01"
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+      "llm_calls": 5,
+      "llm_calls_by_agent": {
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+    {
+      "case_id": "bar-grouped-seaborn-n5000",
+      "repeat": 1,
+      "spec_id": "bar-grouped",
+      "library": "seaborn",
+      "perturbation": "n5000",
+      "expected": "accepted",
+      "tags": [
+        "bar",
+        "n5000",
+        "synthetic",
+        "large",
+        "aggregation"
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+      "origin": "fixtures",
+      "status": "needs_attention",
+      "reason": null,
+      "attempts": 2,
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+      "accepted": false,
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+      "adaptation": [],
+      "advisory": [],
+      "residual_defects": [
+        "VQ-03 (light): Seaborn error-bar (CI) whiskers are drawn as thick dark marks on every bar, cluttering the bars and overlapping the value labels → Remove the confidence-interval whiskers (errorbar=None) or thin them so the bars and labels read cleanly. Likely cause: sns.barplot called without errorbar=None, so default bootstrap CI lines are rendered.",
+        "SC-03 (light): Bar heights are means with a bootstrap CI, while the value labels use fmt '%.0f' on the bar container; the rounded labels do not clearly match the plotted mean → Plot the mean explicitly and label bars with the same mean value at a consistent precision. Likely cause: Reliance on seaborn's internal estimator instead of an explicit groupby mean."
+      ],
+      "gate_failures": {
+        "G3": 1
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+      "adapter_outcomes": {
+        "plan": 2
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+      "edit_apply_failures": 0,
+      "reviewer": {
+        "verdict": "defects",
+        "defects": [
+          "VQ-03",
+          "SC-03"
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+      "llm_calls": 5,
+      "llm_calls_by_agent": {
+        "adapter_seaborn": 2,
+        "anyplot": 2,
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+    {
+      "case_id": "bar-grouped-seaborn-renamed",
+      "repeat": 1,
+      "spec_id": "bar-grouped",
+      "library": "seaborn",
+      "perturbation": "renamed",
+      "expected": "accepted",
+      "tags": [
+        "bar",
+        "renamed",
+        "synthetic",
+        "renamed-headers",
+        "non-ascii-headers"
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+      "origin": "fixtures",
+      "status": "needs_attention",
+      "reason": null,
+      "attempts": 2,
+      "passed": true,
+      "accepted": false,
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+      "padded": false,
+      "adaptation": [],
+      "advisory": [],
+      "residual_defects": [
+        "DQ-03 (light): A hard-coded 'Top subject' callout and highlight band sit on History, with the callout arrow pointing at the bar top; the highlight is an example-data emphasis not derived from the user's data logic → Remove the 'Top subject' annotation and axvspan highlight unless the data supports it (or keep only if the top category is computed and labelled generically). Likely cause: the ax.annotate 'Top subject' call and ax.axvspan focal-point block.",
+        "VQ-06 (light): Plot title 'Average points by subject and grade' and axis title 'Fach' are in English/German mix; the x-axis label 'Fach' is untranslated while other labels are English → Consistent titles that name the user's data in one language, e.g. 'Average points (Punkte) by subject and grade'. Likely cause: hard-coded set_title and set_xlabel strings.",
+        "VQ-01 (light): Value labels and tick labels at fontsize 8 on a 3200 px canvas look small relative to the title → About 10 pt value labels and tick labels (+2 pt). Likely cause: bar_label fontsize=8 and tick_params labelsize=8."
+      ],
+      "gate_failures": {},
+      "validator_rejections": {},
+      "adapter_outcomes": {
+        "plan": 2
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+      "edit_apply_failures": 0,
+      "reviewer": {
+        "verdict": "defects",
+        "defects": [
+          "DQ-03",
+          "VQ-06",
+          "VQ-01"
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+      },
+      "llm_calls": 5,
+      "llm_calls_by_agent": {
+        "adapter_seaborn": 2,
+        "anyplot": 2,
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+      "png": "renders/bar-grouped-seaborn-renamed-r1.png",
+      "error": null,
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+    {
+      "case_id": "bar-grouped-seaborn-x10",
+      "repeat": 1,
+      "spec_id": "bar-grouped",
+      "library": "seaborn",
+      "perturbation": "x10",
+      "expected": "accepted",
+      "tags": [
+        "bar",
+        "x10",
+        "synthetic",
+        "scaled-values"
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+      "origin": "fixtures",
+      "status": "needs_attention",
+      "reason": null,
+      "attempts": 2,
+      "passed": true,
+      "accepted": false,
+      "accept_match": false,
+      "padded": false,
+      "adaptation": [],
+      "advisory": [
+        "G3"
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+      "residual_defects": [
+        "AR-09 (light): text extends 22 px beyond the canvas edge → keep every text inside the canvas. Likely cause: a label position, a long tick label or a large font size.",
+        "AR-09 (light): Text extends about 22 px beyond the canvas edge (gate note); legend and tick text sit at the bottom/right edge → All text fully inside the canvas, about 22 px of margin added. Likely cause: sns.move_legend bbox_to_anchor=(0.5, -0.14) pushing the legend low, combined with tight_layout not reserving room for it.",
+        "VQ-06 (light): Legend title and entries are an auto-generated hue legend, and the value-label fmt of %.0f rounds scores; the y-axis title 'Test Score' is fine but the plot title is empty → A plot title naming the user's data (e.g. test score by subject and grade level). Likely cause: ax.set_title(\"\") leaves the plot without a title."
+      ],
+      "gate_failures": {
+        "G3": 1
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+      "adapter_outcomes": {
+        "plan": 1,
+        "schema": 1
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+      "edit_apply_failures": 0,
+      "reviewer": {
+        "verdict": "defects",
+        "defects": [
+          "AR-09",
+          "VQ-06"
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+      },
+      "llm_calls": 5,
+      "llm_calls_by_agent": {
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+        "anyplot": 2,
+        "reviewer": 1
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+    {
+      "case_id": "box-basic-matplotlib-date",
+      "repeat": 1,
+      "spec_id": "box-basic",
+      "library": "matplotlib",
+      "perturbation": "date",
+      "expected": "accepted",
+      "tags": [
+        "box",
+        "date",
+        "synthetic",
+        "dd.mm.yyyy",
+        "iso-date",
+        "unbound-dates",
+        "smoke"
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+      "origin": "fixtures",
+      "status": "failed",
+      "reason": "validation",
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+      "adapter_outcomes": {
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+        "VQ-07 (light): box fills use the Imprint palette but the box edges/whiskers render in near-black default seaborn ink rather than the theme token; first category is green as required → box edges and whiskers set to the theme ink token with a thin stroke consistent with the palette. Likely cause: seaborn boxplot default edge color not overridden."
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+        "VQ-01 (light): tick labels at about 8pt are small relative to the 3200-px canvas and axis titles → tick labels about 10pt (+2pt). Likely cause: ax.tick_params labelsize=8."
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+        "VQ-06 (light): Plot title is generic and does not name the measured quantity and units beyond the axis label; subtitle context about the 5000-row sample is absent → Title naming the fill weight distribution per production line (keep current wording or add 'n=5000'). Likely cause: the title string in ax.set_title."
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+        "the plot was not reviewed (the review answer could not be read)"
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+      "spec_id": "box-basic",
+      "library": "seaborn",
+      "perturbation": "x10",
+      "expected": "accepted",
+      "tags": [
+        "box",
+        "x10",
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+      "case_id": "heatmap-basic-matplotlib-date",
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+      "spec_id": "heatmap-basic",
+      "library": "matplotlib",
+      "perturbation": "date",
+      "expected": "accepted",
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+        "date",
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+        "dd.mm.yyyy",
+        "iso-date",
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+    {
+      "case_id": "heatmap-basic-matplotlib-decimal-comma",
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+      "spec_id": "heatmap-basic",
+      "library": "matplotlib",
+      "perturbation": "decimal-comma",
+      "expected": "accepted",
+      "tags": [
+        "heatmap",
+        "decimal-comma",
+        "synthetic",
+        "semicolon"
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+      "accepted": false,
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+      "adaptation": [],
+      "advisory": [],
+      "residual_defects": [
+        "VQ-01 (light): Cell annotation text (fontsize 5) and x tick labels (fontsize 7) are very small relative to the canvas; annotations are hard to read at full size → annotations about 8-9 pt and x tick labels about 10 pt (cell annotation +3 pt, tick +3 pt). Likely cause: ax.text fontsize=5 and ax.set_xticklabels fontsize=7 are too small for the mid-sized canvas.",
+        "VQ-01 (light): Colorbar tick labels and label are small (about 7 pt tick, 8 pt label) compared with axis titles → colorbar tick labels about 10 pt and label about 10 pt (+3 pt). Likely cause: cbar.ax.tick_params labelsize=7 and cbar.set_label fontsize=8.",
+        "DQ-03 (light): Colormap midpoint is set to the sample mean and the norm is symmetric around it, so the color scale is centred on an arbitrary value rather than a meaningful zero or reference → a midpoint tied to the data's meaningful reference (or a clearly labelled mean-centred scale). Likely cause: mid_val = np.nanmean(data) used as TwoSlopeNorm vcenter with span-based limits."
+      ],
+      "gate_failures": {
+        "R1": 1
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+      "adapter_outcomes": {
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+      "reviewer": {
+        "verdict": "defects",
+        "defects": [
+          "VQ-01",
+          "VQ-01",
+          "DQ-03"
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+    {
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+      "spec_id": "heatmap-basic",
+      "library": "matplotlib",
+      "perturbation": "n12",
+      "expected": "accepted",
+      "tags": [
+        "heatmap",
+        "n12",
+        "synthetic",
+        "small"
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+      "accepted": false,
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+      "residual_defects": [
+        "VQ-01 (light): white in-cell annotations on pale cells (e.g. 9.1, 10.8, 10.9) are nearly invisible against the off-white cell fill → annotation color contrast of at least 3:1 against every cell; use INK on light cells, white only on deep blue/red cells. Likely cause: text_color threshold 0.45*vmax_abs picks white for cells whose colormap value is near the light midpoint (e.g. 9.1 in a light cell).",
+        "SC-03 (light): TwoSlopeNorm centers at vmax_abs/2 (about 9.2) rather than the data midpoint, so the diverging colormap's neutral point does not correspond to a meaningful value; the colorbar runs 0 to 18.3 → center the norm on a meaningful reference (e.g. the data mean or median) so the neutral color marks that value. Likely cause: norm = TwoSlopeNorm(vmin=0, vcenter=vmax_abs/2, vmax=vmax_abs) hard-codes the center.",
+        "VQ-01 (light): cell annotations at about 7 px-equivalent size and tick labels in INK_SOFT are small relative to the 3200 px canvas → annotation fontsize about 9-10 pt (+2-3 pt). Likely cause: fontsize=7 in the ax.text annotation call and labelsize=7 on the colorbar."
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+          "SC-03",
+          "VQ-01"
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+      "library": "matplotlib",
+      "perturbation": "n5000",
+      "expected": "accepted",
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+        "n5000",
+        "synthetic",
+        "large",
+        "aggregation"
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+        "VQ-01 (light): cell value annotations at fontsize 6 are very small relative to the 3200px canvas and tiny at full size → about 9 pt annotation text (+3 pt). Likely cause: the ax.text fontsize=6 in the cell annotation loop.",
+        "VQ-03 (light): white annotation text on mid-blue/red cells (e.g. 16.6, 19.1, 23.2) is inconsistent with dark text elsewhere, reducing contrast on some cells → consistent contrast threshold so every annotation reads clearly on its cell. Likely cause: the rel > 0.45 text_color threshold in the annotation loop."
+      ],
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+    {
+      "case_id": "heatmap-basic-matplotlib-renamed",
+      "repeat": 1,
+      "spec_id": "heatmap-basic",
+      "library": "matplotlib",
+      "perturbation": "renamed",
+      "expected": "accepted",
+      "tags": [
+        "heatmap",
+        "renamed",
+        "synthetic",
+        "renamed-headers",
+        "non-ascii-headers"
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+        "VQ-01 (light): x tick labels (hours) and cell annotations at about 7pt/6pt equivalent, small relative to canvas; y tick labels and cbar ticks also small → larger tick labels and annotations, about 10pt for ticks and 8pt for annotations. Likely cause: fontsize=7 on set_xticklabels, fontsize=6 in ax.text annotations, labelsize=7 on cbar.ax.tick_params.",
+        "SC-03 (light): TwoSlopeNorm centre is set to the data mean, so the diverging midpoint does not represent a meaningful zero; colour contrast is compressed toward the mean → a meaningful midpoint (or a sequential map since values are non-negative response times). Likely cause: center = float(np.nanmean(data)) passed as vcenter in TwoSlopeNorm.",
+        "VQ-03 (light): white annotation text on light-to-mid cells (e.g. 15.3, 8.7 region) has weak contrast against the pale cell colours → text colour chosen so every annotation has clear contrast against its cell. Likely cause: text_color threshold rel > 0.45 in the annotation loop."
+      ],
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+        "defects": [
+          "VQ-01",
+          "SC-03",
+          "VQ-03"
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+    {
+      "case_id": "heatmap-basic-matplotlib-x10",
+      "repeat": 1,
+      "spec_id": "heatmap-basic",
+      "library": "matplotlib",
+      "perturbation": "x10",
+      "expected": "accepted",
+      "tags": [
+        "heatmap",
+        "x10",
+        "synthetic",
+        "scaled-values"
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+      "reason": null,
+      "attempts": 2,
+      "passed": true,
+      "accepted": false,
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+      "padded": false,
+      "adaptation": [],
+      "advisory": [],
+      "residual_defects": [
+        "VQ-01 (light): y-axis title 'Weekday' is missing from the render; only 'Hour' x-axis title is visible, and the colorbar label is present but the y label is absent → a visible 'Weekday' y-axis title at 10pt INK color. Likely cause: ax.set_ylabel call is overridden or clipped; the left margin (subplots_adjust left=0.13) is too narrow for the weekday tick labels plus the axis title.",
+        "VQ-02 (light): white in-cell annotations on saturated red/blue cells (e.g. hours 7-9, 18-20) use low-contrast white over light cells, and annotation text is about 6pt, small at full size → annotation font about 8pt with contrast-consistent colors (white only on dark cells). Likely cause: fontsize=6 in ax.text and the abs(val-vcenter) threshold for choosing white.",
+        "AR-09 (light): bottom area below the 'Hour' axis title has excess empty space while the left edge crowds the weekday tick labels → balanced margins with the full layout visible. Likely cause: fixed subplots_adjust values instead of tight layout / bbox_inches='tight'."
+      ],
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+      "validator_rejections": {
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+        "defects": [
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+          "VQ-02",
+          "AR-09"
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+      "library": "seaborn",
+      "perturbation": "date",
+      "expected": "accepted",
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+        "date",
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+        "dd.mm.yyyy",
+        "iso-date",
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+        "AR-09 (light): text extends 16 px beyond the canvas edge → keep every text inside the canvas. Likely cause: a label position, a long tick label or a large font size.",
+        "the plot was not reviewed (the repair round left defects)"
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+      "png": null,
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+    },
+    {
+      "case_id": "heatmap-basic-seaborn-n12",
+      "repeat": 1,
+      "spec_id": "heatmap-basic",
+      "library": "seaborn",
+      "perturbation": "n12",
+      "expected": "accepted",
+      "tags": [
+        "heatmap",
+        "n12",
+        "synthetic",
+        "small"
+      ],
+      "origin": "fixtures",
+      "status": "needs_attention",
+      "reason": null,
+      "attempts": 2,
+      "passed": true,
+      "accepted": false,
+      "accept_match": false,
+      "padded": false,
+      "adaptation": [],
+      "advisory": [
+        "G3"
+      ],
+      "residual_defects": [
+        "AR-09 (light): text extends 201 px beyond the canvas edge → keep every text inside the canvas. Likely cause: a label position, a long tick label or a large font size.",
+        "AR-09 (light): right-side row tick labels (Monday, Friday, Wednesday) run past the canvas right edge and are cut off; the 'Hour' x-axis title is clipped at the bottom edge → all labels fully inside the canvas (shift heatmap left or shrink figure/tick fonts so labels fit). Likely cause: clustermap figsize and cbar_pos/dendrogram layout leave no right margin; the y tick labels sit outside the axes at the right.",
+        "VQ-01 (light): colorbar tick labels (4.8, 11.0, 18.3) at about 7 pt are small and the colorbar label is crowded against the top title area → colorbar tick labels at least 9 pt with clear spacing from the title. Likely cause: cax tick_params labelsize=7 and cbar_pos placement near the top of the canvas."
+      ],
+      "gate_failures": {
+        "G3": 2
+      },
+      "validator_rejections": {},
+      "adapter_outcomes": {
+        "plan": 2
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+      "edit_apply_failures": 0,
+      "reviewer": {
+        "verdict": "defects",
+        "defects": [
+          "AR-09",
+          "VQ-01"
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+      "llm_calls": 5,
+      "llm_calls_by_agent": {
+        "adapter_seaborn": 2,
+        "anyplot": 2,
+        "reviewer": 1
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+      "tokens": {
+        "prompt": 67424,
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+      "error": null,
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+    {
+      "case_id": "heatmap-basic-seaborn-n5000",
+      "repeat": 1,
+      "spec_id": "heatmap-basic",
+      "library": "seaborn",
+      "perturbation": "n5000",
+      "expected": "accepted",
+      "tags": [
+        "heatmap",
+        "n5000",
+        "synthetic",
+        "large",
+        "aggregation"
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+      "attempts": 2,
+      "passed": true,
+      "accepted": false,
+      "accept_match": false,
+      "padded": false,
+      "adaptation": [],
+      "advisory": [
+        "G3"
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+      "residual_defects": [
+        "AR-09 (light): text extends 15 px beyond the canvas edge → keep every text inside the canvas. Likely cause: a label position, a long tick label or a large font size.",
+        "the plot was not reviewed (the review answer could not be read)"
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+      "gate_failures": {
+        "G3": 2
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+      "adapter_outcomes": {
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+      "edit_apply_failures": 0,
+      "reviewer": {
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+      "llm_calls_by_agent": {
+        "adapter_seaborn": 2,
+        "anyplot": 2,
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+      "png": "renders/heatmap-basic-seaborn-n5000-r1.png",
+      "error": null,
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+    {
+      "case_id": "heatmap-basic-seaborn-renamed",
+      "repeat": 1,
+      "spec_id": "heatmap-basic",
+      "library": "seaborn",
+      "perturbation": "renamed",
+      "expected": "accepted",
+      "tags": [
+        "heatmap",
+        "renamed",
+        "synthetic",
+        "renamed-headers",
+        "non-ascii-headers"
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+      "status": "needs_attention",
+      "reason": null,
+      "attempts": 2,
+      "passed": true,
+      "accepted": false,
+      "accept_match": false,
+      "padded": false,
+      "adaptation": [],
+      "advisory": [
+        "G3"
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+      "residual_defects": [
+        "AR-09 (light): text extends 10 px beyond the canvas edge → keep every text inside the canvas. Likely cause: a label position, a long tick label or a large font size.",
+        "VQ-01 (light): colorbar tick labels (18.2, 4.0) and the colorbar label sit small and crowd the top-left corner; cell annotations about 6 pt are small for the canvas → annotations and colorbar text at least about 9 pt, colorbar label clear of the title. Likely cause: annot_kws fontsize=6 and cax tick_params labelsize=7 / set_ylabel fontsize=9.",
+        "SC-03 (light): the x-axis is labelled 'Stunde' (hour) with bare numeric ticks, and the colorbar is placed far left, away from the heatmap; the colorbar label runs up to the top edge → colorbar adjacent to the heatmap and its label fully inside the canvas. Likely cause: cbar_pos=(0.08, 0.15, 0.04, 0.6) and set_ylabel labelpad combined with the left-positioned label.",
+        "AR-09 (light): colorbar label 'Antwortzeit Ø (min)' extends past the top-left canvas edge by about 10 px → all text fully inside the canvas with at least a few px margin. Likely cause: the rotated colorbar label placed left of the colorbar at cbar_pos x=0.08."
+      ],
+      "gate_failures": {
+        "G3": 2
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+      "validator_rejections": {},
+      "adapter_outcomes": {
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+      "edit_apply_failures": 0,
+      "reviewer": {
+        "verdict": "defects",
+        "defects": [
+          "VQ-01",
+          "SC-03",
+          "AR-09"
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+      "llm_calls_by_agent": {
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+        "anyplot": 2,
+        "reviewer": 1
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+      "turns": 1,
+      "png": "renders/heatmap-basic-seaborn-renamed-r1.png",
+      "error": null,
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+    },
+    {
+      "case_id": "heatmap-basic-seaborn-x10",
+      "repeat": 1,
+      "spec_id": "heatmap-basic",
+      "library": "seaborn",
+      "perturbation": "x10",
+      "expected": "accepted",
+      "tags": [
+        "heatmap",
+        "x10",
+        "synthetic",
+        "scaled-values"
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+      "origin": "fixtures",
+      "status": "needs_attention",
+      "reason": null,
+      "attempts": 2,
+      "passed": true,
+      "accepted": false,
+      "accept_match": false,
+      "padded": false,
+      "adaptation": [],
+      "advisory": [
+        "G3"
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+      "residual_defects": [
+        "AR-09 (light): text extends 15 px beyond the canvas edge → keep every text inside the canvas. Likely cause: a label position, a long tick label or a large font size.",
+        "VQ-02 (light): Annotation numbers in cells are wider than the cells and collide with each other (e.g. '143144134'), and the 1-digit-padded values run together → Annotations fit within each cell with clear gaps (smaller annot font, about 5-6pt, or fewer digits). Likely cause: annot_kws fontsize 7 too large for the cell width of a 24-column clustermap at figsize (6, 6).",
+        "AR-09 (light): Right-side row tick labels (e.g. 'Wednesday') and the bottom 'Hour' axis label run to or past the canvas edge; the 'Hour' label is clipped at the bottom → All text fully inside the canvas with a few pixels of margin. Likely cause: clustermap layout with figsize (6, 6) and fixed subplots_adjust(top=0.92); bottom/right margins not reserved.",
+        "VQ-06 (light): Y-axis title 'Response Time (min)' is placed at the top-left on the colorbar, while the heatmap's y-axis (Weekday) has no title → Y-axis titled 'Weekday' next to the rows; colorbar label kept separate. Likely cause: ax_heatmap.set_ylabel(\"\") and the colorbar label set in the wrong place."
+      ],
+      "gate_failures": {
+        "G3": 2
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+      "validator_rejections": {},
+      "adapter_outcomes": {
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+      "reviewer": {
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+        "defects": [
+          "VQ-02",
+          "AR-09",
+          "VQ-06"
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+      "turns": 1,
+      "png": "renders/heatmap-basic-seaborn-x10-r1.png",
+      "error": null,
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+    },
+    {
+      "case_id": "histogram-basic-matplotlib-date",
+      "repeat": 1,
+      "spec_id": "histogram-basic",
+      "library": "matplotlib",
+      "perturbation": "date",
+      "expected": "accepted",
+      "tags": [
+        "histogram",
+        "date",
+        "synthetic",
+        "dd.mm.yyyy",
+        "iso-date",
+        "unbound-dates"
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+      "origin": "fixtures",
+      "status": "needs_attention",
+      "reason": null,
+      "attempts": 2,
+      "passed": true,
+      "accepted": false,
+      "accept_match": false,
+      "padded": false,
+      "adaptation": [],
+      "advisory": [
+        "G3"
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+      "residual_defects": [
+        "AR-09 (light): text extends 385 px beyond the canvas edge → keep every text inside the canvas. Likely cause: a label position, a long tick label or a large font size.",
+        "VQ-02 (light): The 'Mean: 34.6 min' annotation box sits on top of the tallest histogram bars and its arrow overlaps the bar region near the top of the plot → annotation placed in clear space with no overlap on bars (e.g. above the bars or to the right of the mean line). Likely cause: the annotate xytext offset (mean_score - 15, y_max * 0.97) placed inside the data area.",
+        "AR-09 (light): text extends 385 px beyond the canvas edge (gate note) → all text fully inside the canvas. Likely cause: the annotation xytext positioned relative to mean_score with a large font/box width near the left, or long tick/label text; keep annotation inside axes bounds."
+      ],
+      "gate_failures": {
+        "G3": 2
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+      "adapter_outcomes": {
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+      "edit_apply_failures": 0,
+      "reviewer": {
+        "verdict": "defects",
+        "defects": [
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+      "png": "renders/histogram-basic-matplotlib-date-r1.png",
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+    {
+      "case_id": "histogram-basic-matplotlib-decimal-comma",
+      "repeat": 1,
+      "spec_id": "histogram-basic",
+      "library": "matplotlib",
+      "perturbation": "decimal-comma",
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+      "tags": [
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+        "decimal-comma",
+        "synthetic",
+        "semicolon"
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+      "accepted": false,
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+      "residual_defects": [
+        "AR-09 (light): text extends 385 px beyond the canvas edge → keep every text inside the canvas. Likely cause: a label position, a long tick label or a large font size.",
+        "the plot was not reviewed (the review answer could not be read)"
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+    {
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+      "repeat": 1,
+      "spec_id": "histogram-basic",
+      "library": "matplotlib",
+      "perturbation": "n12",
+      "expected": "accepted",
+      "tags": [
+        "histogram",
+        "n12",
+        "synthetic",
+        "small"
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+      "origin": "fixtures",
+      "status": "failed",
+      "reason": "validation",
+      "attempts": 2,
+      "passed": false,
+      "accepted": false,
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+      "padded": false,
+      "adaptation": [],
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+      "adapter_outcomes": {
+        "schema": 2
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+      "edit_apply_failures": 0,
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+        "defects": []
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+      "tokens": {
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+    {
+      "case_id": "histogram-basic-matplotlib-n5000",
+      "repeat": 1,
+      "spec_id": "histogram-basic",
+      "library": "matplotlib",
+      "perturbation": "n5000",
+      "expected": "accepted",
+      "tags": [
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+        "n5000",
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+        "large"
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+      "accept_match": false,
+      "padded": false,
+      "adaptation": [],
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+        "AR-09 (light): text extends 75 px beyond the canvas edge → keep every text inside the canvas. Likely cause: a label position, a long tick label or a large font size.",
+        "VQ-02 (light): The 'Mean: 35 min' annotation text box sits on top of the histogram region near the bar tops and its arrow crosses into the bars; the mean line runs through the tallest bars → annotation placed in clear space above the bars with no overlap of text or arrow onto data. Likely cause: the ax.annotate xytext/xy placement (label_x, y_max*0.97) relative to the bars.",
+        "SC-03 (light): Bars show the mean line crossing the bin 30-36 region while the tallest bars reach near the top of the axis, leaving the annotation squeezed against the top → y-axis headroom so the mean label sits above the tallest bar without covering data. Likely cause: ax.set_ylim(bottom=0) without a top margin and annotation at y_max*0.97."
+      ],
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+    {
+      "case_id": "histogram-basic-matplotlib-renamed",
+      "repeat": 1,
+      "spec_id": "histogram-basic",
+      "library": "matplotlib",
+      "perturbation": "renamed",
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+      "residual_defects": [
+        "AR-09 (light): text extends 385 px beyond the canvas edge → keep every text inside the canvas. Likely cause: a label position, a long tick label or a large font size.",
+        "the plot was not reviewed (the review answer could not be read)"
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+        "G3": 1
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+      "png": "renders/histogram-basic-matplotlib-renamed-r1.png",
+      "error": null,
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+    {
+      "case_id": "histogram-basic-matplotlib-x10",
+      "repeat": 1,
+      "spec_id": "histogram-basic",
+      "library": "matplotlib",
+      "perturbation": "x10",
+      "expected": "accepted",
+      "tags": [
+        "histogram",
+        "x10",
+        "synthetic",
+        "scaled-values"
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+      "passed": true,
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+        "AR-09 (light): text extends 399 px beyond the canvas edge → keep every text inside the canvas. Likely cause: a label position, a long tick label or a large font size.",
+        "AR-09 (light): text extends 399 px beyond the canvas edge (gate note; the render shows the legend and tick labels close to the right edge) → all text fully inside the canvas (about 0 px clipped). Likely cause: the subplots_adjust right=0.97 margin leaves too little room for the legend text at the top-right corner; legend placed with the default loc.",
+        "VQ-03 (light): the mean and median dashed/dotted reference lines are drawn in INK_SOFT and red, and the median dotted line is hard to see against the dark-green bars → reference lines clearly visible over bars (thicker or outlined, higher contrast). Likely cause: axvline color/linestyle with zorder=5 over alpha-graded bars using INK_SOFT."
+      ],
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+        "G3": 2
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+      "case_id": "histogram-basic-seaborn-date",
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+      "spec_id": "histogram-basic",
+      "library": "seaborn",
+      "perturbation": "date",
+      "expected": "accepted",
+      "tags": [
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+        "date",
+        "synthetic",
+        "dd.mm.yyyy",
+        "iso-date",
+        "unbound-dates"
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+        "AR-09 (light): text extends 274 px beyond the canvas edge → keep every text inside the canvas. Likely cause: a label position, a long tick label or a large font size.",
+        "VQ-07 (light): Mean reference line is matte red #AE3030 and median line is ochre #BD8233, but the histogram bars use brand green; the reference-line colors are semantic-looking categorical hues used as decoration → reference lines in neutral ink or muted tones, keeping categorical palette positions in canonical order for data series. Likely cause: IMPRINT_PALETTE[4] and IMPRINT_PALETTE[3] used for the mean and median axvlines.",
+        "AR-09 (light): Gate note: text extends 274 px beyond the canvas edge; the footnote and legend sit near the right border → all text fully inside the canvas with margin. Likely cause: fig.subplots_adjust right=0.97 combined with the right-aligned footnote and legend anchored at upper right."
+      ],
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+        "G3": 2
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+      "spec_id": "histogram-basic",
+      "library": "seaborn",
+      "perturbation": "decimal-comma",
+      "expected": "accepted",
+      "tags": [
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+        "decimal-comma",
+        "synthetic",
+        "semicolon"
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+      "padded": false,
+      "adaptation": [],
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+        "AR-09 (light): text extends 35 px beyond the canvas edge → keep every text inside the canvas. Likely cause: a label position, a long tick label or a large font size.",
+        "AR-09 (light): x-axis tick label area and right side: text extends about 35 px beyond the canvas edge (the '120' tick label and the 'n = 400 deliveries' footnote region sit at the right border) → all text fully inside canvas (shift right margin inward by about 35 px, e.g. right=0.94). Likely cause: fig.subplots_adjust right=0.96 leaves too little margin for the rightmost tick label and the annotation."
+      ],
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+    {
+      "case_id": "histogram-basic-seaborn-n12",
+      "repeat": 1,
+      "spec_id": "histogram-basic",
+      "library": "seaborn",
+      "perturbation": "n12",
+      "expected": "accepted",
+      "tags": [
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+        "n12",
+        "synthetic",
+        "small"
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+      "accepted": false,
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+      "padded": false,
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+        "AR-09 (light): text extends 1056 px beyond the canvas edge → keep every text inside the canvas. Likely cause: a label position, a long tick label or a large font size.",
+        "the plot was not reviewed (the repair round left defects)"
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+      "gate_failures": {
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+      "png": "renders/histogram-basic-seaborn-n12-r1.png",
+      "error": null,
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+    {
+      "case_id": "histogram-basic-seaborn-n5000",
+      "repeat": 1,
+      "spec_id": "histogram-basic",
+      "library": "seaborn",
+      "perturbation": "n5000",
+      "expected": "accepted",
+      "tags": [
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+        "n5000",
+        "synthetic",
+        "large",
+        "smoke"
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+      "origin": "fixtures",
+      "status": "needs_attention",
+      "reason": null,
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+      "accepted": false,
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+      "padded": false,
+      "adaptation": [],
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+        "AR-09 (light): text extends 152 px beyond the canvas edge → keep every text inside the canvas. Likely cause: a label position, a long tick label or a large font size.",
+        "the plot was not reviewed (the repair round left defects)"
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+      "png": "renders/histogram-basic-seaborn-n5000-r1.png",
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+    {
+      "case_id": "histogram-basic-seaborn-renamed",
+      "repeat": 1,
+      "spec_id": "histogram-basic",
+      "library": "seaborn",
+      "perturbation": "renamed",
+      "expected": "accepted",
+      "tags": [
+        "histogram",
+        "renamed",
+        "synthetic",
+        "renamed-headers"
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+      "status": "needs_attention",
+      "reason": null,
+      "attempts": 2,
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+      "accepted": false,
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+        "AR-09 (light): text extends 432 px beyond the canvas edge → keep every text inside the canvas. Likely cause: a label position, a long tick label or a large font size.",
+        "the plot was not reviewed (the review answer could not be read)"
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+        "prompt": 67782,
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+      "turns": 1,
+      "png": "renders/histogram-basic-seaborn-renamed-r1.png",
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+    {
+      "case_id": "histogram-basic-seaborn-x10",
+      "repeat": 1,
+      "spec_id": "histogram-basic",
+      "library": "seaborn",
+      "perturbation": "x10",
+      "expected": "accepted",
+      "tags": [
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+        "x10",
+        "synthetic",
+        "scaled-values"
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+      "padded": false,
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+        "AR-09 (light): text extends 377 px beyond the canvas edge → keep every text inside the canvas. Likely cause: a label position, a long tick label or a large font size.",
+        "VQ-06 (light): Y-axis title 'Number of Orders' and x-axis title are shown but the plot title is a generic descriptor; the reference-line legend and text are fine, no clipping visible in the render itself → no change needed beyond the gate note; this finding is withdrawn. Likely cause: none."
+      ],
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+    {
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+      "spec_id": "line-basic",
+      "library": "matplotlib",
+      "perturbation": "date",
+      "expected": "accepted",
+      "tags": [
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+        "dd.mm.yyyy",
+        "iso-date",
+        "date-axis"
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+        "AR-09 (light): A '2026-Mar-14' annotation in the bottom-right corner (the date stamp) is clipped at the right canvas edge, and the gate reports text extending 58 px beyond the canvas → all text fully inside the canvas, about 58 px of additional right margin (or shift the stamp left). Likely cause: the date stamp text placement near the right edge combined with tight_layout not reserving space for it; the figure needs bbox_inches or an explicit right margin."
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+      "library": "matplotlib",
+      "perturbation": "decimal-comma",
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+        "AR-09 (light): the title and axis text extend past the canvas; gate reports 319 px beyond the right edge, though the render shows the title and labels inside the frame → all text fully inside the canvas with a margin. Likely cause: the title/label font size combined with tight_layout on a 16x9 figure; reduce title and label fontsize or set explicit margins."
+      ],
+      "gate_failures": {
+        "G3": 2
+      },
+      "validator_rejections": {},
+      "adapter_outcomes": {
+        "plan": 2
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+      "edit_apply_failures": 0,
+      "reviewer": {
+        "verdict": "defects",
+        "defects": [
+          "AR-09"
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+      "llm_calls": 5,
+      "llm_calls_by_agent": {
+        "adapter_seaborn": 2,
+        "anyplot": 2,
+        "reviewer": 1
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+      "tokens": {
+        "prompt": 65075,
+        "candidates": 3087,
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+      "turns": 1,
+      "png": "renders/line-basic-seaborn-x10-r1.png",
+      "error": null,
+      "pipeline_error": null
+    },
+    {
+      "case_id": "line-timeseries-matplotlib-date",
+      "repeat": 1,
+      "spec_id": "line-timeseries",
+      "library": "matplotlib",
+      "perturbation": "date",
+      "expected": "accepted",
+      "tags": [
+        "time-series",
+        "date",
+        "synthetic",
+        "dd.mm.yyyy",
+        "iso-date",
+        "date-axis"
+      ],
+      "origin": "fixtures",
+      "status": "ok",
+      "reason": null,
+      "attempts": 2,
+      "passed": true,
+      "accepted": true,
+      "accept_match": true,
+      "padded": false,
+      "adaptation": [],
+      "advisory": [
+        "G3"
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+      "residual_defects": [],
+      "gate_failures": {
+        "G3": 1
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+      "validator_rejections": {},
+      "adapter_outcomes": {
+        "plan": 1,
+        "schema": 1
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+      "edit_apply_failures": 0,
+      "reviewer": {
+        "verdict": "ok",
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+      "llm_calls": 5,
+      "llm_calls_by_agent": {
+        "adapter_matplotlib": 2,
+        "anyplot": 2,
+        "reviewer": 1
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+      "tokens": {
+        "prompt": 65833,
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+      "turns": 1,
+      "png": "renders/line-timeseries-matplotlib-date-r1.png",
+      "error": null,
+      "pipeline_error": null
+    },
+    {
+      "case_id": "line-timeseries-matplotlib-decimal-comma",
+      "repeat": 1,
+      "spec_id": "line-timeseries",
+      "library": "matplotlib",
+      "perturbation": "decimal-comma",
+      "expected": "accepted",
+      "tags": [
+        "time-series",
+        "decimal-comma",
+        "synthetic",
+        "semicolon",
+        "dd.mm.yyyy"
+      ],
+      "origin": "fixtures",
+      "status": "needs_attention",
+      "reason": null,
+      "attempts": 2,
+      "passed": true,
+      "accepted": false,
+      "accept_match": false,
+      "padded": false,
+      "adaptation": [],
+      "advisory": [
+        "G3"
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+      "residual_defects": [
+        "AR-09 (light): text extends 122 px beyond the canvas edge → keep every text inside the canvas. Likely cause: a label position, a long tick label or a large font size.",
+        "AR-09 (light): title and axis text extend past canvas edge; the title is centred over the axes but the rendered title sits right against the top and the right-hand end of the x-range runs to the border → all text fully inside the canvas with a few pixels of margin. Likely cause: tight_layout with a long fixed title and no bbox_inches='tight' or margin control in savefig.",
+        "VQ-01 (light): tick labels at about 14pt on a 3200px canvas read small relative to the 22pt title and 18pt axis labels → tick labels about 18-20pt (about +5 pt). Likely cause: ax.tick_params labelsize=14."
+      ],
+      "gate_failures": {
+        "G3": 2
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+      "validator_rejections": {},
+      "adapter_outcomes": {
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+      "edit_apply_failures": 0,
+      "reviewer": {
+        "verdict": "defects",
+        "defects": [
+          "AR-09",
+          "VQ-01"
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+      "llm_calls_by_agent": {
+        "adapter_matplotlib": 2,
+        "anyplot": 2,
+        "reviewer": 1
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+      "tokens": {
+        "prompt": 65690,
+        "candidates": 2682,
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+      "png": "renders/line-timeseries-matplotlib-decimal-comma-r1.png",
+      "error": null,
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+    },
+    {
+      "case_id": "line-timeseries-matplotlib-n12",
+      "repeat": 1,
+      "spec_id": "line-timeseries",
+      "library": "matplotlib",
+      "perturbation": "n12",
+      "expected": "accepted",
+      "tags": [
+        "time-series",
+        "n12",
+        "synthetic",
+        "small"
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+      "origin": "fixtures",
+      "status": "needs_attention",
+      "reason": null,
+      "attempts": 2,
+      "passed": true,
+      "accepted": false,
+      "accept_match": false,
+      "padded": false,
+      "adaptation": [],
+      "advisory": [
+        "G3"
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+      "residual_defects": [
+        "AR-09 (light): text extends 56 px beyond the canvas edge → keep every text inside the canvas. Likely cause: a label position, a long tick label or a large font size.",
+        "AR-09 (light): the right-aligned ConciseDateFormatter offset label '2025-Jan' sits at the bottom right and the final data point / right edge is clipped against the canvas border → all text fully inside the canvas with at least a few px margin; the offset label fully visible. Likely cause: set_xlim to dates.max() with ConciseDateFormatter offset text, and subplots_adjust right=0.96 leaving the offset label and line end at the border.",
+        "VQ-02 (light): the '2025-Jan' offset annotation sits directly beside the 'Date' x-axis title, crowding it → offset annotation clear of the x-axis title with a visible gap. Likely cause: ConciseDateFormatter offset text placed at the axis corner without spacing from the xlabel."
+      ],
+      "gate_failures": {
+        "G3": 2
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+      "validator_rejections": {},
+      "adapter_outcomes": {
+        "plan": 2
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+      "edit_apply_failures": 0,
+      "reviewer": {
+        "verdict": "defects",
+        "defects": [
+          "AR-09",
+          "VQ-02"
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+      "llm_calls": 5,
+      "llm_calls_by_agent": {
+        "adapter_matplotlib": 2,
+        "anyplot": 2,
+        "reviewer": 1
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+      "tokens": {
+        "prompt": 65895,
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+      "png": "renders/line-timeseries-matplotlib-n12-r1.png",
+      "error": null,
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+    {
+      "case_id": "line-timeseries-matplotlib-n5000",
+      "repeat": 1,
+      "spec_id": "line-timeseries",
+      "library": "matplotlib",
+      "perturbation": "n5000",
+      "expected": "accepted",
+      "tags": [
+        "time-series",
+        "n5000",
+        "synthetic",
+        "large"
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+      "origin": "fixtures",
+      "status": "needs_attention",
+      "reason": null,
+      "attempts": 2,
+      "passed": true,
+      "accepted": false,
+      "accept_match": false,
+      "padded": false,
+      "adaptation": [],
+      "advisory": [
+        "G3"
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+      "residual_defects": [
+        "AR-09 (light): text extends 91 px beyond the canvas edge → keep every text inside the canvas. Likely cause: a label position, a long tick label or a large font size.",
+        "AR-09 (light): title and right-side content extend past the canvas edge; the title is cut close to the right border and the gate reports 91 px overflow → all text fully inside the canvas (about 91 px less extent, or a shorter title / smaller fontsize). Likely cause: the title fontsize=22 and the long title string set in ax.set_title; tight_layout does not account for it."
+      ],
+      "gate_failures": {
+        "G3": 2
+      },
+      "validator_rejections": {},
+      "adapter_outcomes": {
+        "plan": 2
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+      "edit_apply_failures": 0,
+      "reviewer": {
+        "verdict": "defects",
+        "defects": [
+          "AR-09"
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+      "llm_calls": 5,
+      "llm_calls_by_agent": {
+        "adapter_matplotlib": 2,
+        "anyplot": 2,
+        "reviewer": 1
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+      "tokens": {
+        "prompt": 65876,
+        "candidates": 2905,
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+      "turns": 1,
+      "png": "renders/line-timeseries-matplotlib-n5000-r1.png",
+      "error": null,
+      "pipeline_error": null
+    },
+    {
+      "case_id": "line-timeseries-matplotlib-renamed",
+      "repeat": 1,
+      "spec_id": "line-timeseries",
+      "library": "matplotlib",
+      "perturbation": "renamed",
+      "expected": "accepted",
+      "tags": [
+        "time-series",
+        "renamed",
+        "synthetic",
+        "renamed-headers",
+        "non-ascii-headers"
+      ],
+      "origin": "fixtures",
+      "status": "needs_attention",
+      "reason": null,
+      "attempts": 2,
+      "passed": true,
+      "accepted": false,
+      "accept_match": false,
+      "padded": false,
+      "adaptation": [],
+      "advisory": [
+        "G3"
+      ],
+      "residual_defects": [
+        "AR-09 (light): text extends 122 px beyond the canvas edge → keep every text inside the canvas. Likely cause: a label position, a long tick label or a large font size.",
+        "AR-09 (light): text extends 122 px beyond the canvas edge (gate note); the render shows the right-side data and last tick region reaching the border → all text inside the canvas, about 0 px clipped (-122 px overflow). Likely cause: the title/label placement and tight_layout with the 16x9 figsize; long axis label or tick label extends past the right edge.",
+        "VQ-06 (light): x-axis title reads 'Messdatum' (raw column name) and y-axis title is the German column name, not a descriptive label of the user's data → readable axis titles naming the measured quantity and time, e.g. 'Date' and 'PM2.5 (µg/m³)'. Likely cause: ax.set_xlabel and ax.set_ylabel using the raw column names."
+      ],
+      "gate_failures": {
+        "G3": 2
+      },
+      "validator_rejections": {},
+      "adapter_outcomes": {
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+      "edit_apply_failures": 0,
+      "reviewer": {
+        "verdict": "defects",
+        "defects": [
+          "AR-09",
+          "VQ-06"
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+      "llm_calls": 5,
+      "llm_calls_by_agent": {
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+        "reviewer": 1
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+      "tokens": {
+        "prompt": 65982,
+        "candidates": 3150,
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+      "turns": 1,
+      "png": "renders/line-timeseries-matplotlib-renamed-r1.png",
+      "error": null,
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+    },
+    {
+      "case_id": "line-timeseries-matplotlib-x10",
+      "repeat": 1,
+      "spec_id": "line-timeseries",
+      "library": "matplotlib",
+      "perturbation": "x10",
+      "expected": "accepted",
+      "tags": [
+        "time-series",
+        "x10",
+        "synthetic",
+        "scaled-values"
+      ],
+      "origin": "fixtures",
+      "status": "needs_attention",
+      "reason": null,
+      "attempts": 2,
+      "passed": true,
+      "accepted": false,
+      "accept_match": false,
+      "padded": false,
+      "adaptation": [],
+      "advisory": [
+        "G3"
+      ],
+      "residual_defects": [
+        "AR-09 (light): text extends 120 px beyond the canvas edge → keep every text inside the canvas. Likely cause: a label position, a long tick label or a large font size.",
+        "AR-09 (light): x-axis tick label and axis content extend beyond the canvas edge (gate reports 120 px overflow); right-edge data and the rightmost text are clipped → all text fully inside the canvas, with a margin of at least 20 px on the right. Likely cause: tight_layout with a fixed figsize and xlim set to the last date; the right-most label and the line end sit at the canvas border.",
+        "VQ-02 (light): the title and y-axis label are tightly packed against the canvas top/left edges → at least 20 px of clear space between title/axis label and the canvas border. Likely cause: tight_layout without padding; the title fontsize 24 on a 16x9 figure."
+      ],
+      "gate_failures": {
+        "G3": 2
+      },
+      "validator_rejections": {},
+      "adapter_outcomes": {
+        "plan": 2
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+      "edit_apply_failures": 0,
+      "reviewer": {
+        "verdict": "defects",
+        "defects": [
+          "AR-09",
+          "VQ-02"
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+      "llm_calls": 5,
+      "llm_calls_by_agent": {
+        "adapter_matplotlib": 2,
+        "anyplot": 2,
+        "reviewer": 1
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+      "tokens": {
+        "prompt": 65750,
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+      "png": "renders/line-timeseries-matplotlib-x10-r1.png",
+      "error": null,
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+    },
+    {
+      "case_id": "line-timeseries-seaborn-date",
+      "repeat": 1,
+      "spec_id": "line-timeseries",
+      "library": "seaborn",
+      "perturbation": "date",
+      "expected": "accepted",
+      "tags": [
+        "time-series",
+        "date",
+        "synthetic",
+        "dd.mm.yyyy",
+        "iso-date",
+        "date-axis"
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+      "origin": "fixtures",
+      "status": "needs_attention",
+      "reason": null,
+      "attempts": 2,
+      "passed": true,
+      "accepted": false,
+      "accept_match": false,
+      "padded": false,
+      "adaptation": [],
+      "advisory": [
+        "G3"
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+      "residual_defects": [
+        "AR-09 (light): text extends 114 px beyond the canvas edge → keep every text inside the canvas. Likely cause: a label position, a long tick label or a large font size.",
+        "AR-09 (light): Right-most tick label '2026' and the canvas edge: text reaches beyond the canvas border (about 114 px past the edge per gate note), and the Date axis/tick area sits close to the right border → all text fully inside the canvas, at least a small margin from the right edge. Likely cause: tick label at the last major tick near the right limit of the x-axis; the ConciseDateFormatter/AutoDateLocator places '2026' at the axis end and tight_layout does not reserve room for it."
+      ],
+      "gate_failures": {
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+        "defects": [
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+      "png": "renders/line-timeseries-seaborn-date-r1.png",
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+    {
+      "case_id": "line-timeseries-seaborn-decimal-comma",
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+      "spec_id": "line-timeseries",
+      "library": "seaborn",
+      "perturbation": "decimal-comma",
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+        "time-series",
+        "decimal-comma",
+        "synthetic",
+        "semicolon",
+        "dd.mm.yyyy"
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+      "origin": "fixtures",
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+      "passed": true,
+      "accepted": true,
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+      "adaptation": [],
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+      "gate_failures": {
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+      "reviewer": {
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+      "llm_calls_by_agent": {
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+        "anyplot": 2,
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+      "tokens": {
+        "prompt": 65341,
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+      "png": "renders/line-timeseries-seaborn-decimal-comma-r1.png",
+      "error": null,
+      "pipeline_error": null
+    },
+    {
+      "case_id": "line-timeseries-seaborn-n12",
+      "repeat": 1,
+      "spec_id": "line-timeseries",
+      "library": "seaborn",
+      "perturbation": "n12",
+      "expected": "accepted",
+      "tags": [
+        "time-series",
+        "n12",
+        "synthetic",
+        "small"
+      ],
+      "origin": "fixtures",
+      "status": "needs_attention",
+      "reason": null,
+      "attempts": 2,
+      "passed": true,
+      "accepted": false,
+      "accept_match": false,
+      "padded": false,
+      "adaptation": [],
+      "advisory": [
+        "G3"
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+      "residual_defects": [
+        "AR-09 (light): text extends 148 px beyond the canvas edge → keep every text inside the canvas. Likely cause: a label position, a long tick label or a large font size.",
+        "the plot was not reviewed (the review answer could not be read)"
+      ],
+      "gate_failures": {
+        "G3": 1
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+        "banned-call": 1,
+        "banned-import": 1
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+      "reviewer": {
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+      "llm_calls_by_agent": {
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+        "anyplot": 2,
+        "reviewer": 1
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+      "png": "renders/line-timeseries-seaborn-n12-r1.png",
+      "error": null,
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+    },
+    {
+      "case_id": "line-timeseries-seaborn-n5000",
+      "repeat": 1,
+      "spec_id": "line-timeseries",
+      "library": "seaborn",
+      "perturbation": "n5000",
+      "expected": "accepted",
+      "tags": [
+        "time-series",
+        "n5000",
+        "synthetic",
+        "large",
+        "smoke"
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+      "status": "needs_attention",
+      "reason": null,
+      "attempts": 2,
+      "passed": true,
+      "accepted": false,
+      "accept_match": false,
+      "padded": false,
+      "adaptation": [],
+      "advisory": [
+        "G3"
+      ],
+      "residual_defects": [
+        "AR-09 (light): text extends 83 px beyond the canvas edge → keep every text inside the canvas. Likely cause: a label position, a long tick label or a large font size.",
+        "AR-09 (light): x-axis tick label 'Aug' sits at the right canvas edge and the ConciseDateFormatter labels extend beyond the canvas (gate reports 83 px clipping) → all tick labels fully inside the canvas (about 0 px clipped, keep right margin of at least 90 px). Likely cause: the ConciseDateFormatter last tick near the data end combined with tight_layout; add right margin or set xlim with padding."
+      ],
+      "gate_failures": {
+        "G3": 2
+      },
+      "validator_rejections": {},
+      "adapter_outcomes": {
+        "plan": 2
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+      "edit_apply_failures": 0,
+      "reviewer": {
+        "verdict": "defects",
+        "defects": [
+          "AR-09"
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+      "llm_calls_by_agent": {
+        "adapter_seaborn": 2,
+        "anyplot": 2,
+        "reviewer": 1
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+      "tokens": {
+        "prompt": 65782,
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+      "turns": 1,
+      "png": "renders/line-timeseries-seaborn-n5000-r1.png",
+      "error": null,
+      "pipeline_error": null
+    },
+    {
+      "case_id": "line-timeseries-seaborn-renamed",
+      "repeat": 1,
+      "spec_id": "line-timeseries",
+      "library": "seaborn",
+      "perturbation": "renamed",
+      "expected": "accepted",
+      "tags": [
+        "time-series",
+        "renamed",
+        "synthetic",
+        "renamed-headers",
+        "non-ascii-headers"
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+      "origin": "fixtures",
+      "status": "needs_attention",
+      "reason": null,
+      "attempts": 2,
+      "passed": true,
+      "accepted": false,
+      "accept_match": false,
+      "padded": false,
+      "adaptation": [],
+      "advisory": [
+        "G3"
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+      "residual_defects": [
+        "AR-09 (light): text extends 113 px beyond the canvas edge → keep every text inside the canvas. Likely cause: a label position, a long tick label or a large font size.",
+        "AR-09 (light): rotated tick label '2026' and x-axis extent runs past the right canvas edge area; text extends about 113 px beyond the canvas → all tick and axis text fully inside the canvas (shift or shrink to clear the edge). Likely cause: rotate=45 with ha='right' on the x tick labels combined with tight_layout, pushing the last tick label past the canvas border."
+      ],
+      "gate_failures": {
+        "G3": 2
+      },
+      "validator_rejections": {},
+      "adapter_outcomes": {
+        "plan": 2
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+      "edit_apply_failures": 0,
+      "reviewer": {
+        "verdict": "defects",
+        "defects": [
+          "AR-09"
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+      "llm_calls": 5,
+      "llm_calls_by_agent": {
+        "adapter_seaborn": 2,
+        "anyplot": 2,
+        "reviewer": 1
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+      "tokens": {
+        "prompt": 65794,
+        "candidates": 2811,
+        "thoughts": 0,
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+        "cache_write": 12361,
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+      "turns": 1,
+      "png": "renders/line-timeseries-seaborn-renamed-r1.png",
+      "error": null,
+      "pipeline_error": null
+    },
+    {
+      "case_id": "line-timeseries-seaborn-x10",
+      "repeat": 1,
+      "spec_id": "line-timeseries",
+      "library": "seaborn",
+      "perturbation": "x10",
+      "expected": "accepted",
+      "tags": [
+        "time-series",
+        "x10",
+        "synthetic",
+        "scaled-values"
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+      "origin": "fixtures",
+      "status": "needs_attention",
+      "reason": null,
+      "attempts": 2,
+      "passed": true,
+      "accepted": false,
+      "accept_match": false,
+      "padded": false,
+      "adaptation": [],
+      "advisory": [
+        "G3"
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+      "residual_defects": [
+        "AR-09 (light): text extends 114 px beyond the canvas edge → keep every text inside the canvas. Likely cause: a label position, a long tick label or a large font size.",
+        "AR-09 (light): the title and the x-axis tick label '2026' extend about 114 px past the canvas edge, the right-most tick label is clipped → all text fully inside the canvas (shift the last tick label or reduce margins by about 114 px). Likely cause: ax.margins(x=0.02) plus ConciseDateFormatter placing the end-of-range tick at the right border; the tight_layout call does not reserve space for it.",
+        "VQ-06 (light): title 'Daily PM2.5 Concentration in 2025' names 2025 but the data runs into 2026 tick and the x-axis tick set ends at 2026 → title and axis range consistent with the user's data span. Likely cause: hard-coded title string 'in 2025' from the example data."
+      ],
+      "gate_failures": {
+        "G3": 2
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+      "validator_rejections": {},
+      "adapter_outcomes": {
+        "plan": 2
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+      "edit_apply_failures": 0,
+      "reviewer": {
+        "verdict": "defects",
+        "defects": [
+          "AR-09",
+          "VQ-06"
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+      "llm_calls": 5,
+      "llm_calls_by_agent": {
+        "adapter_seaborn": 2,
+        "anyplot": 2,
+        "reviewer": 1
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+      "tokens": {
+        "prompt": 65764,
+        "candidates": 2316,
+        "thoughts": 0,
+        "cached": 52998,
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+      "turns": 1,
+      "png": "renders/line-timeseries-seaborn-x10-r1.png",
+      "error": null,
+      "pipeline_error": null
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+    {
+      "case_id": "pie-basic-matplotlib-date",
+      "repeat": 1,
+      "spec_id": "pie-basic",
+      "library": "matplotlib",
+      "perturbation": "date",
+      "expected": "accepted",
+      "tags": [
+        "pie",
+        "date",
+        "synthetic",
+        "dd.mm.yyyy",
+        "iso-date",
+        "unbound-dates"
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+      "origin": "fixtures",
+      "status": "needs_attention",
+      "reason": null,
+      "attempts": 2,
+      "passed": false,
+      "accepted": false,
+      "accept_match": false,
+      "padded": false,
+      "adaptation": [
+        "palette-prefix"
+      ],
+      "advisory": [],
+      "residual_defects": [
+        "VQ-07 (code): IMPRINT_PALETTE must be a list of colour string literals at line 31 → derive it from df and the Imprint palette. Likely cause: the adaptation (palette-prefix).",
+        "VQ-02 (light): The 'Food' category label at the bottom collides with the legend frame top edge, partially overlapped → Label fully clear of the legend box (move legend lower or shrink pie radius, about 10-15 px clearance). Likely cause: legend bbox_to_anchor=(0.5, -0.08) placed too high relative to the pie labeldistance=1.15.",
+        "VQ-01 (light): Slice percentage labels (about 9pt bold white) and category labels (default ~10pt) are small relative to the 3200-px canvas; legend text at 8pt is small → Increase tick/label text to about 12-13pt and legend to about 10-11pt for full-size legibility. Likely cause: textprops fontsize=10, autotext fontsize=9, legend fontsize=8 set below style-guide sizing.",
+        "DQ-03 (light): Title is hard-coded to 'Expense Breakdown by Category (CHF)' and the Housing slice is exploded by default regardless of data; the explode index assumes the largest slice is first → Title and emphasis derived from the user's own data (largest category exploded is acceptable since it is sorted descending). Likely cause: hard-coded title string and explode=[0.08]+[0]*(n-1) logic."
+      ],
+      "gate_failures": {},
+      "validator_rejections": {},
+      "adapter_outcomes": {
+        "plan": 2
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+      "edit_apply_failures": 0,
+      "reviewer": {
+        "verdict": "defects",
+        "defects": [
+          "VQ-02",
+          "VQ-01",
+          "DQ-03"
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+      "llm_calls": 5,
+      "llm_calls_by_agent": {
+        "adapter_matplotlib": 2,
+        "anyplot": 2,
+        "reviewer": 1
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+      "tokens": {
+        "prompt": 66719,
+        "candidates": 3480,
+        "thoughts": 0,
+        "cached": 53496,
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+      "turns": 1,
+      "png": "renders/pie-basic-matplotlib-date-r1.png",
+      "error": null,
+      "pipeline_error": null
+    },
+    {
+      "case_id": "pie-basic-matplotlib-decimal-comma",
+      "repeat": 1,
+      "spec_id": "pie-basic",
+      "library": "matplotlib",
+      "perturbation": "decimal-comma",
+      "expected": "accepted",
+      "tags": [
+        "pie",
+        "decimal-comma",
+        "synthetic",
+        "semicolon"
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+      "origin": "fixtures",
+      "status": "needs_attention",
+      "reason": null,
+      "attempts": 2,
+      "passed": false,
+      "accepted": false,
+      "accept_match": false,
+      "padded": false,
+      "adaptation": [
+        "palette-prefix"
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+      "advisory": [],
+      "residual_defects": [
+        "VQ-07 (code): IMPRINT_PALETTE may only be extended with the next Imprint positions (#2ABCCD, #954477, #99B314) at line 15 → derive it from df and the Imprint palette. Likely cause: the adaptation (palette-prefix).",
+        "VQ-02 (light): The 'Food' category label at the bottom overlaps the legend frame's top edge, and the legend sits tight against the pie's lower slices → Clear gap of at least 10 px between the 'Food' label and the legend box, with no collision. Likely cause: legend bbox_to_anchor=(0.5, -0.08) placed too high relative to the pie labeldistance=1.15.",
+        "VQ-01 (light): Percentage labels (about 9pt bold white) and category labels (10pt) are small relative to the 3200px canvas; legend text at 8pt is small → Labels about 12-14pt, legend about 10-11pt for readability at full size. Likely cause: fontsize=10 in textprops, autotext set_fontsize(9), legend fontsize=8.",
+        "AR-09 (light): 'Transport' and 'Savings' outside labels sit close to the right canvas border, nearly clipped → At least 20 px margin from the right edge for all labels. Likely cause: tight_layout without enough right padding for outside labels at labeldistance=1.15."
+      ],
+      "gate_failures": {},
+      "validator_rejections": {},
+      "adapter_outcomes": {
+        "plan": 2
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+      "edit_apply_failures": 0,
+      "reviewer": {
+        "verdict": "defects",
+        "defects": [
+          "VQ-02",
+          "VQ-01",
+          "AR-09"
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+      "llm_calls": 5,
+      "llm_calls_by_agent": {
+        "adapter_matplotlib": 2,
+        "anyplot": 2,
+        "reviewer": 1
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+      "tokens": {
+        "prompt": 66488,
+        "candidates": 3299,
+        "thoughts": 0,
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+        "judge_input": 1066,
+        "judge_output": 59
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+      "turns": 1,
+      "png": "renders/pie-basic-matplotlib-decimal-comma-r1.png",
+      "error": null,
+      "pipeline_error": null
+    },
+    {
+      "case_id": "pie-basic-matplotlib-n12",
+      "repeat": 1,
+      "spec_id": "pie-basic",
+      "library": "matplotlib",
+      "perturbation": "n12",
+      "expected": "accepted",
+      "tags": [
+        "pie",
+        "n12",
+        "synthetic",
+        "small",
+        "smoke"
+      ],
+      "origin": "fixtures",
+      "status": "needs_attention",
+      "reason": null,
+      "attempts": 2,
+      "passed": false,
+      "accepted": false,
+      "accept_match": false,
+      "padded": false,
+      "adaptation": [
+        "palette-prefix"
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+      "advisory": [],
+      "residual_defects": [
+        "VQ-07 (code): IMPRINT may only be extended with the next Imprint positions (#2ABCCD, #954477, #99B314) at line 15 → derive it from df and the Imprint palette. Likely cause: the adaptation (palette-prefix).",
+        "the plot was not reviewed (the review answer could not be read)"
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+      "validator_rejections": {},
+      "adapter_outcomes": {
+        "plan": 2
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+      "edit_apply_failures": 0,
+      "reviewer": {
+        "verdict": "unreadable",
+        "defects": []
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+      "llm_calls": 5,
+      "llm_calls_by_agent": {
+        "adapter_matplotlib": 2,
+        "anyplot": 2,
+        "reviewer": 1
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+      "tokens": {
+        "prompt": 65874,
+        "candidates": 3423,
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+      "turns": 1,
+      "png": "renders/pie-basic-matplotlib-n12-r1.png",
+      "error": null,
+      "pipeline_error": null
+    },
+    {
+      "case_id": "pie-basic-matplotlib-n5000",
+      "repeat": 1,
+      "spec_id": "pie-basic",
+      "library": "matplotlib",
+      "perturbation": "n5000",
+      "expected": "accepted",
+      "tags": [
+        "pie",
+        "n5000",
+        "synthetic",
+        "large",
+        "aggregation"
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+      "origin": "fixtures",
+      "status": "needs_attention",
+      "reason": null,
+      "attempts": 2,
+      "passed": true,
+      "accepted": false,
+      "accept_match": false,
+      "padded": false,
+      "adaptation": [],
+      "advisory": [],
+      "residual_defects": [
+        "VQ-02 (light): The 'Food' category label at the bottom of the pie overlaps the legend frame and is partly hidden behind it → Food label clear of the legend box with a gap of at least one text height. Likely cause: legend bbox_to_anchor=(0.5, -0.08) placed too high relative to labeldistance=1.15 pie labels; move legend lower or reduce labeldistance.",
+        "VQ-01 (light): Legend entry text and tick-like labels in INK_SOFT are small (fontsize 8) relative to the 3200px canvas → legend text about 10-11pt. Likely cause: legend fontsize=8 and category textprops fontsize=10 are below the style-guide sizing defaults."
+      ],
+      "gate_failures": {
+        "R1": 1
+      },
+      "validator_rejections": {},
+      "adapter_outcomes": {
+        "plan": 2
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+      "edit_apply_failures": 0,
+      "reviewer": {
+        "verdict": "defects",
+        "defects": [
+          "VQ-02",
+          "VQ-01"
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+      },
+      "llm_calls": 5,
+      "llm_calls_by_agent": {
+        "adapter_matplotlib": 2,
+        "anyplot": 2,
+        "reviewer": 1
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+      "tokens": {
+        "prompt": 65731,
+        "candidates": 2986,
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+      "turns": 1,
+      "png": "renders/pie-basic-matplotlib-n5000-r1.png",
+      "error": null,
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+    {
+      "case_id": "pie-basic-matplotlib-renamed",
+      "repeat": 1,
+      "spec_id": "pie-basic",
+      "library": "matplotlib",
+      "perturbation": "renamed",
+      "expected": "accepted",
+      "tags": [
+        "pie",
+        "renamed",
+        "synthetic",
+        "renamed-headers"
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+      "origin": "fixtures",
+      "status": "needs_attention",
+      "reason": null,
+      "attempts": 2,
+      "passed": true,
+      "accepted": false,
+      "accept_match": false,
+      "padded": false,
+      "adaptation": [],
+      "advisory": [],
+      "residual_defects": [
+        "AR-09 (light): The 'Food' category label at the bottom of the pie is clipped/overlaps the legend frame, and the 'Transport' and 'Housing' labels sit close to the canvas edge → All category labels fully inside the canvas with clear space above the legend (about 20 px gap). Likely cause: labeldistance=1.15 combined with bbox_to_anchor=(0.5,-0.08) legend placement and tight_layout not reserving room.",
+        "VQ-02 (light): Bottom 'Food' label collides with the top border of the legend box → No text collision; legend moved lower or pie shrunk so labels clear the legend. Likely cause: legend bbox_to_anchor y=-0.08 positioned too high relative to the pie's outer labels."
+      ],
+      "gate_failures": {
+        "R1": 1
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+      "validator_rejections": {},
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+        "plan": 2
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+      "edit_apply_failures": 0,
+      "reviewer": {
+        "verdict": "defects",
+        "defects": [
+          "AR-09",
+          "VQ-02"
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+      "llm_calls": 5,
+      "llm_calls_by_agent": {
+        "adapter_matplotlib": 2,
+        "anyplot": 2,
+        "reviewer": 1
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+      "tokens": {
+        "prompt": 66382,
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+      "turns": 1,
+      "png": "renders/pie-basic-matplotlib-renamed-r1.png",
+      "error": null,
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+    },
+    {
+      "case_id": "pie-basic-matplotlib-x10",
+      "repeat": 1,
+      "spec_id": "pie-basic",
+      "library": "matplotlib",
+      "perturbation": "x10",
+      "expected": "accepted",
+      "tags": [
+        "pie",
+        "x10",
+        "synthetic",
+        "scaled-values"
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+      "origin": "fixtures",
+      "status": "needs_attention",
+      "reason": null,
+      "attempts": 2,
+      "passed": false,
+      "accepted": false,
+      "accept_match": false,
+      "padded": false,
+      "adaptation": [
+        "palette-prefix"
+      ],
+      "advisory": [],
+      "residual_defects": [
+        "VQ-07 (code): 'IMPRINT_PALETTE.append' would change the palette at line 32 → derive it from df and the Imprint palette. Likely cause: the adaptation (palette-prefix).",
+        "the plot was not reviewed (the repair round left defects)"
+      ],
+      "gate_failures": {},
+      "validator_rejections": {},
+      "adapter_outcomes": {
+        "plan": 1,
+        "schema": 1
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+      "edit_apply_failures": 0,
+      "reviewer": {
+        "verdict": null,
+        "defects": []
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+      "llm_calls_by_agent": {
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+      "png": "renders/pie-basic-matplotlib-x10-r1.png",
+      "error": null,
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+    },
+    {
+      "case_id": "pie-basic-seaborn-date",
+      "repeat": 1,
+      "spec_id": "pie-basic",
+      "library": "seaborn",
+      "perturbation": "date",
+      "expected": "accepted",
+      "tags": [
+        "pie",
+        "date",
+        "synthetic",
+        "dd.mm.yyyy",
+        "iso-date",
+        "unbound-dates"
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+      "origin": "fixtures",
+      "status": "needs_attention",
+      "reason": null,
+      "attempts": 2,
+      "passed": true,
+      "accepted": false,
+      "accept_match": false,
+      "padded": false,
+      "adaptation": [],
+      "advisory": [],
+      "residual_defects": [
+        "VQ-01 (light): percentage labels on slices about 10pt-equivalent and dark INK text sits on dark-ish slices (green, blue, red) with low contrast → percent labels noticeably larger (about 14pt) and in a contrasting color on dark slices (+4pt). Likely cause: autotext set_fontsize(10) and set_color(INK) in the autotexts loop.",
+        "VQ-06 (light): title 'Expense share by category (CHF)' is generic and does not name the data source/time scope → title naming the user's expense data, e.g. 'Monthly expenses by category (CHF)'. Likely cause: hard-coded title string in ax.set_title."
+      ],
+      "gate_failures": {},
+      "validator_rejections": {},
+      "adapter_outcomes": {
+        "plan": 2
+      },
+      "edit_apply_failures": 0,
+      "reviewer": {
+        "verdict": "defects",
+        "defects": [
+          "VQ-01",
+          "VQ-06"
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+      "llm_calls": 5,
+      "llm_calls_by_agent": {
+        "adapter_seaborn": 2,
+        "anyplot": 2,
+        "reviewer": 1
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+      "tokens": {
+        "prompt": 66072,
+        "candidates": 2466,
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+        "cached": 52998,
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+      "turns": 1,
+      "png": "renders/pie-basic-seaborn-date-r1.png",
+      "error": null,
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+    },
+    {
+      "case_id": "pie-basic-seaborn-decimal-comma",
+      "repeat": 1,
+      "spec_id": "pie-basic",
+      "library": "seaborn",
+      "perturbation": "decimal-comma",
+      "expected": "accepted",
+      "tags": [
+        "pie",
+        "decimal-comma",
+        "synthetic",
+        "semicolon"
+      ],
+      "origin": "fixtures",
+      "status": "needs_attention",
+      "reason": null,
+      "attempts": 2,
+      "passed": true,
+      "accepted": false,
+      "accept_match": false,
+      "padded": false,
+      "adaptation": [],
+      "advisory": [],
+      "residual_defects": [
+        "DQ-03 (light): Center annotation reads 'Monthly Total CHF' and the title is fixed text from the example; center label is a stale claim about a total that the user's data does not state as a monthly total → Center label derived from the user's data (or removed) rather than a hard-coded 'Monthly Total' claim. Likely cause: the hard-coded ax.text center annotation string.",
+        "VQ-01 (light): Percentage labels (autopct) at about 8 px rendered size on the 3200-px canvas, small relative to the slices → about 12 px (+4 px) larger autopct text. Likely cause: autotext.set_fontsize(8) in the autotexts loop."
+      ],
+      "gate_failures": {},
+      "validator_rejections": {},
+      "adapter_outcomes": {
+        "plan": 2
+      },
+      "edit_apply_failures": 1,
+      "reviewer": {
+        "verdict": "defects",
+        "defects": [
+          "DQ-03",
+          "VQ-01"
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+      "llm_calls": 5,
+      "llm_calls_by_agent": {
+        "adapter_seaborn": 2,
+        "anyplot": 2,
+        "reviewer": 1
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+      "tokens": {
+        "prompt": 65587,
+        "candidates": 1860,
+        "thoughts": 0,
+        "cached": 52998,
+        "cache_write": 12521,
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+      "png": "renders/pie-basic-seaborn-decimal-comma-r1.png",
+      "error": null,
+      "pipeline_error": null
+    },
+    {
+      "case_id": "pie-basic-seaborn-n12",
+      "repeat": 1,
+      "spec_id": "pie-basic",
+      "library": "seaborn",
+      "perturbation": "n12",
+      "expected": "accepted",
+      "tags": [
+        "pie",
+        "n12",
+        "synthetic",
+        "small"
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+      "origin": "fixtures",
+      "status": "needs_attention",
+      "reason": null,
+      "attempts": 2,
+      "passed": false,
+      "accepted": false,
+      "accept_match": false,
+      "padded": false,
+      "adaptation": [
+        "palette-prefix"
+      ],
+      "advisory": [],
+      "residual_defects": [
+        "VQ-07 (code): IMPRINT may only be extended with the next Imprint positions (#009E73, #C475FD, #4467A3) at line 16 → derive it from df and the Imprint palette. Likely cause: the adaptation (palette-prefix).",
+        "VQ-02 (light): Small slice percentage labels (1%, 2%, 2%, 3%) collide with each other near the top of the donut → no overlapping labels; labels for slices under about 3% are separated or moved outside the ring. Likely cause: autopct labels placed at pctdistance=0.78 inside narrow wedges with a fixed fontsize of 8.",
+        "VQ-03 (light): Five trailing categories (Health, Utilities, Clothing, Education, Other, Gifts) use the same near-identical gray INK_MUTED, so their slices and legend glyphs are hard to tell apart → distinct colors per category, as the spec requires. Likely cause: base_colors fills positions 7+ with the single INK_MUTED value instead of distinct colors."
+      ],
+      "gate_failures": {},
+      "validator_rejections": {},
+      "adapter_outcomes": {
+        "plan": 2
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+      "edit_apply_failures": 0,
+      "reviewer": {
+        "verdict": "defects",
+        "defects": [
+          "VQ-02",
+          "VQ-03"
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+      "llm_calls": 5,
+      "llm_calls_by_agent": {
+        "adapter_seaborn": 2,
+        "anyplot": 2,
+        "reviewer": 1
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+      "tokens": {
+        "prompt": 66001,
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+      "turns": 1,
+      "png": "renders/pie-basic-seaborn-n12-r1.png",
+      "error": null,
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+    },
+    {
+      "case_id": "pie-basic-seaborn-n5000",
+      "repeat": 1,
+      "spec_id": "pie-basic",
+      "library": "seaborn",
+      "perturbation": "n5000",
+      "expected": "accepted",
+      "tags": [
+        "pie",
+        "n5000",
+        "synthetic",
+        "large",
+        "aggregation"
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+      "origin": "fixtures",
+      "status": "needs_attention",
+      "reason": null,
+      "attempts": 1,
+      "passed": true,
+      "accepted": false,
+      "accept_match": false,
+      "padded": false,
+      "adaptation": [],
+      "advisory": [],
+      "residual_defects": [
+        "the plot was not reviewed (the review answer could not be read)"
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+      "validator_rejections": {},
+      "adapter_outcomes": {
+        "plan": 1
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+      "edit_apply_failures": 0,
+      "reviewer": {
+        "verdict": "unreadable",
+        "defects": []
+      },
+      "llm_calls": 4,
+      "llm_calls_by_agent": {
+        "adapter_seaborn": 1,
+        "anyplot": 2,
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+      "tokens": {
+        "prompt": 45801,
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+      "png": "renders/pie-basic-seaborn-n5000-r1.png",
+      "error": null,
+      "pipeline_error": null
+    },
+    {
+      "case_id": "pie-basic-seaborn-renamed",
+      "repeat": 1,
+      "spec_id": "pie-basic",
+      "library": "seaborn",
+      "perturbation": "renamed",
+      "expected": "accepted",
+      "tags": [
+        "pie",
+        "renamed",
+        "synthetic",
+        "renamed-headers"
+      ],
+      "origin": "fixtures",
+      "status": "needs_attention",
+      "reason": null,
+      "attempts": 2,
+      "passed": true,
+      "accepted": false,
+      "accept_match": false,
+      "padded": false,
+      "adaptation": [],
+      "advisory": [],
+      "residual_defects": [
+        "DQ-03 (light): Center annotation reads 'Cloud Market 2024' from the catalogue example, which does not describe the user's monthly spending data → Center label that names the user's data (e.g. 'Monthly\\nspending'), or removed. Likely cause: the hard-coded ax.text center label string 'Cloud\\nMarket\\n2024'.",
+        "VQ-01 (light): Percentage labels (autopct) at about 8 pt on a 3200-px canvas, small relative to the slices → about 11-12 pt (+3-4 pt). Likely cause: autotext.set_fontsize(8)."
+      ],
+      "gate_failures": {},
+      "validator_rejections": {},
+      "adapter_outcomes": {
+        "plan": 2
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+      "edit_apply_failures": 0,
+      "reviewer": {
+        "verdict": "defects",
+        "defects": [
+          "DQ-03",
+          "VQ-01"
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+      "llm_calls": 5,
+      "llm_calls_by_agent": {
+        "adapter_seaborn": 2,
+        "anyplot": 2,
+        "reviewer": 1
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+      "tokens": {
+        "prompt": 65864,
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+      "turns": 1,
+      "png": "renders/pie-basic-seaborn-renamed-r1.png",
+      "error": null,
+      "pipeline_error": null
+    },
+    {
+      "case_id": "pie-basic-seaborn-x10",
+      "repeat": 1,
+      "spec_id": "pie-basic",
+      "library": "seaborn",
+      "perturbation": "x10",
+      "expected": "accepted",
+      "tags": [
+        "pie",
+        "x10",
+        "synthetic",
+        "scaled-values"
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+      "origin": "fixtures",
+      "status": "needs_attention",
+      "reason": null,
+      "attempts": 2,
+      "passed": true,
+      "accepted": false,
+      "accept_match": false,
+      "padded": false,
+      "adaptation": [],
+      "advisory": [],
+      "residual_defects": [
+        "VQ-01 (light): percentage labels on slices are about 8pt at 400dpi, appearing small relative to the canvas; legend text also small → larger autopct labels (about 11pt) for readability at full size. Likely cause: autotext.set_fontsize(8) in the autopct loop."
+      ],
+      "gate_failures": {},
+      "validator_rejections": {},
+      "adapter_outcomes": {
+        "plan": 2
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+      "edit_apply_failures": 0,
+      "reviewer": {
+        "verdict": "defects",
+        "defects": [
+          "VQ-01"
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+      "llm_calls_by_agent": {
+        "adapter_seaborn": 2,
+        "anyplot": 2,
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+      "turns": 1,
+      "png": "renders/pie-basic-seaborn-x10-r1.png",
+      "error": null,
+      "pipeline_error": null
+    },
+    {
+      "case_id": "scatter-basic-matplotlib",
+      "repeat": 1,
+      "spec_id": "scatter-basic",
+      "library": "matplotlib",
+      "perturbation": null,
+      "expected": "accepted",
+      "tags": [
+        "numeric",
+        "renamed-columns",
+        "small",
+        "smoke"
+      ],
+      "origin": "fixtures",
+      "status": "needs_attention",
+      "reason": null,
+      "attempts": 2,
+      "passed": true,
+      "accepted": false,
+      "accept_match": false,
+      "padded": false,
+      "adaptation": [],
+      "advisory": [
+        "G3"
+      ],
+      "residual_defects": [
+        "AR-09 (light): text extends 441 px beyond the canvas edge → keep every text inside the canvas. Likely cause: a label position, a long tick label or a large font size.",
+        "the plot was not reviewed (the review answer could not be read)"
+      ],
+      "gate_failures": {
+        "G3": 2
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+      "adapter_outcomes": {
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+      "edit_apply_failures": 0,
+      "reviewer": {
+        "verdict": "unreadable",
+        "defects": []
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+      "llm_calls": 5,
+      "llm_calls_by_agent": {
+        "adapter_matplotlib": 2,
+        "anyplot": 2,
+        "reviewer": 1
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+      "tokens": {
+        "prompt": 66731,
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+      "turns": 1,
+      "png": "renders/scatter-basic-matplotlib-r1.png",
+      "error": null,
+      "pipeline_error": null
+    },
+    {
+      "case_id": "scatter-basic-matplotlib-date",
+      "repeat": 1,
+      "spec_id": "scatter-basic",
+      "library": "matplotlib",
+      "perturbation": "date",
+      "expected": "accepted",
+      "tags": [
+        "scatter",
+        "date",
+        "synthetic",
+        "dd.mm.yyyy",
+        "iso-date",
+        "unbound-dates"
+      ],
+      "origin": "fixtures",
+      "status": "needs_attention",
+      "reason": null,
+      "attempts": 2,
+      "passed": true,
+      "accepted": false,
+      "accept_match": false,
+      "padded": false,
+      "adaptation": [],
+      "advisory": [
+        "G3"
+      ],
+      "residual_defects": [
+        "AR-09 (light): text extends 242 px beyond the canvas edge → keep every text inside the canvas. Likely cause: a label position, a long tick label or a large font size.",
+        "AR-09 (light): the footnote 'n = 150 · Pearson r = 0.77' sits at the right edge and its text extends past the canvas border → all text fully inside the canvas, with a right margin of at least about 20 px. Likely cause: fig.text placed at x=0.955 with ha='right' combined with the long footnote string; move the anchor left or shorten the text."
+      ],
+      "gate_failures": {
+        "G3": 2
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+        "verdict": "defects",
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+      "llm_calls_by_agent": {
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+      "error": null,
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+    {
+      "case_id": "scatter-basic-matplotlib-decimal-comma",
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+      "spec_id": "scatter-basic",
+      "library": "matplotlib",
+      "perturbation": "decimal-comma",
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+      "tags": [
+        "scatter",
+        "decimal-comma",
+        "synthetic",
+        "semicolon"
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+      "padded": false,
+      "adaptation": [],
+      "advisory": [
+        "G3"
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+      "residual_defects": [
+        "AR-09 (light): text extends 314 px beyond the canvas edge → keep every text inside the canvas. Likely cause: a label position, a long tick label or a large font size.",
+        "DQ-03 (light): A trend line and 95% confidence band are drawn, a regression layer the spec never asked for, and the band uses a hard-coded t_crit of 1.96 with a 'Pearson r' footnote; the scatter itself is fine → Remove the fitted trend line, confidence band and the Pearson r footnote so only the scatter of Ad Spend vs Revenue remains. Likely cause: the np.polyfit trend block, fill_between band, and the fig.text Pearson r annotation.",
+        "VQ-03 (light): Markers are large (s=130) and overlap heavily in the dense 40-60 and 80-120 ranges, with dark overplotted clusters → Smaller marker size (about s=70) so overlap is reduced while points stay visible. Likely cause: the scatter s=130 argument."
+      ],
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+        "G3": 2
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+          "VQ-03"
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+      "perturbation": "n12",
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+        "n12",
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+        "small"
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+      "adaptation": [],
+      "advisory": [
+        "G3"
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+        "AR-09 (light): text extends 70 px beyond the canvas edge → keep every text inside the canvas. Likely cause: a label position, a long tick label or a large font size.",
+        "AR-09 (light): the footnote 'n = 12 · Pearson r = 0.69' and the x-axis label sit close to the bottom-right; gate reports text extending 70 px beyond the canvas edge → all text fully inside the canvas with at least ~20 px margin (shift right edge inward by about 70 px). Likely cause: fig.text anchored at x=0.96 with ha='right' combined with subplots_adjust right=0.95 leaves the footnote/labels overflowing the right edge; reduce the footnote x position or the right margin."
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+        "G3": 2
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+    {
+      "case_id": "scatter-basic-matplotlib-n5000",
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+      "library": "matplotlib",
+      "perturbation": "n5000",
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+        "n5000",
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+        "large"
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+      "padded": false,
+      "adaptation": [],
+      "advisory": [
+        "G3"
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+        "AR-09 (light): text extends 298 px beyond the canvas edge → keep every text inside the canvas. Likely cause: a label position, a long tick label or a large font size.",
+        "VQ-02 (light): 5000 points at alpha 0.7 and size 40 form a dense, largely opaque blob in the lower-left and centre, hiding the structure of the data → smaller markers (about s=12-16) and lower alpha (about 0.35-0.45) so overlap stays readable. Likely cause: the scatter call's s=40 and alpha=0.7 are not adapted to the high row count (5000).",
+        "DQ-03 (light): the y-axis is fixed to a 0-500 range and the footnote reads 'Pearson r = 0.70' from the example data, not confirmed for the user's values; the bottom spine extends below 0 with empty space → axis limits derived from the user's data min/max, and footnote computed from the same data (it already is) with no hard-coded range. Likely cause: the axis range is auto-chosen by matplotlib with ax.margins but the footnote/labels still carry catalogue-example framing; verify no set_ylim/set_xlim hard-codes the range."
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+      "perturbation": "renamed",
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+        "renamed-headers",
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+        "AR-09 (light): text extends 314 px beyond the canvas edge → keep every text inside the canvas. Likely cause: a label position, a long tick label or a large font size.",
+        "the plot was not reviewed (the repair round left defects)"
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+    {
+      "case_id": "scatter-basic-seaborn-date",
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+      "spec_id": "scatter-basic",
+      "library": "seaborn",
+      "perturbation": "date",
+      "expected": "accepted",
+      "tags": [
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+        "date",
+        "synthetic",
+        "dd.mm.yyyy",
+        "iso-date",
+        "unbound-dates"
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+      "adaptation": [],
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+      "residual_defects": [
+        "AR-09 (light): text extends 233 px beyond the canvas edge → keep every text inside the canvas. Likely cause: a label position, a long tick label or a large font size.",
+        "VQ-06 (light): Title 'Ad Spend vs. Revenue (kCHF)' is clipped at the top edge of the canvas, with its ascenders cut off → Title fully inside the canvas with about 20-40 px top margin (+~40 px). Likely cause: fig.subplots_adjust top=0.93 leaves too little room above the title; the title pad/top margin needs to be increased.",
+        "AR-09 (light): Title text touches/exceeds the top border of the canvas → Title entirely within the canvas. Likely cause: fig.subplots_adjust(top=0.93) combined with title pad=14 and fontsize 12 pushes the title past the top edge."
+      ],
+      "gate_failures": {
+        "G3": 2
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+        "defects": [
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+        "AR-09 (light): title text 'Ad Spend vs Revenue (kCHF)' is cut off at the top canvas edge (ascenders clipped) → title fully inside canvas with about 20-30 px top margin (+~30 px). Likely cause: fig.subplots_adjust top=0.93 leaves too little headroom for the 12pt title with pad=14."
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+      "gate_failures": {
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+        "the plot was not reviewed (the repair round left defects)"
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+        "AR-09 (light): text extends 218 px beyond the canvas edge → keep every text inside the canvas. Likely cause: a label position, a long tick label or a large font size.",
+        "VQ-02 (light): title text 'Ad Spend vs. Revenue (kCHF)' is clipped/crowded against the top canvas edge (top of glyphs at the border) → title fully inside canvas with about 20-30 px top margin (+~30 px). Likely cause: subplots_adjust top=0.93 leaves too little room for the title pad and fontsize 12.",
+        "VQ-03 (light): dense cluster of overplotted markers with edge outlines merging into a solid green mass at low Ad Spend → smaller marker size or lower alpha so individual points remain distinguishable (s reduced from 30 to about 18). Likely cause: scatterplot s=30 with 5000 rows is too large for this density."
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+        "the plot was not reviewed (the repair round left defects)"
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+        "VQ-03 (light): quartile and median lines are drawn as thick bars spanning the full violin width, with the quartile colour clashing against the violin fill (white and amber on mid-tone fills) → thinner, clearly separated quartile markers with a clear median line inside the violin. Likely cause: cquantiles linewidths of 2.0/3.5 with path-effect stroke and per-category colours; reduce widths and contrast."
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+        "VQ-03 (light): Median line is amber and thick while Q1/Q3 white lines are thin; the quantile markers are hard to tell apart from the body edge and the spec's quartile markers are barely legible → Quartile markers and median line clearly distinct and visible against each colored body. Likely cause: cquantiles set_linewidths and set_colors with path effects on the violin body colors."
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+        "VQ-01 (light): axis titles and tick labels are small relative to the canvas; tick labels at about 8pt look faint in the render → tick labels about 10pt and axis titles about 12pt for legibility. Likely cause: the labelsize=8 in tick_params and fontsize=10 in set_xlabel/set_ylabel.",
+        "SC-03 (light): y-axis label reads 'basket_eur' (raw column name) and x-axis reads 'Segment' while the data is basket value in EUR → a readable axis label such as 'Basket value (EUR)' on y and 'Customer segment' on x. Likely cause: ax.set_ylabel uses the raw column name and the x label is hard-coded from the example data."
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+      "repeat": 1,
+      "spec_id": "violin-basic",
+      "library": "seaborn",
+      "perturbation": "decimal-comma",
+      "expected": "accepted",
+      "tags": [
+        "violin",
+        "decimal-comma",
+        "synthetic",
+        "semicolon"
+      ],
+      "origin": "fixtures",
+      "status": "needs_attention",
+      "reason": null,
+      "attempts": 2,
+      "passed": true,
+      "accepted": false,
+      "accept_match": false,
+      "padded": false,
+      "adaptation": [],
+      "advisory": [],
+      "residual_defects": [
+        "VQ-06 (light): plot has no title (title is empty string) so the chart does not name the user's data → a title naming the basket value distribution by customer segment, e.g. 'Basket Value by Customer Segment'. Likely cause: title = \"\" passed to ax.set_title.",
+        "VQ-03 (light): jittered stripplot points at alpha 0.15 and size 2.0 are nearly invisible against the violins and background → points visible at about alpha 0.4 and size 3.5 (+1.5 size, +0.25 alpha). Likely cause: stripplot size and alpha arguments.",
+        "VQ-07 (light): violin fills use the palette but the 2nd-4th series colors are ordered by appearance, and the stripplot points inherit per-category tints that are too faint → stripplot points drawn in INK_SOFT or the same Imprint hue at higher opacity. Likely cause: stripplot palette=palette with low alpha."
+      ],
+      "gate_failures": {},
+      "validator_rejections": {},
+      "adapter_outcomes": {
+        "plan": 1,
+        "schema": 1
+      },
+      "edit_apply_failures": 0,
+      "reviewer": {
+        "verdict": "defects",
+        "defects": [
+          "VQ-06",
+          "VQ-03",
+          "VQ-07"
+        ]
+      },
+      "llm_calls": 5,
+      "llm_calls_by_agent": {
+        "adapter_seaborn": 2,
+        "anyplot": 2,
+        "reviewer": 1
+      },
+      "tokens": {
+        "prompt": 66672,
+        "candidates": 4036,
+        "thoughts": 0,
+        "cached": 52998,
+        "cache_write": 13606,
+        "tool_use_prompt": 0,
+        "judge_input": 1069,
+        "judge_output": 59
+      },
+      "model_versions": [
+        "claude-haiku-5-5"
+      ],
+      "cost_usd": 0.0048311230000000005,
+      "ttfe_s": 0.5042042239947477,
+      "e2e_s": 19.713084058006643,
+      "queue_s": 0.0,
+      "render_s": [
+        4.464
+      ],
+      "render_wall_s": [
+        4.323
+      ],
+      "turns": 1,
+      "png": "renders/violin-basic-seaborn-decimal-comma-r1.png",
+      "error": null,
+      "pipeline_error": null
+    },
+    {
+      "case_id": "violin-basic-seaborn-n12",
+      "repeat": 1,
+      "spec_id": "violin-basic",
+      "library": "seaborn",
+      "perturbation": "n12",
+      "expected": "accepted",
+      "tags": [
+        "violin",
+        "n12",
+        "synthetic",
+        "small"
+      ],
+      "origin": "fixtures",
+      "status": "needs_attention",
+      "reason": null,
+      "attempts": 2,
+      "passed": false,
+      "accepted": false,
+      "accept_match": false,
+      "padded": false,
+      "adaptation": [
+        "palette-prefix",
+        "palette-prefix"
+      ],
+      "advisory": [],
+      "residual_defects": [
+        "VQ-07 (code): IMPRINT must be a list of colour string literals at line 25 → derive it from df and the Imprint palette. Likely cause: the adaptation (palette-prefix).",
+        "VQ-07 (code): IMPRINT_PALETTE must be a list of colour string literals at line 26 → derive it from df and the Imprint palette. Likely cause: the adaptation (palette-prefix).",
+        "VQ-03 (light): the stripplot overlay points are tiny and at alpha 0.25, nearly invisible against the violins → visible jittered points (size about 2x larger, alpha about 0.5 with an ink edge). Likely cause: the stripplot size and alpha arguments.",
+        "VQ-03 (light): the inner box is drawn as a thick dark bar with a white median tick that is hard to read as a median line → a clearly visible median line in a contrasting ink color with quartile markers. Likely cause: the violinplot inner=\"box\" setting with default box styling."
+      ],
+      "gate_failures": {
+        "R1": 1
+      },
+      "validator_rejections": {},
+      "adapter_outcomes": {
+        "plan": 2
+      },
+      "edit_apply_failures": 0,
+      "reviewer": {
+        "verdict": "defects",
+        "defects": [
+          "VQ-03",
+          "VQ-03"
+        ]
+      },
+      "llm_calls": 5,
+      "llm_calls_by_agent": {
+        "adapter_seaborn": 2,
+        "anyplot": 2,
+        "reviewer": 1
+      },
+      "tokens": {
+        "prompt": 66779,
+        "candidates": 3978,
+        "thoughts": 0,
+        "cached": 52998,
+        "cache_write": 13713,
+        "tool_use_prompt": 0,
+        "judge_input": 1069,
+        "judge_output": 59
+      },
+      "model_versions": [
+        "claude-haiku-5-5"
+      ],
+      "cost_usd": 0.004813935500000001,
+      "ttfe_s": 0.38259739299246576,
+      "e2e_s": 22.87457731500035,
+      "queue_s": 0.0,
+      "render_s": [
+        3.513,
+        4.359
+      ],
+      "render_wall_s": [
+        3.429,
+        4.233
+      ],
+      "turns": 1,
+      "png": "renders/violin-basic-seaborn-n12-r1.png",
+      "error": null,
+      "pipeline_error": null
+    },
+    {
+      "case_id": "violin-basic-seaborn-n5000",
+      "repeat": 1,
+      "spec_id": "violin-basic",
+      "library": "seaborn",
+      "perturbation": "n5000",
+      "expected": "accepted",
+      "tags": [
+        "violin",
+        "n5000",
+        "synthetic",
+        "large"
+      ],
+      "origin": "fixtures",
+      "status": "needs_attention",
+      "reason": null,
+      "attempts": 2,
+      "passed": false,
+      "accepted": false,
+      "accept_match": false,
+      "padded": false,
+      "adaptation": [
+        "palette-prefix"
+      ],
+      "advisory": [],
+      "residual_defects": [
+        "VQ-07 (code): IMPRINT_PALETTE must be a list of colour string literals at line 24 → derive it from df and the Imprint palette. Likely cause: the adaptation (palette-prefix).",
+        "the plot was not reviewed (the review answer could not be read)"
+      ],
+      "gate_failures": {},
+      "validator_rejections": {},
+      "adapter_outcomes": {
+        "plan": 2
+      },
+      "edit_apply_failures": 0,
+      "reviewer": {
+        "verdict": "unreadable",
+        "defects": []
+      },
+      "llm_calls": 5,
+      "llm_calls_by_agent": {
+        "adapter_seaborn": 2,
+        "anyplot": 2,
+        "reviewer": 1
+      },
+      "tokens": {
+        "prompt": 66121,
+        "candidates": 3671,
+        "thoughts": 0,
+        "cached": 52998,
+        "cache_write": 13055,
+        "tool_use_prompt": 0,
+        "judge_input": 1069,
+        "judge_output": 59
+      },
+      "model_versions": [
+        "claude-haiku-5-5"
+      ],
+      "cost_usd": 0.004554610500000001,
+      "ttfe_s": 0.6236239729914814,
+      "e2e_s": 24.038959148005233,
+      "queue_s": 0.0,
+      "render_s": [
+        4.646,
+        4.754
+      ],
+      "render_wall_s": [
+        4.454,
+        4.611
+      ],
+      "turns": 1,
+      "png": "renders/violin-basic-seaborn-n5000-r1.png",
+      "error": null,
+      "pipeline_error": null
+    },
+    {
+      "case_id": "violin-basic-seaborn-renamed",
+      "repeat": 1,
+      "spec_id": "violin-basic",
+      "library": "seaborn",
+      "perturbation": "renamed",
+      "expected": "accepted",
+      "tags": [
+        "violin",
+        "renamed",
+        "synthetic",
+        "renamed-headers"
+      ],
+      "origin": "fixtures",
+      "status": "needs_attention",
+      "reason": null,
+      "attempts": 2,
+      "passed": true,
+      "accepted": false,
+      "accept_match": false,
+      "padded": false,
+      "adaptation": [],
+      "advisory": [],
+      "residual_defects": [
+        "VQ-06 (light): plot title is empty (title=\"\"), so the plot has no title naming the user's data → a title naming the basket value distribution by segment. Likely cause: the title variable set to an empty string passed to ax.set_title.",
+        "VQ-03 (light): the inner box and median markers are dark ink on dark violin fills, and the stripplot points are very faint (alpha 0.25, size 2.5) at this density → median line and quartile box visible in contrast, stripplot points legible (larger size or higher alpha). Likely cause: inner='box' styling with default dark ink and stripplot size=2.5 alpha=0.25."
+      ],
+      "gate_failures": {},
+      "validator_rejections": {},
+      "adapter_outcomes": {
+        "plan": 1,
+        "schema": 1
+      },
+      "edit_apply_failures": 0,
+      "reviewer": {
+        "verdict": "defects",
+        "defects": [
+          "VQ-06",
+          "VQ-03"
+        ]
+      },
+      "llm_calls": 5,
+      "llm_calls_by_agent": {
+        "adapter_seaborn": 2,
+        "anyplot": 2,
+        "reviewer": 1
+      },
+      "tokens": {
+        "prompt": 66292,
+        "candidates": 3641,
+        "thoughts": 0,
+        "cached": 53364,
+        "cache_write": 12860,
+        "tool_use_prompt": 0,
+        "judge_input": 1056,
+        "judge_output": 59
+      },
+      "model_versions": [
+        "claude-haiku-5-5"
+      ],
+      "cost_usd": 0.004513894000000001,
+      "ttfe_s": 0.4510320069966838,
+      "e2e_s": 18.81020131299738,
+      "queue_s": 0.0,
+      "render_s": [
+        4.19
+      ],
+      "render_wall_s": [
+        4.041
+      ],
+      "turns": 1,
+      "png": "renders/violin-basic-seaborn-renamed-r1.png",
+      "error": null,
+      "pipeline_error": null
+    },
+    {
+      "case_id": "violin-basic-seaborn-x10",
+      "repeat": 1,
+      "spec_id": "violin-basic",
+      "library": "seaborn",
+      "perturbation": "x10",
+      "expected": "accepted",
+      "tags": [
+        "violin",
+        "x10",
+        "synthetic",
+        "scaled-values",
+        "smoke"
+      ],
+      "origin": "fixtures",
+      "status": "needs_attention",
+      "reason": null,
+      "attempts": 2,
+      "passed": true,
+      "accepted": false,
+      "accept_match": false,
+      "padded": false,
+      "adaptation": [],
+      "advisory": [],
+      "residual_defects": [
+        "VQ-06 (light): Plot has no title; the title is set to an empty string, so the plot does not name the user's data → a title naming the basket value distribution by customer segment. Likely cause: title = \"\" passed to ax.set_title.",
+        "VQ-03 (light): Strip-plot points are tiny and very faint (alpha 0.25), nearly invisible against the violin fills, especially on the Students and Professionals violins → larger, more opaque jittered points (alpha about 0.5 or more, size increased). Likely cause: stripplot size=2.5 and alpha=0.25.",
+        "VQ-01 (light): Tick labels at about 8pt and axis labels at 10pt look small relative to the 3200x1800 canvas → tick labels about 10-11pt and axis labels about 12-13pt (+2-3pt). Likely cause: ax.tick_params labelsize=8 and set_xlabel/set_ylabel fontsize=10."
+      ],
+      "gate_failures": {},
+      "validator_rejections": {},
+      "adapter_outcomes": {
+        "plan": 2
+      },
+      "edit_apply_failures": 1,
+      "reviewer": {
+        "verdict": "defects",
+        "defects": [
+          "VQ-06",
+          "VQ-03",
+          "VQ-01"
+        ]
+      },
+      "llm_calls": 5,
+      "llm_calls_by_agent": {
+        "adapter_seaborn": 2,
+        "anyplot": 2,
+        "reviewer": 1
+      },
+      "tokens": {
+        "prompt": 66609,
+        "candidates": 3125,
+        "thoughts": 0,
+        "cached": 52998,
+        "cache_write": 13543,
+        "tool_use_prompt": 0,
+        "judge_input": 1069,
+        "judge_output": 59
+      },
+      "model_versions": [
+        "claude-haiku-5-5"
+      ],
+      "cost_usd": 0.004321410500000001,
+      "ttfe_s": 0.3987339409941342,
+      "e2e_s": 16.574753396998858,
+      "queue_s": 0.0,
+      "render_s": [
+        4.225
+      ],
+      "render_wall_s": [
+        4.091
+      ],
+      "turns": 1,
+      "png": "renders/violin-basic-seaborn-x10-r1.png",
+      "error": null,
+      "pipeline_error": null
+    }
+  ],
+  "stopped": null
+}
diff --git a/agents/evals/cases.py b/agents/evals/cases.py
new file mode 100644
index 0000000000..398cc2bf67
--- /dev/null
+++ b/agents/evals/cases.py
@@ -0,0 +1,152 @@
+"""Eval cases: loading, validation and selection for the matrix harness.
+
+A case is a directory with `case.json`, `data.csv` and optionally `snapshot.json` and
+`change_request.txt` (`agents/evals/fixtures/README.md`). Two sources:
+
+* `agents/evals/fixtures/cases/`: committed, synthetic only (`origin="fixtures"`);
+* `agents/evals/.cases/`: promoted feedback cases synced from the private bucket,
+  git-ignored because they hold users' data (`origin="promoted"`). Nothing syncs them
+  yet; the harness reads the directory when it exists.
+
+`select_cases` takes the harness's `--cases` value: `smoke` (the cases tagged `smoke`:
+one generated case per spec plus the two hand-written ones), `full` (every case), or
+comma-separated shell globs over case ids (`*-seaborn-*`, `pie-basic-*`). The catalogue
+snapshot comes from `snapshot.json` or, without it, from `plots/<spec>/` in this
+checkout (`dev_fixture.snapshot_from_repo`).
+"""
+
+import fnmatch
+import json
+import re
+from dataclasses import dataclass, field
+from pathlib import Path
+from typing import Any, Literal
+
+from agents.anyplot.dev_fixture import CASES_DIR, snapshot_from_repo
+from agents.anyplot.schemas import Binding
+from agents.anyplot.session_state import CatalogueSnapshot
+from agents.anyplot.settings import FIXTURE_PATTERN
+from core.constants import SUPPORTED_LIBRARIES
+
+
+PROMOTED_DIR = Path(__file__).resolve().parent / ".cases"
+Expected = Literal["accepted", "rejected", "unknown"]
+Origin = Literal["fixtures", "promoted"]
+EXPECTED: tuple[str, ...] = ("accepted", "rejected", "unknown")
+SMOKE_TAG = "smoke"
+MAX_CHANGE_REQUEST_CHARS = 600
+_CASE_ID = re.compile(FIXTURE_PATTERN)
+
+
+class CaseError(ValueError):
+    """A case directory that cannot be run: a missing file or an invalid field."""
+
+
+@dataclass(frozen=True)
+class EvalCase:
+    """One runnable case."""
+
+    case_id: str
+    spec_id: str
+    library: str
+    locale: str
+    bindings: list[Binding] | None
+    expected: Expected
+    tags: tuple[str, ...]
+    perturbation: str | None
+    source: str
+    data_text: str
+    origin: Origin
+    directory: Path
+    change_request: str | None = None
+    snapshot_file: Path | None = field(default=None, repr=False)
+
+    def snapshot(self) -> CatalogueSnapshot:
+        """The catalogue snapshot the session opens with: `snapshot.json`, else the files under `plots/`."""
+        if self.snapshot_file is not None:
+            return CatalogueSnapshot.model_validate_json(self.snapshot_file.read_text(encoding="utf-8"))
+        return snapshot_from_repo(self.spec_id, self.library)
+
+
+def load_case(directory: Path, origin: Origin = "fixtures") -> EvalCase:
+    """Read and validate one case directory."""
+    case_id = directory.name
+    if not _CASE_ID.fullmatch(case_id):
+        raise CaseError(f"{directory}: not a case id ({FIXTURE_PATTERN})")
+    try:
+        raw: Any = json.loads((directory / "case.json").read_text(encoding="utf-8"))
+        data_text = (directory / "data.csv").read_text(encoding="utf-8")
+    except (OSError, ValueError) as exc:
+        raise CaseError(f"{directory}: needs a readable case.json and data.csv ({type(exc).__name__})") from exc
+    if not isinstance(raw, dict):
+        raise CaseError(f"{directory}/case.json: not an object")
+    spec_id, library = raw.get("spec_id"), raw.get("library")
+    if not isinstance(spec_id, str) or not re.fullmatch(r"[a-z0-9-]{1,100}", spec_id):
+        raise CaseError(f"{directory}/case.json: spec_id is missing or invalid")
+    if library not in SUPPORTED_LIBRARIES:
+        raise CaseError(f"{directory}/case.json: library {library!r} is not a catalogue library")
+    expected = raw.get("expected", "unknown")
+    if expected not in EXPECTED:
+        raise CaseError(f"{directory}/case.json: expected must be one of {', '.join(EXPECTED)}")
+    tags = raw.get("tags", [])
+    if not isinstance(tags, list) or not all(isinstance(tag, str) for tag in tags):
+        raise CaseError(f"{directory}/case.json: tags must be a list of strings")
+    bindings = _bindings(raw.get("bindings"), directory)
+    change_file = directory / "change_request.txt"
+    change_request = change_file.read_text(encoding="utf-8").strip() if change_file.is_file() else None
+    if change_request is not None and not 0 < len(change_request) <= MAX_CHANGE_REQUEST_CHARS:
+        raise CaseError(f"{directory}/change_request.txt: 1 to {MAX_CHANGE_REQUEST_CHARS} characters")
+    snapshot_file = directory / "snapshot.json"
+    perturbation = raw.get("perturbation")
+    return EvalCase(
+        case_id=case_id,
+        spec_id=spec_id,
+        library=str(library),
+        locale=str(raw.get("locale", "en")),
+        bindings=bindings,
+        expected=expected,
+        tags=tuple(tags),
+        perturbation=perturbation if isinstance(perturbation, str) else None,
+        source=str(raw.get("source", "")),
+        data_text=data_text,
+        origin=origin,
+        directory=directory,
+        change_request=change_request,
+        snapshot_file=snapshot_file if snapshot_file.is_file() else None,
+    )
+
+
+def _bindings(value: Any, directory: Path) -> list[Binding] | None:
+    if value is None:
+        return None
+    if not isinstance(value, list):
+        raise CaseError(f"{directory}/case.json: bindings must be a list of {{role, column}}")
+    try:
+        return [Binding.model_validate(item) for item in value]
+    except ValueError as exc:
+        raise CaseError(f"{directory}/case.json: invalid binding ({type(exc).__name__})") from exc
+
+
+def load_cases(fixtures_dir: Path = CASES_DIR, promoted_dir: Path = PROMOTED_DIR) -> list[EvalCase]:
+    """Every case of both sources, sorted by case id; a case id in both is an error."""
+    cases: dict[str, EvalCase] = {}
+    sources: tuple[tuple[Path, Origin], ...] = ((fixtures_dir, "fixtures"), (promoted_dir, "promoted"))
+    for directory, origin in sources:
+        if not directory.is_dir():
+            continue
+        for case_dir in sorted(path for path in directory.iterdir() if path.is_dir()):
+            case = load_case(case_dir, origin)
+            if case.case_id in cases:
+                raise CaseError(f"case id {case.case_id} exists in both {fixtures_dir} and {promoted_dir}")
+            cases[case.case_id] = case
+    return [cases[case_id] for case_id in sorted(cases)]
+
+
+def select_cases(cases: list[EvalCase], selector: str) -> list[EvalCase]:
+    """The cases `--cases` names: `smoke`, `full`, or comma-separated globs over case ids."""
+    if selector == "full":
+        return list(cases)
+    if selector == "smoke":
+        return [case for case in cases if SMOKE_TAG in case.tags]
+    patterns = [pattern.strip() for pattern in selector.split(",") if pattern.strip()]
+    return [case for case in cases if any(fnmatch.fnmatchcase(case.case_id, pattern) for pattern in patterns)]
diff --git a/agents/evals/eligibility.py b/agents/evals/eligibility.py
new file mode 100644
index 0000000000..f2a9841c9c
--- /dev/null
+++ b/agents/evals/eligibility.py
@@ -0,0 +1,159 @@
+"""The catalogue's eligibility sweep: which matplotlib and seaborn files the agent network can adapt at all.
+
+Spike X reports, besides the adaptation matrix, post-normaliser eligibility under the
+SECURITY profile and the files blocked for a missing `THEME` block or a non-literal
+savefig target. This module answers that without a model call or a render. Run it
+from the repository root:
+
+    uv run --extra agents python -m agents.evals.eligibility
+    uv run --extra agents python -m agents.evals.eligibility --out agents/evals/reports/spike-x
+
+For every `plots/<spec>/implementations/python/{matplotlib,seaborn}.py` it does what
+`POST /v1/sessions` does with a catalogue snapshot (`opening.assess`): strip the
+`# noqa` comments, normalise, and run the readiness scan, which applies the SECURITY
+validator, the `THEME` and savefig-target checks and the map-spec rule. It counts the
+pairs by status (`clean`, `coupled`, `blocked`) per library, the blocked pairs by
+reason category (`security`, `no-theme`, `savefig-target`, `map-spec`, `syntax`), and
+the SECURITY findings by rule id, and writes `<out>/<date>-eligibility.json` and its
+Markdown table (default `agents/evals/reports/`, git-ignored). A file whose
+normalisation raises counts as `error` with the exception class.
+
+Every reason category and rule id is a fixed identifier from the scan; the report
+carries no code.
+"""
+
+import argparse
+import json
+import os
+import re
+import sys
+from collections import Counter
+from datetime import UTC, datetime
+from pathlib import Path
+from typing import Any
+
+
+EVALS_DIR = Path(__file__).resolve().parent
+REPO_ROOT = EVALS_DIR.parents[1]
+DEFAULT_OUT = EVALS_DIR / "reports"
+LIBRARIES: tuple[str, ...] = ("matplotlib", "seaborn")
+STATUSES: tuple[str, ...] = ("clean", "coupled", "blocked", "error")
+_SECURITY_RULE = re.compile(r"^security: ([a-z][a-z0-9-]*)(?: at line \d+)?:")
+
+
+def reason_category(reason: str) -> str:
+    """The fixed category a readiness reason starts with (`security`, `no-theme`, ...)."""
+    return reason.split(":", 1)[0].strip()
+
+
+def security_rule(reason: str) -> str | None:
+    """The validator rule id of a `security:` reason; None for another reason or a summary line."""
+    match = _SECURITY_RULE.match(reason)
+    return match.group(1) if match else None
+
+
+def scan_pair(code: str, *, spec_id: str, library: str) -> tuple[str, list[str]]:
+    """The readiness status of one catalogue file and its reasons, as `POST /v1/sessions` sees it."""
+    from agents.anyplot.code.normalise import normalise
+    from agents.anyplot.code.readiness import scan
+    from core.utils import strip_noqa_comments
+
+    try:
+        normalised = normalise(strip_noqa_comments(code) or "", library=library)
+    except Exception as exc:  # a file the normaliser cannot take is ineligible; its class says why
+        return "error", [f"normalise: {type(exc).__name__}"]
+    readiness = scan(normalised, spec_id=spec_id, library=library, enabled_libraries=LIBRARIES)
+    return readiness.status, list(readiness.reasons)
+
+
+def sweep(plots_dir: Path, libraries: tuple[str, ...] = LIBRARIES) -> dict[str, Any]:
+    """Scan every implementation of `libraries` under `plots_dir`; the counts and the blocked pairs."""
+    by_library: dict[str, dict[str, Any]] = {}
+    blocked: list[dict[str, Any]] = []
+    for library in libraries:
+        statuses: Counter[str] = Counter()
+        categories: Counter[str] = Counter()
+        rules: Counter[str] = Counter()
+        for path in sorted(plots_dir.glob(f"*/implementations/python/{library}.py")):
+            spec_id = path.parents[2].name
+            status, reasons = scan_pair(path.read_text(encoding="utf-8"), spec_id=spec_id, library=library)
+            statuses[status] += 1
+            if status not in ("blocked", "error"):
+                continue
+            found = sorted({reason_category(reason) for reason in reasons})
+            categories.update(found)
+            rules.update({rule for reason in reasons if (rule := security_rule(reason))})
+            blocked.append({"spec_id": spec_id, "library": library, "status": status, "categories": found})
+        total = sum(statuses.values())
+        eligible = statuses["clean"] + statuses["coupled"]
+        by_library[library] = {
+            "files": total,
+            "statuses": {status: statuses[status] for status in STATUSES},
+            "eligible": eligible,
+            "eligible_rate": eligible / total if total else None,
+            "blocked_by_category": dict(sorted(categories.items())),
+            "security_rules": dict(sorted(rules.items())),
+        }
+    return {"by_library": by_library, "blocked": blocked}
+
+
+def markdown(result: dict[str, Any], date: str) -> str:
+    """The sweep as Markdown tables."""
+    by_library = result["by_library"]
+    lines = [
+        f"# Catalogue eligibility {date}",
+        "",
+        "| Library | Files | Eligible | Clean | Coupled | Blocked | Error |",
+        "|---|---|---|---|---|---|---|",
+    ]
+    for library, item in by_library.items():
+        rate = item["eligible_rate"]
+        share = f" ({rate * 100:.1f} %)" if rate is not None else ""
+        counts = item["statuses"]
+        lines.append(
+            f"| {library} | {item['files']} | {item['eligible']}{share} | {counts['clean']} | {counts['coupled']} | "
+            f"{counts['blocked']} | {counts['error']} |"
+        )
+    lines += ["", "Blocked files by reason (a file can have several):", ""]
+    lines += ["| Reason | " + " | ".join(by_library) + " |", "|---|" + "---|" * len(by_library)]
+    categories = sorted({name for item in by_library.values() for name in item["blocked_by_category"]})
+    for name in categories:
+        cells = " | ".join(str(item["blocked_by_category"].get(name, 0)) for item in by_library.values())
+        lines.append(f"| `{name}` | {cells} |")
+    rules = sorted({name for item in by_library.values() for name in item["security_rules"]})
+    if rules:
+        lines += ["", "SECURITY findings by rule (files with at least one):", ""]
+        lines += ["| Rule | " + " | ".join(by_library) + " |", "|---|" + "---|" * len(by_library)]
+        for name in rules:
+            cells = " | ".join(str(item["security_rules"].get(name, 0)) for item in by_library.values())
+            lines.append(f"| `{name}` | {cells} |")
+    return "\n".join(lines) + "\n"
+
+
+def main(argv: list[str] | None = None) -> int:
+    parser = argparse.ArgumentParser(
+        prog="python -m agents.evals.eligibility",
+        description="Count the catalogue's matplotlib and seaborn files the agent network can adapt.",
+    )
+    parser.add_argument("--plots", type=Path, default=REPO_ROOT / "plots", help="the catalogue directory (plots/)")
+    parser.add_argument("--out", type=Path, default=DEFAULT_OUT, help="output directory (agents/evals/reports)")
+    args = parser.parse_args(argv)
+    os.environ["PYTHON_DOTENV_DISABLED"] = "1"  # importing agents.anyplot reads settings; never from a .env file
+    os.environ["ADK_DISABLE_LOAD_DOTENV"] = "1"
+    if not args.plots.is_dir():
+        print(f"error: {args.plots} is not a directory", file=sys.stderr)
+        return 2
+    date = datetime.now(UTC).date().isoformat()
+    result = {"date": date, "plots": str(args.plots), **sweep(args.plots)}
+    text = markdown(result, date)
+    args.out.mkdir(parents=True, exist_ok=True)
+    report_path = args.out / f"{date}-eligibility.json"
+    report_path.write_text(json.dumps(result, indent=2) + "\n", encoding="utf-8")
+    report_path.with_suffix(".md").write_text(text, encoding="utf-8")
+    print(text)
+    print(f"Report: {report_path}")
+    return 0
+
+
+if __name__ == "__main__":
+    raise SystemExit(main())
diff --git a/agents/evals/fixtures/README.md b/agents/evals/fixtures/README.md
index bf23fb81a3..86c1e4d72c 100644
--- a/agents/evals/fixtures/README.md
+++ b/agents/evals/fixtures/README.md
@@ -1,11 +1,19 @@
 # Eval fixture cases
 
-Each directory under `cases/` is one case of the regression harness and a development seed for `adk web` (`AGENT_DEV_FIXTURE=<case-id>`):
+Each directory under `cases/` is one case of the regression harness (`agents/evals/matrix.py`) and a development seed for `adk web` (`AGENT_DEV_FIXTURE=<case-id>`):
 
 | File | Contents |
 |---|---|
-| `case.json` | `spec_id`, `library`, `locale`, `bindings` (`[{"role", "column"}]`), `expected` (`accepted` or `rejected`) and `tags` |
-| `data.csv` | The dataset, small and synthetic; parsed exactly like pasted text |
+| `case.json` | `spec_id`, `library`, `locale`, `bindings` (`[{"role", "column"}]`), `expected` (`accepted`, `rejected` or `unknown`), `tags`, and optionally `perturbation` and `source` (where the data comes from) |
+| `data.csv` | The dataset, synthetic; sent to the `/dataset` route exactly as a user would paste it |
 | `snapshot.json` | Optional: the catalogue snapshot (`spec_id`, `title`, `description`, `data_roles`, `notes`, `code`, `library_version`). Without it the snapshot is built from `plots/<spec_id>/` in this checkout |
+| `change_request.txt` | Optional: a follow-up message the harness sends after the plot is created |
 
-Fixture data is invented. Never commit a user's data here: promoted feedback cases live in the private case bucket, and the image build excludes `agents/evals/.cases`.
+There are 122 cases:
+
+- **120 generated cases** `<spec>-<library>-<perturbation>`: 10 specs times matplotlib and seaborn times 6 perturbations (`renamed`, `x10`, `n12`, `n5000`, `date`, `decimal-comma`), written by `agents/evals/make_fixtures.py`. Never edit them by hand: change the generator and rerun `uv run --extra agents python -m agents.evals.make_fixtures`. Its docstring lists the specs, why each was chosen, and what each perturbation does.
+- **2 hand-written cases**, `scatter-basic-matplotlib` and `bar-grouped-seaborn`, which the runtime tests also use.
+
+The tag `smoke` marks the 12 cases of `--cases smoke`: one generated case per spec, cycling through the perturbations and both libraries, plus the two hand-written cases.
+
+Fixture data is invented. Never commit a user's data here: everything under `fixtures/` ships under the repository's MIT licence. Promoted feedback cases live in the private case bucket and are synced into the git-ignored `agents/evals/.cases/`, which the image build also excludes.
diff --git a/agents/evals/fixtures/cases/area-basic-matplotlib-date/case.json b/agents/evals/fixtures/cases/area-basic-matplotlib-date/case.json
new file mode 100644
index 0000000000..5fc9b36918
--- /dev/null
+++ b/agents/evals/fixtures/cases/area-basic-matplotlib-date/case.json
@@ -0,0 +1,26 @@
+{
+  "spec_id": "area-basic",
+  "library": "matplotlib",
+  "locale": "en",
+  "perturbation": "date",
+  "bindings": [
+    {
+      "role": "x",
+      "column": "Date"
+    },
+    {
+      "role": "y",
+      "column": "Energy Use (MWh)"
+    }
+  ],
+  "expected": "accepted",
+  "tags": [
+    "area",
+    "date",
+    "synthetic",
+    "dd.mm.yyyy",
+    "iso-date",
+    "date-axis"
+  ],
+  "source": "synthetic: agents/evals/make_fixtures.py (seed 707, date)"
+}
diff --git a/agents/evals/fixtures/cases/area-basic-matplotlib-date/data.csv b/agents/evals/fixtures/cases/area-basic-matplotlib-date/data.csv
new file mode 100644
index 0000000000..b289097bbd
--- /dev/null
+++ b/agents/evals/fixtures/cases/area-basic-matplotlib-date/data.csv
@@ -0,0 +1,91 @@
+Date,Metered On,Energy Use (MWh)
+01.01.2026,2026-01-02,147.6
+02.01.2026,2026-01-03,138.8
+03.01.2026,2026-01-04,153.7
+04.01.2026,2026-01-05,138.5
+05.01.2026,2026-01-06,135.4
+06.01.2026,2026-01-07,139.8
+07.01.2026,2026-01-08,144.9
+08.01.2026,2026-01-09,149.1
+09.01.2026,2026-01-10,145.9
+10.01.2026,2026-01-11,149.8
+11.01.2026,2026-01-12,141.8
+12.01.2026,2026-01-13,136.3
+13.01.2026,2026-01-14,147.1
+14.01.2026,2026-01-15,146.4
+15.01.2026,2026-01-16,151.6
+16.01.2026,2026-01-17,150.7
+17.01.2026,2026-01-18,151.2
+18.01.2026,2026-01-19,148.5
+19.01.2026,2026-01-20,141.4
+20.01.2026,2026-01-21,148.1
+21.01.2026,2026-01-22,135.8
+22.01.2026,2026-01-23,155.9
+23.01.2026,2026-01-24,150.1
+24.01.2026,2026-01-25,141.6
+25.01.2026,2026-01-26,142.0
+26.01.2026,2026-01-27,144.0
+27.01.2026,2026-01-28,134.5
+28.01.2026,2026-01-29,148.7
+29.01.2026,2026-01-30,150.0
+30.01.2026,2026-01-31,155.0
+31.01.2026,2026-02-01,150.4
+01.02.2026,2026-02-02,147.5
+02.02.2026,2026-02-03,137.6
+03.02.2026,2026-02-04,136.6
+04.02.2026,2026-02-05,150.9
+05.02.2026,2026-02-06,153.8
+06.02.2026,2026-02-07,155.0
+07.02.2026,2026-02-08,147.6
+08.02.2026,2026-02-09,140.9
+09.02.2026,2026-02-10,133.6
+10.02.2026,2026-02-11,137.7
+11.02.2026,2026-02-12,145.8
+12.02.2026,2026-02-13,150.2
+13.02.2026,2026-02-14,151.6
+14.02.2026,2026-02-15,144.1
+15.02.2026,2026-02-16,138.2
+16.02.2026,2026-02-17,131.3
+17.02.2026,2026-02-18,132.4
+18.02.2026,2026-02-19,147.6
+19.02.2026,2026-02-20,139.6
+20.02.2026,2026-02-21,149.7
+21.02.2026,2026-02-22,148.4
+22.02.2026,2026-02-23,147.5
+23.02.2026,2026-02-24,136.8
+24.02.2026,2026-02-25,140.6
+25.02.2026,2026-02-26,143.1
+26.02.2026,2026-02-27,146.2
+27.02.2026,2026-02-28,145.5
+28.02.2026,2026-03-01,144.4
+01.03.2026,2026-03-02,137.4
+02.03.2026,2026-03-03,138.5
+03.03.2026,2026-03-04,135.2
+04.03.2026,2026-03-05,143.3
+05.03.2026,2026-03-06,150.2
+06.03.2026,2026-03-07,150.4
+07.03.2026,2026-03-08,136.3
+08.03.2026,2026-03-09,136.5
+09.03.2026,2026-03-10,133.9
+10.03.2026,2026-03-11,126.3
+11.03.2026,2026-03-12,136.2
+12.03.2026,2026-03-13,130.1
+13.03.2026,2026-03-14,141.8
+14.03.2026,2026-03-15,134.3
+15.03.2026,2026-03-16,135.7
+16.03.2026,2026-03-17,130.6
+17.03.2026,2026-03-18,124.6
+18.03.2026,2026-03-19,135.2
+19.03.2026,2026-03-20,137.1
+20.03.2026,2026-03-21,140.5
+21.03.2026,2026-03-22,131.2
+22.03.2026,2026-03-23,124.6
+23.03.2026,2026-03-24,122.6
+24.03.2026,2026-03-25,126.2
+25.03.2026,2026-03-26,137.7
+26.03.2026,2026-03-27,130.4
+27.03.2026,2026-03-28,135.6
+28.03.2026,2026-03-29,138.5
+29.03.2026,2026-03-30,131.9
+30.03.2026,2026-03-31,121.7
+31.03.2026,2026-04-01,130.0
diff --git a/agents/evals/fixtures/cases/area-basic-matplotlib-decimal-comma/case.json b/agents/evals/fixtures/cases/area-basic-matplotlib-decimal-comma/case.json
new file mode 100644
index 0000000000..5942aa42ed
--- /dev/null
+++ b/agents/evals/fixtures/cases/area-basic-matplotlib-decimal-comma/case.json
@@ -0,0 +1,24 @@
+{
+  "spec_id": "area-basic",
+  "library": "matplotlib",
+  "locale": "de",
+  "perturbation": "decimal-comma",
+  "bindings": [
+    {
+      "role": "x",
+      "column": "Day"
+    },
+    {
+      "role": "y",
+      "column": "Energy Use (MWh)"
+    }
+  ],
+  "expected": "accepted",
+  "tags": [
+    "area",
+    "decimal-comma",
+    "synthetic",
+    "semicolon"
+  ],
+  "source": "synthetic: agents/evals/make_fixtures.py (seed 707, decimal-comma)"
+}
diff --git a/agents/evals/fixtures/cases/area-basic-matplotlib-decimal-comma/data.csv b/agents/evals/fixtures/cases/area-basic-matplotlib-decimal-comma/data.csv
new file mode 100644
index 0000000000..ea52040ab1
--- /dev/null
+++ b/agents/evals/fixtures/cases/area-basic-matplotlib-decimal-comma/data.csv
@@ -0,0 +1,91 @@
+Day;Energy Use (MWh)
+1;147,6
+2;138,8
+3;153,7
+4;138,5
+5;135,4
+6;139,8
+7;144,9
+8;149,1
+9;145,9
+10;149,8
+11;141,8
+12;136,3
+13;147,1
+14;146,4
+15;151,6
+16;150,7
+17;151,2
+18;148,5
+19;141,4
+20;148,1
+21;135,8
+22;155,9
+23;150,1
+24;141,6
+25;142,0
+26;144,0
+27;134,5
+28;148,7
+29;150,0
+30;155,0
+31;150,4
+32;147,5
+33;137,6
+34;136,6
+35;150,9
+36;153,8
+37;155,0
+38;147,6
+39;140,9
+40;133,6
+41;137,7
+42;145,8
+43;150,2
+44;151,6
+45;144,1
+46;138,2
+47;131,3
+48;132,4
+49;147,6
+50;139,6
+51;149,7
+52;148,4
+53;147,5
+54;136,8
+55;140,6
+56;143,1
+57;146,2
+58;145,5
+59;144,4
+60;137,4
+61;138,5
+62;135,2
+63;143,3
+64;150,2
+65;150,4
+66;136,3
+67;136,5
+68;133,9
+69;126,3
+70;136,2
+71;130,1
+72;141,8
+73;134,3
+74;135,7
+75;130,6
+76;124,6
+77;135,2
+78;137,1
+79;140,5
+80;131,2
+81;124,6
+82;122,6
+83;126,2
+84;137,7
+85;130,4
+86;135,6
+87;138,5
+88;131,9
+89;121,7
+90;130,0
diff --git a/agents/evals/fixtures/cases/area-basic-matplotlib-n12/case.json b/agents/evals/fixtures/cases/area-basic-matplotlib-n12/case.json
new file mode 100644
index 0000000000..04923f4c2e
--- /dev/null
+++ b/agents/evals/fixtures/cases/area-basic-matplotlib-n12/case.json
@@ -0,0 +1,24 @@
+{
+  "spec_id": "area-basic",
+  "library": "matplotlib",
+  "locale": "en",
+  "perturbation": "n12",
+  "bindings": [
+    {
+      "role": "x",
+      "column": "Day"
+    },
+    {
+      "role": "y",
+      "column": "Energy Use (MWh)"
+    }
+  ],
+  "expected": "accepted",
+  "tags": [
+    "area",
+    "n12",
+    "synthetic",
+    "small"
+  ],
+  "source": "synthetic: agents/evals/make_fixtures.py (seed 707, n12)"
+}
diff --git a/agents/evals/fixtures/cases/area-basic-matplotlib-n12/data.csv b/agents/evals/fixtures/cases/area-basic-matplotlib-n12/data.csv
new file mode 100644
index 0000000000..8ab487a48c
--- /dev/null
+++ b/agents/evals/fixtures/cases/area-basic-matplotlib-n12/data.csv
@@ -0,0 +1,13 @@
+Day,Energy Use (MWh)
+1,142.3
+2,152.9
+3,144.8
+4,140.8
+5,129.5
+6,140.3
+7,144.7
+8,146.5
+9,149.0
+10,149.5
+11,138.6
+12,137.0
diff --git a/agents/evals/fixtures/cases/area-basic-matplotlib-n5000/case.json b/agents/evals/fixtures/cases/area-basic-matplotlib-n5000/case.json
new file mode 100644
index 0000000000..5377ec8a5c
--- /dev/null
+++ b/agents/evals/fixtures/cases/area-basic-matplotlib-n5000/case.json
@@ -0,0 +1,24 @@
+{
+  "spec_id": "area-basic",
+  "library": "matplotlib",
+  "locale": "en",
+  "perturbation": "n5000",
+  "bindings": [
+    {
+      "role": "x",
+      "column": "Day"
+    },
+    {
+      "role": "y",
+      "column": "Energy Use (MWh)"
+    }
+  ],
+  "expected": "accepted",
+  "tags": [
+    "area",
+    "n5000",
+    "synthetic",
+    "large"
+  ],
+  "source": "synthetic: agents/evals/make_fixtures.py (seed 707, n5000)"
+}
diff --git a/agents/evals/fixtures/cases/area-basic-matplotlib-n5000/data.csv b/agents/evals/fixtures/cases/area-basic-matplotlib-n5000/data.csv
new file mode 100644
index 0000000000..a171cf4f1f
--- /dev/null
+++ b/agents/evals/fixtures/cases/area-basic-matplotlib-n5000/data.csv
@@ -0,0 +1,5001 @@
+Day,Energy Use (MWh)
+1,152.6
+2,147.6
+3,144.7
+4,140.0
+5,144.0
+6,141.8
+7,144.8
+8,154.8
+9,149.4
+10,152.8
+11,140.1
+12,142.6
+13,142.4
+14,142.2
+15,153.5
+16,156.7
+17,149.7
+18,147.0
+19,137.9
+20,140.0
+21,139.1
+22,150.2
+23,152.2
+24,154.5
+25,135.6
+26,138.2
+27,137.3
+28,148.6
+29,152.6
+30,159.3
+31,141.9
+32,140.9
+33,140.8
+34,138.7
+35,143.4
+36,152.8
+37,145.7
+38,154.3
+39,139.3
+40,137.4
+41,132.4
+42,146.9
+43,152.0
+44,149.4
+45,144.8
+46,136.9
+47,133.2
+48,138.0
+49,139.9
+50,149.8
+51,153.6
+52,147.5
+53,138.2
+54,139.3
+55,131.3
+56,138.8
+57,147.5
+58,146.6
+59,146.3
+60,131.8
+61,127.7
+62,128.1
+63,133.0
+64,146.9
+65,142.9
+66,136.2
+67,141.6
+68,136.3
+69,131.3
+70,135.5
+71,146.2
+72,147.6
+73,131.5
+74,132.0
+75,133.6
+76,140.8
+77,134.7
+78,144.4
+79,141.9
+80,142.4
+81,132.6
+82,131.3
+83,120.3
+84,137.3
+85,134.9
+86,137.0
+87,133.6
+88,133.2
+89,126.3
+90,123.4
+91,130.8
+92,132.8
+93,135.3
+94,127.0
+95,119.4
+96,113.8
+97,119.9
+98,124.1
+99,133.5
+100,131.7
+101,128.0
+102,123.1
+103,115.6
+104,129.6
+105,127.2
+106,124.0
+107,120.3
+108,121.1
+109,119.0
+110,118.8
+111,123.7
+112,121.2
+113,119.7
+114,135.1
+115,129.3
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diff --git a/agents/evals/fixtures/cases/area-basic-matplotlib-renamed/case.json b/agents/evals/fixtures/cases/area-basic-matplotlib-renamed/case.json
new file mode 100644
index 0000000000..8f4cd9c7d8
--- /dev/null
+++ b/agents/evals/fixtures/cases/area-basic-matplotlib-renamed/case.json
@@ -0,0 +1,25 @@
+{
+  "spec_id": "area-basic",
+  "library": "matplotlib",
+  "locale": "de",
+  "perturbation": "renamed",
+  "bindings": [
+    {
+      "role": "x",
+      "column": "tag_nr"
+    },
+    {
+      "role": "y",
+      "column": "energieverbrauch_mwh"
+    }
+  ],
+  "expected": "accepted",
+  "tags": [
+    "area",
+    "renamed",
+    "synthetic",
+    "renamed-headers",
+    "smoke"
+  ],
+  "source": "synthetic: agents/evals/make_fixtures.py (seed 707, renamed)"
+}
diff --git a/agents/evals/fixtures/cases/area-basic-matplotlib-renamed/data.csv b/agents/evals/fixtures/cases/area-basic-matplotlib-renamed/data.csv
new file mode 100644
index 0000000000..75a7dc5152
--- /dev/null
+++ b/agents/evals/fixtures/cases/area-basic-matplotlib-renamed/data.csv
@@ -0,0 +1,91 @@
+tag_nr,energieverbrauch_mwh
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diff --git a/agents/evals/fixtures/cases/area-basic-matplotlib-x10/case.json b/agents/evals/fixtures/cases/area-basic-matplotlib-x10/case.json
new file mode 100644
index 0000000000..e2c28ec7ac
--- /dev/null
+++ b/agents/evals/fixtures/cases/area-basic-matplotlib-x10/case.json
@@ -0,0 +1,24 @@
+{
+  "spec_id": "area-basic",
+  "library": "matplotlib",
+  "locale": "en",
+  "perturbation": "x10",
+  "bindings": [
+    {
+      "role": "x",
+      "column": "Day"
+    },
+    {
+      "role": "y",
+      "column": "Energy Use (MWh)"
+    }
+  ],
+  "expected": "accepted",
+  "tags": [
+    "area",
+    "x10",
+    "synthetic",
+    "scaled-values"
+  ],
+  "source": "synthetic: agents/evals/make_fixtures.py (seed 707, x10)"
+}
diff --git a/agents/evals/fixtures/cases/area-basic-matplotlib-x10/data.csv b/agents/evals/fixtures/cases/area-basic-matplotlib-x10/data.csv
new file mode 100644
index 0000000000..f682e5e763
--- /dev/null
+++ b/agents/evals/fixtures/cases/area-basic-matplotlib-x10/data.csv
@@ -0,0 +1,91 @@
+Day,Energy Use (MWh)
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diff --git a/agents/evals/fixtures/cases/area-basic-seaborn-date/case.json b/agents/evals/fixtures/cases/area-basic-seaborn-date/case.json
new file mode 100644
index 0000000000..e6aafbde50
--- /dev/null
+++ b/agents/evals/fixtures/cases/area-basic-seaborn-date/case.json
@@ -0,0 +1,26 @@
+{
+  "spec_id": "area-basic",
+  "library": "seaborn",
+  "locale": "en",
+  "perturbation": "date",
+  "bindings": [
+    {
+      "role": "x",
+      "column": "Date"
+    },
+    {
+      "role": "y",
+      "column": "Energy Use (MWh)"
+    }
+  ],
+  "expected": "accepted",
+  "tags": [
+    "area",
+    "date",
+    "synthetic",
+    "dd.mm.yyyy",
+    "iso-date",
+    "date-axis"
+  ],
+  "source": "synthetic: agents/evals/make_fixtures.py (seed 707, date)"
+}
diff --git a/agents/evals/fixtures/cases/area-basic-seaborn-date/data.csv b/agents/evals/fixtures/cases/area-basic-seaborn-date/data.csv
new file mode 100644
index 0000000000..b289097bbd
--- /dev/null
+++ b/agents/evals/fixtures/cases/area-basic-seaborn-date/data.csv
@@ -0,0 +1,91 @@
+Date,Metered On,Energy Use (MWh)
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diff --git a/agents/evals/fixtures/cases/area-basic-seaborn-decimal-comma/case.json b/agents/evals/fixtures/cases/area-basic-seaborn-decimal-comma/case.json
new file mode 100644
index 0000000000..57f685bf61
--- /dev/null
+++ b/agents/evals/fixtures/cases/area-basic-seaborn-decimal-comma/case.json
@@ -0,0 +1,24 @@
+{
+  "spec_id": "area-basic",
+  "library": "seaborn",
+  "locale": "de",
+  "perturbation": "decimal-comma",
+  "bindings": [
+    {
+      "role": "x",
+      "column": "Day"
+    },
+    {
+      "role": "y",
+      "column": "Energy Use (MWh)"
+    }
+  ],
+  "expected": "accepted",
+  "tags": [
+    "area",
+    "decimal-comma",
+    "synthetic",
+    "semicolon"
+  ],
+  "source": "synthetic: agents/evals/make_fixtures.py (seed 707, decimal-comma)"
+}
diff --git a/agents/evals/fixtures/cases/area-basic-seaborn-decimal-comma/data.csv b/agents/evals/fixtures/cases/area-basic-seaborn-decimal-comma/data.csv
new file mode 100644
index 0000000000..ea52040ab1
--- /dev/null
+++ b/agents/evals/fixtures/cases/area-basic-seaborn-decimal-comma/data.csv
@@ -0,0 +1,91 @@
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diff --git a/agents/evals/fixtures/cases/area-basic-seaborn-n12/case.json b/agents/evals/fixtures/cases/area-basic-seaborn-n12/case.json
new file mode 100644
index 0000000000..015ce538ce
--- /dev/null
+++ b/agents/evals/fixtures/cases/area-basic-seaborn-n12/case.json
@@ -0,0 +1,24 @@
+{
+  "spec_id": "area-basic",
+  "library": "seaborn",
+  "locale": "en",
+  "perturbation": "n12",
+  "bindings": [
+    {
+      "role": "x",
+      "column": "Day"
+    },
+    {
+      "role": "y",
+      "column": "Energy Use (MWh)"
+    }
+  ],
+  "expected": "accepted",
+  "tags": [
+    "area",
+    "n12",
+    "synthetic",
+    "small"
+  ],
+  "source": "synthetic: agents/evals/make_fixtures.py (seed 707, n12)"
+}
diff --git a/agents/evals/fixtures/cases/area-basic-seaborn-n12/data.csv b/agents/evals/fixtures/cases/area-basic-seaborn-n12/data.csv
new file mode 100644
index 0000000000..8ab487a48c
--- /dev/null
+++ b/agents/evals/fixtures/cases/area-basic-seaborn-n12/data.csv
@@ -0,0 +1,13 @@
+Day,Energy Use (MWh)
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diff --git a/agents/evals/fixtures/cases/area-basic-seaborn-n5000/case.json b/agents/evals/fixtures/cases/area-basic-seaborn-n5000/case.json
new file mode 100644
index 0000000000..f37b020612
--- /dev/null
+++ b/agents/evals/fixtures/cases/area-basic-seaborn-n5000/case.json
@@ -0,0 +1,24 @@
+{
+  "spec_id": "area-basic",
+  "library": "seaborn",
+  "locale": "en",
+  "perturbation": "n5000",
+  "bindings": [
+    {
+      "role": "x",
+      "column": "Day"
+    },
+    {
+      "role": "y",
+      "column": "Energy Use (MWh)"
+    }
+  ],
+  "expected": "accepted",
+  "tags": [
+    "area",
+    "n5000",
+    "synthetic",
+    "large"
+  ],
+  "source": "synthetic: agents/evals/make_fixtures.py (seed 707, n5000)"
+}
diff --git a/agents/evals/fixtures/cases/area-basic-seaborn-n5000/data.csv b/agents/evals/fixtures/cases/area-basic-seaborn-n5000/data.csv
new file mode 100644
index 0000000000..a171cf4f1f
--- /dev/null
+++ b/agents/evals/fixtures/cases/area-basic-seaborn-n5000/data.csv
@@ -0,0 +1,5001 @@
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diff --git a/agents/evals/fixtures/cases/area-basic-seaborn-renamed/case.json b/agents/evals/fixtures/cases/area-basic-seaborn-renamed/case.json
new file mode 100644
index 0000000000..7b9606b271
--- /dev/null
+++ b/agents/evals/fixtures/cases/area-basic-seaborn-renamed/case.json
@@ -0,0 +1,24 @@
+{
+  "spec_id": "area-basic",
+  "library": "seaborn",
+  "locale": "de",
+  "perturbation": "renamed",
+  "bindings": [
+    {
+      "role": "x",
+      "column": "tag_nr"
+    },
+    {
+      "role": "y",
+      "column": "energieverbrauch_mwh"
+    }
+  ],
+  "expected": "accepted",
+  "tags": [
+    "area",
+    "renamed",
+    "synthetic",
+    "renamed-headers"
+  ],
+  "source": "synthetic: agents/evals/make_fixtures.py (seed 707, renamed)"
+}
diff --git a/agents/evals/fixtures/cases/area-basic-seaborn-renamed/data.csv b/agents/evals/fixtures/cases/area-basic-seaborn-renamed/data.csv
new file mode 100644
index 0000000000..75a7dc5152
--- /dev/null
+++ b/agents/evals/fixtures/cases/area-basic-seaborn-renamed/data.csv
@@ -0,0 +1,91 @@
+tag_nr,energieverbrauch_mwh
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diff --git a/agents/evals/fixtures/cases/area-basic-seaborn-x10/case.json b/agents/evals/fixtures/cases/area-basic-seaborn-x10/case.json
new file mode 100644
index 0000000000..b6feafa480
--- /dev/null
+++ b/agents/evals/fixtures/cases/area-basic-seaborn-x10/case.json
@@ -0,0 +1,24 @@
+{
+  "spec_id": "area-basic",
+  "library": "seaborn",
+  "locale": "en",
+  "perturbation": "x10",
+  "bindings": [
+    {
+      "role": "x",
+      "column": "Day"
+    },
+    {
+      "role": "y",
+      "column": "Energy Use (MWh)"
+    }
+  ],
+  "expected": "accepted",
+  "tags": [
+    "area",
+    "x10",
+    "synthetic",
+    "scaled-values"
+  ],
+  "source": "synthetic: agents/evals/make_fixtures.py (seed 707, x10)"
+}
diff --git a/agents/evals/fixtures/cases/area-basic-seaborn-x10/data.csv b/agents/evals/fixtures/cases/area-basic-seaborn-x10/data.csv
new file mode 100644
index 0000000000..f682e5e763
--- /dev/null
+++ b/agents/evals/fixtures/cases/area-basic-seaborn-x10/data.csv
@@ -0,0 +1,91 @@
+Day,Energy Use (MWh)
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diff --git a/agents/evals/fixtures/cases/bar-grouped-matplotlib-date/case.json b/agents/evals/fixtures/cases/bar-grouped-matplotlib-date/case.json
new file mode 100644
index 0000000000..8494efbd6b
--- /dev/null
+++ b/agents/evals/fixtures/cases/bar-grouped-matplotlib-date/case.json
@@ -0,0 +1,30 @@
+{
+  "spec_id": "bar-grouped",
+  "library": "matplotlib",
+  "locale": "en",
+  "perturbation": "date",
+  "bindings": [
+    {
+      "role": "category",
+      "column": "Subject"
+    },
+    {
+      "role": "group",
+      "column": "Grade Level"
+    },
+    {
+      "role": "value",
+      "column": "Test Score"
+    }
+  ],
+  "expected": "accepted",
+  "tags": [
+    "bar",
+    "date",
+    "synthetic",
+    "dd.mm.yyyy",
+    "iso-date",
+    "unbound-dates"
+  ],
+  "source": "synthetic: agents/evals/make_fixtures.py (seed 303, date)"
+}
diff --git a/agents/evals/fixtures/cases/bar-grouped-matplotlib-date/data.csv b/agents/evals/fixtures/cases/bar-grouped-matplotlib-date/data.csv
new file mode 100644
index 0000000000..c6a4430116
--- /dev/null
+++ b/agents/evals/fixtures/cases/bar-grouped-matplotlib-date/data.csv
@@ -0,0 +1,16 @@
+Subject,Grade Level,Test Score,Exam Date,Graded On
+Mathematics,Grade 7,66.1,21.01.2026,2026-01-23
+Mathematics,Grade 8,69.9,13.06.2026,2026-06-15
+Mathematics,Grade 9,71.8,22.05.2026,2026-05-22
+Physics,Grade 7,64.6,23.01.2026,2026-01-24
+Physics,Grade 8,65.3,21.02.2026,2026-02-21
+Physics,Grade 9,74.1,23.04.2026,2026-04-25
+Chemistry,Grade 7,63.4,22.04.2026,2026-04-23
+Chemistry,Grade 8,66.5,17.03.2026,2026-03-20
+Chemistry,Grade 9,68.7,01.02.2026,2026-02-04
+Biology,Grade 7,73.0,10.03.2026,2026-03-10
+Biology,Grade 8,72.1,03.03.2026,2026-03-04
+Biology,Grade 9,80.7,20.06.2026,2026-06-23
+History,Grade 7,73.0,10.02.2026,2026-02-13
+History,Grade 8,79.9,30.05.2026,2026-05-31
+History,Grade 9,85.8,03.06.2026,2026-06-05
diff --git a/agents/evals/fixtures/cases/bar-grouped-matplotlib-decimal-comma/case.json b/agents/evals/fixtures/cases/bar-grouped-matplotlib-decimal-comma/case.json
new file mode 100644
index 0000000000..11d64bc16a
--- /dev/null
+++ b/agents/evals/fixtures/cases/bar-grouped-matplotlib-decimal-comma/case.json
@@ -0,0 +1,28 @@
+{
+  "spec_id": "bar-grouped",
+  "library": "matplotlib",
+  "locale": "de",
+  "perturbation": "decimal-comma",
+  "bindings": [
+    {
+      "role": "category",
+      "column": "Subject"
+    },
+    {
+      "role": "group",
+      "column": "Grade Level"
+    },
+    {
+      "role": "value",
+      "column": "Test Score"
+    }
+  ],
+  "expected": "accepted",
+  "tags": [
+    "bar",
+    "decimal-comma",
+    "synthetic",
+    "semicolon"
+  ],
+  "source": "synthetic: agents/evals/make_fixtures.py (seed 303, decimal-comma)"
+}
diff --git a/agents/evals/fixtures/cases/bar-grouped-matplotlib-decimal-comma/data.csv b/agents/evals/fixtures/cases/bar-grouped-matplotlib-decimal-comma/data.csv
new file mode 100644
index 0000000000..5a4fdf74c5
--- /dev/null
+++ b/agents/evals/fixtures/cases/bar-grouped-matplotlib-decimal-comma/data.csv
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diff --git a/agents/evals/fixtures/cases/bar-grouped-matplotlib-n12/case.json b/agents/evals/fixtures/cases/bar-grouped-matplotlib-n12/case.json
new file mode 100644
index 0000000000..56cc0ed234
--- /dev/null
+++ b/agents/evals/fixtures/cases/bar-grouped-matplotlib-n12/case.json
@@ -0,0 +1,29 @@
+{
+  "spec_id": "bar-grouped",
+  "library": "matplotlib",
+  "locale": "en",
+  "perturbation": "n12",
+  "bindings": [
+    {
+      "role": "category",
+      "column": "Subject"
+    },
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+    },
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+    }
+  ],
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+    "bar",
+    "n12",
+    "synthetic",
+    "small",
+    "smoke"
+  ],
+  "source": "synthetic: agents/evals/make_fixtures.py (seed 303, n12)"
+}
diff --git a/agents/evals/fixtures/cases/bar-grouped-matplotlib-n12/data.csv b/agents/evals/fixtures/cases/bar-grouped-matplotlib-n12/data.csv
new file mode 100644
index 0000000000..056babdf94
--- /dev/null
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diff --git a/agents/evals/fixtures/cases/bar-grouped-matplotlib-n5000/case.json b/agents/evals/fixtures/cases/bar-grouped-matplotlib-n5000/case.json
new file mode 100644
index 0000000000..647abe19a8
--- /dev/null
+++ b/agents/evals/fixtures/cases/bar-grouped-matplotlib-n5000/case.json
@@ -0,0 +1,29 @@
+{
+  "spec_id": "bar-grouped",
+  "library": "matplotlib",
+  "locale": "en",
+  "perturbation": "n5000",
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+    {
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+    }
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+  ],
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+}
diff --git a/agents/evals/fixtures/cases/bar-grouped-matplotlib-n5000/data.csv b/agents/evals/fixtures/cases/bar-grouped-matplotlib-n5000/data.csv
new file mode 100644
index 0000000000..aaee49deb4
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diff --git a/agents/evals/fixtures/cases/bar-grouped-matplotlib-renamed/case.json b/agents/evals/fixtures/cases/bar-grouped-matplotlib-renamed/case.json
new file mode 100644
index 0000000000..fb494fc2e6
--- /dev/null
+++ b/agents/evals/fixtures/cases/bar-grouped-matplotlib-renamed/case.json
@@ -0,0 +1,29 @@
+{
+  "spec_id": "bar-grouped",
+  "library": "matplotlib",
+  "locale": "de",
+  "perturbation": "renamed",
+  "bindings": [
+    {
+      "role": "category",
+      "column": "Fach"
+    },
+    {
+      "role": "group",
+      "column": "Jahrgangsstufe"
+    },
+    {
+      "role": "value",
+      "column": "Punkte (Ø)"
+    }
+  ],
+  "expected": "accepted",
+  "tags": [
+    "bar",
+    "renamed",
+    "synthetic",
+    "renamed-headers",
+    "non-ascii-headers"
+  ],
+  "source": "synthetic: agents/evals/make_fixtures.py (seed 303, renamed)"
+}
diff --git a/agents/evals/fixtures/cases/bar-grouped-matplotlib-renamed/data.csv b/agents/evals/fixtures/cases/bar-grouped-matplotlib-renamed/data.csv
new file mode 100644
index 0000000000..8bbc890c19
--- /dev/null
+++ b/agents/evals/fixtures/cases/bar-grouped-matplotlib-renamed/data.csv
@@ -0,0 +1,16 @@
+Fach,Jahrgangsstufe,Punkte (Ø)
+Mathematics,Grade 7,66.1
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diff --git a/agents/evals/fixtures/cases/bar-grouped-matplotlib-x10/case.json b/agents/evals/fixtures/cases/bar-grouped-matplotlib-x10/case.json
new file mode 100644
index 0000000000..86b8065f6f
--- /dev/null
+++ b/agents/evals/fixtures/cases/bar-grouped-matplotlib-x10/case.json
@@ -0,0 +1,28 @@
+{
+  "spec_id": "bar-grouped",
+  "library": "matplotlib",
+  "locale": "en",
+  "perturbation": "x10",
+  "bindings": [
+    {
+      "role": "category",
+      "column": "Subject"
+    },
+    {
+      "role": "group",
+      "column": "Grade Level"
+    },
+    {
+      "role": "value",
+      "column": "Test Score"
+    }
+  ],
+  "expected": "accepted",
+  "tags": [
+    "bar",
+    "x10",
+    "synthetic",
+    "scaled-values"
+  ],
+  "source": "synthetic: agents/evals/make_fixtures.py (seed 303, x10)"
+}
diff --git a/agents/evals/fixtures/cases/bar-grouped-matplotlib-x10/data.csv b/agents/evals/fixtures/cases/bar-grouped-matplotlib-x10/data.csv
new file mode 100644
index 0000000000..8bb5979214
--- /dev/null
+++ b/agents/evals/fixtures/cases/bar-grouped-matplotlib-x10/data.csv
@@ -0,0 +1,16 @@
+Subject,Grade Level,Test Score
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diff --git a/agents/evals/fixtures/cases/bar-grouped-seaborn-date/case.json b/agents/evals/fixtures/cases/bar-grouped-seaborn-date/case.json
new file mode 100644
index 0000000000..73ffe2a6eb
--- /dev/null
+++ b/agents/evals/fixtures/cases/bar-grouped-seaborn-date/case.json
@@ -0,0 +1,30 @@
+{
+  "spec_id": "bar-grouped",
+  "library": "seaborn",
+  "locale": "en",
+  "perturbation": "date",
+  "bindings": [
+    {
+      "role": "category",
+      "column": "Subject"
+    },
+    {
+      "role": "group",
+      "column": "Grade Level"
+    },
+    {
+      "role": "value",
+      "column": "Test Score"
+    }
+  ],
+  "expected": "accepted",
+  "tags": [
+    "bar",
+    "date",
+    "synthetic",
+    "dd.mm.yyyy",
+    "iso-date",
+    "unbound-dates"
+  ],
+  "source": "synthetic: agents/evals/make_fixtures.py (seed 303, date)"
+}
diff --git a/agents/evals/fixtures/cases/bar-grouped-seaborn-date/data.csv b/agents/evals/fixtures/cases/bar-grouped-seaborn-date/data.csv
new file mode 100644
index 0000000000..c6a4430116
--- /dev/null
+++ b/agents/evals/fixtures/cases/bar-grouped-seaborn-date/data.csv
@@ -0,0 +1,16 @@
+Subject,Grade Level,Test Score,Exam Date,Graded On
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diff --git a/agents/evals/fixtures/cases/bar-grouped-seaborn-decimal-comma/case.json b/agents/evals/fixtures/cases/bar-grouped-seaborn-decimal-comma/case.json
new file mode 100644
index 0000000000..98a16fecd1
--- /dev/null
+++ b/agents/evals/fixtures/cases/bar-grouped-seaborn-decimal-comma/case.json
@@ -0,0 +1,28 @@
+{
+  "spec_id": "bar-grouped",
+  "library": "seaborn",
+  "locale": "de",
+  "perturbation": "decimal-comma",
+  "bindings": [
+    {
+      "role": "category",
+      "column": "Subject"
+    },
+    {
+      "role": "group",
+      "column": "Grade Level"
+    },
+    {
+      "role": "value",
+      "column": "Test Score"
+    }
+  ],
+  "expected": "accepted",
+  "tags": [
+    "bar",
+    "decimal-comma",
+    "synthetic",
+    "semicolon"
+  ],
+  "source": "synthetic: agents/evals/make_fixtures.py (seed 303, decimal-comma)"
+}
diff --git a/agents/evals/fixtures/cases/bar-grouped-seaborn-decimal-comma/data.csv b/agents/evals/fixtures/cases/bar-grouped-seaborn-decimal-comma/data.csv
new file mode 100644
index 0000000000..5a4fdf74c5
--- /dev/null
+++ b/agents/evals/fixtures/cases/bar-grouped-seaborn-decimal-comma/data.csv
@@ -0,0 +1,16 @@
+Subject;Grade Level;Test Score
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diff --git a/agents/evals/fixtures/cases/bar-grouped-seaborn-n12/case.json b/agents/evals/fixtures/cases/bar-grouped-seaborn-n12/case.json
new file mode 100644
index 0000000000..3d0cd100c4
--- /dev/null
+++ b/agents/evals/fixtures/cases/bar-grouped-seaborn-n12/case.json
@@ -0,0 +1,28 @@
+{
+  "spec_id": "bar-grouped",
+  "library": "seaborn",
+  "locale": "en",
+  "perturbation": "n12",
+  "bindings": [
+    {
+      "role": "category",
+      "column": "Subject"
+    },
+    {
+      "role": "group",
+      "column": "Grade Level"
+    },
+    {
+      "role": "value",
+      "column": "Test Score"
+    }
+  ],
+  "expected": "accepted",
+  "tags": [
+    "bar",
+    "n12",
+    "synthetic",
+    "small"
+  ],
+  "source": "synthetic: agents/evals/make_fixtures.py (seed 303, n12)"
+}
diff --git a/agents/evals/fixtures/cases/bar-grouped-seaborn-n12/data.csv b/agents/evals/fixtures/cases/bar-grouped-seaborn-n12/data.csv
new file mode 100644
index 0000000000..056babdf94
--- /dev/null
+++ b/agents/evals/fixtures/cases/bar-grouped-seaborn-n12/data.csv
@@ -0,0 +1,13 @@
+Subject,Grade Level,Test Score
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diff --git a/agents/evals/fixtures/cases/bar-grouped-seaborn-n5000/case.json b/agents/evals/fixtures/cases/bar-grouped-seaborn-n5000/case.json
new file mode 100644
index 0000000000..7175e47568
--- /dev/null
+++ b/agents/evals/fixtures/cases/bar-grouped-seaborn-n5000/case.json
@@ -0,0 +1,29 @@
+{
+  "spec_id": "bar-grouped",
+  "library": "seaborn",
+  "locale": "en",
+  "perturbation": "n5000",
+  "bindings": [
+    {
+      "role": "category",
+      "column": "Subject"
+    },
+    {
+      "role": "group",
+      "column": "Grade Level"
+    },
+    {
+      "role": "value",
+      "column": "Test Score"
+    }
+  ],
+  "expected": "accepted",
+  "tags": [
+    "bar",
+    "n5000",
+    "synthetic",
+    "large",
+    "aggregation"
+  ],
+  "source": "synthetic: agents/evals/make_fixtures.py (seed 303, n5000)"
+}
diff --git a/agents/evals/fixtures/cases/bar-grouped-seaborn-n5000/data.csv b/agents/evals/fixtures/cases/bar-grouped-seaborn-n5000/data.csv
new file mode 100644
index 0000000000..aaee49deb4
--- /dev/null
+++ b/agents/evals/fixtures/cases/bar-grouped-seaborn-n5000/data.csv
@@ -0,0 +1,5001 @@
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diff --git a/agents/evals/fixtures/cases/bar-grouped-seaborn-renamed/case.json b/agents/evals/fixtures/cases/bar-grouped-seaborn-renamed/case.json
new file mode 100644
index 0000000000..0cc846b7e5
--- /dev/null
+++ b/agents/evals/fixtures/cases/bar-grouped-seaborn-renamed/case.json
@@ -0,0 +1,29 @@
+{
+  "spec_id": "bar-grouped",
+  "library": "seaborn",
+  "locale": "de",
+  "perturbation": "renamed",
+  "bindings": [
+    {
+      "role": "category",
+      "column": "Fach"
+    },
+    {
+      "role": "group",
+      "column": "Jahrgangsstufe"
+    },
+    {
+      "role": "value",
+      "column": "Punkte (Ø)"
+    }
+  ],
+  "expected": "accepted",
+  "tags": [
+    "bar",
+    "renamed",
+    "synthetic",
+    "renamed-headers",
+    "non-ascii-headers"
+  ],
+  "source": "synthetic: agents/evals/make_fixtures.py (seed 303, renamed)"
+}
diff --git a/agents/evals/fixtures/cases/bar-grouped-seaborn-renamed/data.csv b/agents/evals/fixtures/cases/bar-grouped-seaborn-renamed/data.csv
new file mode 100644
index 0000000000..8bbc890c19
--- /dev/null
+++ b/agents/evals/fixtures/cases/bar-grouped-seaborn-renamed/data.csv
@@ -0,0 +1,16 @@
+Fach,Jahrgangsstufe,Punkte (Ø)
+Mathematics,Grade 7,66.1
+Mathematics,Grade 8,69.9
+Mathematics,Grade 9,71.8
+Physics,Grade 7,64.6
+Physics,Grade 8,65.3
+Physics,Grade 9,74.1
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+Chemistry,Grade 8,66.5
+Chemistry,Grade 9,68.7
+Biology,Grade 7,73.0
+Biology,Grade 8,72.1
+Biology,Grade 9,80.7
+History,Grade 7,73.0
+History,Grade 8,79.9
+History,Grade 9,85.8
diff --git a/agents/evals/fixtures/cases/bar-grouped-seaborn-x10/case.json b/agents/evals/fixtures/cases/bar-grouped-seaborn-x10/case.json
new file mode 100644
index 0000000000..ccec6071f9
--- /dev/null
+++ b/agents/evals/fixtures/cases/bar-grouped-seaborn-x10/case.json
@@ -0,0 +1,28 @@
+{
+  "spec_id": "bar-grouped",
+  "library": "seaborn",
+  "locale": "en",
+  "perturbation": "x10",
+  "bindings": [
+    {
+      "role": "category",
+      "column": "Subject"
+    },
+    {
+      "role": "group",
+      "column": "Grade Level"
+    },
+    {
+      "role": "value",
+      "column": "Test Score"
+    }
+  ],
+  "expected": "accepted",
+  "tags": [
+    "bar",
+    "x10",
+    "synthetic",
+    "scaled-values"
+  ],
+  "source": "synthetic: agents/evals/make_fixtures.py (seed 303, x10)"
+}
diff --git a/agents/evals/fixtures/cases/bar-grouped-seaborn-x10/data.csv b/agents/evals/fixtures/cases/bar-grouped-seaborn-x10/data.csv
new file mode 100644
index 0000000000..8bb5979214
--- /dev/null
+++ b/agents/evals/fixtures/cases/bar-grouped-seaborn-x10/data.csv
@@ -0,0 +1,16 @@
+Subject,Grade Level,Test Score
+Mathematics,Grade 7,660.8
+Mathematics,Grade 8,698.8
+Mathematics,Grade 9,718.1
+Physics,Grade 7,645.9
+Physics,Grade 8,653.1
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+Chemistry,Grade 7,633.8
+Chemistry,Grade 8,664.8
+Chemistry,Grade 9,687.1
+Biology,Grade 7,730.0
+Biology,Grade 8,720.9
+Biology,Grade 9,806.7
+History,Grade 7,730.3
+History,Grade 8,798.6
+History,Grade 9,858.1
diff --git a/agents/evals/fixtures/cases/bar-grouped-seaborn/case.json b/agents/evals/fixtures/cases/bar-grouped-seaborn/case.json
index 70b01c03ab..760662adef 100644
--- a/agents/evals/fixtures/cases/bar-grouped-seaborn/case.json
+++ b/agents/evals/fixtures/cases/bar-grouped-seaborn/case.json
@@ -8,5 +8,6 @@
     {"role": "value", "column": "Revenue (kEUR)"}
   ],
   "expected": "accepted",
-  "tags": ["categorical", "four-groups", "palette-extension", "german-locale"]
+  "tags": ["categorical", "four-groups", "palette-extension", "german-locale", "smoke"],
+  "source": "hand-written synthetic data"
 }
diff --git a/agents/evals/fixtures/cases/box-basic-matplotlib-date/case.json b/agents/evals/fixtures/cases/box-basic-matplotlib-date/case.json
new file mode 100644
index 0000000000..0887c547b8
--- /dev/null
+++ b/agents/evals/fixtures/cases/box-basic-matplotlib-date/case.json
@@ -0,0 +1,27 @@
+{
+  "spec_id": "box-basic",
+  "library": "matplotlib",
+  "locale": "en",
+  "perturbation": "date",
+  "bindings": [
+    {
+      "role": "category",
+      "column": "Production Line"
+    },
+    {
+      "role": "value",
+      "column": "Fill Weight (g)"
+    }
+  ],
+  "expected": "accepted",
+  "tags": [
+    "box",
+    "date",
+    "synthetic",
+    "dd.mm.yyyy",
+    "iso-date",
+    "unbound-dates",
+    "smoke"
+  ],
+  "source": "synthetic: agents/evals/make_fixtures.py (seed 505, date)"
+}
diff --git a/agents/evals/fixtures/cases/box-basic-matplotlib-date/data.csv b/agents/evals/fixtures/cases/box-basic-matplotlib-date/data.csv
new file mode 100644
index 0000000000..523541979b
--- /dev/null
+++ b/agents/evals/fixtures/cases/box-basic-matplotlib-date/data.csv
@@ -0,0 +1,241 @@
+Production Line,Fill Weight (g),Shift Date,Checked On
+Line A,501.9,20.01.2026,2026-01-22
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diff --git a/agents/evals/fixtures/cases/box-basic-matplotlib-decimal-comma/case.json b/agents/evals/fixtures/cases/box-basic-matplotlib-decimal-comma/case.json
new file mode 100644
index 0000000000..ea616d6974
--- /dev/null
+++ b/agents/evals/fixtures/cases/box-basic-matplotlib-decimal-comma/case.json
@@ -0,0 +1,24 @@
+{
+  "spec_id": "box-basic",
+  "library": "matplotlib",
+  "locale": "de",
+  "perturbation": "decimal-comma",
+  "bindings": [
+    {
+      "role": "category",
+      "column": "Production Line"
+    },
+    {
+      "role": "value",
+      "column": "Fill Weight (g)"
+    }
+  ],
+  "expected": "accepted",
+  "tags": [
+    "box",
+    "decimal-comma",
+    "synthetic",
+    "semicolon"
+  ],
+  "source": "synthetic: agents/evals/make_fixtures.py (seed 505, decimal-comma)"
+}
diff --git a/agents/evals/fixtures/cases/box-basic-matplotlib-decimal-comma/data.csv b/agents/evals/fixtures/cases/box-basic-matplotlib-decimal-comma/data.csv
new file mode 100644
index 0000000000..87f3168c06
--- /dev/null
+++ b/agents/evals/fixtures/cases/box-basic-matplotlib-decimal-comma/data.csv
@@ -0,0 +1,241 @@
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diff --git a/agents/evals/fixtures/cases/box-basic-matplotlib-n12/case.json b/agents/evals/fixtures/cases/box-basic-matplotlib-n12/case.json
new file mode 100644
index 0000000000..56497294f7
--- /dev/null
+++ b/agents/evals/fixtures/cases/box-basic-matplotlib-n12/case.json
@@ -0,0 +1,24 @@
+{
+  "spec_id": "box-basic",
+  "library": "matplotlib",
+  "locale": "en",
+  "perturbation": "n12",
+  "bindings": [
+    {
+      "role": "category",
+      "column": "Production Line"
+    },
+    {
+      "role": "value",
+      "column": "Fill Weight (g)"
+    }
+  ],
+  "expected": "accepted",
+  "tags": [
+    "box",
+    "n12",
+    "synthetic",
+    "small"
+  ],
+  "source": "synthetic: agents/evals/make_fixtures.py (seed 505, n12)"
+}
diff --git a/agents/evals/fixtures/cases/box-basic-matplotlib-n12/data.csv b/agents/evals/fixtures/cases/box-basic-matplotlib-n12/data.csv
new file mode 100644
index 0000000000..9f5cb18a70
--- /dev/null
+++ b/agents/evals/fixtures/cases/box-basic-matplotlib-n12/data.csv
@@ -0,0 +1,13 @@
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diff --git a/agents/evals/fixtures/cases/box-basic-matplotlib-n5000/case.json b/agents/evals/fixtures/cases/box-basic-matplotlib-n5000/case.json
new file mode 100644
index 0000000000..c9bbbd21cc
--- /dev/null
+++ b/agents/evals/fixtures/cases/box-basic-matplotlib-n5000/case.json
@@ -0,0 +1,24 @@
+{
+  "spec_id": "box-basic",
+  "library": "matplotlib",
+  "locale": "en",
+  "perturbation": "n5000",
+  "bindings": [
+    {
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+    }
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+  ],
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+}
diff --git a/agents/evals/fixtures/cases/box-basic-matplotlib-n5000/data.csv b/agents/evals/fixtures/cases/box-basic-matplotlib-n5000/data.csv
new file mode 100644
index 0000000000..e5b76eac63
--- /dev/null
+++ b/agents/evals/fixtures/cases/box-basic-matplotlib-n5000/data.csv
@@ -0,0 +1,5001 @@
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diff --git a/agents/evals/fixtures/cases/box-basic-matplotlib-renamed/case.json b/agents/evals/fixtures/cases/box-basic-matplotlib-renamed/case.json
new file mode 100644
index 0000000000..603f25b2ef
--- /dev/null
+++ b/agents/evals/fixtures/cases/box-basic-matplotlib-renamed/case.json
@@ -0,0 +1,25 @@
+{
+  "spec_id": "box-basic",
+  "library": "matplotlib",
+  "locale": "de",
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+  "bindings": [
+    {
+      "role": "category",
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+    },
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+    }
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+  "expected": "accepted",
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+    "box",
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+    "renamed-headers",
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+  ],
+  "source": "synthetic: agents/evals/make_fixtures.py (seed 505, renamed)"
+}
diff --git a/agents/evals/fixtures/cases/box-basic-matplotlib-renamed/data.csv b/agents/evals/fixtures/cases/box-basic-matplotlib-renamed/data.csv
new file mode 100644
index 0000000000..f3b21176c0
--- /dev/null
+++ b/agents/evals/fixtures/cases/box-basic-matplotlib-renamed/data.csv
@@ -0,0 +1,241 @@
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diff --git a/agents/evals/fixtures/cases/box-basic-matplotlib-x10/case.json b/agents/evals/fixtures/cases/box-basic-matplotlib-x10/case.json
new file mode 100644
index 0000000000..80d6c6746d
--- /dev/null
+++ b/agents/evals/fixtures/cases/box-basic-matplotlib-x10/case.json
@@ -0,0 +1,24 @@
+{
+  "spec_id": "box-basic",
+  "library": "matplotlib",
+  "locale": "en",
+  "perturbation": "x10",
+  "bindings": [
+    {
+      "role": "category",
+      "column": "Production Line"
+    },
+    {
+      "role": "value",
+      "column": "Fill Weight (g)"
+    }
+  ],
+  "expected": "accepted",
+  "tags": [
+    "box",
+    "x10",
+    "synthetic",
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+  ],
+  "source": "synthetic: agents/evals/make_fixtures.py (seed 505, x10)"
+}
diff --git a/agents/evals/fixtures/cases/box-basic-matplotlib-x10/data.csv b/agents/evals/fixtures/cases/box-basic-matplotlib-x10/data.csv
new file mode 100644
index 0000000000..05f7d36b8e
--- /dev/null
+++ b/agents/evals/fixtures/cases/box-basic-matplotlib-x10/data.csv
@@ -0,0 +1,241 @@
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diff --git a/agents/evals/fixtures/cases/box-basic-seaborn-date/case.json b/agents/evals/fixtures/cases/box-basic-seaborn-date/case.json
new file mode 100644
index 0000000000..9ae7fc6f97
--- /dev/null
+++ b/agents/evals/fixtures/cases/box-basic-seaborn-date/case.json
@@ -0,0 +1,26 @@
+{
+  "spec_id": "box-basic",
+  "library": "seaborn",
+  "locale": "en",
+  "perturbation": "date",
+  "bindings": [
+    {
+      "role": "category",
+      "column": "Production Line"
+    },
+    {
+      "role": "value",
+      "column": "Fill Weight (g)"
+    }
+  ],
+  "expected": "accepted",
+  "tags": [
+    "box",
+    "date",
+    "synthetic",
+    "dd.mm.yyyy",
+    "iso-date",
+    "unbound-dates"
+  ],
+  "source": "synthetic: agents/evals/make_fixtures.py (seed 505, date)"
+}
diff --git a/agents/evals/fixtures/cases/box-basic-seaborn-date/data.csv b/agents/evals/fixtures/cases/box-basic-seaborn-date/data.csv
new file mode 100644
index 0000000000..523541979b
--- /dev/null
+++ b/agents/evals/fixtures/cases/box-basic-seaborn-date/data.csv
@@ -0,0 +1,241 @@
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diff --git a/agents/evals/fixtures/cases/box-basic-seaborn-decimal-comma/case.json b/agents/evals/fixtures/cases/box-basic-seaborn-decimal-comma/case.json
new file mode 100644
index 0000000000..81cfb9afed
--- /dev/null
+++ b/agents/evals/fixtures/cases/box-basic-seaborn-decimal-comma/case.json
@@ -0,0 +1,24 @@
+{
+  "spec_id": "box-basic",
+  "library": "seaborn",
+  "locale": "de",
+  "perturbation": "decimal-comma",
+  "bindings": [
+    {
+      "role": "category",
+      "column": "Production Line"
+    },
+    {
+      "role": "value",
+      "column": "Fill Weight (g)"
+    }
+  ],
+  "expected": "accepted",
+  "tags": [
+    "box",
+    "decimal-comma",
+    "synthetic",
+    "semicolon"
+  ],
+  "source": "synthetic: agents/evals/make_fixtures.py (seed 505, decimal-comma)"
+}
diff --git a/agents/evals/fixtures/cases/box-basic-seaborn-decimal-comma/data.csv b/agents/evals/fixtures/cases/box-basic-seaborn-decimal-comma/data.csv
new file mode 100644
index 0000000000..87f3168c06
--- /dev/null
+++ b/agents/evals/fixtures/cases/box-basic-seaborn-decimal-comma/data.csv
@@ -0,0 +1,241 @@
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diff --git a/agents/evals/fixtures/cases/box-basic-seaborn-n12/case.json b/agents/evals/fixtures/cases/box-basic-seaborn-n12/case.json
new file mode 100644
index 0000000000..cb63b1f3dc
--- /dev/null
+++ b/agents/evals/fixtures/cases/box-basic-seaborn-n12/case.json
@@ -0,0 +1,24 @@
+{
+  "spec_id": "box-basic",
+  "library": "seaborn",
+  "locale": "en",
+  "perturbation": "n12",
+  "bindings": [
+    {
+      "role": "category",
+      "column": "Production Line"
+    },
+    {
+      "role": "value",
+      "column": "Fill Weight (g)"
+    }
+  ],
+  "expected": "accepted",
+  "tags": [
+    "box",
+    "n12",
+    "synthetic",
+    "small"
+  ],
+  "source": "synthetic: agents/evals/make_fixtures.py (seed 505, n12)"
+}
diff --git a/agents/evals/fixtures/cases/box-basic-seaborn-n12/data.csv b/agents/evals/fixtures/cases/box-basic-seaborn-n12/data.csv
new file mode 100644
index 0000000000..9f5cb18a70
--- /dev/null
+++ b/agents/evals/fixtures/cases/box-basic-seaborn-n12/data.csv
@@ -0,0 +1,13 @@
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diff --git a/agents/evals/fixtures/cases/box-basic-seaborn-n5000/case.json b/agents/evals/fixtures/cases/box-basic-seaborn-n5000/case.json
new file mode 100644
index 0000000000..8f417c05eb
--- /dev/null
+++ b/agents/evals/fixtures/cases/box-basic-seaborn-n5000/case.json
@@ -0,0 +1,24 @@
+{
+  "spec_id": "box-basic",
+  "library": "seaborn",
+  "locale": "en",
+  "perturbation": "n5000",
+  "bindings": [
+    {
+      "role": "category",
+      "column": "Production Line"
+    },
+    {
+      "role": "value",
+      "column": "Fill Weight (g)"
+    }
+  ],
+  "expected": "accepted",
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+    "box",
+    "n5000",
+    "synthetic",
+    "large"
+  ],
+  "source": "synthetic: agents/evals/make_fixtures.py (seed 505, n5000)"
+}
diff --git a/agents/evals/fixtures/cases/box-basic-seaborn-n5000/data.csv b/agents/evals/fixtures/cases/box-basic-seaborn-n5000/data.csv
new file mode 100644
index 0000000000..e5b76eac63
--- /dev/null
+++ b/agents/evals/fixtures/cases/box-basic-seaborn-n5000/data.csv
@@ -0,0 +1,5001 @@
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diff --git a/agents/evals/fixtures/cases/box-basic-seaborn-renamed/case.json b/agents/evals/fixtures/cases/box-basic-seaborn-renamed/case.json
new file mode 100644
index 0000000000..bd99814dff
--- /dev/null
+++ b/agents/evals/fixtures/cases/box-basic-seaborn-renamed/case.json
@@ -0,0 +1,25 @@
+{
+  "spec_id": "box-basic",
+  "library": "seaborn",
+  "locale": "de",
+  "perturbation": "renamed",
+  "bindings": [
+    {
+      "role": "category",
+      "column": "Abfülllinie"
+    },
+    {
+      "role": "value",
+      "column": "Füllgewicht [g]"
+    }
+  ],
+  "expected": "accepted",
+  "tags": [
+    "box",
+    "renamed",
+    "synthetic",
+    "renamed-headers",
+    "non-ascii-headers"
+  ],
+  "source": "synthetic: agents/evals/make_fixtures.py (seed 505, renamed)"
+}
diff --git a/agents/evals/fixtures/cases/box-basic-seaborn-renamed/data.csv b/agents/evals/fixtures/cases/box-basic-seaborn-renamed/data.csv
new file mode 100644
index 0000000000..f3b21176c0
--- /dev/null
+++ b/agents/evals/fixtures/cases/box-basic-seaborn-renamed/data.csv
@@ -0,0 +1,241 @@
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diff --git a/agents/evals/fixtures/cases/box-basic-seaborn-x10/case.json b/agents/evals/fixtures/cases/box-basic-seaborn-x10/case.json
new file mode 100644
index 0000000000..ed135c1f66
--- /dev/null
+++ b/agents/evals/fixtures/cases/box-basic-seaborn-x10/case.json
@@ -0,0 +1,24 @@
+{
+  "spec_id": "box-basic",
+  "library": "seaborn",
+  "locale": "en",
+  "perturbation": "x10",
+  "bindings": [
+    {
+      "role": "category",
+      "column": "Production Line"
+    },
+    {
+      "role": "value",
+      "column": "Fill Weight (g)"
+    }
+  ],
+  "expected": "accepted",
+  "tags": [
+    "box",
+    "x10",
+    "synthetic",
+    "scaled-values"
+  ],
+  "source": "synthetic: agents/evals/make_fixtures.py (seed 505, x10)"
+}
diff --git a/agents/evals/fixtures/cases/box-basic-seaborn-x10/data.csv b/agents/evals/fixtures/cases/box-basic-seaborn-x10/data.csv
new file mode 100644
index 0000000000..05f7d36b8e
--- /dev/null
+++ b/agents/evals/fixtures/cases/box-basic-seaborn-x10/data.csv
@@ -0,0 +1,241 @@
+Production Line,Fill Weight (g)
+Line A,5019.3
+Line B,4987.0
+Line C,4997.3
+Line D,5005.3
+Line A,5001.1
+Line B,5008.0
+Line C,5000.8
+Line D,5014.1
+Line A,5012.1
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+Line B,4961.5
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diff --git a/agents/evals/fixtures/cases/heatmap-basic-matplotlib-date/case.json b/agents/evals/fixtures/cases/heatmap-basic-matplotlib-date/case.json
new file mode 100644
index 0000000000..ca990c7428
--- /dev/null
+++ b/agents/evals/fixtures/cases/heatmap-basic-matplotlib-date/case.json
@@ -0,0 +1,30 @@
+{
+  "spec_id": "heatmap-basic",
+  "library": "matplotlib",
+  "locale": "en",
+  "perturbation": "date",
+  "bindings": [
+    {
+      "role": "y",
+      "column": "Weekday"
+    },
+    {
+      "role": "x",
+      "column": "Hour"
+    },
+    {
+      "role": "value",
+      "column": "Response Time (min)"
+    }
+  ],
+  "expected": "accepted",
+  "tags": [
+    "heatmap",
+    "date",
+    "synthetic",
+    "dd.mm.yyyy",
+    "iso-date",
+    "unbound-dates"
+  ],
+  "source": "synthetic: agents/evals/make_fixtures.py (seed 606, date)"
+}
diff --git a/agents/evals/fixtures/cases/heatmap-basic-matplotlib-date/data.csv b/agents/evals/fixtures/cases/heatmap-basic-matplotlib-date/data.csv
new file mode 100644
index 0000000000..3e75b7d7ae
--- /dev/null
+++ b/agents/evals/fixtures/cases/heatmap-basic-matplotlib-date/data.csv
@@ -0,0 +1,169 @@
+Weekday,Hour,Response Time (min),Week Of,Exported On
+Monday,0,14.2,26.01.2026,2026-01-27
+Monday,1,15.3,07.01.2026,2026-01-09
+Monday,2,14.3,31.01.2026,2026-02-02
+Monday,3,14.8,08.03.2026,2026-03-12
+Monday,4,14.6,20.04.2026,2026-04-20
+Monday,5,14.8,06.04.2026,2026-04-06
+Monday,6,13.5,09.03.2026,2026-03-12
+Monday,7,8.7,11.05.2026,2026-05-12
+Monday,8,10.2,16.06.2026,2026-06-20
+Monday,9,11.4,26.04.2026,2026-04-29
+Monday,10,14.5,11.02.2026,2026-02-12
+Monday,11,16.2,10.04.2026,2026-04-14
+Monday,12,17.9,30.03.2026,2026-04-03
+Monday,13,16.8,12.03.2026,2026-03-14
+Monday,14,14.7,10.03.2026,2026-03-14
+Monday,15,13.2,14.04.2026,2026-04-16
+Monday,16,10.9,26.04.2026,2026-04-26
+Monday,17,8.6,18.05.2026,2026-05-18
+Monday,18,6.9,29.05.2026,2026-05-30
+Monday,19,6.0,23.05.2026,2026-05-23
+Monday,20,6.5,10.01.2026,2026-01-13
+Monday,21,13.8,16.02.2026,2026-02-19
+Monday,22,13.1,20.06.2026,2026-06-22
+Monday,23,14.4,29.01.2026,2026-01-31
+Tuesday,0,14.2,25.06.2026,2026-06-25
+Tuesday,1,13.3,20.02.2026,2026-02-21
+Tuesday,2,13.6,06.01.2026,2026-01-10
+Tuesday,3,14.8,12.06.2026,2026-06-12
+Tuesday,4,14.2,18.02.2026,2026-02-20
+Tuesday,5,14.2,25.03.2026,2026-03-28
+Tuesday,6,14.2,03.02.2026,2026-02-05
+Tuesday,7,6.7,10.05.2026,2026-05-12
+Tuesday,8,9.5,06.03.2026,2026-03-09
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+Tuesday,10,15.7,15.03.2026,2026-03-17
+Tuesday,11,17.4,22.02.2026,2026-02-23
+Tuesday,12,18.2,19.06.2026,2026-06-21
+Tuesday,13,16.1,03.06.2026,2026-06-06
+Tuesday,14,15.4,29.04.2026,2026-05-01
+Tuesday,15,13.5,05.02.2026,2026-02-08
+Tuesday,16,12.0,23.01.2026,2026-01-23
+Tuesday,17,9.8,17.05.2026,2026-05-18
+Tuesday,18,7.0,23.06.2026,2026-06-24
+Tuesday,19,7.1,04.02.2026,2026-02-05
+Tuesday,20,5.8,04.04.2026,2026-04-04
+Tuesday,21,14.1,03.03.2026,2026-03-03
+Tuesday,22,13.7,26.05.2026,2026-05-27
+Tuesday,23,14.3,14.02.2026,2026-02-18
+Wednesday,0,15.4,24.03.2026,2026-03-25
+Wednesday,1,14.5,31.01.2026,2026-01-31
+Wednesday,2,14.1,05.01.2026,2026-01-05
+Wednesday,3,12.6,25.04.2026,2026-04-26
+Wednesday,4,14.3,26.06.2026,2026-06-30
+Wednesday,5,13.4,07.05.2026,2026-05-09
+Wednesday,6,16.0,18.03.2026,2026-03-18
+Wednesday,7,7.4,15.05.2026,2026-05-15
+Wednesday,8,8.7,07.05.2026,2026-05-11
+Wednesday,9,11.8,24.02.2026,2026-02-27
+Wednesday,10,15.3,08.02.2026,2026-02-12
+Wednesday,11,14.9,25.05.2026,2026-05-26
+Wednesday,12,16.2,10.02.2026,2026-02-11
+Wednesday,13,15.9,02.05.2026,2026-05-05
+Wednesday,14,15.3,24.06.2026,2026-06-25
+Wednesday,15,13.4,20.05.2026,2026-05-22
+Wednesday,16,10.9,08.05.2026,2026-05-11
+Wednesday,17,10.1,20.02.2026,2026-02-24
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+Wednesday,19,6.0,20.05.2026,2026-05-24
+Wednesday,20,6.2,03.03.2026,2026-03-03
+Wednesday,21,13.9,06.04.2026,2026-04-08
+Wednesday,22,14.5,16.01.2026,2026-01-19
+Wednesday,23,13.2,07.01.2026,2026-01-10
+Thursday,0,13.0,25.05.2026,2026-05-26
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+Thursday,2,14.4,19.03.2026,2026-03-23
+Thursday,3,13.6,27.03.2026,2026-03-30
+Thursday,4,13.9,28.02.2026,2026-03-02
+Thursday,5,12.9,11.04.2026,2026-04-15
+Thursday,6,13.6,26.03.2026,2026-03-26
+Thursday,7,7.7,15.02.2026,2026-02-16
+Thursday,8,9.5,19.03.2026,2026-03-20
+Thursday,9,12.8,15.05.2026,2026-05-15
+Thursday,10,14.7,15.05.2026,2026-05-17
+Thursday,11,17.0,12.01.2026,2026-01-13
+Thursday,12,15.3,21.01.2026,2026-01-23
+Thursday,13,15.7,23.02.2026,2026-02-23
+Thursday,14,14.7,28.05.2026,2026-05-31
+Thursday,15,13.1,25.02.2026,2026-02-27
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+Thursday,17,9.4,15.05.2026,2026-05-15
+Thursday,18,6.7,08.03.2026,2026-03-12
+Thursday,19,7.3,06.04.2026,2026-04-07
+Thursday,20,7.8,06.04.2026,2026-04-07
+Thursday,21,13.4,12.04.2026,2026-04-14
+Thursday,22,13.8,18.02.2026,2026-02-21
+Thursday,23,14.0,10.06.2026,2026-06-11
+Friday,0,14.6,28.03.2026,2026-04-01
+Friday,1,14.6,25.01.2026,2026-01-28
+Friday,2,14.3,02.06.2026,2026-06-06
+Friday,3,14.8,07.06.2026,2026-06-09
+Friday,4,13.7,08.01.2026,2026-01-10
+Friday,5,13.9,09.04.2026,2026-04-11
+Friday,6,15.0,09.04.2026,2026-04-10
+Friday,7,7.6,02.03.2026,2026-03-02
+Friday,8,9.2,29.04.2026,2026-05-03
+Friday,9,12.3,12.02.2026,2026-02-13
+Friday,10,15.0,13.05.2026,2026-05-17
+Friday,11,14.7,18.04.2026,2026-04-22
+Friday,12,15.5,01.02.2026,2026-02-04
+Friday,13,15.7,01.04.2026,2026-04-02
+Friday,14,15.4,25.01.2026,2026-01-26
+Friday,15,14.0,17.05.2026,2026-05-20
+Friday,16,12.4,08.02.2026,2026-02-09
+Friday,17,9.2,03.07.2026,2026-07-03
+Friday,18,5.9,14.03.2026,2026-03-18
+Friday,19,6.6,19.01.2026,2026-01-21
+Friday,20,5.9,15.03.2026,2026-03-19
+Friday,21,14.4,22.01.2026,2026-01-25
+Friday,22,14.4,15.05.2026,2026-05-15
+Friday,23,13.5,29.06.2026,2026-07-03
+Saturday,0,14.3,08.01.2026,2026-01-10
+Saturday,1,14.4,23.02.2026,2026-02-24
+Saturday,2,13.4,24.01.2026,2026-01-26
+Saturday,3,14.3,30.06.2026,2026-07-03
+Saturday,4,13.3,26.02.2026,2026-02-28
+Saturday,5,14.2,31.05.2026,2026-06-04
+Saturday,6,14.0,03.03.2026,2026-03-03
+Saturday,7,5.2,04.05.2026,2026-05-05
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+Saturday,9,9.4,16.04.2026,2026-04-19
+Saturday,10,10.2,14.03.2026,2026-03-16
+Saturday,11,12.1,10.05.2026,2026-05-11
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+Sunday,5,14.9,23.06.2026,2026-06-27
+Sunday,6,13.6,23.04.2026,2026-04-26
+Sunday,7,6.7,20.04.2026,2026-04-24
+Sunday,8,8.8,23.06.2026,2026-06-23
+Sunday,9,8.8,13.01.2026,2026-01-17
+Sunday,10,11.1,30.06.2026,2026-07-01
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+Sunday,15,9.7,10.02.2026,2026-02-10
+Sunday,16,9.2,29.05.2026,2026-05-30
+Sunday,17,8.9,10.04.2026,2026-04-13
+Sunday,18,6.4,05.01.2026,2026-01-06
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+Sunday,20,6.0,23.05.2026,2026-05-23
+Sunday,21,12.8,09.06.2026,2026-06-13
+Sunday,22,12.7,31.03.2026,2026-04-03
+Sunday,23,12.4,21.03.2026,2026-03-21
diff --git a/agents/evals/fixtures/cases/heatmap-basic-matplotlib-decimal-comma/case.json b/agents/evals/fixtures/cases/heatmap-basic-matplotlib-decimal-comma/case.json
new file mode 100644
index 0000000000..df59e31e3c
--- /dev/null
+++ b/agents/evals/fixtures/cases/heatmap-basic-matplotlib-decimal-comma/case.json
@@ -0,0 +1,28 @@
+{
+  "spec_id": "heatmap-basic",
+  "library": "matplotlib",
+  "locale": "de",
+  "perturbation": "decimal-comma",
+  "bindings": [
+    {
+      "role": "y",
+      "column": "Weekday"
+    },
+    {
+      "role": "x",
+      "column": "Hour"
+    },
+    {
+      "role": "value",
+      "column": "Response Time (min)"
+    }
+  ],
+  "expected": "accepted",
+  "tags": [
+    "heatmap",
+    "decimal-comma",
+    "synthetic",
+    "semicolon"
+  ],
+  "source": "synthetic: agents/evals/make_fixtures.py (seed 606, decimal-comma)"
+}
diff --git a/agents/evals/fixtures/cases/heatmap-basic-matplotlib-decimal-comma/data.csv b/agents/evals/fixtures/cases/heatmap-basic-matplotlib-decimal-comma/data.csv
new file mode 100644
index 0000000000..8b23d95671
--- /dev/null
+++ b/agents/evals/fixtures/cases/heatmap-basic-matplotlib-decimal-comma/data.csv
@@ -0,0 +1,169 @@
+Weekday;Hour;Response Time (min)
+Monday;0;14,2
+Monday;1;15,3
+Monday;2;14,3
+Monday;3;14,8
+Monday;4;14,6
+Monday;5;14,8
+Monday;6;13,5
+Monday;7;8,7
+Monday;8;10,2
+Monday;9;11,4
+Monday;10;14,5
+Monday;11;16,2
+Monday;12;17,9
+Monday;13;16,8
+Monday;14;14,7
+Monday;15;13,2
+Monday;16;10,9
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diff --git a/agents/evals/fixtures/cases/heatmap-basic-matplotlib-n12/case.json b/agents/evals/fixtures/cases/heatmap-basic-matplotlib-n12/case.json
new file mode 100644
index 0000000000..2c0cb99652
--- /dev/null
+++ b/agents/evals/fixtures/cases/heatmap-basic-matplotlib-n12/case.json
@@ -0,0 +1,28 @@
+{
+  "spec_id": "heatmap-basic",
+  "library": "matplotlib",
+  "locale": "en",
+  "perturbation": "n12",
+  "bindings": [
+    {
+      "role": "y",
+      "column": "Weekday"
+    },
+    {
+      "role": "x",
+      "column": "Hour"
+    },
+    {
+      "role": "value",
+      "column": "Response Time (min)"
+    }
+  ],
+  "expected": "accepted",
+  "tags": [
+    "heatmap",
+    "n12",
+    "synthetic",
+    "small"
+  ],
+  "source": "synthetic: agents/evals/make_fixtures.py (seed 606, n12)"
+}
diff --git a/agents/evals/fixtures/cases/heatmap-basic-matplotlib-n12/data.csv b/agents/evals/fixtures/cases/heatmap-basic-matplotlib-n12/data.csv
new file mode 100644
index 0000000000..ca5beb0ecf
--- /dev/null
+++ b/agents/evals/fixtures/cases/heatmap-basic-matplotlib-n12/data.csv
@@ -0,0 +1,13 @@
+Weekday,Hour,Response Time (min)
+Monday,8,9.1
+Monday,12,16.5
+Monday,16,10.8
+Monday,20,4.8
+Wednesday,8,10.9
+Wednesday,12,18.3
+Wednesday,16,11.6
+Wednesday,20,5.5
+Friday,8,10.8
+Friday,12,17.4
+Friday,16,11.9
+Friday,20,4.9
diff --git a/agents/evals/fixtures/cases/heatmap-basic-matplotlib-n5000/case.json b/agents/evals/fixtures/cases/heatmap-basic-matplotlib-n5000/case.json
new file mode 100644
index 0000000000..bf13bf7f1d
--- /dev/null
+++ b/agents/evals/fixtures/cases/heatmap-basic-matplotlib-n5000/case.json
@@ -0,0 +1,29 @@
+{
+  "spec_id": "heatmap-basic",
+  "library": "matplotlib",
+  "locale": "en",
+  "perturbation": "n5000",
+  "bindings": [
+    {
+      "role": "y",
+      "column": "Weekday"
+    },
+    {
+      "role": "x",
+      "column": "Hour"
+    },
+    {
+      "role": "value",
+      "column": "Response Time (min)"
+    }
+  ],
+  "expected": "accepted",
+  "tags": [
+    "heatmap",
+    "n5000",
+    "synthetic",
+    "large",
+    "aggregation"
+  ],
+  "source": "synthetic: agents/evals/make_fixtures.py (seed 606, n5000)"
+}
diff --git a/agents/evals/fixtures/cases/heatmap-basic-matplotlib-n5000/data.csv b/agents/evals/fixtures/cases/heatmap-basic-matplotlib-n5000/data.csv
new file mode 100644
index 0000000000..37329786f7
--- /dev/null
+++ b/agents/evals/fixtures/cases/heatmap-basic-matplotlib-n5000/data.csv
@@ -0,0 +1,5001 @@
+Weekday,Hour,Response Time (min)
+Friday,17,18.0
+Monday,20,6.2
+Wednesday,10,10.0
+Wednesday,7,9.5
+Wednesday,19,3.7
+Thursday,8,24.6
+Sunday,15,3.3
+Friday,5,59.2
+Sunday,16,8.2
+Friday,15,3.4
+Sunday,17,10.6
+Sunday,12,8.6
+Friday,20,2.6
+Tuesday,18,3.0
+Thursday,20,9.2
+Friday,6,43.2
+Saturday,18,10.5
+Thursday,10,57.3
+Friday,12,25.6
+Monday,21,15.0
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+Friday,10,50.4
+Monday,7,4.1
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+Saturday,13,13.0
+Sunday,8,3.9
+Friday,11,21.0
+Wednesday,21,17.4
+Monday,8,30.5
+Sunday,7,4.0
+Wednesday,12,17.1
+Saturday,8,0.5
+Thursday,12,24.5
+Wednesday,18,7.1
+Sunday,3,10.6
+Friday,18,4.4
+Friday,18,3.8
+Friday,15,27.1
+Friday,7,6.5
+Saturday,17,5.5
+Thursday,14,12.5
+Monday,19,3.3
+Monday,20,8.1
+Thursday,14,38.2
+Wednesday,2,12.4
+Monday,19,6.4
+Thursday,9,2.9
+Sunday,5,2.1
+Wednesday,20,3.6
+Saturday,0,15.5
+Wednesday,17,31.3
+Tuesday,20,5.5
+Tuesday,12,6.4
+Thursday,1,22.6
+Wednesday,7,8.1
+Monday,17,5.3
+Wednesday,11,25.0
+Thursday,19,1.6
+Wednesday,13,27.8
+Monday,20,6.9
+Thursday,13,9.7
+Tuesday,18,1.9
+Tuesday,19,1.8
+Saturday,1,16.2
+Wednesday,10,32.6
+Thursday,7,4.8
+Wednesday,8,9.1
+Monday,19,2.3
+Saturday,18,3.9
+Thursday,20,3.7
+Saturday,13,8.4
+Tuesday,20,10.0
+Monday,10,9.7
+Wednesday,23,5.0
+Saturday,18,9.9
+Friday,13,11.6
+Thursday,16,16.0
+Friday,16,17.0
+Friday,11,21.5
+Monday,15,6.2
+Sunday,8,2.7
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+Saturday,12,26.9
+Friday,9,38.9
+Friday,14,11.8
+Thursday,19,6.1
+Saturday,12,8.2
+Tuesday,21,8.2
+Saturday,20,2.0
+Sunday,13,11.4
+Tuesday,12,18.2
+Sunday,11,8.2
+Friday,20,8.7
+Saturday,21,6.2
+Saturday,10,24.2
+Friday,6,20.1
+Sunday,22,12.6
+Sunday,17,6.1
+Wednesday,13,6.6
+Thursday,20,4.3
+Saturday,12,2.3
+Sunday,18,4.2
+Tuesday,9,14.1
+Tuesday,12,3.6
+Thursday,10,9.2
+Wednesday,10,4.3
+Thursday,2,3.1
+Friday,12,13.8
+Tuesday,13,12.2
+Monday,10,18.7
+Tuesday,20,6.2
+Thursday,7,5.8
+Wednesday,9,17.6
+Friday,21,4.0
+Tuesday,14,12.0
+Wednesday,17,10.6
+Thursday,0,15.1
+Wednesday,16,10.8
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+Saturday,8,1.8
+Friday,12,12.2
+Wednesday,7,8.2
+Friday,12,15.4
+Monday,2,5.8
+Thursday,8,10.2
+Wednesday,16,15.1
+Sunday,5,1.5
+Monday,9,6.0
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+Monday,11,5.8
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+Monday,13,6.8
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+Thursday,15,5.7
+Saturday,11,18.6
+Wednesday,16,16.3
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+Thursday,5,64.0
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+Friday,9,9.5
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+Tuesday,12,28.6
+Monday,15,17.7
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+Tuesday,7,13.9
+Tuesday,18,8.3
+Tuesday,7,0.8
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+Saturday,1,22.8
+Tuesday,16,17.7
+Sunday,9,7.1
+Wednesday,7,13.5
+Sunday,0,5.5
+Thursday,9,7.8
+Sunday,19,8.3
+Sunday,0,2.5
+Saturday,17,12.3
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+Saturday,15,2.8
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+Wednesday,9,6.0
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+Wednesday,12,12.5
+Thursday,17,8.9
+Thursday,10,4.7
+Thursday,9,48.3
+Tuesday,20,4.2
+Friday,9,18.3
+Tuesday,10,10.4
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+Friday,19,4.3
+Friday,17,2.9
+Sunday,11,10.1
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+Sunday,20,5.4
+Thursday,3,12.2
+Sunday,13,14.1
+Tuesday,7,12.3
+Monday,16,1.3
+Thursday,23,8.4
+Monday,10,11.7
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+Sunday,10,22.6
+Tuesday,20,7.1
+Thursday,16,17.5
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+Sunday,22,22.5
+Thursday,17,10.8
+Sunday,19,10.8
+Tuesday,10,17.5
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+Friday,10,19.0
+Thursday,13,11.5
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+Thursday,17,5.4
+Tuesday,10,25.9
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+Wednesday,9,11.1
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+Thursday,13,17.4
+Monday,18,5.3
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+Thursday,9,16.8
+Wednesday,12,22.3
+Saturday,11,2.8
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+Sunday,15,14.2
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+Tuesday,9,3.8
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+Tuesday,11,2.4
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+Friday,17,19.0
+Tuesday,12,8.9
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+Thursday,15,2.0
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+Saturday,13,9.5
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+Sunday,10,3.0
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+Friday,0,16.3
+Friday,19,3.0
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+Monday,10,0.8
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+Tuesday,12,6.4
+Thursday,14,5.1
+Friday,7,8.2
+Monday,12,14.8
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+Sunday,15,14.3
+Thursday,14,10.2
+Wednesday,2,24.7
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+Friday,17,3.4
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+Wednesday,11,30.9
+Wednesday,12,23.1
+Saturday,14,9.1
+Wednesday,15,17.7
+Friday,22,11.4
+Friday,20,6.3
+Wednesday,3,2.5
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+Sunday,10,6.3
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+Tuesday,13,20.0
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+Friday,20,5.2
+Monday,19,7.6
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+Wednesday,7,1.4
+Monday,17,3.1
+Friday,11,19.2
+Tuesday,5,33.4
+Saturday,3,4.8
+Friday,18,6.8
+Monday,7,21.4
+Wednesday,13,5.7
+Thursday,15,18.1
+Sunday,16,4.8
+Friday,8,13.4
+Saturday,11,5.1
+Tuesday,8,7.8
+Wednesday,6,11.1
+Thursday,0,2.1
+Sunday,12,13.6
+Friday,23,2.0
+Tuesday,17,3.7
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+Tuesday,20,7.3
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+Tuesday,23,5.7
+Saturday,14,0.7
+Thursday,8,13.6
+Sunday,19,12.0
+Saturday,12,6.5
+Wednesday,23,3.3
+Monday,20,0.3
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+Monday,19,2.6
+Thursday,17,8.3
+Wednesday,8,33.0
+Tuesday,15,8.6
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+Tuesday,11,3.4
+Tuesday,11,5.4
+Tuesday,13,6.9
+Sunday,8,2.2
+Sunday,17,4.0
+Monday,8,6.7
+Sunday,16,8.4
+Monday,11,30.7
+Friday,7,7.7
+Friday,11,4.8
+Sunday,17,2.1
+Tuesday,12,27.1
+Sunday,3,8.8
+Monday,23,15.1
+Tuesday,13,13.3
+Wednesday,1,5.5
+Tuesday,9,9.2
+Saturday,11,15.2
+Tuesday,7,4.5
+Wednesday,12,3.7
+Tuesday,12,13.4
+Monday,16,11.3
+Saturday,11,30.3
+Monday,20,17.8
+Monday,18,5.7
+Monday,7,5.9
+Saturday,12,15.1
+Thursday,9,10.2
diff --git a/agents/evals/fixtures/cases/heatmap-basic-matplotlib-renamed/case.json b/agents/evals/fixtures/cases/heatmap-basic-matplotlib-renamed/case.json
new file mode 100644
index 0000000000..6a4d0701fe
--- /dev/null
+++ b/agents/evals/fixtures/cases/heatmap-basic-matplotlib-renamed/case.json
@@ -0,0 +1,29 @@
+{
+  "spec_id": "heatmap-basic",
+  "library": "matplotlib",
+  "locale": "de",
+  "perturbation": "renamed",
+  "bindings": [
+    {
+      "role": "y",
+      "column": "Wochentag"
+    },
+    {
+      "role": "x",
+      "column": "Stunde"
+    },
+    {
+      "role": "value",
+      "column": "Antwortzeit Ø (min)"
+    }
+  ],
+  "expected": "accepted",
+  "tags": [
+    "heatmap",
+    "renamed",
+    "synthetic",
+    "renamed-headers",
+    "non-ascii-headers"
+  ],
+  "source": "synthetic: agents/evals/make_fixtures.py (seed 606, renamed)"
+}
diff --git a/agents/evals/fixtures/cases/heatmap-basic-matplotlib-renamed/data.csv b/agents/evals/fixtures/cases/heatmap-basic-matplotlib-renamed/data.csv
new file mode 100644
index 0000000000..9ecbdd0a6d
--- /dev/null
+++ b/agents/evals/fixtures/cases/heatmap-basic-matplotlib-renamed/data.csv
@@ -0,0 +1,169 @@
+Wochentag,Stunde,Antwortzeit Ø (min)
+Monday,0,14.2
+Monday,1,15.3
+Monday,2,14.3
+Monday,3,14.8
+Monday,4,14.6
+Monday,5,14.8
+Monday,6,13.5
+Monday,7,8.7
+Monday,8,10.2
+Monday,9,11.4
+Monday,10,14.5
+Monday,11,16.2
+Monday,12,17.9
+Monday,13,16.8
+Monday,14,14.7
+Monday,15,13.2
+Monday,16,10.9
+Monday,17,8.6
+Monday,18,6.9
+Monday,19,6.0
+Monday,20,6.5
+Monday,21,13.8
+Monday,22,13.1
+Monday,23,14.4
+Tuesday,0,14.2
+Tuesday,1,13.3
+Tuesday,2,13.6
+Tuesday,3,14.8
+Tuesday,4,14.2
+Tuesday,5,14.2
+Tuesday,6,14.2
+Tuesday,7,6.7
+Tuesday,8,9.5
+Tuesday,9,13.2
+Tuesday,10,15.7
+Tuesday,11,17.4
+Tuesday,12,18.2
+Tuesday,13,16.1
+Tuesday,14,15.4
+Tuesday,15,13.5
+Tuesday,16,12.0
+Tuesday,17,9.8
+Tuesday,18,7.0
+Tuesday,19,7.1
+Tuesday,20,5.8
+Tuesday,21,14.1
+Tuesday,22,13.7
+Tuesday,23,14.3
+Wednesday,0,15.4
+Wednesday,1,14.5
+Wednesday,2,14.1
+Wednesday,3,12.6
+Wednesday,4,14.3
+Wednesday,5,13.4
+Wednesday,6,16.0
+Wednesday,7,7.4
+Wednesday,8,8.7
+Wednesday,9,11.8
+Wednesday,10,15.3
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+Wednesday,12,16.2
+Wednesday,13,15.9
+Wednesday,14,15.3
+Wednesday,15,13.4
+Wednesday,16,10.9
+Wednesday,17,10.1
+Wednesday,18,7.9
+Wednesday,19,6.0
+Wednesday,20,6.2
+Wednesday,21,13.9
+Wednesday,22,14.5
+Wednesday,23,13.2
+Thursday,0,13.0
+Thursday,1,14.3
+Thursday,2,14.4
+Thursday,3,13.6
+Thursday,4,13.9
+Thursday,5,12.9
+Thursday,6,13.6
+Thursday,7,7.7
+Thursday,8,9.5
+Thursday,9,12.8
+Thursday,10,14.7
+Thursday,11,17.0
+Thursday,12,15.3
+Thursday,13,15.7
+Thursday,14,14.7
+Thursday,15,13.1
+Thursday,16,12.0
+Thursday,17,9.4
+Thursday,18,6.7
+Thursday,19,7.3
+Thursday,20,7.8
+Thursday,21,13.4
+Thursday,22,13.8
+Thursday,23,14.0
+Friday,0,14.6
+Friday,1,14.6
+Friday,2,14.3
+Friday,3,14.8
+Friday,4,13.7
+Friday,5,13.9
+Friday,6,15.0
+Friday,7,7.6
+Friday,8,9.2
+Friday,9,12.3
+Friday,10,15.0
+Friday,11,14.7
+Friday,12,15.5
+Friday,13,15.7
+Friday,14,15.4
+Friday,15,14.0
+Friday,16,12.4
+Friday,17,9.2
+Friday,18,5.9
+Friday,19,6.6
+Friday,20,5.9
+Friday,21,14.4
+Friday,22,14.4
+Friday,23,13.5
+Saturday,0,14.3
+Saturday,1,14.4
+Saturday,2,13.4
+Saturday,3,14.3
+Saturday,4,13.3
+Saturday,5,14.2
+Saturday,6,14.0
+Saturday,7,5.2
+Saturday,8,8.2
+Saturday,9,9.4
+Saturday,10,10.2
+Saturday,11,12.1
+Saturday,12,11.9
+Saturday,13,12.1
+Saturday,14,11.1
+Saturday,15,9.6
+Saturday,16,8.6
+Saturday,17,8.3
+Saturday,18,6.6
+Saturday,19,5.6
+Saturday,20,4.0
+Saturday,21,12.9
+Saturday,22,14.1
+Saturday,23,14.2
+Sunday,0,14.9
+Sunday,1,13.9
+Sunday,2,11.5
+Sunday,3,13.8
+Sunday,4,14.2
+Sunday,5,14.9
+Sunday,6,13.6
+Sunday,7,6.7
+Sunday,8,8.8
+Sunday,9,8.8
+Sunday,10,11.1
+Sunday,11,12.1
+Sunday,12,11.0
+Sunday,13,10.3
+Sunday,14,10.7
+Sunday,15,9.7
+Sunday,16,9.2
+Sunday,17,8.9
+Sunday,18,6.4
+Sunday,19,6.9
+Sunday,20,6.0
+Sunday,21,12.8
+Sunday,22,12.7
+Sunday,23,12.4
diff --git a/agents/evals/fixtures/cases/heatmap-basic-matplotlib-x10/case.json b/agents/evals/fixtures/cases/heatmap-basic-matplotlib-x10/case.json
new file mode 100644
index 0000000000..08d7d0bc59
--- /dev/null
+++ b/agents/evals/fixtures/cases/heatmap-basic-matplotlib-x10/case.json
@@ -0,0 +1,28 @@
+{
+  "spec_id": "heatmap-basic",
+  "library": "matplotlib",
+  "locale": "en",
+  "perturbation": "x10",
+  "bindings": [
+    {
+      "role": "y",
+      "column": "Weekday"
+    },
+    {
+      "role": "x",
+      "column": "Hour"
+    },
+    {
+      "role": "value",
+      "column": "Response Time (min)"
+    }
+  ],
+  "expected": "accepted",
+  "tags": [
+    "heatmap",
+    "x10",
+    "synthetic",
+    "scaled-values"
+  ],
+  "source": "synthetic: agents/evals/make_fixtures.py (seed 606, x10)"
+}
diff --git a/agents/evals/fixtures/cases/heatmap-basic-matplotlib-x10/data.csv b/agents/evals/fixtures/cases/heatmap-basic-matplotlib-x10/data.csv
new file mode 100644
index 0000000000..0acbde41bf
--- /dev/null
+++ b/agents/evals/fixtures/cases/heatmap-basic-matplotlib-x10/data.csv
@@ -0,0 +1,169 @@
+Weekday,Hour,Response Time (min)
+Monday,0,142.1
+Monday,1,153.0
+Monday,2,142.9
+Monday,3,147.9
+Monday,4,146.3
+Monday,5,147.8
+Monday,6,134.9
+Monday,7,86.6
+Monday,8,101.7
+Monday,9,113.6
+Monday,10,145.0
+Monday,11,161.6
+Monday,12,178.7
+Monday,13,167.8
+Monday,14,147.1
+Monday,15,131.8
+Monday,16,109.1
+Monday,17,85.7
+Monday,18,69.1
+Monday,19,60.2
+Monday,20,65.4
+Monday,21,138.5
+Monday,22,131.0
+Monday,23,144.0
+Tuesday,0,141.8
+Tuesday,1,132.7
+Tuesday,2,136.2
+Tuesday,3,148.4
+Tuesday,4,142.0
+Tuesday,5,142.4
+Tuesday,6,142.2
+Tuesday,7,67.3
+Tuesday,8,94.6
+Tuesday,9,131.5
+Tuesday,10,157.5
+Tuesday,11,174.2
+Tuesday,12,181.8
+Tuesday,13,161.2
+Tuesday,14,154.4
+Tuesday,15,134.8
+Tuesday,16,120.1
+Tuesday,17,98.2
+Tuesday,18,70.2
+Tuesday,19,70.7
+Tuesday,20,57.5
+Tuesday,21,141.1
+Tuesday,22,136.7
+Tuesday,23,142.7
+Wednesday,0,153.6
+Wednesday,1,145.3
+Wednesday,2,141.1
+Wednesday,3,125.5
+Wednesday,4,142.9
+Wednesday,5,134.1
+Wednesday,6,160.3
+Wednesday,7,74.2
+Wednesday,8,87.0
+Wednesday,9,117.6
+Wednesday,10,153.1
+Wednesday,11,148.8
+Wednesday,12,162.2
+Wednesday,13,158.8
+Wednesday,14,152.9
+Wednesday,15,133.9
+Wednesday,16,109.1
+Wednesday,17,101.2
+Wednesday,18,78.6
+Wednesday,19,59.6
+Wednesday,20,62.4
+Wednesday,21,138.5
+Wednesday,22,145.5
+Wednesday,23,132.3
+Thursday,0,129.6
+Thursday,1,142.6
+Thursday,2,144.2
+Thursday,3,136.2
+Thursday,4,139.3
+Thursday,5,129.1
+Thursday,6,135.7
+Thursday,7,77.0
+Thursday,8,94.6
+Thursday,9,128.4
+Thursday,10,147.4
+Thursday,11,169.8
+Thursday,12,153.4
+Thursday,13,156.7
+Thursday,14,146.6
+Thursday,15,131.2
+Thursday,16,120.1
+Thursday,17,94.3
+Thursday,18,66.6
+Thursday,19,72.7
+Thursday,20,78.0
+Thursday,21,134.2
+Thursday,22,137.9
+Thursday,23,139.9
+Friday,0,145.6
+Friday,1,145.8
+Friday,2,143.1
+Friday,3,148.2
+Friday,4,136.9
+Friday,5,139.1
+Friday,6,150.2
+Friday,7,75.7
+Friday,8,91.6
+Friday,9,122.6
+Friday,10,150.2
+Friday,11,147.5
+Friday,12,154.8
+Friday,13,156.9
+Friday,14,154.4
+Friday,15,139.7
+Friday,16,123.6
+Friday,17,91.7
+Friday,18,59.3
+Friday,19,65.5
+Friday,20,58.6
+Friday,21,143.7
+Friday,22,143.7
+Friday,23,135.4
+Saturday,0,142.9
+Saturday,1,143.9
+Saturday,2,133.6
+Saturday,3,142.8
+Saturday,4,132.7
+Saturday,5,142.3
+Saturday,6,139.6
+Saturday,7,52.0
+Saturday,8,81.9
+Saturday,9,93.8
+Saturday,10,102.2
+Saturday,11,121.3
+Saturday,12,119.1
+Saturday,13,121.1
+Saturday,14,110.7
+Saturday,15,96.3
+Saturday,16,86.3
+Saturday,17,83.2
+Saturday,18,66.4
+Saturday,19,55.6
+Saturday,20,40.1
+Saturday,21,128.9
+Saturday,22,141.5
+Saturday,23,142.4
+Sunday,0,148.8
+Sunday,1,139.5
+Sunday,2,114.9
+Sunday,3,138.4
+Sunday,4,142.3
+Sunday,5,148.6
+Sunday,6,136.0
+Sunday,7,67.1
+Sunday,8,88.3
+Sunday,9,88.3
+Sunday,10,110.8
+Sunday,11,121.3
+Sunday,12,110.4
+Sunday,13,102.6
+Sunday,14,107.0
+Sunday,15,97.3
+Sunday,16,91.8
+Sunday,17,89.3
+Sunday,18,63.5
+Sunday,19,69.3
+Sunday,20,59.7
+Sunday,21,128.1
+Sunday,22,127.1
+Sunday,23,124.0
diff --git a/agents/evals/fixtures/cases/heatmap-basic-seaborn-date/case.json b/agents/evals/fixtures/cases/heatmap-basic-seaborn-date/case.json
new file mode 100644
index 0000000000..6957a4323c
--- /dev/null
+++ b/agents/evals/fixtures/cases/heatmap-basic-seaborn-date/case.json
@@ -0,0 +1,30 @@
+{
+  "spec_id": "heatmap-basic",
+  "library": "seaborn",
+  "locale": "en",
+  "perturbation": "date",
+  "bindings": [
+    {
+      "role": "y",
+      "column": "Weekday"
+    },
+    {
+      "role": "x",
+      "column": "Hour"
+    },
+    {
+      "role": "value",
+      "column": "Response Time (min)"
+    }
+  ],
+  "expected": "accepted",
+  "tags": [
+    "heatmap",
+    "date",
+    "synthetic",
+    "dd.mm.yyyy",
+    "iso-date",
+    "unbound-dates"
+  ],
+  "source": "synthetic: agents/evals/make_fixtures.py (seed 606, date)"
+}
diff --git a/agents/evals/fixtures/cases/heatmap-basic-seaborn-date/data.csv b/agents/evals/fixtures/cases/heatmap-basic-seaborn-date/data.csv
new file mode 100644
index 0000000000..3e75b7d7ae
--- /dev/null
+++ b/agents/evals/fixtures/cases/heatmap-basic-seaborn-date/data.csv
@@ -0,0 +1,169 @@
+Weekday,Hour,Response Time (min),Week Of,Exported On
+Monday,0,14.2,26.01.2026,2026-01-27
+Monday,1,15.3,07.01.2026,2026-01-09
+Monday,2,14.3,31.01.2026,2026-02-02
+Monday,3,14.8,08.03.2026,2026-03-12
+Monday,4,14.6,20.04.2026,2026-04-20
+Monday,5,14.8,06.04.2026,2026-04-06
+Monday,6,13.5,09.03.2026,2026-03-12
+Monday,7,8.7,11.05.2026,2026-05-12
+Monday,8,10.2,16.06.2026,2026-06-20
+Monday,9,11.4,26.04.2026,2026-04-29
+Monday,10,14.5,11.02.2026,2026-02-12
+Monday,11,16.2,10.04.2026,2026-04-14
+Monday,12,17.9,30.03.2026,2026-04-03
+Monday,13,16.8,12.03.2026,2026-03-14
+Monday,14,14.7,10.03.2026,2026-03-14
+Monday,15,13.2,14.04.2026,2026-04-16
+Monday,16,10.9,26.04.2026,2026-04-26
+Monday,17,8.6,18.05.2026,2026-05-18
+Monday,18,6.9,29.05.2026,2026-05-30
+Monday,19,6.0,23.05.2026,2026-05-23
+Monday,20,6.5,10.01.2026,2026-01-13
+Monday,21,13.8,16.02.2026,2026-02-19
+Monday,22,13.1,20.06.2026,2026-06-22
+Monday,23,14.4,29.01.2026,2026-01-31
+Tuesday,0,14.2,25.06.2026,2026-06-25
+Tuesday,1,13.3,20.02.2026,2026-02-21
+Tuesday,2,13.6,06.01.2026,2026-01-10
+Tuesday,3,14.8,12.06.2026,2026-06-12
+Tuesday,4,14.2,18.02.2026,2026-02-20
+Tuesday,5,14.2,25.03.2026,2026-03-28
+Tuesday,6,14.2,03.02.2026,2026-02-05
+Tuesday,7,6.7,10.05.2026,2026-05-12
+Tuesday,8,9.5,06.03.2026,2026-03-09
+Tuesday,9,13.2,04.05.2026,2026-05-07
+Tuesday,10,15.7,15.03.2026,2026-03-17
+Tuesday,11,17.4,22.02.2026,2026-02-23
+Tuesday,12,18.2,19.06.2026,2026-06-21
+Tuesday,13,16.1,03.06.2026,2026-06-06
+Tuesday,14,15.4,29.04.2026,2026-05-01
+Tuesday,15,13.5,05.02.2026,2026-02-08
+Tuesday,16,12.0,23.01.2026,2026-01-23
+Tuesday,17,9.8,17.05.2026,2026-05-18
+Tuesday,18,7.0,23.06.2026,2026-06-24
+Tuesday,19,7.1,04.02.2026,2026-02-05
+Tuesday,20,5.8,04.04.2026,2026-04-04
+Tuesday,21,14.1,03.03.2026,2026-03-03
+Tuesday,22,13.7,26.05.2026,2026-05-27
+Tuesday,23,14.3,14.02.2026,2026-02-18
+Wednesday,0,15.4,24.03.2026,2026-03-25
+Wednesday,1,14.5,31.01.2026,2026-01-31
+Wednesday,2,14.1,05.01.2026,2026-01-05
+Wednesday,3,12.6,25.04.2026,2026-04-26
+Wednesday,4,14.3,26.06.2026,2026-06-30
+Wednesday,5,13.4,07.05.2026,2026-05-09
+Wednesday,6,16.0,18.03.2026,2026-03-18
+Wednesday,7,7.4,15.05.2026,2026-05-15
+Wednesday,8,8.7,07.05.2026,2026-05-11
+Wednesday,9,11.8,24.02.2026,2026-02-27
+Wednesday,10,15.3,08.02.2026,2026-02-12
+Wednesday,11,14.9,25.05.2026,2026-05-26
+Wednesday,12,16.2,10.02.2026,2026-02-11
+Wednesday,13,15.9,02.05.2026,2026-05-05
+Wednesday,14,15.3,24.06.2026,2026-06-25
+Wednesday,15,13.4,20.05.2026,2026-05-22
+Wednesday,16,10.9,08.05.2026,2026-05-11
+Wednesday,17,10.1,20.02.2026,2026-02-24
+Wednesday,18,7.9,11.01.2026,2026-01-11
+Wednesday,19,6.0,20.05.2026,2026-05-24
+Wednesday,20,6.2,03.03.2026,2026-03-03
+Wednesday,21,13.9,06.04.2026,2026-04-08
+Wednesday,22,14.5,16.01.2026,2026-01-19
+Wednesday,23,13.2,07.01.2026,2026-01-10
+Thursday,0,13.0,25.05.2026,2026-05-26
+Thursday,1,14.3,27.01.2026,2026-01-29
+Thursday,2,14.4,19.03.2026,2026-03-23
+Thursday,3,13.6,27.03.2026,2026-03-30
+Thursday,4,13.9,28.02.2026,2026-03-02
+Thursday,5,12.9,11.04.2026,2026-04-15
+Thursday,6,13.6,26.03.2026,2026-03-26
+Thursday,7,7.7,15.02.2026,2026-02-16
+Thursday,8,9.5,19.03.2026,2026-03-20
+Thursday,9,12.8,15.05.2026,2026-05-15
+Thursday,10,14.7,15.05.2026,2026-05-17
+Thursday,11,17.0,12.01.2026,2026-01-13
+Thursday,12,15.3,21.01.2026,2026-01-23
+Thursday,13,15.7,23.02.2026,2026-02-23
+Thursday,14,14.7,28.05.2026,2026-05-31
+Thursday,15,13.1,25.02.2026,2026-02-27
+Thursday,16,12.0,19.05.2026,2026-05-19
+Thursday,17,9.4,15.05.2026,2026-05-15
+Thursday,18,6.7,08.03.2026,2026-03-12
+Thursday,19,7.3,06.04.2026,2026-04-07
+Thursday,20,7.8,06.04.2026,2026-04-07
+Thursday,21,13.4,12.04.2026,2026-04-14
+Thursday,22,13.8,18.02.2026,2026-02-21
+Thursday,23,14.0,10.06.2026,2026-06-11
+Friday,0,14.6,28.03.2026,2026-04-01
+Friday,1,14.6,25.01.2026,2026-01-28
+Friday,2,14.3,02.06.2026,2026-06-06
+Friday,3,14.8,07.06.2026,2026-06-09
+Friday,4,13.7,08.01.2026,2026-01-10
+Friday,5,13.9,09.04.2026,2026-04-11
+Friday,6,15.0,09.04.2026,2026-04-10
+Friday,7,7.6,02.03.2026,2026-03-02
+Friday,8,9.2,29.04.2026,2026-05-03
+Friday,9,12.3,12.02.2026,2026-02-13
+Friday,10,15.0,13.05.2026,2026-05-17
+Friday,11,14.7,18.04.2026,2026-04-22
+Friday,12,15.5,01.02.2026,2026-02-04
+Friday,13,15.7,01.04.2026,2026-04-02
+Friday,14,15.4,25.01.2026,2026-01-26
+Friday,15,14.0,17.05.2026,2026-05-20
+Friday,16,12.4,08.02.2026,2026-02-09
+Friday,17,9.2,03.07.2026,2026-07-03
+Friday,18,5.9,14.03.2026,2026-03-18
+Friday,19,6.6,19.01.2026,2026-01-21
+Friday,20,5.9,15.03.2026,2026-03-19
+Friday,21,14.4,22.01.2026,2026-01-25
+Friday,22,14.4,15.05.2026,2026-05-15
+Friday,23,13.5,29.06.2026,2026-07-03
+Saturday,0,14.3,08.01.2026,2026-01-10
+Saturday,1,14.4,23.02.2026,2026-02-24
+Saturday,2,13.4,24.01.2026,2026-01-26
+Saturday,3,14.3,30.06.2026,2026-07-03
+Saturday,4,13.3,26.02.2026,2026-02-28
+Saturday,5,14.2,31.05.2026,2026-06-04
+Saturday,6,14.0,03.03.2026,2026-03-03
+Saturday,7,5.2,04.05.2026,2026-05-05
+Saturday,8,8.2,15.03.2026,2026-03-19
+Saturday,9,9.4,16.04.2026,2026-04-19
+Saturday,10,10.2,14.03.2026,2026-03-16
+Saturday,11,12.1,10.05.2026,2026-05-11
+Saturday,12,11.9,24.04.2026,2026-04-25
+Saturday,13,12.1,04.06.2026,2026-06-08
+Saturday,14,11.1,31.05.2026,2026-06-04
+Saturday,15,9.6,02.03.2026,2026-03-02
+Saturday,16,8.6,16.03.2026,2026-03-20
+Saturday,17,8.3,28.05.2026,2026-05-29
+Saturday,18,6.6,13.01.2026,2026-01-14
+Saturday,19,5.6,26.02.2026,2026-03-02
+Saturday,20,4.0,28.04.2026,2026-05-01
+Saturday,21,12.9,23.03.2026,2026-03-25
+Saturday,22,14.1,08.03.2026,2026-03-10
+Saturday,23,14.2,19.03.2026,2026-03-21
+Sunday,0,14.9,11.05.2026,2026-05-14
+Sunday,1,13.9,05.05.2026,2026-05-09
+Sunday,2,11.5,26.04.2026,2026-04-29
+Sunday,3,13.8,10.03.2026,2026-03-12
+Sunday,4,14.2,28.04.2026,2026-05-01
+Sunday,5,14.9,23.06.2026,2026-06-27
+Sunday,6,13.6,23.04.2026,2026-04-26
+Sunday,7,6.7,20.04.2026,2026-04-24
+Sunday,8,8.8,23.06.2026,2026-06-23
+Sunday,9,8.8,13.01.2026,2026-01-17
+Sunday,10,11.1,30.06.2026,2026-07-01
+Sunday,11,12.1,16.06.2026,2026-06-18
+Sunday,12,11.0,11.02.2026,2026-02-14
+Sunday,13,10.3,29.03.2026,2026-03-29
+Sunday,14,10.7,06.02.2026,2026-02-06
+Sunday,15,9.7,10.02.2026,2026-02-10
+Sunday,16,9.2,29.05.2026,2026-05-30
+Sunday,17,8.9,10.04.2026,2026-04-13
+Sunday,18,6.4,05.01.2026,2026-01-06
+Sunday,19,6.9,01.03.2026,2026-03-05
+Sunday,20,6.0,23.05.2026,2026-05-23
+Sunday,21,12.8,09.06.2026,2026-06-13
+Sunday,22,12.7,31.03.2026,2026-04-03
+Sunday,23,12.4,21.03.2026,2026-03-21
diff --git a/agents/evals/fixtures/cases/heatmap-basic-seaborn-decimal-comma/case.json b/agents/evals/fixtures/cases/heatmap-basic-seaborn-decimal-comma/case.json
new file mode 100644
index 0000000000..8852ff8c01
--- /dev/null
+++ b/agents/evals/fixtures/cases/heatmap-basic-seaborn-decimal-comma/case.json
@@ -0,0 +1,29 @@
+{
+  "spec_id": "heatmap-basic",
+  "library": "seaborn",
+  "locale": "de",
+  "perturbation": "decimal-comma",
+  "bindings": [
+    {
+      "role": "y",
+      "column": "Weekday"
+    },
+    {
+      "role": "x",
+      "column": "Hour"
+    },
+    {
+      "role": "value",
+      "column": "Response Time (min)"
+    }
+  ],
+  "expected": "accepted",
+  "tags": [
+    "heatmap",
+    "decimal-comma",
+    "synthetic",
+    "semicolon",
+    "smoke"
+  ],
+  "source": "synthetic: agents/evals/make_fixtures.py (seed 606, decimal-comma)"
+}
diff --git a/agents/evals/fixtures/cases/heatmap-basic-seaborn-decimal-comma/data.csv b/agents/evals/fixtures/cases/heatmap-basic-seaborn-decimal-comma/data.csv
new file mode 100644
index 0000000000..8b23d95671
--- /dev/null
+++ b/agents/evals/fixtures/cases/heatmap-basic-seaborn-decimal-comma/data.csv
@@ -0,0 +1,169 @@
+Weekday;Hour;Response Time (min)
+Monday;0;14,2
+Monday;1;15,3
+Monday;2;14,3
+Monday;3;14,8
+Monday;4;14,6
+Monday;5;14,8
+Monday;6;13,5
+Monday;7;8,7
+Monday;8;10,2
+Monday;9;11,4
+Monday;10;14,5
+Monday;11;16,2
+Monday;12;17,9
+Monday;13;16,8
+Monday;14;14,7
+Monday;15;13,2
+Monday;16;10,9
+Monday;17;8,6
+Monday;18;6,9
+Monday;19;6,0
+Monday;20;6,5
+Monday;21;13,8
+Monday;22;13,1
+Monday;23;14,4
+Tuesday;0;14,2
+Tuesday;1;13,3
+Tuesday;2;13,6
+Tuesday;3;14,8
+Tuesday;4;14,2
+Tuesday;5;14,2
+Tuesday;6;14,2
+Tuesday;7;6,7
+Tuesday;8;9,5
+Tuesday;9;13,2
+Tuesday;10;15,7
+Tuesday;11;17,4
+Tuesday;12;18,2
+Tuesday;13;16,1
+Tuesday;14;15,4
+Tuesday;15;13,5
+Tuesday;16;12,0
+Tuesday;17;9,8
+Tuesday;18;7,0
+Tuesday;19;7,1
+Tuesday;20;5,8
+Tuesday;21;14,1
+Tuesday;22;13,7
+Tuesday;23;14,3
+Wednesday;0;15,4
+Wednesday;1;14,5
+Wednesday;2;14,1
+Wednesday;3;12,6
+Wednesday;4;14,3
+Wednesday;5;13,4
+Wednesday;6;16,0
+Wednesday;7;7,4
+Wednesday;8;8,7
+Wednesday;9;11,8
+Wednesday;10;15,3
+Wednesday;11;14,9
+Wednesday;12;16,2
+Wednesday;13;15,9
+Wednesday;14;15,3
+Wednesday;15;13,4
+Wednesday;16;10,9
+Wednesday;17;10,1
+Wednesday;18;7,9
+Wednesday;19;6,0
+Wednesday;20;6,2
+Wednesday;21;13,9
+Wednesday;22;14,5
+Wednesday;23;13,2
+Thursday;0;13,0
+Thursday;1;14,3
+Thursday;2;14,4
+Thursday;3;13,6
+Thursday;4;13,9
+Thursday;5;12,9
+Thursday;6;13,6
+Thursday;7;7,7
+Thursday;8;9,5
+Thursday;9;12,8
+Thursday;10;14,7
+Thursday;11;17,0
+Thursday;12;15,3
+Thursday;13;15,7
+Thursday;14;14,7
+Thursday;15;13,1
+Thursday;16;12,0
+Thursday;17;9,4
+Thursday;18;6,7
+Thursday;19;7,3
+Thursday;20;7,8
+Thursday;21;13,4
+Thursday;22;13,8
+Thursday;23;14,0
+Friday;0;14,6
+Friday;1;14,6
+Friday;2;14,3
+Friday;3;14,8
+Friday;4;13,7
+Friday;5;13,9
+Friday;6;15,0
+Friday;7;7,6
+Friday;8;9,2
+Friday;9;12,3
+Friday;10;15,0
+Friday;11;14,7
+Friday;12;15,5
+Friday;13;15,7
+Friday;14;15,4
+Friday;15;14,0
+Friday;16;12,4
+Friday;17;9,2
+Friday;18;5,9
+Friday;19;6,6
+Friday;20;5,9
+Friday;21;14,4
+Friday;22;14,4
+Friday;23;13,5
+Saturday;0;14,3
+Saturday;1;14,4
+Saturday;2;13,4
+Saturday;3;14,3
+Saturday;4;13,3
+Saturday;5;14,2
+Saturday;6;14,0
+Saturday;7;5,2
+Saturday;8;8,2
+Saturday;9;9,4
+Saturday;10;10,2
+Saturday;11;12,1
+Saturday;12;11,9
+Saturday;13;12,1
+Saturday;14;11,1
+Saturday;15;9,6
+Saturday;16;8,6
+Saturday;17;8,3
+Saturday;18;6,6
+Saturday;19;5,6
+Saturday;20;4,0
+Saturday;21;12,9
+Saturday;22;14,1
+Saturday;23;14,2
+Sunday;0;14,9
+Sunday;1;13,9
+Sunday;2;11,5
+Sunday;3;13,8
+Sunday;4;14,2
+Sunday;5;14,9
+Sunday;6;13,6
+Sunday;7;6,7
+Sunday;8;8,8
+Sunday;9;8,8
+Sunday;10;11,1
+Sunday;11;12,1
+Sunday;12;11,0
+Sunday;13;10,3
+Sunday;14;10,7
+Sunday;15;9,7
+Sunday;16;9,2
+Sunday;17;8,9
+Sunday;18;6,4
+Sunday;19;6,9
+Sunday;20;6,0
+Sunday;21;12,8
+Sunday;22;12,7
+Sunday;23;12,4
diff --git a/agents/evals/fixtures/cases/heatmap-basic-seaborn-n12/case.json b/agents/evals/fixtures/cases/heatmap-basic-seaborn-n12/case.json
new file mode 100644
index 0000000000..e03fbd4638
--- /dev/null
+++ b/agents/evals/fixtures/cases/heatmap-basic-seaborn-n12/case.json
@@ -0,0 +1,28 @@
+{
+  "spec_id": "heatmap-basic",
+  "library": "seaborn",
+  "locale": "en",
+  "perturbation": "n12",
+  "bindings": [
+    {
+      "role": "y",
+      "column": "Weekday"
+    },
+    {
+      "role": "x",
+      "column": "Hour"
+    },
+    {
+      "role": "value",
+      "column": "Response Time (min)"
+    }
+  ],
+  "expected": "accepted",
+  "tags": [
+    "heatmap",
+    "n12",
+    "synthetic",
+    "small"
+  ],
+  "source": "synthetic: agents/evals/make_fixtures.py (seed 606, n12)"
+}
diff --git a/agents/evals/fixtures/cases/heatmap-basic-seaborn-n12/data.csv b/agents/evals/fixtures/cases/heatmap-basic-seaborn-n12/data.csv
new file mode 100644
index 0000000000..ca5beb0ecf
--- /dev/null
+++ b/agents/evals/fixtures/cases/heatmap-basic-seaborn-n12/data.csv
@@ -0,0 +1,13 @@
+Weekday,Hour,Response Time (min)
+Monday,8,9.1
+Monday,12,16.5
+Monday,16,10.8
+Monday,20,4.8
+Wednesday,8,10.9
+Wednesday,12,18.3
+Wednesday,16,11.6
+Wednesday,20,5.5
+Friday,8,10.8
+Friday,12,17.4
+Friday,16,11.9
+Friday,20,4.9
diff --git a/agents/evals/fixtures/cases/heatmap-basic-seaborn-n5000/case.json b/agents/evals/fixtures/cases/heatmap-basic-seaborn-n5000/case.json
new file mode 100644
index 0000000000..0b6baf8db0
--- /dev/null
+++ b/agents/evals/fixtures/cases/heatmap-basic-seaborn-n5000/case.json
@@ -0,0 +1,29 @@
+{
+  "spec_id": "heatmap-basic",
+  "library": "seaborn",
+  "locale": "en",
+  "perturbation": "n5000",
+  "bindings": [
+    {
+      "role": "y",
+      "column": "Weekday"
+    },
+    {
+      "role": "x",
+      "column": "Hour"
+    },
+    {
+      "role": "value",
+      "column": "Response Time (min)"
+    }
+  ],
+  "expected": "accepted",
+  "tags": [
+    "heatmap",
+    "n5000",
+    "synthetic",
+    "large",
+    "aggregation"
+  ],
+  "source": "synthetic: agents/evals/make_fixtures.py (seed 606, n5000)"
+}
diff --git a/agents/evals/fixtures/cases/heatmap-basic-seaborn-n5000/data.csv b/agents/evals/fixtures/cases/heatmap-basic-seaborn-n5000/data.csv
new file mode 100644
index 0000000000..37329786f7
--- /dev/null
+++ b/agents/evals/fixtures/cases/heatmap-basic-seaborn-n5000/data.csv
@@ -0,0 +1,5001 @@
+Weekday,Hour,Response Time (min)
+Friday,17,18.0
+Monday,20,6.2
+Wednesday,10,10.0
+Wednesday,7,9.5
+Wednesday,19,3.7
+Thursday,8,24.6
+Sunday,15,3.3
+Friday,5,59.2
+Sunday,16,8.2
+Friday,15,3.4
+Sunday,17,10.6
+Sunday,12,8.6
+Friday,20,2.6
+Tuesday,18,3.0
+Thursday,20,9.2
+Friday,6,43.2
+Saturday,18,10.5
+Thursday,10,57.3
+Friday,12,25.6
+Monday,21,15.0
+Thursday,19,2.2
+Friday,10,50.4
+Monday,7,4.1
+Wednesday,14,13.3
+Monday,12,29.1
+Tuesday,10,31.2
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+Tuesday,13,20.0
+Saturday,4,10.5
+Wednesday,16,2.5
+Friday,20,5.2
+Monday,19,7.6
+Monday,19,8.4
+Sunday,2,7.1
+Wednesday,7,1.4
+Monday,17,3.1
+Friday,11,19.2
+Tuesday,5,33.4
+Saturday,3,4.8
+Friday,18,6.8
+Monday,7,21.4
+Wednesday,13,5.7
+Thursday,15,18.1
+Sunday,16,4.8
+Friday,8,13.4
+Saturday,11,5.1
+Tuesday,8,7.8
+Wednesday,6,11.1
+Thursday,0,2.1
+Sunday,12,13.6
+Friday,23,2.0
+Tuesday,17,3.7
+Monday,18,4.8
+Wednesday,0,16.2
+Tuesday,10,4.8
+Tuesday,20,7.3
+Sunday,18,2.7
+Tuesday,23,5.7
+Saturday,14,0.7
+Thursday,8,13.6
+Sunday,19,12.0
+Saturday,12,6.5
+Wednesday,23,3.3
+Monday,20,0.3
+Monday,8,3.9
+Sunday,11,16.2
+Monday,19,2.6
+Thursday,17,8.3
+Wednesday,8,33.0
+Tuesday,15,8.6
+Wednesday,8,3.2
+Tuesday,11,3.4
+Tuesday,11,5.4
+Tuesday,13,6.9
+Sunday,8,2.2
+Sunday,17,4.0
+Monday,8,6.7
+Sunday,16,8.4
+Monday,11,30.7
+Friday,7,7.7
+Friday,11,4.8
+Sunday,17,2.1
+Tuesday,12,27.1
+Sunday,3,8.8
+Monday,23,15.1
+Tuesday,13,13.3
+Wednesday,1,5.5
+Tuesday,9,9.2
+Saturday,11,15.2
+Tuesday,7,4.5
+Wednesday,12,3.7
+Tuesday,12,13.4
+Monday,16,11.3
+Saturday,11,30.3
+Monday,20,17.8
+Monday,18,5.7
+Monday,7,5.9
+Saturday,12,15.1
+Thursday,9,10.2
diff --git a/agents/evals/fixtures/cases/heatmap-basic-seaborn-renamed/case.json b/agents/evals/fixtures/cases/heatmap-basic-seaborn-renamed/case.json
new file mode 100644
index 0000000000..071399a4b2
--- /dev/null
+++ b/agents/evals/fixtures/cases/heatmap-basic-seaborn-renamed/case.json
@@ -0,0 +1,29 @@
+{
+  "spec_id": "heatmap-basic",
+  "library": "seaborn",
+  "locale": "de",
+  "perturbation": "renamed",
+  "bindings": [
+    {
+      "role": "y",
+      "column": "Wochentag"
+    },
+    {
+      "role": "x",
+      "column": "Stunde"
+    },
+    {
+      "role": "value",
+      "column": "Antwortzeit Ø (min)"
+    }
+  ],
+  "expected": "accepted",
+  "tags": [
+    "heatmap",
+    "renamed",
+    "synthetic",
+    "renamed-headers",
+    "non-ascii-headers"
+  ],
+  "source": "synthetic: agents/evals/make_fixtures.py (seed 606, renamed)"
+}
diff --git a/agents/evals/fixtures/cases/heatmap-basic-seaborn-renamed/data.csv b/agents/evals/fixtures/cases/heatmap-basic-seaborn-renamed/data.csv
new file mode 100644
index 0000000000..9ecbdd0a6d
--- /dev/null
+++ b/agents/evals/fixtures/cases/heatmap-basic-seaborn-renamed/data.csv
@@ -0,0 +1,169 @@
+Wochentag,Stunde,Antwortzeit Ø (min)
+Monday,0,14.2
+Monday,1,15.3
+Monday,2,14.3
+Monday,3,14.8
+Monday,4,14.6
+Monday,5,14.8
+Monday,6,13.5
+Monday,7,8.7
+Monday,8,10.2
+Monday,9,11.4
+Monday,10,14.5
+Monday,11,16.2
+Monday,12,17.9
+Monday,13,16.8
+Monday,14,14.7
+Monday,15,13.2
+Monday,16,10.9
+Monday,17,8.6
+Monday,18,6.9
+Monday,19,6.0
+Monday,20,6.5
+Monday,21,13.8
+Monday,22,13.1
+Monday,23,14.4
+Tuesday,0,14.2
+Tuesday,1,13.3
+Tuesday,2,13.6
+Tuesday,3,14.8
+Tuesday,4,14.2
+Tuesday,5,14.2
+Tuesday,6,14.2
+Tuesday,7,6.7
+Tuesday,8,9.5
+Tuesday,9,13.2
+Tuesday,10,15.7
+Tuesday,11,17.4
+Tuesday,12,18.2
+Tuesday,13,16.1
+Tuesday,14,15.4
+Tuesday,15,13.5
+Tuesday,16,12.0
+Tuesday,17,9.8
+Tuesday,18,7.0
+Tuesday,19,7.1
+Tuesday,20,5.8
+Tuesday,21,14.1
+Tuesday,22,13.7
+Tuesday,23,14.3
+Wednesday,0,15.4
+Wednesday,1,14.5
+Wednesday,2,14.1
+Wednesday,3,12.6
+Wednesday,4,14.3
+Wednesday,5,13.4
+Wednesday,6,16.0
+Wednesday,7,7.4
+Wednesday,8,8.7
+Wednesday,9,11.8
+Wednesday,10,15.3
+Wednesday,11,14.9
+Wednesday,12,16.2
+Wednesday,13,15.9
+Wednesday,14,15.3
+Wednesday,15,13.4
+Wednesday,16,10.9
+Wednesday,17,10.1
+Wednesday,18,7.9
+Wednesday,19,6.0
+Wednesday,20,6.2
+Wednesday,21,13.9
+Wednesday,22,14.5
+Wednesday,23,13.2
+Thursday,0,13.0
+Thursday,1,14.3
+Thursday,2,14.4
+Thursday,3,13.6
+Thursday,4,13.9
+Thursday,5,12.9
+Thursday,6,13.6
+Thursday,7,7.7
+Thursday,8,9.5
+Thursday,9,12.8
+Thursday,10,14.7
+Thursday,11,17.0
+Thursday,12,15.3
+Thursday,13,15.7
+Thursday,14,14.7
+Thursday,15,13.1
+Thursday,16,12.0
+Thursday,17,9.4
+Thursday,18,6.7
+Thursday,19,7.3
+Thursday,20,7.8
+Thursday,21,13.4
+Thursday,22,13.8
+Thursday,23,14.0
+Friday,0,14.6
+Friday,1,14.6
+Friday,2,14.3
+Friday,3,14.8
+Friday,4,13.7
+Friday,5,13.9
+Friday,6,15.0
+Friday,7,7.6
+Friday,8,9.2
+Friday,9,12.3
+Friday,10,15.0
+Friday,11,14.7
+Friday,12,15.5
+Friday,13,15.7
+Friday,14,15.4
+Friday,15,14.0
+Friday,16,12.4
+Friday,17,9.2
+Friday,18,5.9
+Friday,19,6.6
+Friday,20,5.9
+Friday,21,14.4
+Friday,22,14.4
+Friday,23,13.5
+Saturday,0,14.3
+Saturday,1,14.4
+Saturday,2,13.4
+Saturday,3,14.3
+Saturday,4,13.3
+Saturday,5,14.2
+Saturday,6,14.0
+Saturday,7,5.2
+Saturday,8,8.2
+Saturday,9,9.4
+Saturday,10,10.2
+Saturday,11,12.1
+Saturday,12,11.9
+Saturday,13,12.1
+Saturday,14,11.1
+Saturday,15,9.6
+Saturday,16,8.6
+Saturday,17,8.3
+Saturday,18,6.6
+Saturday,19,5.6
+Saturday,20,4.0
+Saturday,21,12.9
+Saturday,22,14.1
+Saturday,23,14.2
+Sunday,0,14.9
+Sunday,1,13.9
+Sunday,2,11.5
+Sunday,3,13.8
+Sunday,4,14.2
+Sunday,5,14.9
+Sunday,6,13.6
+Sunday,7,6.7
+Sunday,8,8.8
+Sunday,9,8.8
+Sunday,10,11.1
+Sunday,11,12.1
+Sunday,12,11.0
+Sunday,13,10.3
+Sunday,14,10.7
+Sunday,15,9.7
+Sunday,16,9.2
+Sunday,17,8.9
+Sunday,18,6.4
+Sunday,19,6.9
+Sunday,20,6.0
+Sunday,21,12.8
+Sunday,22,12.7
+Sunday,23,12.4
diff --git a/agents/evals/fixtures/cases/heatmap-basic-seaborn-x10/case.json b/agents/evals/fixtures/cases/heatmap-basic-seaborn-x10/case.json
new file mode 100644
index 0000000000..c08edefb71
--- /dev/null
+++ b/agents/evals/fixtures/cases/heatmap-basic-seaborn-x10/case.json
@@ -0,0 +1,28 @@
+{
+  "spec_id": "heatmap-basic",
+  "library": "seaborn",
+  "locale": "en",
+  "perturbation": "x10",
+  "bindings": [
+    {
+      "role": "y",
+      "column": "Weekday"
+    },
+    {
+      "role": "x",
+      "column": "Hour"
+    },
+    {
+      "role": "value",
+      "column": "Response Time (min)"
+    }
+  ],
+  "expected": "accepted",
+  "tags": [
+    "heatmap",
+    "x10",
+    "synthetic",
+    "scaled-values"
+  ],
+  "source": "synthetic: agents/evals/make_fixtures.py (seed 606, x10)"
+}
diff --git a/agents/evals/fixtures/cases/heatmap-basic-seaborn-x10/data.csv b/agents/evals/fixtures/cases/heatmap-basic-seaborn-x10/data.csv
new file mode 100644
index 0000000000..0acbde41bf
--- /dev/null
+++ b/agents/evals/fixtures/cases/heatmap-basic-seaborn-x10/data.csv
@@ -0,0 +1,169 @@
+Weekday,Hour,Response Time (min)
+Monday,0,142.1
+Monday,1,153.0
+Monday,2,142.9
+Monday,3,147.9
+Monday,4,146.3
+Monday,5,147.8
+Monday,6,134.9
+Monday,7,86.6
+Monday,8,101.7
+Monday,9,113.6
+Monday,10,145.0
+Monday,11,161.6
+Monday,12,178.7
+Monday,13,167.8
+Monday,14,147.1
+Monday,15,131.8
+Monday,16,109.1
+Monday,17,85.7
+Monday,18,69.1
+Monday,19,60.2
+Monday,20,65.4
+Monday,21,138.5
+Monday,22,131.0
+Monday,23,144.0
+Tuesday,0,141.8
+Tuesday,1,132.7
+Tuesday,2,136.2
+Tuesday,3,148.4
+Tuesday,4,142.0
+Tuesday,5,142.4
+Tuesday,6,142.2
+Tuesday,7,67.3
+Tuesday,8,94.6
+Tuesday,9,131.5
+Tuesday,10,157.5
+Tuesday,11,174.2
+Tuesday,12,181.8
+Tuesday,13,161.2
+Tuesday,14,154.4
+Tuesday,15,134.8
+Tuesday,16,120.1
+Tuesday,17,98.2
+Tuesday,18,70.2
+Tuesday,19,70.7
+Tuesday,20,57.5
+Tuesday,21,141.1
+Tuesday,22,136.7
+Tuesday,23,142.7
+Wednesday,0,153.6
+Wednesday,1,145.3
+Wednesday,2,141.1
+Wednesday,3,125.5
+Wednesday,4,142.9
+Wednesday,5,134.1
+Wednesday,6,160.3
+Wednesday,7,74.2
+Wednesday,8,87.0
+Wednesday,9,117.6
+Wednesday,10,153.1
+Wednesday,11,148.8
+Wednesday,12,162.2
+Wednesday,13,158.8
+Wednesday,14,152.9
+Wednesday,15,133.9
+Wednesday,16,109.1
+Wednesday,17,101.2
+Wednesday,18,78.6
+Wednesday,19,59.6
+Wednesday,20,62.4
+Wednesday,21,138.5
+Wednesday,22,145.5
+Wednesday,23,132.3
+Thursday,0,129.6
+Thursday,1,142.6
+Thursday,2,144.2
+Thursday,3,136.2
+Thursday,4,139.3
+Thursday,5,129.1
+Thursday,6,135.7
+Thursday,7,77.0
+Thursday,8,94.6
+Thursday,9,128.4
+Thursday,10,147.4
+Thursday,11,169.8
+Thursday,12,153.4
+Thursday,13,156.7
+Thursday,14,146.6
+Thursday,15,131.2
+Thursday,16,120.1
+Thursday,17,94.3
+Thursday,18,66.6
+Thursday,19,72.7
+Thursday,20,78.0
+Thursday,21,134.2
+Thursday,22,137.9
+Thursday,23,139.9
+Friday,0,145.6
+Friday,1,145.8
+Friday,2,143.1
+Friday,3,148.2
+Friday,4,136.9
+Friday,5,139.1
+Friday,6,150.2
+Friday,7,75.7
+Friday,8,91.6
+Friday,9,122.6
+Friday,10,150.2
+Friday,11,147.5
+Friday,12,154.8
+Friday,13,156.9
+Friday,14,154.4
+Friday,15,139.7
+Friday,16,123.6
+Friday,17,91.7
+Friday,18,59.3
+Friday,19,65.5
+Friday,20,58.6
+Friday,21,143.7
+Friday,22,143.7
+Friday,23,135.4
+Saturday,0,142.9
+Saturday,1,143.9
+Saturday,2,133.6
+Saturday,3,142.8
+Saturday,4,132.7
+Saturday,5,142.3
+Saturday,6,139.6
+Saturday,7,52.0
+Saturday,8,81.9
+Saturday,9,93.8
+Saturday,10,102.2
+Saturday,11,121.3
+Saturday,12,119.1
+Saturday,13,121.1
+Saturday,14,110.7
+Saturday,15,96.3
+Saturday,16,86.3
+Saturday,17,83.2
+Saturday,18,66.4
+Saturday,19,55.6
+Saturday,20,40.1
+Saturday,21,128.9
+Saturday,22,141.5
+Saturday,23,142.4
+Sunday,0,148.8
+Sunday,1,139.5
+Sunday,2,114.9
+Sunday,3,138.4
+Sunday,4,142.3
+Sunday,5,148.6
+Sunday,6,136.0
+Sunday,7,67.1
+Sunday,8,88.3
+Sunday,9,88.3
+Sunday,10,110.8
+Sunday,11,121.3
+Sunday,12,110.4
+Sunday,13,102.6
+Sunday,14,107.0
+Sunday,15,97.3
+Sunday,16,91.8
+Sunday,17,89.3
+Sunday,18,63.5
+Sunday,19,69.3
+Sunday,20,59.7
+Sunday,21,128.1
+Sunday,22,127.1
+Sunday,23,124.0
diff --git a/agents/evals/fixtures/cases/histogram-basic-matplotlib-date/case.json b/agents/evals/fixtures/cases/histogram-basic-matplotlib-date/case.json
new file mode 100644
index 0000000000..fa2835233a
--- /dev/null
+++ b/agents/evals/fixtures/cases/histogram-basic-matplotlib-date/case.json
@@ -0,0 +1,22 @@
+{
+  "spec_id": "histogram-basic",
+  "library": "matplotlib",
+  "locale": "en",
+  "perturbation": "date",
+  "bindings": [
+    {
+      "role": "values",
+      "column": "Delivery Time (min)"
+    }
+  ],
+  "expected": "accepted",
+  "tags": [
+    "histogram",
+    "date",
+    "synthetic",
+    "dd.mm.yyyy",
+    "iso-date",
+    "unbound-dates"
+  ],
+  "source": "synthetic: agents/evals/make_fixtures.py (seed 404, date)"
+}
diff --git a/agents/evals/fixtures/cases/histogram-basic-matplotlib-date/data.csv b/agents/evals/fixtures/cases/histogram-basic-matplotlib-date/data.csv
new file mode 100644
index 0000000000..c4a83ef442
--- /dev/null
+++ b/agents/evals/fixtures/cases/histogram-basic-matplotlib-date/data.csv
@@ -0,0 +1,401 @@
+Order ID,Delivery Time (min),Order Date,Delivered On
+O-10001,38.3,03.05.2026,2026-05-06
+O-10002,39.4,18.01.2026,2026-01-22
+O-10003,36.7,09.04.2026,2026-04-11
+O-10004,36.6,03.06.2026,2026-06-03
+O-10005,16.3,24.01.2026,2026-01-24
+O-10006,25.4,21.05.2026,2026-05-22
+O-10007,25.4,29.03.2026,2026-03-29
+O-10008,28.7,28.02.2026,2026-03-03
+O-10009,38.1,17.01.2026,2026-01-18
+O-10010,29.6,24.02.2026,2026-02-26
+O-10011,19.5,24.04.2026,2026-04-28
+O-10012,36.0,12.01.2026,2026-01-12
+O-10013,53.0,25.02.2026,2026-02-27
+O-10014,30.1,14.03.2026,2026-03-17
+O-10015,21.3,10.06.2026,2026-06-11
+O-10016,47.9,29.03.2026,2026-04-01
+O-10017,41.8,10.06.2026,2026-06-13
+O-10018,26.4,01.07.2026,2026-07-05
+O-10019,32.4,18.02.2026,2026-02-18
+O-10020,22.9,10.02.2026,2026-02-14
+O-10021,52.4,17.05.2026,2026-05-17
+O-10022,31.4,09.04.2026,2026-04-09
+O-10023,19.7,09.03.2026,2026-03-12
+O-10024,31.1,26.05.2026,2026-05-26
+O-10025,38.2,19.01.2026,2026-01-19
+O-10026,52.7,06.04.2026,2026-04-06
+O-10027,23.9,01.04.2026,2026-04-02
+O-10028,39.3,26.03.2026,2026-03-27
+O-10029,46.8,09.03.2026,2026-03-12
+O-10030,38.3,14.06.2026,2026-06-14
+O-10031,24.2,25.03.2026,2026-03-28
+O-10032,57.8,08.04.2026,2026-04-09
+O-10033,44.9,19.05.2026,2026-05-22
+O-10034,67.6,22.02.2026,2026-02-26
+O-10035,22.3,16.04.2026,2026-04-18
+O-10036,27.3,21.03.2026,2026-03-22
+O-10037,17.8,01.03.2026,2026-03-02
+O-10038,34.3,01.03.2026,2026-03-05
+O-10039,36.7,13.06.2026,2026-06-16
+O-10040,25.1,26.02.2026,2026-02-26
+O-10041,31.6,13.05.2026,2026-05-14
+O-10042,52.9,24.04.2026,2026-04-24
+O-10043,29.7,29.04.2026,2026-05-02
+O-10044,30.9,28.03.2026,2026-03-30
+O-10045,52.3,16.03.2026,2026-03-20
+O-10046,32.4,16.05.2026,2026-05-20
+O-10047,47.4,02.04.2026,2026-04-03
+O-10048,62.4,08.06.2026,2026-06-11
+O-10049,22.5,15.02.2026,2026-02-19
+O-10050,14.7,18.04.2026,2026-04-22
+O-10051,34.6,13.02.2026,2026-02-16
+O-10052,19.6,27.02.2026,2026-02-28
+O-10053,34.0,13.06.2026,2026-06-13
+O-10054,29.6,15.04.2026,2026-04-15
+O-10055,27.2,10.02.2026,2026-02-12
+O-10056,53.7,27.02.2026,2026-02-28
+O-10057,66.8,01.04.2026,2026-04-03
+O-10058,34.1,13.05.2026,2026-05-14
+O-10059,39.1,26.06.2026,2026-06-28
+O-10060,32.1,09.04.2026,2026-04-11
+O-10061,50.4,03.02.2026,2026-02-07
+O-10062,18.7,04.03.2026,2026-03-05
+O-10063,32.2,10.04.2026,2026-04-14
+O-10064,66.0,07.05.2026,2026-05-09
+O-10065,40.7,07.04.2026,2026-04-10
+O-10066,76.3,27.02.2026,2026-03-01
+O-10067,15.7,26.02.2026,2026-03-01
+O-10068,18.2,10.02.2026,2026-02-10
+O-10069,18.4,18.01.2026,2026-01-19
+O-10070,23.2,08.05.2026,2026-05-08
+O-10071,34.8,12.01.2026,2026-01-15
+O-10072,30.9,15.03.2026,2026-03-15
+O-10073,39.8,06.06.2026,2026-06-08
+O-10074,27.5,04.06.2026,2026-06-04
+O-10075,17.7,26.03.2026,2026-03-30
+O-10076,84.2,21.01.2026,2026-01-21
+O-10077,27.9,05.01.2026,2026-01-08
+O-10078,22.2,16.01.2026,2026-01-17
+O-10079,92.0,05.03.2026,2026-03-08
+O-10080,31.1,06.05.2026,2026-05-06
+O-10081,30.6,13.03.2026,2026-03-15
+O-10082,55.0,01.05.2026,2026-05-02
+O-10083,35.7,04.04.2026,2026-04-04
+O-10084,22.3,21.05.2026,2026-05-22
+O-10085,11.9,29.05.2026,2026-05-30
+O-10086,14.1,12.04.2026,2026-04-15
+O-10087,24.0,06.01.2026,2026-01-10
+O-10088,29.3,13.03.2026,2026-03-17
+O-10089,46.9,20.02.2026,2026-02-23
+O-10090,26.2,29.05.2026,2026-06-01
+O-10091,20.2,18.01.2026,2026-01-18
+O-10092,18.5,07.06.2026,2026-06-09
+O-10093,16.2,28.03.2026,2026-04-01
+O-10094,26.1,12.02.2026,2026-02-15
+O-10095,31.2,22.05.2026,2026-05-22
+O-10096,57.1,11.01.2026,2026-01-11
+O-10097,15.0,17.02.2026,2026-02-20
+O-10098,33.6,21.01.2026,2026-01-21
+O-10099,24.4,24.02.2026,2026-02-27
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diff --git a/agents/evals/fixtures/cases/histogram-basic-matplotlib-decimal-comma/case.json b/agents/evals/fixtures/cases/histogram-basic-matplotlib-decimal-comma/case.json
new file mode 100644
index 0000000000..f91593c893
--- /dev/null
+++ b/agents/evals/fixtures/cases/histogram-basic-matplotlib-decimal-comma/case.json
@@ -0,0 +1,20 @@
+{
+  "spec_id": "histogram-basic",
+  "library": "matplotlib",
+  "locale": "de",
+  "perturbation": "decimal-comma",
+  "bindings": [
+    {
+      "role": "values",
+      "column": "Delivery Time (min)"
+    }
+  ],
+  "expected": "accepted",
+  "tags": [
+    "histogram",
+    "decimal-comma",
+    "synthetic",
+    "semicolon"
+  ],
+  "source": "synthetic: agents/evals/make_fixtures.py (seed 404, decimal-comma)"
+}
diff --git a/agents/evals/fixtures/cases/histogram-basic-matplotlib-decimal-comma/data.csv b/agents/evals/fixtures/cases/histogram-basic-matplotlib-decimal-comma/data.csv
new file mode 100644
index 0000000000..c0b5c27d0c
--- /dev/null
+++ b/agents/evals/fixtures/cases/histogram-basic-matplotlib-decimal-comma/data.csv
@@ -0,0 +1,401 @@
+Order ID;Delivery Time (min)
+O-10001;38,3
+O-10002;39,4
+O-10003;36,7
+O-10004;36,6
+O-10005;16,3
+O-10006;25,4
+O-10007;25,4
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+O-10009;38,1
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+O-10011;19,5
+O-10012;36,0
+O-10013;53,0
+O-10014;30,1
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diff --git a/agents/evals/fixtures/cases/histogram-basic-matplotlib-n12/case.json b/agents/evals/fixtures/cases/histogram-basic-matplotlib-n12/case.json
new file mode 100644
index 0000000000..b00a908b40
--- /dev/null
+++ b/agents/evals/fixtures/cases/histogram-basic-matplotlib-n12/case.json
@@ -0,0 +1,20 @@
+{
+  "spec_id": "histogram-basic",
+  "library": "matplotlib",
+  "locale": "en",
+  "perturbation": "n12",
+  "bindings": [
+    {
+      "role": "values",
+      "column": "Delivery Time (min)"
+    }
+  ],
+  "expected": "accepted",
+  "tags": [
+    "histogram",
+    "n12",
+    "synthetic",
+    "small"
+  ],
+  "source": "synthetic: agents/evals/make_fixtures.py (seed 404, n12)"
+}
diff --git a/agents/evals/fixtures/cases/histogram-basic-matplotlib-n12/data.csv b/agents/evals/fixtures/cases/histogram-basic-matplotlib-n12/data.csv
new file mode 100644
index 0000000000..3e32daaa5e
--- /dev/null
+++ b/agents/evals/fixtures/cases/histogram-basic-matplotlib-n12/data.csv
@@ -0,0 +1,13 @@
+Order ID,Delivery Time (min)
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diff --git a/agents/evals/fixtures/cases/histogram-basic-matplotlib-n5000/case.json b/agents/evals/fixtures/cases/histogram-basic-matplotlib-n5000/case.json
new file mode 100644
index 0000000000..60a5d8cbc8
--- /dev/null
+++ b/agents/evals/fixtures/cases/histogram-basic-matplotlib-n5000/case.json
@@ -0,0 +1,20 @@
+{
+  "spec_id": "histogram-basic",
+  "library": "matplotlib",
+  "locale": "en",
+  "perturbation": "n5000",
+  "bindings": [
+    {
+      "role": "values",
+      "column": "Delivery Time (min)"
+    }
+  ],
+  "expected": "accepted",
+  "tags": [
+    "histogram",
+    "n5000",
+    "synthetic",
+    "large"
+  ],
+  "source": "synthetic: agents/evals/make_fixtures.py (seed 404, n5000)"
+}
diff --git a/agents/evals/fixtures/cases/histogram-basic-matplotlib-n5000/data.csv b/agents/evals/fixtures/cases/histogram-basic-matplotlib-n5000/data.csv
new file mode 100644
index 0000000000..00869fbb7c
--- /dev/null
+++ b/agents/evals/fixtures/cases/histogram-basic-matplotlib-n5000/data.csv
@@ -0,0 +1,5001 @@
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diff --git a/agents/evals/fixtures/cases/histogram-basic-matplotlib-renamed/case.json b/agents/evals/fixtures/cases/histogram-basic-matplotlib-renamed/case.json
new file mode 100644
index 0000000000..b1172bf3d8
--- /dev/null
+++ b/agents/evals/fixtures/cases/histogram-basic-matplotlib-renamed/case.json
@@ -0,0 +1,20 @@
+{
+  "spec_id": "histogram-basic",
+  "library": "matplotlib",
+  "locale": "de",
+  "perturbation": "renamed",
+  "bindings": [
+    {
+      "role": "values",
+      "column": "Lieferzeit / Minuten"
+    }
+  ],
+  "expected": "accepted",
+  "tags": [
+    "histogram",
+    "renamed",
+    "synthetic",
+    "renamed-headers"
+  ],
+  "source": "synthetic: agents/evals/make_fixtures.py (seed 404, renamed)"
+}
diff --git a/agents/evals/fixtures/cases/histogram-basic-matplotlib-renamed/data.csv b/agents/evals/fixtures/cases/histogram-basic-matplotlib-renamed/data.csv
new file mode 100644
index 0000000000..0a8a710459
--- /dev/null
+++ b/agents/evals/fixtures/cases/histogram-basic-matplotlib-renamed/data.csv
@@ -0,0 +1,401 @@
+Bestellnummer,Lieferzeit / Minuten
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diff --git a/agents/evals/fixtures/cases/histogram-basic-matplotlib-x10/case.json b/agents/evals/fixtures/cases/histogram-basic-matplotlib-x10/case.json
new file mode 100644
index 0000000000..e60c0fb2d1
--- /dev/null
+++ b/agents/evals/fixtures/cases/histogram-basic-matplotlib-x10/case.json
@@ -0,0 +1,20 @@
+{
+  "spec_id": "histogram-basic",
+  "library": "matplotlib",
+  "locale": "en",
+  "perturbation": "x10",
+  "bindings": [
+    {
+      "role": "values",
+      "column": "Delivery Time (min)"
+    }
+  ],
+  "expected": "accepted",
+  "tags": [
+    "histogram",
+    "x10",
+    "synthetic",
+    "scaled-values"
+  ],
+  "source": "synthetic: agents/evals/make_fixtures.py (seed 404, x10)"
+}
diff --git a/agents/evals/fixtures/cases/histogram-basic-matplotlib-x10/data.csv b/agents/evals/fixtures/cases/histogram-basic-matplotlib-x10/data.csv
new file mode 100644
index 0000000000..733d61def1
--- /dev/null
+++ b/agents/evals/fixtures/cases/histogram-basic-matplotlib-x10/data.csv
@@ -0,0 +1,401 @@
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diff --git a/agents/evals/fixtures/cases/histogram-basic-seaborn-date/case.json b/agents/evals/fixtures/cases/histogram-basic-seaborn-date/case.json
new file mode 100644
index 0000000000..a44c7fbf1b
--- /dev/null
+++ b/agents/evals/fixtures/cases/histogram-basic-seaborn-date/case.json
@@ -0,0 +1,22 @@
+{
+  "spec_id": "histogram-basic",
+  "library": "seaborn",
+  "locale": "en",
+  "perturbation": "date",
+  "bindings": [
+    {
+      "role": "values",
+      "column": "Delivery Time (min)"
+    }
+  ],
+  "expected": "accepted",
+  "tags": [
+    "histogram",
+    "date",
+    "synthetic",
+    "dd.mm.yyyy",
+    "iso-date",
+    "unbound-dates"
+  ],
+  "source": "synthetic: agents/evals/make_fixtures.py (seed 404, date)"
+}
diff --git a/agents/evals/fixtures/cases/histogram-basic-seaborn-date/data.csv b/agents/evals/fixtures/cases/histogram-basic-seaborn-date/data.csv
new file mode 100644
index 0000000000..c4a83ef442
--- /dev/null
+++ b/agents/evals/fixtures/cases/histogram-basic-seaborn-date/data.csv
@@ -0,0 +1,401 @@
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diff --git a/agents/evals/fixtures/cases/histogram-basic-seaborn-decimal-comma/case.json b/agents/evals/fixtures/cases/histogram-basic-seaborn-decimal-comma/case.json
new file mode 100644
index 0000000000..c0e28b8c6e
--- /dev/null
+++ b/agents/evals/fixtures/cases/histogram-basic-seaborn-decimal-comma/case.json
@@ -0,0 +1,20 @@
+{
+  "spec_id": "histogram-basic",
+  "library": "seaborn",
+  "locale": "de",
+  "perturbation": "decimal-comma",
+  "bindings": [
+    {
+      "role": "values",
+      "column": "Delivery Time (min)"
+    }
+  ],
+  "expected": "accepted",
+  "tags": [
+    "histogram",
+    "decimal-comma",
+    "synthetic",
+    "semicolon"
+  ],
+  "source": "synthetic: agents/evals/make_fixtures.py (seed 404, decimal-comma)"
+}
diff --git a/agents/evals/fixtures/cases/histogram-basic-seaborn-decimal-comma/data.csv b/agents/evals/fixtures/cases/histogram-basic-seaborn-decimal-comma/data.csv
new file mode 100644
index 0000000000..c0b5c27d0c
--- /dev/null
+++ b/agents/evals/fixtures/cases/histogram-basic-seaborn-decimal-comma/data.csv
@@ -0,0 +1,401 @@
+Order ID;Delivery Time (min)
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diff --git a/agents/evals/fixtures/cases/histogram-basic-seaborn-n12/case.json b/agents/evals/fixtures/cases/histogram-basic-seaborn-n12/case.json
new file mode 100644
index 0000000000..4c08c8fbb3
--- /dev/null
+++ b/agents/evals/fixtures/cases/histogram-basic-seaborn-n12/case.json
@@ -0,0 +1,20 @@
+{
+  "spec_id": "histogram-basic",
+  "library": "seaborn",
+  "locale": "en",
+  "perturbation": "n12",
+  "bindings": [
+    {
+      "role": "values",
+      "column": "Delivery Time (min)"
+    }
+  ],
+  "expected": "accepted",
+  "tags": [
+    "histogram",
+    "n12",
+    "synthetic",
+    "small"
+  ],
+  "source": "synthetic: agents/evals/make_fixtures.py (seed 404, n12)"
+}
diff --git a/agents/evals/fixtures/cases/histogram-basic-seaborn-n12/data.csv b/agents/evals/fixtures/cases/histogram-basic-seaborn-n12/data.csv
new file mode 100644
index 0000000000..3e32daaa5e
--- /dev/null
+++ b/agents/evals/fixtures/cases/histogram-basic-seaborn-n12/data.csv
@@ -0,0 +1,13 @@
+Order ID,Delivery Time (min)
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diff --git a/agents/evals/fixtures/cases/histogram-basic-seaborn-n5000/case.json b/agents/evals/fixtures/cases/histogram-basic-seaborn-n5000/case.json
new file mode 100644
index 0000000000..70aa607a75
--- /dev/null
+++ b/agents/evals/fixtures/cases/histogram-basic-seaborn-n5000/case.json
@@ -0,0 +1,21 @@
+{
+  "spec_id": "histogram-basic",
+  "library": "seaborn",
+  "locale": "en",
+  "perturbation": "n5000",
+  "bindings": [
+    {
+      "role": "values",
+      "column": "Delivery Time (min)"
+    }
+  ],
+  "expected": "accepted",
+  "tags": [
+    "histogram",
+    "n5000",
+    "synthetic",
+    "large",
+    "smoke"
+  ],
+  "source": "synthetic: agents/evals/make_fixtures.py (seed 404, n5000)"
+}
diff --git a/agents/evals/fixtures/cases/histogram-basic-seaborn-n5000/data.csv b/agents/evals/fixtures/cases/histogram-basic-seaborn-n5000/data.csv
new file mode 100644
index 0000000000..00869fbb7c
--- /dev/null
+++ b/agents/evals/fixtures/cases/histogram-basic-seaborn-n5000/data.csv
@@ -0,0 +1,5001 @@
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diff --git a/agents/evals/fixtures/cases/histogram-basic-seaborn-renamed/case.json b/agents/evals/fixtures/cases/histogram-basic-seaborn-renamed/case.json
new file mode 100644
index 0000000000..c2cfa81749
--- /dev/null
+++ b/agents/evals/fixtures/cases/histogram-basic-seaborn-renamed/case.json
@@ -0,0 +1,20 @@
+{
+  "spec_id": "histogram-basic",
+  "library": "seaborn",
+  "locale": "de",
+  "perturbation": "renamed",
+  "bindings": [
+    {
+      "role": "values",
+      "column": "Lieferzeit / Minuten"
+    }
+  ],
+  "expected": "accepted",
+  "tags": [
+    "histogram",
+    "renamed",
+    "synthetic",
+    "renamed-headers"
+  ],
+  "source": "synthetic: agents/evals/make_fixtures.py (seed 404, renamed)"
+}
diff --git a/agents/evals/fixtures/cases/histogram-basic-seaborn-renamed/data.csv b/agents/evals/fixtures/cases/histogram-basic-seaborn-renamed/data.csv
new file mode 100644
index 0000000000..0a8a710459
--- /dev/null
+++ b/agents/evals/fixtures/cases/histogram-basic-seaborn-renamed/data.csv
@@ -0,0 +1,401 @@
+Bestellnummer,Lieferzeit / Minuten
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diff --git a/agents/evals/fixtures/cases/histogram-basic-seaborn-x10/case.json b/agents/evals/fixtures/cases/histogram-basic-seaborn-x10/case.json
new file mode 100644
index 0000000000..45205573fa
--- /dev/null
+++ b/agents/evals/fixtures/cases/histogram-basic-seaborn-x10/case.json
@@ -0,0 +1,20 @@
+{
+  "spec_id": "histogram-basic",
+  "library": "seaborn",
+  "locale": "en",
+  "perturbation": "x10",
+  "bindings": [
+    {
+      "role": "values",
+      "column": "Delivery Time (min)"
+    }
+  ],
+  "expected": "accepted",
+  "tags": [
+    "histogram",
+    "x10",
+    "synthetic",
+    "scaled-values"
+  ],
+  "source": "synthetic: agents/evals/make_fixtures.py (seed 404, x10)"
+}
diff --git a/agents/evals/fixtures/cases/histogram-basic-seaborn-x10/data.csv b/agents/evals/fixtures/cases/histogram-basic-seaborn-x10/data.csv
new file mode 100644
index 0000000000..733d61def1
--- /dev/null
+++ b/agents/evals/fixtures/cases/histogram-basic-seaborn-x10/data.csv
@@ -0,0 +1,401 @@
+Order ID,Delivery Time (min)
+O-10001,383.1
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diff --git a/agents/evals/fixtures/cases/line-basic-matplotlib-date/case.json b/agents/evals/fixtures/cases/line-basic-matplotlib-date/case.json
new file mode 100644
index 0000000000..db261547d4
--- /dev/null
+++ b/agents/evals/fixtures/cases/line-basic-matplotlib-date/case.json
@@ -0,0 +1,26 @@
+{
+  "spec_id": "line-basic",
+  "library": "matplotlib",
+  "locale": "en",
+  "perturbation": "date",
+  "bindings": [
+    {
+      "role": "x",
+      "column": "Timestamp"
+    },
+    {
+      "role": "y",
+      "column": "Tank Temperature (°C)"
+    }
+  ],
+  "expected": "accepted",
+  "tags": [
+    "line",
+    "date",
+    "synthetic",
+    "dd.mm.yyyy",
+    "iso-date",
+    "date-axis"
+  ],
+  "source": "synthetic: agents/evals/make_fixtures.py (seed 202, date)"
+}
diff --git a/agents/evals/fixtures/cases/line-basic-matplotlib-date/data.csv b/agents/evals/fixtures/cases/line-basic-matplotlib-date/data.csv
new file mode 100644
index 0000000000..02d4c96346
--- /dev/null
+++ b/agents/evals/fixtures/cases/line-basic-matplotlib-date/data.csv
@@ -0,0 +1,62 @@
+Timestamp,Logged At,Tank Temperature (°C)
+14.03.2026 06:00,2026-03-15T06:00,21.1
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diff --git a/agents/evals/fixtures/cases/line-basic-matplotlib-decimal-comma/case.json b/agents/evals/fixtures/cases/line-basic-matplotlib-decimal-comma/case.json
new file mode 100644
index 0000000000..1c4774f345
--- /dev/null
+++ b/agents/evals/fixtures/cases/line-basic-matplotlib-decimal-comma/case.json
@@ -0,0 +1,24 @@
+{
+  "spec_id": "line-basic",
+  "library": "matplotlib",
+  "locale": "de",
+  "perturbation": "decimal-comma",
+  "bindings": [
+    {
+      "role": "x",
+      "column": "Elapsed Time (min)"
+    },
+    {
+      "role": "y",
+      "column": "Tank Temperature (°C)"
+    }
+  ],
+  "expected": "accepted",
+  "tags": [
+    "line",
+    "decimal-comma",
+    "synthetic",
+    "semicolon"
+  ],
+  "source": "synthetic: agents/evals/make_fixtures.py (seed 202, decimal-comma)"
+}
diff --git a/agents/evals/fixtures/cases/line-basic-matplotlib-decimal-comma/data.csv b/agents/evals/fixtures/cases/line-basic-matplotlib-decimal-comma/data.csv
new file mode 100644
index 0000000000..5e8c0fc21e
--- /dev/null
+++ b/agents/evals/fixtures/cases/line-basic-matplotlib-decimal-comma/data.csv
@@ -0,0 +1,62 @@
+Elapsed Time (min);Tank Temperature (°C)
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diff --git a/agents/evals/fixtures/cases/line-basic-matplotlib-n12/case.json b/agents/evals/fixtures/cases/line-basic-matplotlib-n12/case.json
new file mode 100644
index 0000000000..a61c98a3a2
--- /dev/null
+++ b/agents/evals/fixtures/cases/line-basic-matplotlib-n12/case.json
@@ -0,0 +1,24 @@
+{
+  "spec_id": "line-basic",
+  "library": "matplotlib",
+  "locale": "en",
+  "perturbation": "n12",
+  "bindings": [
+    {
+      "role": "x",
+      "column": "Elapsed Time (min)"
+    },
+    {
+      "role": "y",
+      "column": "Tank Temperature (°C)"
+    }
+  ],
+  "expected": "accepted",
+  "tags": [
+    "line",
+    "n12",
+    "synthetic",
+    "small"
+  ],
+  "source": "synthetic: agents/evals/make_fixtures.py (seed 202, n12)"
+}
diff --git a/agents/evals/fixtures/cases/line-basic-matplotlib-n12/data.csv b/agents/evals/fixtures/cases/line-basic-matplotlib-n12/data.csv
new file mode 100644
index 0000000000..484b2229ff
--- /dev/null
+++ b/agents/evals/fixtures/cases/line-basic-matplotlib-n12/data.csv
@@ -0,0 +1,13 @@
+Elapsed Time (min),Tank Temperature (°C)
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diff --git a/agents/evals/fixtures/cases/line-basic-matplotlib-n5000/case.json b/agents/evals/fixtures/cases/line-basic-matplotlib-n5000/case.json
new file mode 100644
index 0000000000..8d8ee44e61
--- /dev/null
+++ b/agents/evals/fixtures/cases/line-basic-matplotlib-n5000/case.json
@@ -0,0 +1,24 @@
+{
+  "spec_id": "line-basic",
+  "library": "matplotlib",
+  "locale": "en",
+  "perturbation": "n5000",
+  "bindings": [
+    {
+      "role": "x",
+      "column": "Elapsed Time (min)"
+    },
+    {
+      "role": "y",
+      "column": "Tank Temperature (°C)"
+    }
+  ],
+  "expected": "accepted",
+  "tags": [
+    "line",
+    "n5000",
+    "synthetic",
+    "large"
+  ],
+  "source": "synthetic: agents/evals/make_fixtures.py (seed 202, n5000)"
+}
diff --git a/agents/evals/fixtures/cases/line-basic-matplotlib-n5000/data.csv b/agents/evals/fixtures/cases/line-basic-matplotlib-n5000/data.csv
new file mode 100644
index 0000000000..bc2d96257a
--- /dev/null
+++ b/agents/evals/fixtures/cases/line-basic-matplotlib-n5000/data.csv
@@ -0,0 +1,5001 @@
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diff --git a/agents/evals/fixtures/cases/line-basic-matplotlib-renamed/case.json b/agents/evals/fixtures/cases/line-basic-matplotlib-renamed/case.json
new file mode 100644
index 0000000000..d048dc67ec
--- /dev/null
+++ b/agents/evals/fixtures/cases/line-basic-matplotlib-renamed/case.json
@@ -0,0 +1,25 @@
+{
+  "spec_id": "line-basic",
+  "library": "matplotlib",
+  "locale": "de",
+  "perturbation": "renamed",
+  "bindings": [
+    {
+      "role": "x",
+      "column": "t [min]"
+    },
+    {
+      "role": "y",
+      "column": "T_tank [°C]"
+    }
+  ],
+  "expected": "accepted",
+  "tags": [
+    "line",
+    "renamed",
+    "synthetic",
+    "renamed-headers",
+    "non-ascii-headers"
+  ],
+  "source": "synthetic: agents/evals/make_fixtures.py (seed 202, renamed)"
+}
diff --git a/agents/evals/fixtures/cases/line-basic-matplotlib-renamed/data.csv b/agents/evals/fixtures/cases/line-basic-matplotlib-renamed/data.csv
new file mode 100644
index 0000000000..40cd36cf96
--- /dev/null
+++ b/agents/evals/fixtures/cases/line-basic-matplotlib-renamed/data.csv
@@ -0,0 +1,62 @@
+t [min],T_tank [°C]
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diff --git a/agents/evals/fixtures/cases/line-basic-matplotlib-x10/case.json b/agents/evals/fixtures/cases/line-basic-matplotlib-x10/case.json
new file mode 100644
index 0000000000..126925d3b2
--- /dev/null
+++ b/agents/evals/fixtures/cases/line-basic-matplotlib-x10/case.json
@@ -0,0 +1,24 @@
+{
+  "spec_id": "line-basic",
+  "library": "matplotlib",
+  "locale": "en",
+  "perturbation": "x10",
+  "bindings": [
+    {
+      "role": "x",
+      "column": "Elapsed Time (min)"
+    },
+    {
+      "role": "y",
+      "column": "Tank Temperature (°C)"
+    }
+  ],
+  "expected": "accepted",
+  "tags": [
+    "line",
+    "x10",
+    "synthetic",
+    "scaled-values"
+  ],
+  "source": "synthetic: agents/evals/make_fixtures.py (seed 202, x10)"
+}
diff --git a/agents/evals/fixtures/cases/line-basic-matplotlib-x10/data.csv b/agents/evals/fixtures/cases/line-basic-matplotlib-x10/data.csv
new file mode 100644
index 0000000000..7fdabb0d61
--- /dev/null
+++ b/agents/evals/fixtures/cases/line-basic-matplotlib-x10/data.csv
@@ -0,0 +1,62 @@
+Elapsed Time (min),Tank Temperature (°C)
+0.00,210.9
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diff --git a/agents/evals/fixtures/cases/line-basic-seaborn-date/case.json b/agents/evals/fixtures/cases/line-basic-seaborn-date/case.json
new file mode 100644
index 0000000000..00d1635b33
--- /dev/null
+++ b/agents/evals/fixtures/cases/line-basic-seaborn-date/case.json
@@ -0,0 +1,26 @@
+{
+  "spec_id": "line-basic",
+  "library": "seaborn",
+  "locale": "en",
+  "perturbation": "date",
+  "bindings": [
+    {
+      "role": "x",
+      "column": "Timestamp"
+    },
+    {
+      "role": "y",
+      "column": "Tank Temperature (°C)"
+    }
+  ],
+  "expected": "accepted",
+  "tags": [
+    "line",
+    "date",
+    "synthetic",
+    "dd.mm.yyyy",
+    "iso-date",
+    "date-axis"
+  ],
+  "source": "synthetic: agents/evals/make_fixtures.py (seed 202, date)"
+}
diff --git a/agents/evals/fixtures/cases/line-basic-seaborn-date/data.csv b/agents/evals/fixtures/cases/line-basic-seaborn-date/data.csv
new file mode 100644
index 0000000000..02d4c96346
--- /dev/null
+++ b/agents/evals/fixtures/cases/line-basic-seaborn-date/data.csv
@@ -0,0 +1,62 @@
+Timestamp,Logged At,Tank Temperature (°C)
+14.03.2026 06:00,2026-03-15T06:00,21.1
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diff --git a/agents/evals/fixtures/cases/line-basic-seaborn-decimal-comma/case.json b/agents/evals/fixtures/cases/line-basic-seaborn-decimal-comma/case.json
new file mode 100644
index 0000000000..1fd66aaf94
--- /dev/null
+++ b/agents/evals/fixtures/cases/line-basic-seaborn-decimal-comma/case.json
@@ -0,0 +1,24 @@
+{
+  "spec_id": "line-basic",
+  "library": "seaborn",
+  "locale": "de",
+  "perturbation": "decimal-comma",
+  "bindings": [
+    {
+      "role": "x",
+      "column": "Elapsed Time (min)"
+    },
+    {
+      "role": "y",
+      "column": "Tank Temperature (°C)"
+    }
+  ],
+  "expected": "accepted",
+  "tags": [
+    "line",
+    "decimal-comma",
+    "synthetic",
+    "semicolon"
+  ],
+  "source": "synthetic: agents/evals/make_fixtures.py (seed 202, decimal-comma)"
+}
diff --git a/agents/evals/fixtures/cases/line-basic-seaborn-decimal-comma/data.csv b/agents/evals/fixtures/cases/line-basic-seaborn-decimal-comma/data.csv
new file mode 100644
index 0000000000..5e8c0fc21e
--- /dev/null
+++ b/agents/evals/fixtures/cases/line-basic-seaborn-decimal-comma/data.csv
@@ -0,0 +1,62 @@
+Elapsed Time (min);Tank Temperature (°C)
+0,00;21,1
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+4,00;26,4
+6,00;30,0
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+10,00;37,1
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diff --git a/agents/evals/fixtures/cases/line-basic-seaborn-n12/case.json b/agents/evals/fixtures/cases/line-basic-seaborn-n12/case.json
new file mode 100644
index 0000000000..0d99fc896f
--- /dev/null
+++ b/agents/evals/fixtures/cases/line-basic-seaborn-n12/case.json
@@ -0,0 +1,24 @@
+{
+  "spec_id": "line-basic",
+  "library": "seaborn",
+  "locale": "en",
+  "perturbation": "n12",
+  "bindings": [
+    {
+      "role": "x",
+      "column": "Elapsed Time (min)"
+    },
+    {
+      "role": "y",
+      "column": "Tank Temperature (°C)"
+    }
+  ],
+  "expected": "accepted",
+  "tags": [
+    "line",
+    "n12",
+    "synthetic",
+    "small"
+  ],
+  "source": "synthetic: agents/evals/make_fixtures.py (seed 202, n12)"
+}
diff --git a/agents/evals/fixtures/cases/line-basic-seaborn-n12/data.csv b/agents/evals/fixtures/cases/line-basic-seaborn-n12/data.csv
new file mode 100644
index 0000000000..484b2229ff
--- /dev/null
+++ b/agents/evals/fixtures/cases/line-basic-seaborn-n12/data.csv
@@ -0,0 +1,13 @@
+Elapsed Time (min),Tank Temperature (°C)
+0.00,19.6
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+21.82,49.3
+32.73,58.5
+43.64,66.1
+54.55,70.5
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diff --git a/agents/evals/fixtures/cases/line-basic-seaborn-n5000/case.json b/agents/evals/fixtures/cases/line-basic-seaborn-n5000/case.json
new file mode 100644
index 0000000000..54a7151b6c
--- /dev/null
+++ b/agents/evals/fixtures/cases/line-basic-seaborn-n5000/case.json
@@ -0,0 +1,24 @@
+{
+  "spec_id": "line-basic",
+  "library": "seaborn",
+  "locale": "en",
+  "perturbation": "n5000",
+  "bindings": [
+    {
+      "role": "x",
+      "column": "Elapsed Time (min)"
+    },
+    {
+      "role": "y",
+      "column": "Tank Temperature (°C)"
+    }
+  ],
+  "expected": "accepted",
+  "tags": [
+    "line",
+    "n5000",
+    "synthetic",
+    "large"
+  ],
+  "source": "synthetic: agents/evals/make_fixtures.py (seed 202, n5000)"
+}
diff --git a/agents/evals/fixtures/cases/line-basic-seaborn-n5000/data.csv b/agents/evals/fixtures/cases/line-basic-seaborn-n5000/data.csv
new file mode 100644
index 0000000000..bc2d96257a
--- /dev/null
+++ b/agents/evals/fixtures/cases/line-basic-seaborn-n5000/data.csv
@@ -0,0 +1,5001 @@
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diff --git a/agents/evals/fixtures/cases/line-basic-seaborn-renamed/case.json b/agents/evals/fixtures/cases/line-basic-seaborn-renamed/case.json
new file mode 100644
index 0000000000..9a26d93687
--- /dev/null
+++ b/agents/evals/fixtures/cases/line-basic-seaborn-renamed/case.json
@@ -0,0 +1,25 @@
+{
+  "spec_id": "line-basic",
+  "library": "seaborn",
+  "locale": "de",
+  "perturbation": "renamed",
+  "bindings": [
+    {
+      "role": "x",
+      "column": "t [min]"
+    },
+    {
+      "role": "y",
+      "column": "T_tank [°C]"
+    }
+  ],
+  "expected": "accepted",
+  "tags": [
+    "line",
+    "renamed",
+    "synthetic",
+    "renamed-headers",
+    "non-ascii-headers"
+  ],
+  "source": "synthetic: agents/evals/make_fixtures.py (seed 202, renamed)"
+}
diff --git a/agents/evals/fixtures/cases/line-basic-seaborn-renamed/data.csv b/agents/evals/fixtures/cases/line-basic-seaborn-renamed/data.csv
new file mode 100644
index 0000000000..40cd36cf96
--- /dev/null
+++ b/agents/evals/fixtures/cases/line-basic-seaborn-renamed/data.csv
@@ -0,0 +1,62 @@
+t [min],T_tank [°C]
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diff --git a/agents/evals/fixtures/cases/line-basic-seaborn-x10/case.json b/agents/evals/fixtures/cases/line-basic-seaborn-x10/case.json
new file mode 100644
index 0000000000..dd3f531d0e
--- /dev/null
+++ b/agents/evals/fixtures/cases/line-basic-seaborn-x10/case.json
@@ -0,0 +1,25 @@
+{
+  "spec_id": "line-basic",
+  "library": "seaborn",
+  "locale": "en",
+  "perturbation": "x10",
+  "bindings": [
+    {
+      "role": "x",
+      "column": "Elapsed Time (min)"
+    },
+    {
+      "role": "y",
+      "column": "Tank Temperature (°C)"
+    }
+  ],
+  "expected": "accepted",
+  "tags": [
+    "line",
+    "x10",
+    "synthetic",
+    "scaled-values",
+    "smoke"
+  ],
+  "source": "synthetic: agents/evals/make_fixtures.py (seed 202, x10)"
+}
diff --git a/agents/evals/fixtures/cases/line-basic-seaborn-x10/data.csv b/agents/evals/fixtures/cases/line-basic-seaborn-x10/data.csv
new file mode 100644
index 0000000000..7fdabb0d61
--- /dev/null
+++ b/agents/evals/fixtures/cases/line-basic-seaborn-x10/data.csv
@@ -0,0 +1,62 @@
+Elapsed Time (min),Tank Temperature (°C)
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diff --git a/agents/evals/fixtures/cases/line-timeseries-matplotlib-date/case.json b/agents/evals/fixtures/cases/line-timeseries-matplotlib-date/case.json
new file mode 100644
index 0000000000..64dd2a0b9f
--- /dev/null
+++ b/agents/evals/fixtures/cases/line-timeseries-matplotlib-date/case.json
@@ -0,0 +1,26 @@
+{
+  "spec_id": "line-timeseries",
+  "library": "matplotlib",
+  "locale": "en",
+  "perturbation": "date",
+  "bindings": [
+    {
+      "role": "date",
+      "column": "Date"
+    },
+    {
+      "role": "value",
+      "column": "PM2.5 (µg/m³)"
+    }
+  ],
+  "expected": "accepted",
+  "tags": [
+    "time-series",
+    "date",
+    "synthetic",
+    "dd.mm.yyyy",
+    "iso-date",
+    "date-axis"
+  ],
+  "source": "synthetic: agents/evals/make_fixtures.py (seed 1010, date)"
+}
diff --git a/agents/evals/fixtures/cases/line-timeseries-matplotlib-date/data.csv b/agents/evals/fixtures/cases/line-timeseries-matplotlib-date/data.csv
new file mode 100644
index 0000000000..47cb7354f5
--- /dev/null
+++ b/agents/evals/fixtures/cases/line-timeseries-matplotlib-date/data.csv
@@ -0,0 +1,366 @@
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diff --git a/agents/evals/fixtures/cases/line-timeseries-matplotlib-decimal-comma/case.json b/agents/evals/fixtures/cases/line-timeseries-matplotlib-decimal-comma/case.json
new file mode 100644
index 0000000000..35ad568648
--- /dev/null
+++ b/agents/evals/fixtures/cases/line-timeseries-matplotlib-decimal-comma/case.json
@@ -0,0 +1,25 @@
+{
+  "spec_id": "line-timeseries",
+  "library": "matplotlib",
+  "locale": "de",
+  "perturbation": "decimal-comma",
+  "bindings": [
+    {
+      "role": "date",
+      "column": "Date"
+    },
+    {
+      "role": "value",
+      "column": "PM2.5 (µg/m³)"
+    }
+  ],
+  "expected": "accepted",
+  "tags": [
+    "time-series",
+    "decimal-comma",
+    "synthetic",
+    "semicolon",
+    "dd.mm.yyyy"
+  ],
+  "source": "synthetic: agents/evals/make_fixtures.py (seed 1010, decimal-comma)"
+}
diff --git a/agents/evals/fixtures/cases/line-timeseries-matplotlib-decimal-comma/data.csv b/agents/evals/fixtures/cases/line-timeseries-matplotlib-decimal-comma/data.csv
new file mode 100644
index 0000000000..df75a07f5c
--- /dev/null
+++ b/agents/evals/fixtures/cases/line-timeseries-matplotlib-decimal-comma/data.csv
@@ -0,0 +1,366 @@
+Date;PM2.5 (µg/m³)
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diff --git a/agents/evals/fixtures/cases/line-timeseries-matplotlib-n12/case.json b/agents/evals/fixtures/cases/line-timeseries-matplotlib-n12/case.json
new file mode 100644
index 0000000000..c24a194c7c
--- /dev/null
+++ b/agents/evals/fixtures/cases/line-timeseries-matplotlib-n12/case.json
@@ -0,0 +1,24 @@
+{
+  "spec_id": "line-timeseries",
+  "library": "matplotlib",
+  "locale": "en",
+  "perturbation": "n12",
+  "bindings": [
+    {
+      "role": "date",
+      "column": "Date"
+    },
+    {
+      "role": "value",
+      "column": "PM2.5 (µg/m³)"
+    }
+  ],
+  "expected": "accepted",
+  "tags": [
+    "time-series",
+    "n12",
+    "synthetic",
+    "small"
+  ],
+  "source": "synthetic: agents/evals/make_fixtures.py (seed 1010, n12)"
+}
diff --git a/agents/evals/fixtures/cases/line-timeseries-matplotlib-n12/data.csv b/agents/evals/fixtures/cases/line-timeseries-matplotlib-n12/data.csv
new file mode 100644
index 0000000000..d71bc31879
--- /dev/null
+++ b/agents/evals/fixtures/cases/line-timeseries-matplotlib-n12/data.csv
@@ -0,0 +1,13 @@
+Date,PM2.5 (µg/m³)
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diff --git a/agents/evals/fixtures/cases/line-timeseries-matplotlib-n5000/case.json b/agents/evals/fixtures/cases/line-timeseries-matplotlib-n5000/case.json
new file mode 100644
index 0000000000..352eb4fbc3
--- /dev/null
+++ b/agents/evals/fixtures/cases/line-timeseries-matplotlib-n5000/case.json
@@ -0,0 +1,24 @@
+{
+  "spec_id": "line-timeseries",
+  "library": "matplotlib",
+  "locale": "en",
+  "perturbation": "n5000",
+  "bindings": [
+    {
+      "role": "date",
+      "column": "Date"
+    },
+    {
+      "role": "value",
+      "column": "PM2.5 (µg/m³)"
+    }
+  ],
+  "expected": "accepted",
+  "tags": [
+    "time-series",
+    "n5000",
+    "synthetic",
+    "large"
+  ],
+  "source": "synthetic: agents/evals/make_fixtures.py (seed 1010, n5000)"
+}
diff --git a/agents/evals/fixtures/cases/line-timeseries-matplotlib-n5000/data.csv b/agents/evals/fixtures/cases/line-timeseries-matplotlib-n5000/data.csv
new file mode 100644
index 0000000000..9b339924b8
--- /dev/null
+++ b/agents/evals/fixtures/cases/line-timeseries-matplotlib-n5000/data.csv
@@ -0,0 +1,5001 @@
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diff --git a/agents/evals/fixtures/cases/line-timeseries-matplotlib-renamed/case.json b/agents/evals/fixtures/cases/line-timeseries-matplotlib-renamed/case.json
new file mode 100644
index 0000000000..f58188d3ee
--- /dev/null
+++ b/agents/evals/fixtures/cases/line-timeseries-matplotlib-renamed/case.json
@@ -0,0 +1,25 @@
+{
+  "spec_id": "line-timeseries",
+  "library": "matplotlib",
+  "locale": "de",
+  "perturbation": "renamed",
+  "bindings": [
+    {
+      "role": "date",
+      "column": "Messdatum"
+    },
+    {
+      "role": "value",
+      "column": "Feinstaub PM2,5 (µg/m³)"
+    }
+  ],
+  "expected": "accepted",
+  "tags": [
+    "time-series",
+    "renamed",
+    "synthetic",
+    "renamed-headers",
+    "non-ascii-headers"
+  ],
+  "source": "synthetic: agents/evals/make_fixtures.py (seed 1010, renamed)"
+}
diff --git a/agents/evals/fixtures/cases/line-timeseries-matplotlib-renamed/data.csv b/agents/evals/fixtures/cases/line-timeseries-matplotlib-renamed/data.csv
new file mode 100644
index 0000000000..1acececa25
--- /dev/null
+++ b/agents/evals/fixtures/cases/line-timeseries-matplotlib-renamed/data.csv
@@ -0,0 +1,366 @@
+Messdatum,"Feinstaub PM2,5 (µg/m³)"
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diff --git a/agents/evals/fixtures/cases/line-timeseries-matplotlib-x10/case.json b/agents/evals/fixtures/cases/line-timeseries-matplotlib-x10/case.json
new file mode 100644
index 0000000000..f8372d5c8d
--- /dev/null
+++ b/agents/evals/fixtures/cases/line-timeseries-matplotlib-x10/case.json
@@ -0,0 +1,24 @@
+{
+  "spec_id": "line-timeseries",
+  "library": "matplotlib",
+  "locale": "en",
+  "perturbation": "x10",
+  "bindings": [
+    {
+      "role": "date",
+      "column": "Date"
+    },
+    {
+      "role": "value",
+      "column": "PM2.5 (µg/m³)"
+    }
+  ],
+  "expected": "accepted",
+  "tags": [
+    "time-series",
+    "x10",
+    "synthetic",
+    "scaled-values"
+  ],
+  "source": "synthetic: agents/evals/make_fixtures.py (seed 1010, x10)"
+}
diff --git a/agents/evals/fixtures/cases/line-timeseries-matplotlib-x10/data.csv b/agents/evals/fixtures/cases/line-timeseries-matplotlib-x10/data.csv
new file mode 100644
index 0000000000..d69098f184
--- /dev/null
+++ b/agents/evals/fixtures/cases/line-timeseries-matplotlib-x10/data.csv
@@ -0,0 +1,366 @@
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diff --git a/agents/evals/fixtures/cases/line-timeseries-seaborn-date/case.json b/agents/evals/fixtures/cases/line-timeseries-seaborn-date/case.json
new file mode 100644
index 0000000000..abce2257de
--- /dev/null
+++ b/agents/evals/fixtures/cases/line-timeseries-seaborn-date/case.json
@@ -0,0 +1,26 @@
+{
+  "spec_id": "line-timeseries",
+  "library": "seaborn",
+  "locale": "en",
+  "perturbation": "date",
+  "bindings": [
+    {
+      "role": "date",
+      "column": "Date"
+    },
+    {
+      "role": "value",
+      "column": "PM2.5 (µg/m³)"
+    }
+  ],
+  "expected": "accepted",
+  "tags": [
+    "time-series",
+    "date",
+    "synthetic",
+    "dd.mm.yyyy",
+    "iso-date",
+    "date-axis"
+  ],
+  "source": "synthetic: agents/evals/make_fixtures.py (seed 1010, date)"
+}
diff --git a/agents/evals/fixtures/cases/line-timeseries-seaborn-date/data.csv b/agents/evals/fixtures/cases/line-timeseries-seaborn-date/data.csv
new file mode 100644
index 0000000000..47cb7354f5
--- /dev/null
+++ b/agents/evals/fixtures/cases/line-timeseries-seaborn-date/data.csv
@@ -0,0 +1,366 @@
+Date,Validated On,PM2.5 (µg/m³)
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diff --git a/agents/evals/fixtures/cases/line-timeseries-seaborn-decimal-comma/case.json b/agents/evals/fixtures/cases/line-timeseries-seaborn-decimal-comma/case.json
new file mode 100644
index 0000000000..e73540438f
--- /dev/null
+++ b/agents/evals/fixtures/cases/line-timeseries-seaborn-decimal-comma/case.json
@@ -0,0 +1,25 @@
+{
+  "spec_id": "line-timeseries",
+  "library": "seaborn",
+  "locale": "de",
+  "perturbation": "decimal-comma",
+  "bindings": [
+    {
+      "role": "date",
+      "column": "Date"
+    },
+    {
+      "role": "value",
+      "column": "PM2.5 (µg/m³)"
+    }
+  ],
+  "expected": "accepted",
+  "tags": [
+    "time-series",
+    "decimal-comma",
+    "synthetic",
+    "semicolon",
+    "dd.mm.yyyy"
+  ],
+  "source": "synthetic: agents/evals/make_fixtures.py (seed 1010, decimal-comma)"
+}
diff --git a/agents/evals/fixtures/cases/line-timeseries-seaborn-decimal-comma/data.csv b/agents/evals/fixtures/cases/line-timeseries-seaborn-decimal-comma/data.csv
new file mode 100644
index 0000000000..df75a07f5c
--- /dev/null
+++ b/agents/evals/fixtures/cases/line-timeseries-seaborn-decimal-comma/data.csv
@@ -0,0 +1,366 @@
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diff --git a/agents/evals/fixtures/cases/line-timeseries-seaborn-n12/case.json b/agents/evals/fixtures/cases/line-timeseries-seaborn-n12/case.json
new file mode 100644
index 0000000000..5bf2f4378f
--- /dev/null
+++ b/agents/evals/fixtures/cases/line-timeseries-seaborn-n12/case.json
@@ -0,0 +1,24 @@
+{
+  "spec_id": "line-timeseries",
+  "library": "seaborn",
+  "locale": "en",
+  "perturbation": "n12",
+  "bindings": [
+    {
+      "role": "date",
+      "column": "Date"
+    },
+    {
+      "role": "value",
+      "column": "PM2.5 (µg/m³)"
+    }
+  ],
+  "expected": "accepted",
+  "tags": [
+    "time-series",
+    "n12",
+    "synthetic",
+    "small"
+  ],
+  "source": "synthetic: agents/evals/make_fixtures.py (seed 1010, n12)"
+}
diff --git a/agents/evals/fixtures/cases/line-timeseries-seaborn-n12/data.csv b/agents/evals/fixtures/cases/line-timeseries-seaborn-n12/data.csv
new file mode 100644
index 0000000000..d71bc31879
--- /dev/null
+++ b/agents/evals/fixtures/cases/line-timeseries-seaborn-n12/data.csv
@@ -0,0 +1,13 @@
+Date,PM2.5 (µg/m³)
+2025-01-01,18.7
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diff --git a/agents/evals/fixtures/cases/line-timeseries-seaborn-n5000/case.json b/agents/evals/fixtures/cases/line-timeseries-seaborn-n5000/case.json
new file mode 100644
index 0000000000..e06b1721c5
--- /dev/null
+++ b/agents/evals/fixtures/cases/line-timeseries-seaborn-n5000/case.json
@@ -0,0 +1,25 @@
+{
+  "spec_id": "line-timeseries",
+  "library": "seaborn",
+  "locale": "en",
+  "perturbation": "n5000",
+  "bindings": [
+    {
+      "role": "date",
+      "column": "Date"
+    },
+    {
+      "role": "value",
+      "column": "PM2.5 (µg/m³)"
+    }
+  ],
+  "expected": "accepted",
+  "tags": [
+    "time-series",
+    "n5000",
+    "synthetic",
+    "large",
+    "smoke"
+  ],
+  "source": "synthetic: agents/evals/make_fixtures.py (seed 1010, n5000)"
+}
diff --git a/agents/evals/fixtures/cases/line-timeseries-seaborn-n5000/data.csv b/agents/evals/fixtures/cases/line-timeseries-seaborn-n5000/data.csv
new file mode 100644
index 0000000000..9b339924b8
--- /dev/null
+++ b/agents/evals/fixtures/cases/line-timeseries-seaborn-n5000/data.csv
@@ -0,0 +1,5001 @@
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diff --git a/agents/evals/fixtures/cases/line-timeseries-seaborn-renamed/case.json b/agents/evals/fixtures/cases/line-timeseries-seaborn-renamed/case.json
new file mode 100644
index 0000000000..2a775a2cb5
--- /dev/null
+++ b/agents/evals/fixtures/cases/line-timeseries-seaborn-renamed/case.json
@@ -0,0 +1,25 @@
+{
+  "spec_id": "line-timeseries",
+  "library": "seaborn",
+  "locale": "de",
+  "perturbation": "renamed",
+  "bindings": [
+    {
+      "role": "date",
+      "column": "Messdatum"
+    },
+    {
+      "role": "value",
+      "column": "Feinstaub PM2,5 (µg/m³)"
+    }
+  ],
+  "expected": "accepted",
+  "tags": [
+    "time-series",
+    "renamed",
+    "synthetic",
+    "renamed-headers",
+    "non-ascii-headers"
+  ],
+  "source": "synthetic: agents/evals/make_fixtures.py (seed 1010, renamed)"
+}
diff --git a/agents/evals/fixtures/cases/line-timeseries-seaborn-renamed/data.csv b/agents/evals/fixtures/cases/line-timeseries-seaborn-renamed/data.csv
new file mode 100644
index 0000000000..1acececa25
--- /dev/null
+++ b/agents/evals/fixtures/cases/line-timeseries-seaborn-renamed/data.csv
@@ -0,0 +1,366 @@
+Messdatum,"Feinstaub PM2,5 (µg/m³)"
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diff --git a/agents/evals/fixtures/cases/line-timeseries-seaborn-x10/case.json b/agents/evals/fixtures/cases/line-timeseries-seaborn-x10/case.json
new file mode 100644
index 0000000000..9dfade4ace
--- /dev/null
+++ b/agents/evals/fixtures/cases/line-timeseries-seaborn-x10/case.json
@@ -0,0 +1,24 @@
+{
+  "spec_id": "line-timeseries",
+  "library": "seaborn",
+  "locale": "en",
+  "perturbation": "x10",
+  "bindings": [
+    {
+      "role": "date",
+      "column": "Date"
+    },
+    {
+      "role": "value",
+      "column": "PM2.5 (µg/m³)"
+    }
+  ],
+  "expected": "accepted",
+  "tags": [
+    "time-series",
+    "x10",
+    "synthetic",
+    "scaled-values"
+  ],
+  "source": "synthetic: agents/evals/make_fixtures.py (seed 1010, x10)"
+}
diff --git a/agents/evals/fixtures/cases/line-timeseries-seaborn-x10/data.csv b/agents/evals/fixtures/cases/line-timeseries-seaborn-x10/data.csv
new file mode 100644
index 0000000000..d69098f184
--- /dev/null
+++ b/agents/evals/fixtures/cases/line-timeseries-seaborn-x10/data.csv
@@ -0,0 +1,366 @@
+Date,PM2.5 (µg/m³)
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diff --git a/agents/evals/fixtures/cases/pie-basic-matplotlib-date/case.json b/agents/evals/fixtures/cases/pie-basic-matplotlib-date/case.json
new file mode 100644
index 0000000000..1f7c68f76d
--- /dev/null
+++ b/agents/evals/fixtures/cases/pie-basic-matplotlib-date/case.json
@@ -0,0 +1,26 @@
+{
+  "spec_id": "pie-basic",
+  "library": "matplotlib",
+  "locale": "en",
+  "perturbation": "date",
+  "bindings": [
+    {
+      "role": "category",
+      "column": "Expense Category"
+    },
+    {
+      "role": "value",
+      "column": "Amount (CHF)"
+    }
+  ],
+  "expected": "accepted",
+  "tags": [
+    "pie",
+    "date",
+    "synthetic",
+    "dd.mm.yyyy",
+    "iso-date",
+    "unbound-dates"
+  ],
+  "source": "synthetic: agents/evals/make_fixtures.py (seed 909, date)"
+}
diff --git a/agents/evals/fixtures/cases/pie-basic-matplotlib-date/data.csv b/agents/evals/fixtures/cases/pie-basic-matplotlib-date/data.csv
new file mode 100644
index 0000000000..a243c78806
--- /dev/null
+++ b/agents/evals/fixtures/cases/pie-basic-matplotlib-date/data.csv
@@ -0,0 +1,7 @@
+Expense Category,Amount (CHF),Booking Date,Imported On
+Housing,1913.25,05.05.2026,2026-05-05
+Food,692.31,20.01.2026,2026-01-23
+Transport,402.45,29.03.2026,2026-03-30
+Leisure,337.19,13.05.2026,2026-05-14
+Health,244.50,17.02.2026,2026-02-18
+Savings,648.13,20.03.2026,2026-03-24
diff --git a/agents/evals/fixtures/cases/pie-basic-matplotlib-decimal-comma/case.json b/agents/evals/fixtures/cases/pie-basic-matplotlib-decimal-comma/case.json
new file mode 100644
index 0000000000..dd3c269161
--- /dev/null
+++ b/agents/evals/fixtures/cases/pie-basic-matplotlib-decimal-comma/case.json
@@ -0,0 +1,24 @@
+{
+  "spec_id": "pie-basic",
+  "library": "matplotlib",
+  "locale": "de",
+  "perturbation": "decimal-comma",
+  "bindings": [
+    {
+      "role": "category",
+      "column": "Expense Category"
+    },
+    {
+      "role": "value",
+      "column": "Amount (CHF)"
+    }
+  ],
+  "expected": "accepted",
+  "tags": [
+    "pie",
+    "decimal-comma",
+    "synthetic",
+    "semicolon"
+  ],
+  "source": "synthetic: agents/evals/make_fixtures.py (seed 909, decimal-comma)"
+}
diff --git a/agents/evals/fixtures/cases/pie-basic-matplotlib-decimal-comma/data.csv b/agents/evals/fixtures/cases/pie-basic-matplotlib-decimal-comma/data.csv
new file mode 100644
index 0000000000..2d4e55ae01
--- /dev/null
+++ b/agents/evals/fixtures/cases/pie-basic-matplotlib-decimal-comma/data.csv
@@ -0,0 +1,7 @@
+Expense Category;Amount (CHF)
+Housing;1913,25
+Food;692,31
+Transport;402,45
+Leisure;337,19
+Health;244,50
+Savings;648,13
diff --git a/agents/evals/fixtures/cases/pie-basic-matplotlib-n12/case.json b/agents/evals/fixtures/cases/pie-basic-matplotlib-n12/case.json
new file mode 100644
index 0000000000..62c5dd0538
--- /dev/null
+++ b/agents/evals/fixtures/cases/pie-basic-matplotlib-n12/case.json
@@ -0,0 +1,25 @@
+{
+  "spec_id": "pie-basic",
+  "library": "matplotlib",
+  "locale": "en",
+  "perturbation": "n12",
+  "bindings": [
+    {
+      "role": "category",
+      "column": "Expense Category"
+    },
+    {
+      "role": "value",
+      "column": "Amount (CHF)"
+    }
+  ],
+  "expected": "accepted",
+  "tags": [
+    "pie",
+    "n12",
+    "synthetic",
+    "small",
+    "smoke"
+  ],
+  "source": "synthetic: agents/evals/make_fixtures.py (seed 909, n12)"
+}
diff --git a/agents/evals/fixtures/cases/pie-basic-matplotlib-n12/data.csv b/agents/evals/fixtures/cases/pie-basic-matplotlib-n12/data.csv
new file mode 100644
index 0000000000..cd24cc6737
--- /dev/null
+++ b/agents/evals/fixtures/cases/pie-basic-matplotlib-n12/data.csv
@@ -0,0 +1,13 @@
+Expense Category,Amount (CHF)
+Housing,1686.23
+Food,719.68
+Transport,443.66
+Leisure,311.31
+Health,236.78
+Savings,595.60
+Insurance,342.29
+Education,138.39
+Clothing,114.95
+Utilities,215.46
+Gifts,55.02
+Other,93.78
diff --git a/agents/evals/fixtures/cases/pie-basic-matplotlib-n5000/case.json b/agents/evals/fixtures/cases/pie-basic-matplotlib-n5000/case.json
new file mode 100644
index 0000000000..5606b0140b
--- /dev/null
+++ b/agents/evals/fixtures/cases/pie-basic-matplotlib-n5000/case.json
@@ -0,0 +1,25 @@
+{
+  "spec_id": "pie-basic",
+  "library": "matplotlib",
+  "locale": "en",
+  "perturbation": "n5000",
+  "bindings": [
+    {
+      "role": "category",
+      "column": "Expense Category"
+    },
+    {
+      "role": "value",
+      "column": "Amount (CHF)"
+    }
+  ],
+  "expected": "accepted",
+  "tags": [
+    "pie",
+    "n5000",
+    "synthetic",
+    "large",
+    "aggregation"
+  ],
+  "source": "synthetic: agents/evals/make_fixtures.py (seed 909, n5000)"
+}
diff --git a/agents/evals/fixtures/cases/pie-basic-matplotlib-n5000/data.csv b/agents/evals/fixtures/cases/pie-basic-matplotlib-n5000/data.csv
new file mode 100644
index 0000000000..573db3f08c
--- /dev/null
+++ b/agents/evals/fixtures/cases/pie-basic-matplotlib-n5000/data.csv
@@ -0,0 +1,5001 @@
+Expense Category,Amount (CHF)
+Transport,29.12
+Food,27.01
+Food,31.20
+Transport,6.75
+Food,17.05
+Food,39.81
+Food,3.90
+Food,5.14
+Food,43.53
+Transport,14.79
+Food,10.09
+Food,41.71
+Transport,41.78
+Housing,727.06
+Transport,22.80
+Food,37.10
+Food,37.37
+Food,21.56
+Transport,46.95
+Savings,313.75
+Leisure,40.26
+Food,74.54
+Savings,108.08
+Food,48.05
+Transport,3.17
+Leisure,25.46
+Food,34.41
+Food,1.38
+Transport,34.60
+Transport,26.44
+Transport,5.57
+Food,26.45
+Transport,38.92
+Transport,15.54
+Food,33.13
+Transport,57.14
+Food,25.91
+Food,7.31
+Leisure,19.39
+Transport,17.56
+Housing,863.42
+Food,99.41
+Leisure,50.43
+Food,9.47
+Transport,86.07
+Health,19.85
+Transport,19.83
+Leisure,51.21
+Transport,19.71
+Health,46.35
+Leisure,29.07
+Transport,42.76
+Leisure,66.38
+Transport,29.34
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+Transport,5.41
+Transport,42.32
+Food,94.67
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+Food,125.98
+Food,20.50
+Leisure,19.79
+Food,46.17
+Transport,10.88
+Transport,3.39
+Transport,15.03
+Food,69.25
+Food,23.25
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+Food,33.71
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+Leisure,54.29
+Food,16.13
+Food,6.64
+Food,48.42
+Leisure,21.38
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+Transport,7.01
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+Leisure,126.55
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+Leisure,59.51
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+Leisure,65.60
+Leisure,55.45
+Leisure,142.97
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+Transport,31.86
+Savings,282.88
+Transport,17.75
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+Housing,484.79
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+Leisure,60.31
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diff --git a/agents/evals/fixtures/cases/pie-basic-matplotlib-renamed/case.json b/agents/evals/fixtures/cases/pie-basic-matplotlib-renamed/case.json
new file mode 100644
index 0000000000..438e9209e9
--- /dev/null
+++ b/agents/evals/fixtures/cases/pie-basic-matplotlib-renamed/case.json
@@ -0,0 +1,24 @@
+{
+  "spec_id": "pie-basic",
+  "library": "matplotlib",
+  "locale": "de",
+  "perturbation": "renamed",
+  "bindings": [
+    {
+      "role": "category",
+      "column": "Ausgabenposten"
+    },
+    {
+      "role": "value",
+      "column": "Betrag CHF"
+    }
+  ],
+  "expected": "accepted",
+  "tags": [
+    "pie",
+    "renamed",
+    "synthetic",
+    "renamed-headers"
+  ],
+  "source": "synthetic: agents/evals/make_fixtures.py (seed 909, renamed)"
+}
diff --git a/agents/evals/fixtures/cases/pie-basic-matplotlib-renamed/data.csv b/agents/evals/fixtures/cases/pie-basic-matplotlib-renamed/data.csv
new file mode 100644
index 0000000000..e8f468eb77
--- /dev/null
+++ b/agents/evals/fixtures/cases/pie-basic-matplotlib-renamed/data.csv
@@ -0,0 +1,7 @@
+Ausgabenposten,Betrag CHF
+Housing,1913.25
+Food,692.31
+Transport,402.45
+Leisure,337.19
+Health,244.50
+Savings,648.13
diff --git a/agents/evals/fixtures/cases/pie-basic-matplotlib-x10/case.json b/agents/evals/fixtures/cases/pie-basic-matplotlib-x10/case.json
new file mode 100644
index 0000000000..305bd4e2be
--- /dev/null
+++ b/agents/evals/fixtures/cases/pie-basic-matplotlib-x10/case.json
@@ -0,0 +1,24 @@
+{
+  "spec_id": "pie-basic",
+  "library": "matplotlib",
+  "locale": "en",
+  "perturbation": "x10",
+  "bindings": [
+    {
+      "role": "category",
+      "column": "Expense Category"
+    },
+    {
+      "role": "value",
+      "column": "Amount (CHF)"
+    }
+  ],
+  "expected": "accepted",
+  "tags": [
+    "pie",
+    "x10",
+    "synthetic",
+    "scaled-values"
+  ],
+  "source": "synthetic: agents/evals/make_fixtures.py (seed 909, x10)"
+}
diff --git a/agents/evals/fixtures/cases/pie-basic-matplotlib-x10/data.csv b/agents/evals/fixtures/cases/pie-basic-matplotlib-x10/data.csv
new file mode 100644
index 0000000000..5d1b1cfa04
--- /dev/null
+++ b/agents/evals/fixtures/cases/pie-basic-matplotlib-x10/data.csv
@@ -0,0 +1,7 @@
+Expense Category,Amount (CHF)
+Housing,19132.53
+Food,6923.09
+Transport,4024.49
+Leisure,3371.93
+Health,2445.05
+Savings,6481.28
diff --git a/agents/evals/fixtures/cases/pie-basic-seaborn-date/case.json b/agents/evals/fixtures/cases/pie-basic-seaborn-date/case.json
new file mode 100644
index 0000000000..ac8e7b9724
--- /dev/null
+++ b/agents/evals/fixtures/cases/pie-basic-seaborn-date/case.json
@@ -0,0 +1,26 @@
+{
+  "spec_id": "pie-basic",
+  "library": "seaborn",
+  "locale": "en",
+  "perturbation": "date",
+  "bindings": [
+    {
+      "role": "category",
+      "column": "Expense Category"
+    },
+    {
+      "role": "value",
+      "column": "Amount (CHF)"
+    }
+  ],
+  "expected": "accepted",
+  "tags": [
+    "pie",
+    "date",
+    "synthetic",
+    "dd.mm.yyyy",
+    "iso-date",
+    "unbound-dates"
+  ],
+  "source": "synthetic: agents/evals/make_fixtures.py (seed 909, date)"
+}
diff --git a/agents/evals/fixtures/cases/pie-basic-seaborn-date/data.csv b/agents/evals/fixtures/cases/pie-basic-seaborn-date/data.csv
new file mode 100644
index 0000000000..a243c78806
--- /dev/null
+++ b/agents/evals/fixtures/cases/pie-basic-seaborn-date/data.csv
@@ -0,0 +1,7 @@
+Expense Category,Amount (CHF),Booking Date,Imported On
+Housing,1913.25,05.05.2026,2026-05-05
+Food,692.31,20.01.2026,2026-01-23
+Transport,402.45,29.03.2026,2026-03-30
+Leisure,337.19,13.05.2026,2026-05-14
+Health,244.50,17.02.2026,2026-02-18
+Savings,648.13,20.03.2026,2026-03-24
diff --git a/agents/evals/fixtures/cases/pie-basic-seaborn-decimal-comma/case.json b/agents/evals/fixtures/cases/pie-basic-seaborn-decimal-comma/case.json
new file mode 100644
index 0000000000..8189ee477e
--- /dev/null
+++ b/agents/evals/fixtures/cases/pie-basic-seaborn-decimal-comma/case.json
@@ -0,0 +1,24 @@
+{
+  "spec_id": "pie-basic",
+  "library": "seaborn",
+  "locale": "de",
+  "perturbation": "decimal-comma",
+  "bindings": [
+    {
+      "role": "category",
+      "column": "Expense Category"
+    },
+    {
+      "role": "value",
+      "column": "Amount (CHF)"
+    }
+  ],
+  "expected": "accepted",
+  "tags": [
+    "pie",
+    "decimal-comma",
+    "synthetic",
+    "semicolon"
+  ],
+  "source": "synthetic: agents/evals/make_fixtures.py (seed 909, decimal-comma)"
+}
diff --git a/agents/evals/fixtures/cases/pie-basic-seaborn-decimal-comma/data.csv b/agents/evals/fixtures/cases/pie-basic-seaborn-decimal-comma/data.csv
new file mode 100644
index 0000000000..2d4e55ae01
--- /dev/null
+++ b/agents/evals/fixtures/cases/pie-basic-seaborn-decimal-comma/data.csv
@@ -0,0 +1,7 @@
+Expense Category;Amount (CHF)
+Housing;1913,25
+Food;692,31
+Transport;402,45
+Leisure;337,19
+Health;244,50
+Savings;648,13
diff --git a/agents/evals/fixtures/cases/pie-basic-seaborn-n12/case.json b/agents/evals/fixtures/cases/pie-basic-seaborn-n12/case.json
new file mode 100644
index 0000000000..5cfad366e3
--- /dev/null
+++ b/agents/evals/fixtures/cases/pie-basic-seaborn-n12/case.json
@@ -0,0 +1,24 @@
+{
+  "spec_id": "pie-basic",
+  "library": "seaborn",
+  "locale": "en",
+  "perturbation": "n12",
+  "bindings": [
+    {
+      "role": "category",
+      "column": "Expense Category"
+    },
+    {
+      "role": "value",
+      "column": "Amount (CHF)"
+    }
+  ],
+  "expected": "accepted",
+  "tags": [
+    "pie",
+    "n12",
+    "synthetic",
+    "small"
+  ],
+  "source": "synthetic: agents/evals/make_fixtures.py (seed 909, n12)"
+}
diff --git a/agents/evals/fixtures/cases/pie-basic-seaborn-n12/data.csv b/agents/evals/fixtures/cases/pie-basic-seaborn-n12/data.csv
new file mode 100644
index 0000000000..cd24cc6737
--- /dev/null
+++ b/agents/evals/fixtures/cases/pie-basic-seaborn-n12/data.csv
@@ -0,0 +1,13 @@
+Expense Category,Amount (CHF)
+Housing,1686.23
+Food,719.68
+Transport,443.66
+Leisure,311.31
+Health,236.78
+Savings,595.60
+Insurance,342.29
+Education,138.39
+Clothing,114.95
+Utilities,215.46
+Gifts,55.02
+Other,93.78
diff --git a/agents/evals/fixtures/cases/pie-basic-seaborn-n5000/case.json b/agents/evals/fixtures/cases/pie-basic-seaborn-n5000/case.json
new file mode 100644
index 0000000000..119cb9cbcd
--- /dev/null
+++ b/agents/evals/fixtures/cases/pie-basic-seaborn-n5000/case.json
@@ -0,0 +1,25 @@
+{
+  "spec_id": "pie-basic",
+  "library": "seaborn",
+  "locale": "en",
+  "perturbation": "n5000",
+  "bindings": [
+    {
+      "role": "category",
+      "column": "Expense Category"
+    },
+    {
+      "role": "value",
+      "column": "Amount (CHF)"
+    }
+  ],
+  "expected": "accepted",
+  "tags": [
+    "pie",
+    "n5000",
+    "synthetic",
+    "large",
+    "aggregation"
+  ],
+  "source": "synthetic: agents/evals/make_fixtures.py (seed 909, n5000)"
+}
diff --git a/agents/evals/fixtures/cases/pie-basic-seaborn-n5000/data.csv b/agents/evals/fixtures/cases/pie-basic-seaborn-n5000/data.csv
new file mode 100644
index 0000000000..573db3f08c
--- /dev/null
+++ b/agents/evals/fixtures/cases/pie-basic-seaborn-n5000/data.csv
@@ -0,0 +1,5001 @@
+Expense Category,Amount (CHF)
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+Food,27.01
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+Leisure,28.29
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+Food,33.44
+Health,20.95
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+Food,75.74
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+Food,83.47
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+Leisure,24.47
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+Transport,6.56
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+Transport,45.22
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+Food,37.09
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diff --git a/agents/evals/fixtures/cases/pie-basic-seaborn-renamed/case.json b/agents/evals/fixtures/cases/pie-basic-seaborn-renamed/case.json
new file mode 100644
index 0000000000..6b3341f3ac
--- /dev/null
+++ b/agents/evals/fixtures/cases/pie-basic-seaborn-renamed/case.json
@@ -0,0 +1,24 @@
+{
+  "spec_id": "pie-basic",
+  "library": "seaborn",
+  "locale": "de",
+  "perturbation": "renamed",
+  "bindings": [
+    {
+      "role": "category",
+      "column": "Ausgabenposten"
+    },
+    {
+      "role": "value",
+      "column": "Betrag CHF"
+    }
+  ],
+  "expected": "accepted",
+  "tags": [
+    "pie",
+    "renamed",
+    "synthetic",
+    "renamed-headers"
+  ],
+  "source": "synthetic: agents/evals/make_fixtures.py (seed 909, renamed)"
+}
diff --git a/agents/evals/fixtures/cases/pie-basic-seaborn-renamed/data.csv b/agents/evals/fixtures/cases/pie-basic-seaborn-renamed/data.csv
new file mode 100644
index 0000000000..e8f468eb77
--- /dev/null
+++ b/agents/evals/fixtures/cases/pie-basic-seaborn-renamed/data.csv
@@ -0,0 +1,7 @@
+Ausgabenposten,Betrag CHF
+Housing,1913.25
+Food,692.31
+Transport,402.45
+Leisure,337.19
+Health,244.50
+Savings,648.13
diff --git a/agents/evals/fixtures/cases/pie-basic-seaborn-x10/case.json b/agents/evals/fixtures/cases/pie-basic-seaborn-x10/case.json
new file mode 100644
index 0000000000..9c35b69a32
--- /dev/null
+++ b/agents/evals/fixtures/cases/pie-basic-seaborn-x10/case.json
@@ -0,0 +1,24 @@
+{
+  "spec_id": "pie-basic",
+  "library": "seaborn",
+  "locale": "en",
+  "perturbation": "x10",
+  "bindings": [
+    {
+      "role": "category",
+      "column": "Expense Category"
+    },
+    {
+      "role": "value",
+      "column": "Amount (CHF)"
+    }
+  ],
+  "expected": "accepted",
+  "tags": [
+    "pie",
+    "x10",
+    "synthetic",
+    "scaled-values"
+  ],
+  "source": "synthetic: agents/evals/make_fixtures.py (seed 909, x10)"
+}
diff --git a/agents/evals/fixtures/cases/pie-basic-seaborn-x10/data.csv b/agents/evals/fixtures/cases/pie-basic-seaborn-x10/data.csv
new file mode 100644
index 0000000000..5d1b1cfa04
--- /dev/null
+++ b/agents/evals/fixtures/cases/pie-basic-seaborn-x10/data.csv
@@ -0,0 +1,7 @@
+Expense Category,Amount (CHF)
+Housing,19132.53
+Food,6923.09
+Transport,4024.49
+Leisure,3371.93
+Health,2445.05
+Savings,6481.28
diff --git a/agents/evals/fixtures/cases/scatter-basic-matplotlib-date/case.json b/agents/evals/fixtures/cases/scatter-basic-matplotlib-date/case.json
new file mode 100644
index 0000000000..5b4e7018e1
--- /dev/null
+++ b/agents/evals/fixtures/cases/scatter-basic-matplotlib-date/case.json
@@ -0,0 +1,26 @@
+{
+  "spec_id": "scatter-basic",
+  "library": "matplotlib",
+  "locale": "en",
+  "perturbation": "date",
+  "bindings": [
+    {
+      "role": "x",
+      "column": "Ad Spend (kCHF)"
+    },
+    {
+      "role": "y",
+      "column": "Revenue (kCHF)"
+    }
+  ],
+  "expected": "accepted",
+  "tags": [
+    "scatter",
+    "date",
+    "synthetic",
+    "dd.mm.yyyy",
+    "iso-date",
+    "unbound-dates"
+  ],
+  "source": "synthetic: agents/evals/make_fixtures.py (seed 101, date)"
+}
diff --git a/agents/evals/fixtures/cases/scatter-basic-matplotlib-date/data.csv b/agents/evals/fixtures/cases/scatter-basic-matplotlib-date/data.csv
new file mode 100644
index 0000000000..734bcb2343
--- /dev/null
+++ b/agents/evals/fixtures/cases/scatter-basic-matplotlib-date/data.csv
@@ -0,0 +1,151 @@
+Store,Ad Spend (kCHF),Revenue (kCHF),Campaign Start,Reported On
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diff --git a/agents/evals/fixtures/cases/scatter-basic-matplotlib-decimal-comma/case.json b/agents/evals/fixtures/cases/scatter-basic-matplotlib-decimal-comma/case.json
new file mode 100644
index 0000000000..b28d71db9d
--- /dev/null
+++ b/agents/evals/fixtures/cases/scatter-basic-matplotlib-decimal-comma/case.json
@@ -0,0 +1,24 @@
+{
+  "spec_id": "scatter-basic",
+  "library": "matplotlib",
+  "locale": "de",
+  "perturbation": "decimal-comma",
+  "bindings": [
+    {
+      "role": "x",
+      "column": "Ad Spend (kCHF)"
+    },
+    {
+      "role": "y",
+      "column": "Revenue (kCHF)"
+    }
+  ],
+  "expected": "accepted",
+  "tags": [
+    "scatter",
+    "decimal-comma",
+    "synthetic",
+    "semicolon"
+  ],
+  "source": "synthetic: agents/evals/make_fixtures.py (seed 101, decimal-comma)"
+}
diff --git a/agents/evals/fixtures/cases/scatter-basic-matplotlib-decimal-comma/data.csv b/agents/evals/fixtures/cases/scatter-basic-matplotlib-decimal-comma/data.csv
new file mode 100644
index 0000000000..af311d49fb
--- /dev/null
+++ b/agents/evals/fixtures/cases/scatter-basic-matplotlib-decimal-comma/data.csv
@@ -0,0 +1,151 @@
+Store;Ad Spend (kCHF);Revenue (kCHF)
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diff --git a/agents/evals/fixtures/cases/scatter-basic-matplotlib-n12/case.json b/agents/evals/fixtures/cases/scatter-basic-matplotlib-n12/case.json
new file mode 100644
index 0000000000..8c706803d9
--- /dev/null
+++ b/agents/evals/fixtures/cases/scatter-basic-matplotlib-n12/case.json
@@ -0,0 +1,24 @@
+{
+  "spec_id": "scatter-basic",
+  "library": "matplotlib",
+  "locale": "en",
+  "perturbation": "n12",
+  "bindings": [
+    {
+      "role": "x",
+      "column": "Ad Spend (kCHF)"
+    },
+    {
+      "role": "y",
+      "column": "Revenue (kCHF)"
+    }
+  ],
+  "expected": "accepted",
+  "tags": [
+    "scatter",
+    "n12",
+    "synthetic",
+    "small"
+  ],
+  "source": "synthetic: agents/evals/make_fixtures.py (seed 101, n12)"
+}
diff --git a/agents/evals/fixtures/cases/scatter-basic-matplotlib-n12/data.csv b/agents/evals/fixtures/cases/scatter-basic-matplotlib-n12/data.csv
new file mode 100644
index 0000000000..5c1c20f3ee
--- /dev/null
+++ b/agents/evals/fixtures/cases/scatter-basic-matplotlib-n12/data.csv
@@ -0,0 +1,13 @@
+Store,Ad Spend (kCHF),Revenue (kCHF)
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diff --git a/agents/evals/fixtures/cases/scatter-basic-matplotlib-n5000/case.json b/agents/evals/fixtures/cases/scatter-basic-matplotlib-n5000/case.json
new file mode 100644
index 0000000000..49ec872ffa
--- /dev/null
+++ b/agents/evals/fixtures/cases/scatter-basic-matplotlib-n5000/case.json
@@ -0,0 +1,24 @@
+{
+  "spec_id": "scatter-basic",
+  "library": "matplotlib",
+  "locale": "en",
+  "perturbation": "n5000",
+  "bindings": [
+    {
+      "role": "x",
+      "column": "Ad Spend (kCHF)"
+    },
+    {
+      "role": "y",
+      "column": "Revenue (kCHF)"
+    }
+  ],
+  "expected": "accepted",
+  "tags": [
+    "scatter",
+    "n5000",
+    "synthetic",
+    "large"
+  ],
+  "source": "synthetic: agents/evals/make_fixtures.py (seed 101, n5000)"
+}
diff --git a/agents/evals/fixtures/cases/scatter-basic-matplotlib-n5000/data.csv b/agents/evals/fixtures/cases/scatter-basic-matplotlib-n5000/data.csv
new file mode 100644
index 0000000000..873d2f0082
--- /dev/null
+++ b/agents/evals/fixtures/cases/scatter-basic-matplotlib-n5000/data.csv
@@ -0,0 +1,5001 @@
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diff --git a/agents/evals/fixtures/cases/scatter-basic-matplotlib-renamed/case.json b/agents/evals/fixtures/cases/scatter-basic-matplotlib-renamed/case.json
new file mode 100644
index 0000000000..620fa87c17
--- /dev/null
+++ b/agents/evals/fixtures/cases/scatter-basic-matplotlib-renamed/case.json
@@ -0,0 +1,25 @@
+{
+  "spec_id": "scatter-basic",
+  "library": "matplotlib",
+  "locale": "de",
+  "perturbation": "renamed",
+  "bindings": [
+    {
+      "role": "x",
+      "column": "Werbebudget in Tsd. CHF"
+    },
+    {
+      "role": "y",
+      "column": "Umsatz in Tsd. CHF"
+    }
+  ],
+  "expected": "accepted",
+  "tags": [
+    "scatter",
+    "renamed",
+    "synthetic",
+    "renamed-headers",
+    "smoke"
+  ],
+  "source": "synthetic: agents/evals/make_fixtures.py (seed 101, renamed)"
+}
diff --git a/agents/evals/fixtures/cases/scatter-basic-matplotlib-renamed/data.csv b/agents/evals/fixtures/cases/scatter-basic-matplotlib-renamed/data.csv
new file mode 100644
index 0000000000..a0cf2f9f32
--- /dev/null
+++ b/agents/evals/fixtures/cases/scatter-basic-matplotlib-renamed/data.csv
@@ -0,0 +1,151 @@
+Filiale,Werbebudget in Tsd. CHF,Umsatz in Tsd. CHF
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diff --git a/agents/evals/fixtures/cases/scatter-basic-matplotlib-x10/case.json b/agents/evals/fixtures/cases/scatter-basic-matplotlib-x10/case.json
new file mode 100644
index 0000000000..d2fe9ca3c5
--- /dev/null
+++ b/agents/evals/fixtures/cases/scatter-basic-matplotlib-x10/case.json
@@ -0,0 +1,24 @@
+{
+  "spec_id": "scatter-basic",
+  "library": "matplotlib",
+  "locale": "en",
+  "perturbation": "x10",
+  "bindings": [
+    {
+      "role": "x",
+      "column": "Ad Spend (kCHF)"
+    },
+    {
+      "role": "y",
+      "column": "Revenue (kCHF)"
+    }
+  ],
+  "expected": "accepted",
+  "tags": [
+    "scatter",
+    "x10",
+    "synthetic",
+    "scaled-values"
+  ],
+  "source": "synthetic: agents/evals/make_fixtures.py (seed 101, x10)"
+}
diff --git a/agents/evals/fixtures/cases/scatter-basic-matplotlib-x10/data.csv b/agents/evals/fixtures/cases/scatter-basic-matplotlib-x10/data.csv
new file mode 100644
index 0000000000..069cc23cad
--- /dev/null
+++ b/agents/evals/fixtures/cases/scatter-basic-matplotlib-x10/data.csv
@@ -0,0 +1,151 @@
+Store,Ad Spend (kCHF),Revenue (kCHF)
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diff --git a/agents/evals/fixtures/cases/scatter-basic-matplotlib/case.json b/agents/evals/fixtures/cases/scatter-basic-matplotlib/case.json
index a1ea58cb0d..02e73f5933 100644
--- a/agents/evals/fixtures/cases/scatter-basic-matplotlib/case.json
+++ b/agents/evals/fixtures/cases/scatter-basic-matplotlib/case.json
@@ -7,5 +7,6 @@
     {"role": "y", "column": "Exam Score"}
   ],
   "expected": "accepted",
-  "tags": ["numeric", "renamed-columns", "small"]
+  "tags": ["numeric", "renamed-columns", "small", "smoke"],
+  "source": "hand-written synthetic data"
 }
diff --git a/agents/evals/fixtures/cases/scatter-basic-seaborn-date/case.json b/agents/evals/fixtures/cases/scatter-basic-seaborn-date/case.json
new file mode 100644
index 0000000000..683f2efcb5
--- /dev/null
+++ b/agents/evals/fixtures/cases/scatter-basic-seaborn-date/case.json
@@ -0,0 +1,26 @@
+{
+  "spec_id": "scatter-basic",
+  "library": "seaborn",
+  "locale": "en",
+  "perturbation": "date",
+  "bindings": [
+    {
+      "role": "x",
+      "column": "Ad Spend (kCHF)"
+    },
+    {
+      "role": "y",
+      "column": "Revenue (kCHF)"
+    }
+  ],
+  "expected": "accepted",
+  "tags": [
+    "scatter",
+    "date",
+    "synthetic",
+    "dd.mm.yyyy",
+    "iso-date",
+    "unbound-dates"
+  ],
+  "source": "synthetic: agents/evals/make_fixtures.py (seed 101, date)"
+}
diff --git a/agents/evals/fixtures/cases/scatter-basic-seaborn-date/data.csv b/agents/evals/fixtures/cases/scatter-basic-seaborn-date/data.csv
new file mode 100644
index 0000000000..734bcb2343
--- /dev/null
+++ b/agents/evals/fixtures/cases/scatter-basic-seaborn-date/data.csv
@@ -0,0 +1,151 @@
+Store,Ad Spend (kCHF),Revenue (kCHF),Campaign Start,Reported On
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diff --git a/agents/evals/fixtures/cases/scatter-basic-seaborn-decimal-comma/case.json b/agents/evals/fixtures/cases/scatter-basic-seaborn-decimal-comma/case.json
new file mode 100644
index 0000000000..fcda9c570d
--- /dev/null
+++ b/agents/evals/fixtures/cases/scatter-basic-seaborn-decimal-comma/case.json
@@ -0,0 +1,24 @@
+{
+  "spec_id": "scatter-basic",
+  "library": "seaborn",
+  "locale": "de",
+  "perturbation": "decimal-comma",
+  "bindings": [
+    {
+      "role": "x",
+      "column": "Ad Spend (kCHF)"
+    },
+    {
+      "role": "y",
+      "column": "Revenue (kCHF)"
+    }
+  ],
+  "expected": "accepted",
+  "tags": [
+    "scatter",
+    "decimal-comma",
+    "synthetic",
+    "semicolon"
+  ],
+  "source": "synthetic: agents/evals/make_fixtures.py (seed 101, decimal-comma)"
+}
diff --git a/agents/evals/fixtures/cases/scatter-basic-seaborn-decimal-comma/data.csv b/agents/evals/fixtures/cases/scatter-basic-seaborn-decimal-comma/data.csv
new file mode 100644
index 0000000000..af311d49fb
--- /dev/null
+++ b/agents/evals/fixtures/cases/scatter-basic-seaborn-decimal-comma/data.csv
@@ -0,0 +1,151 @@
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diff --git a/agents/evals/fixtures/cases/scatter-basic-seaborn-n12/case.json b/agents/evals/fixtures/cases/scatter-basic-seaborn-n12/case.json
new file mode 100644
index 0000000000..b2ecc4fdc1
--- /dev/null
+++ b/agents/evals/fixtures/cases/scatter-basic-seaborn-n12/case.json
@@ -0,0 +1,24 @@
+{
+  "spec_id": "scatter-basic",
+  "library": "seaborn",
+  "locale": "en",
+  "perturbation": "n12",
+  "bindings": [
+    {
+      "role": "x",
+      "column": "Ad Spend (kCHF)"
+    },
+    {
+      "role": "y",
+      "column": "Revenue (kCHF)"
+    }
+  ],
+  "expected": "accepted",
+  "tags": [
+    "scatter",
+    "n12",
+    "synthetic",
+    "small"
+  ],
+  "source": "synthetic: agents/evals/make_fixtures.py (seed 101, n12)"
+}
diff --git a/agents/evals/fixtures/cases/scatter-basic-seaborn-n12/data.csv b/agents/evals/fixtures/cases/scatter-basic-seaborn-n12/data.csv
new file mode 100644
index 0000000000..5c1c20f3ee
--- /dev/null
+++ b/agents/evals/fixtures/cases/scatter-basic-seaborn-n12/data.csv
@@ -0,0 +1,13 @@
+Store,Ad Spend (kCHF),Revenue (kCHF)
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diff --git a/agents/evals/fixtures/cases/scatter-basic-seaborn-n5000/case.json b/agents/evals/fixtures/cases/scatter-basic-seaborn-n5000/case.json
new file mode 100644
index 0000000000..e58a475334
--- /dev/null
+++ b/agents/evals/fixtures/cases/scatter-basic-seaborn-n5000/case.json
@@ -0,0 +1,24 @@
+{
+  "spec_id": "scatter-basic",
+  "library": "seaborn",
+  "locale": "en",
+  "perturbation": "n5000",
+  "bindings": [
+    {
+      "role": "x",
+      "column": "Ad Spend (kCHF)"
+    },
+    {
+      "role": "y",
+      "column": "Revenue (kCHF)"
+    }
+  ],
+  "expected": "accepted",
+  "tags": [
+    "scatter",
+    "n5000",
+    "synthetic",
+    "large"
+  ],
+  "source": "synthetic: agents/evals/make_fixtures.py (seed 101, n5000)"
+}
diff --git a/agents/evals/fixtures/cases/scatter-basic-seaborn-n5000/data.csv b/agents/evals/fixtures/cases/scatter-basic-seaborn-n5000/data.csv
new file mode 100644
index 0000000000..873d2f0082
--- /dev/null
+++ b/agents/evals/fixtures/cases/scatter-basic-seaborn-n5000/data.csv
@@ -0,0 +1,5001 @@
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diff --git a/agents/evals/fixtures/cases/scatter-basic-seaborn-renamed/case.json b/agents/evals/fixtures/cases/scatter-basic-seaborn-renamed/case.json
new file mode 100644
index 0000000000..02252851d0
--- /dev/null
+++ b/agents/evals/fixtures/cases/scatter-basic-seaborn-renamed/case.json
@@ -0,0 +1,24 @@
+{
+  "spec_id": "scatter-basic",
+  "library": "seaborn",
+  "locale": "de",
+  "perturbation": "renamed",
+  "bindings": [
+    {
+      "role": "x",
+      "column": "Werbebudget in Tsd. CHF"
+    },
+    {
+      "role": "y",
+      "column": "Umsatz in Tsd. CHF"
+    }
+  ],
+  "expected": "accepted",
+  "tags": [
+    "scatter",
+    "renamed",
+    "synthetic",
+    "renamed-headers"
+  ],
+  "source": "synthetic: agents/evals/make_fixtures.py (seed 101, renamed)"
+}
diff --git a/agents/evals/fixtures/cases/scatter-basic-seaborn-renamed/data.csv b/agents/evals/fixtures/cases/scatter-basic-seaborn-renamed/data.csv
new file mode 100644
index 0000000000..a0cf2f9f32
--- /dev/null
+++ b/agents/evals/fixtures/cases/scatter-basic-seaborn-renamed/data.csv
@@ -0,0 +1,151 @@
+Filiale,Werbebudget in Tsd. CHF,Umsatz in Tsd. CHF
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diff --git a/agents/evals/fixtures/cases/scatter-basic-seaborn-x10/case.json b/agents/evals/fixtures/cases/scatter-basic-seaborn-x10/case.json
new file mode 100644
index 0000000000..a730c85965
--- /dev/null
+++ b/agents/evals/fixtures/cases/scatter-basic-seaborn-x10/case.json
@@ -0,0 +1,24 @@
+{
+  "spec_id": "scatter-basic",
+  "library": "seaborn",
+  "locale": "en",
+  "perturbation": "x10",
+  "bindings": [
+    {
+      "role": "x",
+      "column": "Ad Spend (kCHF)"
+    },
+    {
+      "role": "y",
+      "column": "Revenue (kCHF)"
+    }
+  ],
+  "expected": "accepted",
+  "tags": [
+    "scatter",
+    "x10",
+    "synthetic",
+    "scaled-values"
+  ],
+  "source": "synthetic: agents/evals/make_fixtures.py (seed 101, x10)"
+}
diff --git a/agents/evals/fixtures/cases/scatter-basic-seaborn-x10/data.csv b/agents/evals/fixtures/cases/scatter-basic-seaborn-x10/data.csv
new file mode 100644
index 0000000000..069cc23cad
--- /dev/null
+++ b/agents/evals/fixtures/cases/scatter-basic-seaborn-x10/data.csv
@@ -0,0 +1,151 @@
+Store,Ad Spend (kCHF),Revenue (kCHF)
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diff --git a/agents/evals/fixtures/cases/violin-basic-matplotlib-date/case.json b/agents/evals/fixtures/cases/violin-basic-matplotlib-date/case.json
new file mode 100644
index 0000000000..8ec84ba225
--- /dev/null
+++ b/agents/evals/fixtures/cases/violin-basic-matplotlib-date/case.json
@@ -0,0 +1,26 @@
+{
+  "spec_id": "violin-basic",
+  "library": "matplotlib",
+  "locale": "en",
+  "perturbation": "date",
+  "bindings": [
+    {
+      "role": "category",
+      "column": "Customer Segment"
+    },
+    {
+      "role": "value",
+      "column": "Basket Value (EUR)"
+    }
+  ],
+  "expected": "accepted",
+  "tags": [
+    "violin",
+    "date",
+    "synthetic",
+    "dd.mm.yyyy",
+    "iso-date",
+    "unbound-dates"
+  ],
+  "source": "synthetic: agents/evals/make_fixtures.py (seed 808, date)"
+}
diff --git a/agents/evals/fixtures/cases/violin-basic-matplotlib-date/data.csv b/agents/evals/fixtures/cases/violin-basic-matplotlib-date/data.csv
new file mode 100644
index 0000000000..0f22af43f2
--- /dev/null
+++ b/agents/evals/fixtures/cases/violin-basic-matplotlib-date/data.csv
@@ -0,0 +1,401 @@
+Customer Segment,Basket Value (EUR),Purchase Date,Synced On
+Students,14.07,26.06.2026,2026-06-26
+Families,98.65,05.04.2026,2026-04-06
+Retirees,63.77,08.03.2026,2026-03-08
+Professionals,54.23,02.05.2026,2026-05-02
+Students,7.03,08.01.2026,2026-01-09
+Families,89.88,25.02.2026,2026-03-01
+Retirees,34.77,30.05.2026,2026-06-01
+Professionals,50.78,17.04.2026,2026-04-18
+Students,17.69,09.04.2026,2026-04-12
+Families,134.75,31.05.2026,2026-06-03
+Retirees,30.60,27.02.2026,2026-03-03
+Professionals,62.20,05.04.2026,2026-04-06
+Students,14.92,19.05.2026,2026-05-21
+Families,115.29,03.05.2026,2026-05-05
+Retirees,21.91,13.04.2026,2026-04-13
+Professionals,67.09,08.06.2026,2026-06-09
+Students,19.17,12.06.2026,2026-06-14
+Families,110.73,11.04.2026,2026-04-11
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+Retirees,65.58,25.06.2026,2026-06-25
+Professionals,39.39,12.06.2026,2026-06-12
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+Retirees,71.56,20.04.2026,2026-04-20
+Professionals,31.64,09.03.2026,2026-03-12
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+Families,96.31,28.05.2026,2026-05-28
+Retirees,74.67,04.03.2026,2026-03-05
+Professionals,29.91,01.04.2026,2026-04-03
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+Professionals,59.25,21.06.2026,2026-06-23
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+Professionals,72.96,09.03.2026,2026-03-09
+Students,13.80,28.05.2026,2026-05-31
+Families,119.24,14.04.2026,2026-04-14
+Retirees,72.04,10.06.2026,2026-06-14
+Professionals,36.08,17.04.2026,2026-04-21
diff --git a/agents/evals/fixtures/cases/violin-basic-matplotlib-decimal-comma/case.json b/agents/evals/fixtures/cases/violin-basic-matplotlib-decimal-comma/case.json
new file mode 100644
index 0000000000..96c1b523bc
--- /dev/null
+++ b/agents/evals/fixtures/cases/violin-basic-matplotlib-decimal-comma/case.json
@@ -0,0 +1,24 @@
+{
+  "spec_id": "violin-basic",
+  "library": "matplotlib",
+  "locale": "de",
+  "perturbation": "decimal-comma",
+  "bindings": [
+    {
+      "role": "category",
+      "column": "Customer Segment"
+    },
+    {
+      "role": "value",
+      "column": "Basket Value (EUR)"
+    }
+  ],
+  "expected": "accepted",
+  "tags": [
+    "violin",
+    "decimal-comma",
+    "synthetic",
+    "semicolon"
+  ],
+  "source": "synthetic: agents/evals/make_fixtures.py (seed 808, decimal-comma)"
+}
diff --git a/agents/evals/fixtures/cases/violin-basic-matplotlib-decimal-comma/data.csv b/agents/evals/fixtures/cases/violin-basic-matplotlib-decimal-comma/data.csv
new file mode 100644
index 0000000000..356b2725ba
--- /dev/null
+++ b/agents/evals/fixtures/cases/violin-basic-matplotlib-decimal-comma/data.csv
@@ -0,0 +1,401 @@
+Customer Segment;Basket Value (EUR)
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diff --git a/agents/evals/fixtures/cases/violin-basic-matplotlib-n12/case.json b/agents/evals/fixtures/cases/violin-basic-matplotlib-n12/case.json
new file mode 100644
index 0000000000..f44e50e255
--- /dev/null
+++ b/agents/evals/fixtures/cases/violin-basic-matplotlib-n12/case.json
@@ -0,0 +1,24 @@
+{
+  "spec_id": "violin-basic",
+  "library": "matplotlib",
+  "locale": "en",
+  "perturbation": "n12",
+  "bindings": [
+    {
+      "role": "category",
+      "column": "Customer Segment"
+    },
+    {
+      "role": "value",
+      "column": "Basket Value (EUR)"
+    }
+  ],
+  "expected": "accepted",
+  "tags": [
+    "violin",
+    "n12",
+    "synthetic",
+    "small"
+  ],
+  "source": "synthetic: agents/evals/make_fixtures.py (seed 808, n12)"
+}
diff --git a/agents/evals/fixtures/cases/violin-basic-matplotlib-n12/data.csv b/agents/evals/fixtures/cases/violin-basic-matplotlib-n12/data.csv
new file mode 100644
index 0000000000..5996aed843
--- /dev/null
+++ b/agents/evals/fixtures/cases/violin-basic-matplotlib-n12/data.csv
@@ -0,0 +1,13 @@
+Customer Segment,Basket Value (EUR)
+Students,16.29
+Families,97.22
+Retirees,60.68
+Professionals,109.72
+Students,40.49
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+Retirees,35.05
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diff --git a/agents/evals/fixtures/cases/violin-basic-matplotlib-n5000/case.json b/agents/evals/fixtures/cases/violin-basic-matplotlib-n5000/case.json
new file mode 100644
index 0000000000..42b49341c9
--- /dev/null
+++ b/agents/evals/fixtures/cases/violin-basic-matplotlib-n5000/case.json
@@ -0,0 +1,24 @@
+{
+  "spec_id": "violin-basic",
+  "library": "matplotlib",
+  "locale": "en",
+  "perturbation": "n5000",
+  "bindings": [
+    {
+      "role": "category",
+      "column": "Customer Segment"
+    },
+    {
+      "role": "value",
+      "column": "Basket Value (EUR)"
+    }
+  ],
+  "expected": "accepted",
+  "tags": [
+    "violin",
+    "n5000",
+    "synthetic",
+    "large"
+  ],
+  "source": "synthetic: agents/evals/make_fixtures.py (seed 808, n5000)"
+}
diff --git a/agents/evals/fixtures/cases/violin-basic-matplotlib-n5000/data.csv b/agents/evals/fixtures/cases/violin-basic-matplotlib-n5000/data.csv
new file mode 100644
index 0000000000..80d091d1fb
--- /dev/null
+++ b/agents/evals/fixtures/cases/violin-basic-matplotlib-n5000/data.csv
@@ -0,0 +1,5001 @@
+Customer Segment,Basket Value (EUR)
+Students,29.08
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diff --git a/agents/evals/fixtures/cases/violin-basic-matplotlib-renamed/case.json b/agents/evals/fixtures/cases/violin-basic-matplotlib-renamed/case.json
new file mode 100644
index 0000000000..070366fa76
--- /dev/null
+++ b/agents/evals/fixtures/cases/violin-basic-matplotlib-renamed/case.json
@@ -0,0 +1,24 @@
+{
+  "spec_id": "violin-basic",
+  "library": "matplotlib",
+  "locale": "de",
+  "perturbation": "renamed",
+  "bindings": [
+    {
+      "role": "category",
+      "column": "segment"
+    },
+    {
+      "role": "value",
+      "column": "basket_eur"
+    }
+  ],
+  "expected": "accepted",
+  "tags": [
+    "violin",
+    "renamed",
+    "synthetic",
+    "renamed-headers"
+  ],
+  "source": "synthetic: agents/evals/make_fixtures.py (seed 808, renamed)"
+}
diff --git a/agents/evals/fixtures/cases/violin-basic-matplotlib-renamed/data.csv b/agents/evals/fixtures/cases/violin-basic-matplotlib-renamed/data.csv
new file mode 100644
index 0000000000..f88e643436
--- /dev/null
+++ b/agents/evals/fixtures/cases/violin-basic-matplotlib-renamed/data.csv
@@ -0,0 +1,401 @@
+segment,basket_eur
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diff --git a/agents/evals/fixtures/cases/violin-basic-matplotlib-x10/case.json b/agents/evals/fixtures/cases/violin-basic-matplotlib-x10/case.json
new file mode 100644
index 0000000000..aa6ec01035
--- /dev/null
+++ b/agents/evals/fixtures/cases/violin-basic-matplotlib-x10/case.json
@@ -0,0 +1,24 @@
+{
+  "spec_id": "violin-basic",
+  "library": "matplotlib",
+  "locale": "en",
+  "perturbation": "x10",
+  "bindings": [
+    {
+      "role": "category",
+      "column": "Customer Segment"
+    },
+    {
+      "role": "value",
+      "column": "Basket Value (EUR)"
+    }
+  ],
+  "expected": "accepted",
+  "tags": [
+    "violin",
+    "x10",
+    "synthetic",
+    "scaled-values"
+  ],
+  "source": "synthetic: agents/evals/make_fixtures.py (seed 808, x10)"
+}
diff --git a/agents/evals/fixtures/cases/violin-basic-matplotlib-x10/data.csv b/agents/evals/fixtures/cases/violin-basic-matplotlib-x10/data.csv
new file mode 100644
index 0000000000..abbd5353be
--- /dev/null
+++ b/agents/evals/fixtures/cases/violin-basic-matplotlib-x10/data.csv
@@ -0,0 +1,401 @@
+Customer Segment,Basket Value (EUR)
+Students,140.71
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diff --git a/agents/evals/fixtures/cases/violin-basic-seaborn-date/case.json b/agents/evals/fixtures/cases/violin-basic-seaborn-date/case.json
new file mode 100644
index 0000000000..d0d834855e
--- /dev/null
+++ b/agents/evals/fixtures/cases/violin-basic-seaborn-date/case.json
@@ -0,0 +1,26 @@
+{
+  "spec_id": "violin-basic",
+  "library": "seaborn",
+  "locale": "en",
+  "perturbation": "date",
+  "bindings": [
+    {
+      "role": "category",
+      "column": "Customer Segment"
+    },
+    {
+      "role": "value",
+      "column": "Basket Value (EUR)"
+    }
+  ],
+  "expected": "accepted",
+  "tags": [
+    "violin",
+    "date",
+    "synthetic",
+    "dd.mm.yyyy",
+    "iso-date",
+    "unbound-dates"
+  ],
+  "source": "synthetic: agents/evals/make_fixtures.py (seed 808, date)"
+}
diff --git a/agents/evals/fixtures/cases/violin-basic-seaborn-date/data.csv b/agents/evals/fixtures/cases/violin-basic-seaborn-date/data.csv
new file mode 100644
index 0000000000..0f22af43f2
--- /dev/null
+++ b/agents/evals/fixtures/cases/violin-basic-seaborn-date/data.csv
@@ -0,0 +1,401 @@
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diff --git a/agents/evals/fixtures/cases/violin-basic-seaborn-decimal-comma/case.json b/agents/evals/fixtures/cases/violin-basic-seaborn-decimal-comma/case.json
new file mode 100644
index 0000000000..0498749692
--- /dev/null
+++ b/agents/evals/fixtures/cases/violin-basic-seaborn-decimal-comma/case.json
@@ -0,0 +1,24 @@
+{
+  "spec_id": "violin-basic",
+  "library": "seaborn",
+  "locale": "de",
+  "perturbation": "decimal-comma",
+  "bindings": [
+    {
+      "role": "category",
+      "column": "Customer Segment"
+    },
+    {
+      "role": "value",
+      "column": "Basket Value (EUR)"
+    }
+  ],
+  "expected": "accepted",
+  "tags": [
+    "violin",
+    "decimal-comma",
+    "synthetic",
+    "semicolon"
+  ],
+  "source": "synthetic: agents/evals/make_fixtures.py (seed 808, decimal-comma)"
+}
diff --git a/agents/evals/fixtures/cases/violin-basic-seaborn-decimal-comma/data.csv b/agents/evals/fixtures/cases/violin-basic-seaborn-decimal-comma/data.csv
new file mode 100644
index 0000000000..356b2725ba
--- /dev/null
+++ b/agents/evals/fixtures/cases/violin-basic-seaborn-decimal-comma/data.csv
@@ -0,0 +1,401 @@
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diff --git a/agents/evals/fixtures/cases/violin-basic-seaborn-n12/case.json b/agents/evals/fixtures/cases/violin-basic-seaborn-n12/case.json
new file mode 100644
index 0000000000..b46d98b6c6
--- /dev/null
+++ b/agents/evals/fixtures/cases/violin-basic-seaborn-n12/case.json
@@ -0,0 +1,24 @@
+{
+  "spec_id": "violin-basic",
+  "library": "seaborn",
+  "locale": "en",
+  "perturbation": "n12",
+  "bindings": [
+    {
+      "role": "category",
+      "column": "Customer Segment"
+    },
+    {
+      "role": "value",
+      "column": "Basket Value (EUR)"
+    }
+  ],
+  "expected": "accepted",
+  "tags": [
+    "violin",
+    "n12",
+    "synthetic",
+    "small"
+  ],
+  "source": "synthetic: agents/evals/make_fixtures.py (seed 808, n12)"
+}
diff --git a/agents/evals/fixtures/cases/violin-basic-seaborn-n12/data.csv b/agents/evals/fixtures/cases/violin-basic-seaborn-n12/data.csv
new file mode 100644
index 0000000000..5996aed843
--- /dev/null
+++ b/agents/evals/fixtures/cases/violin-basic-seaborn-n12/data.csv
@@ -0,0 +1,13 @@
+Customer Segment,Basket Value (EUR)
+Students,16.29
+Families,97.22
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+Students,40.49
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diff --git a/agents/evals/fixtures/cases/violin-basic-seaborn-n5000/case.json b/agents/evals/fixtures/cases/violin-basic-seaborn-n5000/case.json
new file mode 100644
index 0000000000..d8527fde8d
--- /dev/null
+++ b/agents/evals/fixtures/cases/violin-basic-seaborn-n5000/case.json
@@ -0,0 +1,24 @@
+{
+  "spec_id": "violin-basic",
+  "library": "seaborn",
+  "locale": "en",
+  "perturbation": "n5000",
+  "bindings": [
+    {
+      "role": "category",
+      "column": "Customer Segment"
+    },
+    {
+      "role": "value",
+      "column": "Basket Value (EUR)"
+    }
+  ],
+  "expected": "accepted",
+  "tags": [
+    "violin",
+    "n5000",
+    "synthetic",
+    "large"
+  ],
+  "source": "synthetic: agents/evals/make_fixtures.py (seed 808, n5000)"
+}
diff --git a/agents/evals/fixtures/cases/violin-basic-seaborn-n5000/data.csv b/agents/evals/fixtures/cases/violin-basic-seaborn-n5000/data.csv
new file mode 100644
index 0000000000..80d091d1fb
--- /dev/null
+++ b/agents/evals/fixtures/cases/violin-basic-seaborn-n5000/data.csv
@@ -0,0 +1,5001 @@
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diff --git a/agents/evals/fixtures/cases/violin-basic-seaborn-renamed/case.json b/agents/evals/fixtures/cases/violin-basic-seaborn-renamed/case.json
new file mode 100644
index 0000000000..d3c3ef58b0
--- /dev/null
+++ b/agents/evals/fixtures/cases/violin-basic-seaborn-renamed/case.json
@@ -0,0 +1,24 @@
+{
+  "spec_id": "violin-basic",
+  "library": "seaborn",
+  "locale": "de",
+  "perturbation": "renamed",
+  "bindings": [
+    {
+      "role": "category",
+      "column": "segment"
+    },
+    {
+      "role": "value",
+      "column": "basket_eur"
+    }
+  ],
+  "expected": "accepted",
+  "tags": [
+    "violin",
+    "renamed",
+    "synthetic",
+    "renamed-headers"
+  ],
+  "source": "synthetic: agents/evals/make_fixtures.py (seed 808, renamed)"
+}
diff --git a/agents/evals/fixtures/cases/violin-basic-seaborn-renamed/data.csv b/agents/evals/fixtures/cases/violin-basic-seaborn-renamed/data.csv
new file mode 100644
index 0000000000..f88e643436
--- /dev/null
+++ b/agents/evals/fixtures/cases/violin-basic-seaborn-renamed/data.csv
@@ -0,0 +1,401 @@
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diff --git a/agents/evals/fixtures/cases/violin-basic-seaborn-x10/case.json b/agents/evals/fixtures/cases/violin-basic-seaborn-x10/case.json
new file mode 100644
index 0000000000..a7ab12b843
--- /dev/null
+++ b/agents/evals/fixtures/cases/violin-basic-seaborn-x10/case.json
@@ -0,0 +1,25 @@
+{
+  "spec_id": "violin-basic",
+  "library": "seaborn",
+  "locale": "en",
+  "perturbation": "x10",
+  "bindings": [
+    {
+      "role": "category",
+      "column": "Customer Segment"
+    },
+    {
+      "role": "value",
+      "column": "Basket Value (EUR)"
+    }
+  ],
+  "expected": "accepted",
+  "tags": [
+    "violin",
+    "x10",
+    "synthetic",
+    "scaled-values",
+    "smoke"
+  ],
+  "source": "synthetic: agents/evals/make_fixtures.py (seed 808, x10)"
+}
diff --git a/agents/evals/fixtures/cases/violin-basic-seaborn-x10/data.csv b/agents/evals/fixtures/cases/violin-basic-seaborn-x10/data.csv
new file mode 100644
index 0000000000..abbd5353be
--- /dev/null
+++ b/agents/evals/fixtures/cases/violin-basic-seaborn-x10/data.csv
@@ -0,0 +1,401 @@
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diff --git a/agents/evals/make_fixtures.py b/agents/evals/make_fixtures.py
new file mode 100644
index 0000000000..a97c9b0f20
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+"""Generate the synthetic spike-X fixture cases: 10 specs x matplotlib and seaborn x 6 perturbations.
+
+Every dataset is invented and drawn from a seeded NumPy generator, so a rerun writes
+byte-identical files. Run it from the repository root:
+
+    uv run --extra agents python -m agents.evals.make_fixtures          # (re)write the 120 cases
+    uv run --extra agents python -m agents.evals.make_fixtures --check  # exit 1 when a file is stale
+
+It writes `agents/evals/fixtures/cases/<spec>-<library>-<perturbation>/` with
+`case.json` and `data.csv` and leaves every other case directory alone (the two
+hand-written cases `scatter-basic-matplotlib` and `bar-grouped-seaborn` stay as they
+are). A NumPy upgrade that changes a random stream makes `--check` and the unit test
+fail; rerun the generator and commit the result.
+
+**The ten specs.** Each covers another plot family, and the readiness scan
+(`agents/anyplot/code/readiness.py`) marks both its matplotlib and its seaborn file
+`clean` or `coupled`, never `blocked` (`tests/unit/agents/evals/test_make_fixtures.py`
+asserts it):
+
+| Spec | Family | matplotlib | seaborn |
+|---|---|---|---|
+| `scatter-basic` | scatter | coupled | coupled |
+| `line-basic` | line (numeric x) | coupled | coupled |
+| `bar-grouped` | bar (grouped) | coupled | coupled |
+| `histogram-basic` | histogram | coupled | coupled |
+| `box-basic` | box | coupled | coupled |
+| `heatmap-basic` | heatmap | clean | coupled |
+| `area-basic` | area | coupled | coupled |
+| `violin-basic` | violin | coupled | coupled |
+| `pie-basic` | pie | coupled | clean |
+| `line-timeseries` | time series | coupled | coupled |
+
+**The six perturbations** (the datasets of the design's spike-X row):
+
+| Id | Dataset |
+|---|---|
+| `renamed` | the base data with other headers: German with umlauts, units and punctuation, or snake_case |
+| `x10` | the base data with every measured value multiplied by 10 (catches literal axis limits) |
+| `n12` | 12 rows |
+| `n5000` | 5,000 rows; for bar, heatmap and pie these are raw records the plot must aggregate |
+| `date` | the base data with a `DD.MM.YYYY` date column and an ISO date column: the plot's own time axis where the spec has one (`line-basic`, `area-basic`, `line-timeseries`), otherwise two unbound columns the adaptation must leave alone |
+| `decimal-comma` | the base data as semicolon-separated text with decimal commas and `DD.MM.YYYY` dates |
+
+The base data, which `renamed`, `x10`, `date` and `decimal-comma` share, is not a case
+of its own. Every generated case expects `accepted`: each dataset is one a user could
+paste for that spec. No real people, organisations or politics: stores, products,
+customers and stations are invented.
+"""
+
+import argparse
+import csv
+import io
+import itertools
+import json
+import math
+import sys
+from collections.abc import Callable
+from dataclasses import dataclass, replace
+from datetime import date, datetime, timedelta
+from pathlib import Path
+from typing import Literal
+
+import numpy as np
+
+from agents.anyplot.data.parse import MAX_INPUT_BYTES
+from agents.anyplot.schemas import MAX_COLUMN_NAME_CHARS, MAX_ROWS
+
+
+CASES_DIR = Path(__file__).resolve().parent / "fixtures" / "cases"
+LIBRARIES: tuple[str, ...] = ("matplotlib", "seaborn")
+PERTURBATIONS: tuple[str, ...] = ("renamed", "x10", "n12", "n5000", "date", "decimal-comma")
+SMOKE_TAG = "smoke"
+SOURCE = "synthetic: agents/evals/make_fixtures.py"
+
+Value = float | int | str | date | datetime
+DateStyle = Literal["iso", "dmy"]
+
+
+@dataclass(frozen=True)
+class Column:
+    """One dataset column: its header, values, the spec role it binds (if any) and how it is written."""
+
+    name: str
+    values: tuple[Value, ...]
+    role: str | None = None
+    decimals: int = 1
+    measure: bool = False
+    """Multiplied by 10 in the `x10` perturbation."""
+    date_style: DateStyle = "iso"
+
+
+Maker = Callable[[np.random.Generator, int], list[Column]]
+ToDate = Callable[[Value], date | datetime]
+
+
+@dataclass(frozen=True)
+class SpecFixture:
+    """How the cases of one spec are generated."""
+
+    spec_id: str
+    family: str
+    seed: int
+    base_rows: int
+    make: Maker
+    renamed: dict[str, str]
+    date_mode: Literal["extra", "x", "native"]
+    """`extra`: two unbound date columns; `x`: the numeric x column becomes a date; `native`: the spec's date column."""
+    date_names: tuple[str, str]
+    """The `DD.MM.YYYY` column (for `x`, the new x column) and the ISO column of the `date` perturbation."""
+    aggregates: bool = False
+    """Whether `n5000` holds raw records the plot must aggregate (one mark per group, not per row)."""
+    to_date: ToDate | None = None
+    """For `date_mode="x"`: the date of one x value."""
+
+
+# --- Spec data -----------------------------------------------------------------------------
+
+
+def _floats(values: np.ndarray) -> tuple[float, ...]:
+    return tuple(float(value) for value in values)
+
+
+def _scatter(rng: np.random.Generator, n: int) -> list[Column]:
+    """Advertising spend against revenue of invented stores, r about 0.7."""
+    spend = rng.uniform(5, 120, n)
+    revenue = np.clip(40 + 2.1 * spend + rng.normal(0, 70, n), 5, None)
+    return [
+        Column("Store", tuple(f"S{index:04d}" for index in range(1, n + 1))),
+        Column("Ad Spend (kCHF)", _floats(spend), role="x", measure=True),
+        Column("Revenue (kCHF)", _floats(revenue), role="y", measure=True),
+    ]
+
+
+def _line(rng: np.random.Generator, n: int) -> list[Column]:
+    """A tank heating up over two hours: an exponential approach with sensor noise."""
+    minutes = np.linspace(0, 120, n)
+    temperature = 20 + 65 * (1 - np.exp(-minutes / 35)) + rng.normal(0, 0.6, n)
+    return [
+        Column("Elapsed Time (min)", _floats(minutes), role="x", decimals=3 if n > 1000 else 2),
+        Column("Tank Temperature (°C)", _floats(temperature), role="y", measure=True),
+    ]
+
+
+SUBJECTS = ("Mathematics", "Physics", "Chemistry", "Biology", "History")
+SUBJECT_MEANS = (68.0, 64.0, 66.0, 72.0, 75.0)
+GRADES = ("Grade 7", "Grade 8", "Grade 9")
+GRADE_OFFSETS = (0.0, 3.0, 6.0)
+
+
+def _bar(rng: np.random.Generator, n: int) -> list[Column]:
+    """Test scores by subject and grade: one mean per bar, or (n5000) individual scores to average."""
+    if n <= len(SUBJECTS) * len(GRADES):
+        cells = list(itertools.product(range(n // len(GRADES)), range(len(GRADES))))
+        scores = [SUBJECT_MEANS[s] + GRADE_OFFSETS[g] + rng.normal(0, 2.5) for s, g in cells]
+    else:
+        subjects, grades = rng.integers(0, len(SUBJECTS), n), rng.integers(0, len(GRADES), n)
+        cells = list(zip(subjects.tolist(), grades.tolist(), strict=True))
+        scores = np.clip([SUBJECT_MEANS[s] + GRADE_OFFSETS[g] + rng.normal(0, 11) for s, g in cells], 0, 100).tolist()
+    return [
+        Column("Subject", tuple(SUBJECTS[s] for s, _ in cells), role="category"),
+        Column("Grade Level", tuple(GRADES[g] for _, g in cells), role="group"),
+        Column("Test Score", tuple(float(score) for score in scores), role="value", measure=True),
+    ]
+
+
+def _histogram(rng: np.random.Generator, n: int) -> list[Column]:
+    """Delivery times of an invented shop: right-skewed, with a floor of eight minutes."""
+    minutes = 8 + rng.gamma(3.0, 9.0, n)
+    return [
+        Column("Order ID", tuple(f"O-{10001 + index}" for index in range(n))),
+        Column("Delivery Time (min)", _floats(minutes), role="values", measure=True),
+    ]
+
+
+LINES = ("Line A", "Line B", "Line C", "Line D")
+LINE_MEANS = (500.4, 501.2, 499.1, 502.0)
+LINE_SDS = (1.2, 2.0, 1.5, 0.9)
+
+
+def _box(rng: np.random.Generator, n: int) -> list[Column]:
+    """Fill weights of four bottling lines, with a few outliers."""
+    lines = [index % len(LINES) for index in range(n)]
+    weights = [rng.normal(LINE_MEANS[line], LINE_SDS[line]) for line in lines]
+    outliers = rng.random(n) < 0.02
+    shifts = rng.choice([-1.0, 1.0], n) * rng.uniform(6, 9, n)
+    weights = [
+        weight + (shift if outlier else 0.0) for weight, shift, outlier in zip(weights, shifts, outliers, strict=True)
+    ]
+    return [
+        Column("Production Line", tuple(LINES[line] for line in lines), role="category"),
+        Column("Fill Weight (g)", tuple(float(weight) for weight in weights), role="value", measure=True),
+    ]
+
+
+WEEKDAYS = ("Monday", "Tuesday", "Wednesday", "Thursday", "Friday", "Saturday", "Sunday")
+
+
+def _response_profile(day: int, hour: int) -> float:
+    """Mean minutes to the first answer of an invented support desk, by weekday and hour."""
+    load = 6 + 10 * math.exp(-(((hour - 11) / 3) ** 2)) + 6 * math.exp(-(((hour - 15) / 2.5) ** 2))
+    if day >= 5:
+        load = load * 0.6 + 2
+    if hour < 7 or hour > 20:
+        load += 8  # the night shift is thin
+    return load
+
+
+def _heatmap(rng: np.random.Generator, n: int) -> list[Column]:
+    """Response times by weekday and hour: one mean per cell, or (n5000) single tickets to average."""
+    if n == 12:
+        cells = list(itertools.product((0, 2, 4), (8, 12, 16, 20)))
+    elif n <= len(WEEKDAYS) * 24:
+        cells = list(itertools.product(range(len(WEEKDAYS)), range(24)))
+    else:
+        hour_weights = np.array([0.4 if hour < 7 or hour > 20 else 2.0 for hour in range(24)])
+        days = rng.integers(0, len(WEEKDAYS), n)
+        hours = rng.choice(24, n, p=hour_weights / hour_weights.sum())
+        cells = list(zip(days.tolist(), hours.tolist(), strict=True))
+        times = [rng.gamma(2.0, _response_profile(day, hour) / 2.0) for day, hour in cells]
+        return _heatmap_columns(cells, times)
+    times = [max(0.5, _response_profile(day, hour) + rng.normal(0, 0.8)) for day, hour in cells]
+    return _heatmap_columns(cells, times)
+
+
+def _heatmap_columns(cells: list[tuple[int, int]], times: list[float]) -> list[Column]:
+    return [
+        Column("Weekday", tuple(WEEKDAYS[day] for day, _ in cells), role="y"),
+        Column("Hour", tuple(hour for _, hour in cells), role="x"),
+        Column("Response Time (min)", tuple(float(time) for time in times), role="value", measure=True),
+    ]
+
+
+def _area(rng: np.random.Generator, n: int) -> list[Column]:
+    """Daily energy use of an invented district: a yearly and a weekly cycle on a slow trend."""
+    day = np.arange(1, n + 1)
+    energy = (
+        120
+        + 25 * np.sin(2 * np.pi * day / 365 + 1.2)
+        + 6 * np.sin(2 * np.pi * day / 7)
+        + 0.01 * day
+        + rng.normal(0, 4, n)
+    )
+    return [
+        Column("Day", tuple(int(value) for value in day), role="x"),
+        Column("Energy Use (MWh)", _floats(energy), role="y", measure=True),
+    ]
+
+
+SEGMENTS = ("Students", "Families", "Retirees", "Professionals")
+
+
+def _basket(rng: np.random.Generator, segment: int) -> float:
+    if segment == 0:
+        return float(rng.lognormal(math.log(22), 0.45))
+    if segment == 1:
+        return float(max(10.0, rng.normal(85, 18)))
+    if segment == 2:
+        return float(rng.normal(34, 7) if rng.random() < 0.55 else rng.normal(72, 9))
+    return float(20 + rng.gamma(2.2, 18))
+
+
+def _violin(rng: np.random.Generator, n: int) -> list[Column]:
+    """Basket values of four customer segments with distinct shapes (skewed, normal, bimodal, long tail)."""
+    segments = [index % len(SEGMENTS) for index in range(n)]
+    values = [max(1.0, _basket(rng, segment)) for segment in segments]
+    return [
+        Column("Customer Segment", tuple(SEGMENTS[segment] for segment in segments), role="category"),
+        Column("Basket Value (EUR)", tuple(values), role="value", decimals=2, measure=True),
+    ]
+
+
+EXPENSES = ("Housing", "Food", "Transport", "Leisure", "Health", "Savings")
+EXPENSE_AMOUNTS = (1850.0, 720.0, 410.0, 330.0, 260.0, 600.0)
+MORE_EXPENSES = ("Insurance", "Education", "Clothing", "Utilities", "Gifts", "Other")
+MORE_AMOUNTS = (380.0, 150.0, 120.0, 210.0, 60.0, 90.0)
+RECORD_MEANS = (925.0, 38.0, 24.0, 45.0, 65.0, 300.0)
+"""Mean amount of one booking per category in the raw records of `n5000`."""
+
+
+def _pie(rng: np.random.Generator, n: int) -> list[Column]:
+    """A household budget: one amount per category, or (n5000) single bookings to sum up."""
+    if n <= len(EXPENSES) + len(MORE_EXPENSES):
+        names = (EXPENSES + MORE_EXPENSES)[:n]
+        amounts = [base * rng.uniform(0.9, 1.1) for base in (EXPENSE_AMOUNTS + MORE_AMOUNTS)[:n]]
+    else:
+        weights = np.array(EXPENSE_AMOUNTS) / np.array(RECORD_MEANS)
+        picks = rng.choice(len(EXPENSES), n, p=weights / weights.sum())
+        names = tuple(EXPENSES[pick] for pick in picks)
+        amounts = [max(1.0, rng.gamma(2.0, RECORD_MEANS[pick] / 2.0)) for pick in picks]
+    return [
+        Column("Expense Category", tuple(names), role="category"),
+        Column("Amount (CHF)", tuple(float(amount) for amount in amounts), role="value", decimals=2, measure=True),
+    ]
+
+
+def _timeseries(rng: np.random.Generator, n: int) -> list[Column]:
+    """Fine dust at an invented station: daily means, or (n5000) hourly readings with a daily cycle."""
+    if n <= 400:
+        stamps: list[date | datetime] = [date(2025, 1, 1) + timedelta(days=index) for index in range(n)]
+        values = [14 + 9 * math.cos(2 * math.pi * index / 365) + rng.normal(0, 3) for index in range(n)]
+    else:
+        start = datetime(2025, 1, 1)
+        stamps = [start + timedelta(hours=index) for index in range(n)]
+        values = [
+            14
+            + 9 * math.cos(2 * math.pi * index / 8760)
+            + 4 * math.sin(2 * math.pi * (index % 24 - 6) / 24)
+            + rng.normal(0, 2.5)
+            for index in range(n)
+        ]
+    return [
+        Column("Date", tuple(stamps), role="date"),
+        Column("PM2.5 (µg/m³)", tuple(max(1.0, float(value)) for value in values), role="value", measure=True),
+    ]
+
+
+def _minutes_to_timestamp(value: Value) -> datetime:
+    assert isinstance(value, float | int)
+    return datetime(2026, 3, 14, 6, 0) + timedelta(minutes=round(float(value)))
+
+
+def _day_to_date(value: Value) -> date:
+    assert isinstance(value, int)
+    return date(2026, 1, 1) + timedelta(days=value - 1)
+
+
+SPECS: tuple[SpecFixture, ...] = (
+    SpecFixture(
+        "scatter-basic",
+        "scatter",
+        101,
+        150,
+        _scatter,
+        {"Store": "Filiale", "Ad Spend (kCHF)": "Werbebudget in Tsd. CHF", "Revenue (kCHF)": "Umsatz in Tsd. CHF"},
+        "extra",
+        ("Campaign Start", "Reported On"),
+    ),
+    SpecFixture(
+        "line-basic",
+        "line",
+        202,
+        61,
+        _line,
+        {"Elapsed Time (min)": "t [min]", "Tank Temperature (°C)": "T_tank [°C]"},
+        "x",
+        ("Timestamp", "Logged At"),
+        to_date=_minutes_to_timestamp,
+    ),
+    SpecFixture(
+        "bar-grouped",
+        "bar",
+        303,
+        15,
+        _bar,
+        {"Subject": "Fach", "Grade Level": "Jahrgangsstufe", "Test Score": "Punkte (Ø)"},
+        "extra",
+        ("Exam Date", "Graded On"),
+        aggregates=True,
+    ),
+    SpecFixture(
+        "histogram-basic",
+        "histogram",
+        404,
+        400,
+        _histogram,
+        {"Order ID": "Bestellnummer", "Delivery Time (min)": "Lieferzeit / Minuten"},
+        "extra",
+        ("Order Date", "Delivered On"),
+    ),
+    SpecFixture(
+        "box-basic",
+        "box",
+        505,
+        240,
+        _box,
+        {"Production Line": "Abfülllinie", "Fill Weight (g)": "Füllgewicht [g]"},
+        "extra",
+        ("Shift Date", "Checked On"),
+    ),
+    SpecFixture(
+        "heatmap-basic",
+        "heatmap",
+        606,
+        168,
+        _heatmap,
+        {"Weekday": "Wochentag", "Hour": "Stunde", "Response Time (min)": "Antwortzeit Ø (min)"},
+        "extra",
+        ("Week Of", "Exported On"),
+        aggregates=True,
+    ),
+    SpecFixture(
+        "area-basic",
+        "area",
+        707,
+        90,
+        _area,
+        {"Day": "tag_nr", "Energy Use (MWh)": "energieverbrauch_mwh"},
+        "x",
+        ("Date", "Metered On"),
+        to_date=_day_to_date,
+    ),
+    SpecFixture(
+        "violin-basic",
+        "violin",
+        808,
+        400,
+        _violin,
+        {"Customer Segment": "segment", "Basket Value (EUR)": "basket_eur"},
+        "extra",
+        ("Purchase Date", "Synced On"),
+    ),
+    SpecFixture(
+        "pie-basic",
+        "pie",
+        909,
+        6,
+        _pie,
+        {"Expense Category": "Ausgabenposten", "Amount (CHF)": "Betrag CHF"},
+        "extra",
+        ("Booking Date", "Imported On"),
+        aggregates=True,
+    ),
+    SpecFixture(
+        "line-timeseries",
+        "time-series",
+        1010,
+        365,
+        _timeseries,
+        {"Date": "Messdatum", "PM2.5 (µg/m³)": "Feinstaub PM2,5 (µg/m³)"},
+        "native",
+        ("Date", "Validated On"),
+    ),
+)
+
+
+# --- Perturbations --------------------------------------------------------------------------
+
+
+def _rng(spec: SpecFixture, stream: int) -> np.random.Generator:
+    """An independent generator per spec and data stream, so no case depends on the generation order."""
+    return np.random.default_rng([spec.seed, stream])
+
+
+def _base(spec: SpecFixture) -> list[Column]:
+    return spec.make(_rng(spec, 0), spec.base_rows)
+
+
+def _with_dates(spec: SpecFixture, columns: list[Column]) -> list[Column]:
+    """The `date` perturbation: a `DD.MM.YYYY` column and an ISO column, placed by the spec's date mode."""
+    rng = _rng(spec, 99)
+    rows = len(columns[0].values)
+    dmy_name, iso_name = spec.date_names
+    if spec.date_mode == "extra":
+        start = date(2026, 1, 5)
+        dmy = tuple(start + timedelta(days=int(offset)) for offset in rng.integers(0, 180, rows))
+        lag = rng.integers(0, 5, rows)
+        iso = tuple(day + timedelta(days=int(days)) for day, days in zip(dmy, lag, strict=True))
+        return [*columns, Column(dmy_name, dmy, date_style="dmy"), Column(iso_name, iso, date_style="iso")]
+    out: list[Column] = []
+    for column in columns:
+        if spec.date_mode == "x" and column.role == "x":
+            assert spec.to_date is not None
+            stamps = tuple(spec.to_date(value) for value in column.values)
+            out.append(Column(dmy_name, stamps, role="x", date_style="dmy"))
+            out.append(Column(iso_name, tuple(_shift(stamp, 1) for stamp in stamps), date_style="iso"))
+        elif spec.date_mode == "native" and column.role == "date":
+            out.append(replace(column, date_style="dmy"))
+            out.append(Column(iso_name, tuple(_shift(stamp, 2) for stamp in column.values), date_style="iso"))
+        else:
+            out.append(column)
+    return out
+
+
+def _times_ten(value: Value) -> float:
+    if not isinstance(value, float | int):
+        raise TypeError("only numeric columns are measures")
+    return float(value) * 10
+
+
+def _shift(value: Value, days: int) -> date | datetime:
+    assert isinstance(value, date)  # datetime is a date subclass
+    return value + timedelta(days=days)
+
+
+def perturbed(spec: SpecFixture, perturbation: str) -> tuple[list[Column], str]:
+    """The columns of one perturbation and its delimiter."""
+    if perturbation == "renamed":
+        return [replace(column, name=spec.renamed.get(column.name, column.name)) for column in _base(spec)], ","
+    if perturbation == "x10":
+        scaled = [
+            replace(column, values=tuple(_times_ten(value) for value in column.values)) if column.measure else column
+            for column in _base(spec)
+        ]
+        return scaled, ","
+    if perturbation == "n12":
+        return spec.make(_rng(spec, 12), 12), ","
+    if perturbation == "n5000":
+        return spec.make(_rng(spec, 5000), 5000), ","
+    if perturbation == "date":
+        return _with_dates(spec, _base(spec)), ","
+    if perturbation == "decimal-comma":
+        return [replace(column, date_style="dmy") for column in _base(spec)], ";"
+    raise ValueError(f"unknown perturbation {perturbation!r}")
+
+
+# --- Writing ---------------------------------------------------------------------------------
+
+
+def cell(value: Value, column: Column, *, decimal_comma: bool) -> str:
+    """One value as text: fixed decimals for floats, ISO or `DD.MM.YYYY` for dates and timestamps."""
+    if isinstance(value, datetime):
+        return value.strftime("%d.%m.%Y %H:%M") if column.date_style == "dmy" else value.strftime("%Y-%m-%dT%H:%M")
+    if isinstance(value, date):
+        return value.strftime("%d.%m.%Y") if column.date_style == "dmy" else value.isoformat()
+    if isinstance(value, float):
+        text = f"{value:.{column.decimals}f}"
+        return text.replace(".", ",") if decimal_comma else text
+    return str(value)
+
+
+def to_csv(columns: list[Column], delimiter: str) -> str:
+    """The dataset as delimited text with `\\n` line ends, quoted only where a field needs it."""
+    decimal_comma = delimiter == ";"
+    buffer = io.StringIO()
+    writer = csv.writer(buffer, delimiter=delimiter, lineterminator="\n", quoting=csv.QUOTE_MINIMAL)
+    writer.writerow([column.name for column in columns])
+    for row in zip(*(column.values for column in columns), strict=True):
+        writer.writerow(
+            [cell(value, column, decimal_comma=decimal_comma) for value, column in zip(row, columns, strict=True)]
+        )
+    return buffer.getvalue()
+
+
+def _tags(spec: SpecFixture, perturbation: str, columns: list[Column], smoke: bool) -> list[str]:
+    tags = [spec.family, perturbation, "synthetic"]
+    if perturbation == "renamed":
+        tags.append("renamed-headers")
+        if any(not column.name.isascii() for column in columns):
+            tags.append("non-ascii-headers")
+    elif perturbation == "x10":
+        tags.append("scaled-values")
+    elif perturbation == "n12":
+        tags.append("small")
+    elif perturbation == "n5000":
+        tags.append("large")
+        if spec.aggregates:
+            tags.append("aggregation")
+    elif perturbation == "date":
+        tags += ["dd.mm.yyyy", "iso-date", "unbound-dates" if spec.date_mode == "extra" else "date-axis"]
+    elif perturbation == "decimal-comma":
+        tags.append("semicolon")
+        if any(isinstance(column.values[0], date) for column in columns):
+            tags.append("dd.mm.yyyy")
+    if smoke:
+        tags.append(SMOKE_TAG)
+    return tags
+
+
+def _is_smoke(index: int, library: str, perturbation: str) -> bool:
+    """One smoke case per spec, cycling through the perturbations and alternating the library."""
+    return perturbation == PERTURBATIONS[index % len(PERTURBATIONS)] and library == LIBRARIES[index % len(LIBRARIES)]
+
+
+def case_id(spec_id: str, library: str, perturbation: str) -> str:
+    return f"{spec_id}-{library}-{perturbation}"
+
+
+def render_cases() -> dict[str, str]:
+    """Every generated file as `{"<case-id>/<file>": text}`, built in memory."""
+    files: dict[str, str] = {}
+    for index, spec in enumerate(SPECS):
+        for perturbation in PERTURBATIONS:
+            columns, delimiter = perturbed(spec, perturbation)
+            data = to_csv(columns, delimiter)
+            _check_limits(spec, perturbation, columns, data)
+            bindings = [{"role": column.role, "column": column.name} for column in columns if column.role]
+            for library in LIBRARIES:
+                case = {
+                    "spec_id": spec.spec_id,
+                    "library": library,
+                    "locale": "de" if perturbation in ("renamed", "decimal-comma") else "en",
+                    "perturbation": perturbation,
+                    "bindings": bindings,
+                    "expected": "accepted",
+                    "tags": _tags(spec, perturbation, columns, _is_smoke(index, library, perturbation)),
+                    "source": f"{SOURCE} (seed {spec.seed}, {perturbation})",
+                }
+                directory = case_id(spec.spec_id, library, perturbation)
+                files[f"{directory}/case.json"] = json.dumps(case, indent=2, ensure_ascii=False) + "\n"
+                files[f"{directory}/data.csv"] = data
+    return files
+
+
+def _check_limits(spec: SpecFixture, perturbation: str, columns: list[Column], data: str) -> None:
+    """Every dataset fits the parser's limits, so a case never fails on its own size."""
+    where = f"{spec.spec_id}/{perturbation}"
+    if len(data.encode("utf-8")) > MAX_INPUT_BYTES:
+        raise ValueError(f"{where}: {len(data.encode('utf-8'))} bytes is over the parser's {MAX_INPUT_BYTES}")
+    if len(columns[0].values) > MAX_ROWS:
+        raise ValueError(f"{where}: more than {MAX_ROWS} rows")
+    if any(len(column.name) > MAX_COLUMN_NAME_CHARS for column in columns):
+        raise ValueError(f"{where}: a header is longer than {MAX_COLUMN_NAME_CHARS} characters")
+
+
+def write_cases(target: Path = CASES_DIR) -> list[Path]:
+    """Write every generated file under `target`; other case directories are left alone."""
+    written = []
+    for relative, text in render_cases().items():
+        path = target / relative
+        path.parent.mkdir(parents=True, exist_ok=True)
+        path.write_text(text, encoding="utf-8", newline="")
+        written.append(path)
+    return written
+
+
+def stale_files(target: Path = CASES_DIR) -> list[str]:
+    """The generated files that are missing under `target` or differ from what the generator writes."""
+    stale = []
+    for relative, text in render_cases().items():
+        path = target / relative
+        if not path.is_file() or path.read_bytes() != text.encode("utf-8"):
+            stale.append(relative)
+    return stale
+
+
+def main(argv: list[str] | None = None) -> int:
+    parser = argparse.ArgumentParser(description=__doc__.split("\n", 1)[0])
+    parser.add_argument("--check", action="store_true", help="exit 1 when a committed file differs from the generator")
+    parser.add_argument("--out", type=Path, default=CASES_DIR, help="target directory (default: the fixture cases)")
+    args = parser.parse_args(argv)
+    if args.check:
+        stale = stale_files(args.out)
+        for relative in stale:
+            print(f"stale: {relative}", file=sys.stderr)
+        if stale:
+            print("rerun: uv run --extra agents python -m agents.evals.make_fixtures", file=sys.stderr)
+        return 1 if stale else 0
+    written = write_cases(args.out)
+    print(f"wrote {len(written)} files for {len(written) // 2} cases under {args.out}")
+    return 0
+
+
+if __name__ == "__main__":
+    raise SystemExit(main())
diff --git a/agents/evals/matrix.py b/agents/evals/matrix.py
new file mode 100644
index 0000000000..afec6f2b88
--- /dev/null
+++ b/agents/evals/matrix.py
@@ -0,0 +1,1165 @@
+"""The regression matrix: every selected eval case through the real `/v1` flow, in process.
+
+Run it from the repository root. It calls the configured models, so it spends tokens:
+
+    uv run --extra agents python -m agents.evals.matrix --cases smoke --renderer remote --render-url URL
+    uv run --extra agents python -m agents.evals.matrix --cases full --provider gemini --renderer remote ...
+
+Each case opens a session on `agents.main:app` through httpx's `ASGITransport`
+(`POST /v1/sessions` with the catalogue snapshot, `/dataset` with `data.csv`, `PUT
+/bindings` with the case's bindings, then `POST /messages {"action": "create_plot"}`,
+and a free-text turn when the case has a `change_request.txt`), so the run takes the
+same path as a user's: the ScopeGuard, Budget and ToolSafety plugins, the run queue,
+the data judge, the pipeline and its gates. The models come from the settings, the
+render backend from `AGENT_RENDERER`: `remote` renders on a deployed renderer, `local`
+in Docker, `fake` returns fixture PNGs (a dry run of everything but the render; the
+models are still real). Per run it records the status and reason, attempts, gate
+failures by gate, validator rejections, edit-apply failures, the reviewer's verdict,
+LLM calls, tokens by kind, `model_version`, the cost at list price
+(`agents/evals/pricing.py`), the time to the first event, the end-to-end time, and
+the render times, read from the stream and from the content-free attribution log
+lines of that run's request ids.
+
+Outputs, under `--out` (default `agents/evals/reports/`, git-ignored):
+
+* `<date>-<model>.json`, the report (`-2`, `-3`, ... when the name is taken), and
+  `<date>-<model>.md`, its Markdown summary;
+* `renders/<case-id>-r<repeat>.png`, the shipped PNG of every run that shipped one;
+* `gallery.html`, a blind review page with a random sample of `--gallery-size` (30)
+  renders that passed the gates and an accept and reject pair each, exported as JSON
+  with one button; `gallery-all.html` lists every run. Both are rewritten by the next
+  run in the same directory, so give each run its own `--out` when you keep its
+  gallery. `python -m agents.evals.report blind` merges two runs into one gallery that
+  hides which arm made a render.
+
+**Before the first case** the harness renders the catalogue file of the first case of
+each library in the selection through the configured backend (no model call). A
+backend that cannot render (unreachable, the caller refused, a library missing in the
+image) ends the run with exit code 2 before any token is spent. **During the run** a
+case whose pipeline ended in `RendererUnavailable` (the `error` field of its
+`pipeline_result` line), or three runs in a row that ended in an error, stop the run
+with exit code 4, so an outage never turns the rest of the matrix into `failed (error)`
+runs. `--gcloud-token` mints the renderer's ID token with `gcloud auth
+print-identity-token` and mints a new one whenever it is within 10 minutes of its
+one-hour expiry, so a full run outlasts a token.
+
+With a baseline (`--baseline FILE`, by default `agents/evals/baselines/<pinned model>.json`
+when it exists) the run prints the diff table over the cases both reports hold: pass
+rate, accept-match rate, cost per successful plot, latency percentiles and every case
+that flipped. `--save-baseline` writes the report to
+`agents/evals/baselines/<model>.json`; it refuses a run that stopped early, holds
+promoted cases, or has any run that ended in an error.
+
+Exit codes: 0 done; 1 the run did not hold: its pass rate on the shared cases fell
+below the baseline's minus `--tolerance` (5 percentage points by default), or a run
+crashed in the harness; 2 a setup error (settings, renderer, preflight, price, cases);
+3 stopped early by `--budget-usd`; 4 stopped by an outage (see above). Ctrl-C writes
+the partial report before it stops.
+
+For its own process the harness lifts the run queue's start rate
+(`AGENT_RUNS_PER_MINUTE`, `--runs-per-minute`, 60) and the service-wide daily token
+budget, and gives every case and repeat its own user id, so the per-user daily
+budgets never trip; the per-request limits (12 LLM calls, 80k tokens, the deadlines)
+stay at their production values. It sets `ENVIRONMENT=development` for the `remote`
+and `local` renderers unless it runs on Cloud Run (`K_SERVICE`), because a developer's
+renderer token is accepted only in development, and defaults it to `development`
+otherwise; it never loads a `.env` file, and leaves the caller check out, because the
+requests never leave the process.
+"""
+
+import argparse
+import asyncio
+import base64
+import binascii
+import codecs
+import hashlib
+import importlib.metadata
+import json
+import logging
+import os
+import platform
+import secrets
+import subprocess
+import sys
+import time
+from collections import Counter
+from collections.abc import Callable, MutableMapping
+from dataclasses import dataclass, field
+from datetime import UTC, datetime
+from pathlib import Path
+from typing import TYPE_CHECKING, Any
+
+import httpx
+from starlette.types import ASGIApp, Message, Receive, Scope, Send
+
+from agents.evals.pricing import LOCATION_SURCHARGE, TOKEN_KINDS, UnknownPrice, call_cost, judge_cost, price_of
+from agents.evals.report import (
+    GALLERY_SIZE,
+    REPORT_SCHEMA,
+    SHIPPED,
+    Diff,
+    compare,
+    diff_markdown,
+    gallery_all_html,
+    gallery_html,
+    summarize,
+    summary_markdown,
+)
+
+
+if TYPE_CHECKING:  # importing agents.anyplot builds the agents, so the runtime imports wait for `configure`
+    from agents.anyplot.services import Services
+    from agents.anyplot.settings import AgentSettings
+    from agents.evals.cases import EvalCase
+    from agents.main import Runtime
+
+
+EVALS_DIR = Path(__file__).resolve().parent
+REPO_ROOT = EVALS_DIR.parents[1]
+DEFAULT_OUT = EVALS_DIR / "reports"
+BASELINES_DIR = EVALS_DIR / "baselines"
+RENDERERS: tuple[str, ...] = ("remote", "local", "fake")
+PROVIDER_DEFAULTS: dict[str, tuple[str, str]] = {
+    "anthropic-vertex": ("claude-haiku-5-5", "claude-haiku-5-5"),
+    "gemini": ("gemini-3.8-flash", "gemini-3.5-flash-lite"),
+}
+MODEL_PROVIDERS: dict[str, str] = {"claude-": "anthropic-vertex", "gemini-": "gemini"}
+DEFAULT_TOLERANCE = 0.05
+EVAL_RUNS_PER_MINUTE = 60
+EVAL_GLOBAL_DAILY_TOKENS = 1_000_000_000
+ATTRIBUTION_LOGGER = "anyplot.agents.attribution"
+MODEL_TOKEN_KINDS: tuple[str, ...] = ("prompt", "candidates", "thoughts", "cached", "cache_write", "tool_use_prompt")
+EXIT_OK, EXIT_REGRESSION, EXIT_SETUP, EXIT_STOPPED, EXIT_OUTAGE = 0, 1, 2, 3, 4
+RENDERER_OUTAGE = "RendererUnavailable"
+REFUSAL_STATUSES = frozenset({403, 409, 413, 422})
+"""HTTP statuses with which the service refuses a request on its merits (the data, the bindings), the case's own outcome.
+Any other failure (a 5xx, a judge outage) is the service's and counts as an error (`is_error`)."""
+ERROR_STATUSES = frozenset({"harness_error", "error"})
+"""The pipeline's `error` class that means the renderer is down, not that the model failed."""
+MAX_ERRORS_IN_A_ROW = 3
+"""Runs in a row that ended in an error (pipeline or harness) before the matrix stops as an outage."""
+DEVELOPER_RENDERERS: tuple[str, ...] = ("remote", "local")
+GCLOUD_TOKEN_COMMAND: tuple[str, ...] = ("gcloud", "auth", "print-identity-token")
+TOKEN_REFRESH_MARGIN_S = 600.0
+"""`--gcloud-token` mints a new token when the current one expires within this many seconds."""
+PREFLIGHT_DATA = "x\n1\n"
+"""The preflight renders the normalised catalogue file, which makes its own data; this only fills the slot."""
+
+logger = logging.getLogger("anyplot.evals")
+
+
+class SetupError(Exception):
+    """A harness invocation that cannot run: its message says what to change."""
+
+
+# --- Configuration ---------------------------------------------------------------------------
+
+
+def parse_args(argv: list[str] | None) -> argparse.Namespace:
+    parser = argparse.ArgumentParser(
+        prog="python -m agents.evals.matrix",
+        description="Run eval cases through the agent network's /v1 flow and report against a baseline.",
+    )
+    parser.add_argument("--provider", choices=sorted(PROVIDER_DEFAULTS), help="model family (default: the settings)")
+    parser.add_argument("--model", help="model of every agent; the provider's default when only --provider is given")
+    parser.add_argument("--judge-model", help="model of the scope and dataset judge; the provider's default")
+    parser.add_argument("--location", choices=sorted(LOCATION_SURCHARGE), help="Vertex AI location (default eu)")
+    parser.add_argument(
+        "--renderer",
+        choices=RENDERERS,
+        help="render backend (default: AGENT_RENDERER when it is one of these, else remote)",
+    )
+    parser.add_argument("--render-url", help="the deployed renderer's URL for --renderer remote (AGENT_RENDER_URL)")
+    parser.add_argument(
+        "--gcloud-token",
+        action="store_true",
+        help="mint AGENT_RENDER_TOKEN with `gcloud auth print-identity-token` and renew it before it expires",
+    )
+    parser.add_argument("--no-preflight", action="store_true", help="skip the model-free preflight render")
+    parser.add_argument("--cases", default="smoke", help="smoke, full, or comma-separated globs over case ids")
+    parser.add_argument("--repeats", type=int, default=1, help="runs per case (default 1)")
+    parser.add_argument(
+        "--budget-usd",
+        type=float,
+        help="stop before a case that could take the estimated list-price cost past this (spent + costliest case)",
+    )
+    parser.add_argument("--out", type=Path, default=DEFAULT_OUT, help="output directory (default agents/evals/reports)")
+    parser.add_argument("--baseline", type=Path, help="baseline report (default: baselines/<pinned model>.json)")
+    parser.add_argument("--no-baseline", action="store_true", help="do not compare with any baseline")
+    parser.add_argument("--tolerance", type=float, default=DEFAULT_TOLERANCE, help="allowed pass-rate drop (0.05)")
+    parser.add_argument("--save-baseline", action="store_true", help="write the report as baselines/<model>.json")
+    parser.add_argument("--seed", type=int, default=0, help="seed of the gallery sample (default 0)")
+    parser.add_argument("--gallery-size", type=int, default=GALLERY_SIZE, help="renders in the gallery (default 30)")
+    parser.add_argument(
+        "--runs-per-minute", type=int, default=EVAL_RUNS_PER_MINUTE, help="run queue start rate for this process"
+    )
+    args = parser.parse_args(argv)
+    if args.repeats < 1:
+        parser.error("--repeats must be at least 1")
+    if args.budget_usd is not None and args.budget_usd <= 0:
+        parser.error("--budget-usd must be positive")
+    if not 0 <= args.tolerance < 1:
+        parser.error("--tolerance is a fraction between 0 and 1")
+    if args.gallery_size < 0 or args.runs_per_minute < 1:
+        parser.error("--gallery-size must be 0 or more and --runs-per-minute at least 1")
+    return args
+
+
+def configure(args: argparse.Namespace, environ: MutableMapping[str, str]) -> None:
+    """Write the flags into the `AGENT_*` environment the settings read; runs before any `agents.anyplot` import.
+
+    `--provider` alone selects that provider's default model and judge; `--model` alone
+    implies its provider. The environment's own `AGENT_*` values stay for everything
+    no flag names. With the `remote` or `local` renderer the process runs as
+    `ENVIRONMENT=development` (outside Cloud Run), whatever the shell exported: only
+    development accepts a developer's renderer token and the `local` backend.
+    """
+    environ["PYTHON_DOTENV_DISABLED"] = "1"
+    environ["ADK_DISABLE_LOAD_DOTENV"] = "1"
+    environ.pop("AGENT_DEV_FIXTURE", None)
+    provider = args.provider
+    if provider is None and args.model:
+        provider = next((name for prefix, name in MODEL_PROVIDERS.items() if args.model.startswith(prefix)), None)
+        if provider is None:
+            raise SetupError(f"cannot tell the provider of {args.model!r}; pass --provider")
+    if provider is not None:
+        default_model, default_judge = PROVIDER_DEFAULTS[provider]
+        environ["AGENT_PROVIDER"] = provider
+        environ["AGENT_MODEL"] = args.model or default_model
+        environ["AGENT_JUDGE_MODEL"] = args.judge_model or default_judge
+    elif args.judge_model:
+        environ["AGENT_JUDGE_MODEL"] = args.judge_model
+    if args.location:
+        environ["AGENT_LOCATION"] = args.location
+    configured = environ.get("AGENT_RENDERER")
+    renderer = args.renderer or (configured if configured in RENDERERS else "remote")
+    environ["AGENT_RENDERER"] = renderer
+    if renderer in DEVELOPER_RENDERERS and "K_SERVICE" not in environ:
+        environ["ENVIRONMENT"] = "development"
+    else:
+        environ.setdefault("ENVIRONMENT", "development")
+    if args.render_url:
+        if renderer != "remote":
+            raise SetupError("--render-url needs --renderer remote")
+        environ["AGENT_RENDER_URL"] = args.render_url
+    if args.gcloud_token and renderer != "remote":
+        raise SetupError("--gcloud-token needs --renderer remote")
+    environ["AGENT_RUNS_PER_MINUTE"] = str(args.runs_per_minute)
+    environ["AGENT_GLOBAL_DAILY_TOKEN_BUDGET"] = str(EVAL_GLOBAL_DAILY_TOKENS)
+
+
+@dataclass
+class MatrixConfig:
+    """What one matrix run does besides running the cases."""
+
+    cases: str = "smoke"
+    repeats: int = 1
+    budget_usd: float | None = None
+    out: Path = DEFAULT_OUT
+    baseline: dict[str, Any] | None = None
+    baseline_path: Path | None = None
+    tolerance: float = DEFAULT_TOLERANCE
+    seed: int = 0
+    gallery_size: int = GALLERY_SIZE
+    save_baseline: bool = False
+    baselines_dir: Path = BASELINES_DIR
+    preflight: bool = True
+    render_token: "RenderToken | None" = None
+    argv: list[str] = field(default_factory=list)
+
+
+# --- The renderer: token and preflight -------------------------------------------------------
+
+
+def token_expiry(token: str) -> float | None:
+    """The `exp` claim of a JWT, read without verifying it; None when it has none."""
+    parts = token.split(".")
+    if len(parts) != 3:
+        return None
+    try:
+        claims = json.loads(base64.urlsafe_b64decode(parts[1] + "=" * (-len(parts[1]) % 4)))
+    except (ValueError, binascii.Error):
+        return None
+    expiry = claims.get("exp") if isinstance(claims, dict) else None
+    return float(expiry) if isinstance(expiry, int | float) and not isinstance(expiry, bool) else None
+
+
+def gcloud_token() -> str:
+    """A fresh ID token of your gcloud account (`gcloud auth print-identity-token`); never printed or logged."""
+    try:
+        done = subprocess.run(list(GCLOUD_TOKEN_COMMAND), capture_output=True, text=True, timeout=60, check=False)
+    except (OSError, subprocess.SubprocessError) as exc:
+        raise SetupError(f"`gcloud auth print-identity-token` did not run ({type(exc).__name__})") from None
+    token = done.stdout.strip()
+    if done.returncode != 0 or token.count(".") != 2:
+        raise SetupError(
+            f"`gcloud auth print-identity-token` failed (exit {done.returncode}); run `gcloud auth login` first"
+        )
+    return token
+
+
+def token_note(environ: MutableMapping[str, str], clock: Callable[[], float] = time.time) -> str | None:
+    """A warning when a static `AGENT_RENDER_TOKEN` will expire during a long run."""
+    token = environ.get("AGENT_RENDER_TOKEN")
+    expiry = token_expiry(token) if token else None
+    if expiry is None:
+        return None
+    minutes = max(0, int((expiry - clock()) // 60))
+    return (
+        f"AGENT_RENDER_TOKEN expires in {minutes} min; a run that outlasts it stops with exit code 4. "
+        "Pass --gcloud-token to renew it during the run."
+    )
+
+
+@dataclass
+class RenderToken:
+    """Keeps `AGENT_RENDER_TOKEN` fresh for a run that outlasts the token's hour (`--gcloud-token`).
+
+    Before each case `renew` checks the token's `exp`; within `margin_s` of it, it mints
+    a new one, rebuilds the settings and swaps the backend inside the one
+    `SerialRenderer`, so the render semaphore stays the same object.
+    """
+
+    environ: MutableMapping[str, str]
+    mint: Callable[[], str] = gcloud_token
+    clock: Callable[[], float] = time.time
+    margin_s: float = TOKEN_REFRESH_MARGIN_S
+    renewed: int = 0
+
+    def due(self) -> bool:
+        token = self.environ.get("AGENT_RENDER_TOKEN")
+        expiry = token_expiry(token) if token else None
+        return expiry is None or expiry - self.clock() < self.margin_s
+
+    async def renew(self, services: "Services") -> bool:
+        """Mint and install a new token when the current one is due; True when it did."""
+        if not self.due():
+            return False
+        from agents.anyplot.settings import get_settings
+
+        self.environ["AGENT_RENDER_TOKEN"] = await asyncio.to_thread(self.mint)
+        get_settings.cache_clear()
+        serial = services.backend
+        old, serial.backend = serial.backend, services.backend_factory()
+        close = getattr(old, "aclose", None)
+        if old is not serial.backend and close is not None:
+            await close()
+        self.renewed += 1
+        return True
+
+
+async def preflight(cases: list["EvalCase"], services: "Services", echo: Callable[[str], None]) -> None:
+    """Render the catalogue file of each library's first case once, before any model call; SetupError if it fails.
+
+    The job is the normalised original (it makes its own data) in the light theme,
+    through `services.backend`, the same path as the pipeline's renders. It proves the
+    backend renders at all: reachable, the caller accepted, the library in the image.
+    """
+    from agents.anyplot.code.normalise import normalise
+    from agents.anyplot.render import PythonRuntime
+    from agents.anyplot.render.contract import RendererUnavailable, RenderJob
+    from agents.anyplot.render.gates import error_summary
+    from agents.anyplot.settings import get_settings
+
+    firsts: dict[str, EvalCase] = {}
+    for case in cases:
+        firsts.setdefault(case.library, case)
+    timeout = float(get_settings().render_timeout_s)
+    for library, case in firsts.items():
+        job = RenderJob(
+            job_id=secrets.token_hex(8),
+            language=PythonRuntime.language,
+            library=library,
+            source=normalise(case.snapshot().code, library=library),
+            data_csv=PREFLIGHT_DATA,
+            themes=("light",),
+            timeout_s=timeout,
+        )
+        started = time.monotonic()
+        try:
+            result = await services.backend.render(job)
+        except RendererUnavailable as exc:
+            raise SetupError(f"preflight render of {case.spec_id} ({library}): {exc}") from None
+        except Exception as exc:
+            raise SetupError(f"preflight render of {case.spec_id} ({library}) failed: {type(exc).__name__}") from None
+        output = result.outputs.get("light")
+        if output is None or output.exit_code != 0 or not output.png:
+            why = "no output" if output is None else f"exit code {output.exit_code}"
+            if output is not None and output.timed_out:
+                why += ", timed out"
+            if output is not None and output.stderr_tail:
+                why += f", {error_summary(output.stderr_tail)}"
+            raise SetupError(f"preflight render of {case.spec_id} ({library}) failed: {why}")
+        echo(f"preflight: {case.spec_id} ({library}) rendered in {time.monotonic() - started:.1f} s")
+
+
+# --- Observation -----------------------------------------------------------------------------
+
+
+class AttributionCollector(logging.Handler):
+    """Collects the attribution log's JSON lines by request id (the harness sets one per request)."""
+
+    def __init__(self) -> None:
+        super().__init__(level=logging.INFO)
+        self.lines: dict[str, list[dict[str, Any]]] = {}
+
+    def emit(self, record: logging.LogRecord) -> None:
+        try:
+            data = json.loads(record.getMessage())
+        except (TypeError, ValueError):
+            return
+        if isinstance(data, dict) and isinstance(data.get("request_id"), str):
+            self.lines.setdefault(data["request_id"], []).append(data)
+
+    def take(self, request_id: str) -> list[dict[str, Any]]:
+        return self.lines.pop(request_id, [])
+
+
+class TimedApp:
+    """An ASGI wrapper that timestamps every response body chunk.
+
+    httpx's `ASGITransport` hands the client the whole body at once, so the client
+    cannot see when each SSE event left the service; the wrapper can. The harness runs
+    one request at a time and clears `chunks` before each streamed turn.
+    """
+
+    def __init__(self, app: ASGIApp) -> None:
+        self.app = app
+        self.chunks: list[tuple[float, bytes]] = []
+
+    async def __call__(self, scope: Scope, receive: Receive, send: Send) -> None:
+        async def timed(message: Message) -> None:
+            if message["type"] == "http.response.body" and message.get("body"):
+                self.chunks.append((time.monotonic(), message["body"]))
+            await send(message)
+
+        await self.app(scope, receive, timed)
+
+
+Event = tuple[float, str, dict[str, Any]]
+
+
+def parse_events(chunks: list[tuple[float, bytes]], started: float) -> list[Event]:
+    """The SSE events of a stream as `(seconds since started, name, data)`, each timed by the chunk that ended it."""
+    decoder = codecs.getincrementaldecoder("utf-8")()
+    events: list[Event] = []
+    buffer = ""
+    for at, body in chunks:
+        buffer += decoder.decode(body)
+        while "\n\n" in buffer:
+            block, buffer = buffer.split("\n\n", 1)
+            name, data = None, None
+            for line in block.splitlines():
+                if line.startswith("event: "):
+                    name = line[len("event: ") :]
+                elif line.startswith("data: "):
+                    data = line[len("data: ") :]
+            if name is None or data is None:
+                continue
+            try:
+                payload = json.loads(data)
+            except ValueError:
+                payload = {}
+            events.append((at - started, name, payload if isinstance(payload, dict) else {}))
+    return events
+
+
+# --- One case --------------------------------------------------------------------------------
+
+
+def base_record(case: "EvalCase", repeat: int) -> dict[str, Any]:
+    """A run record before the run: every field the report reads, with its empty value."""
+    return {
+        "case_id": case.case_id,
+        "repeat": repeat,
+        "spec_id": case.spec_id,
+        "library": case.library,
+        "perturbation": case.perturbation,
+        "expected": case.expected,
+        "tags": list(case.tags),
+        "origin": case.origin,
+        "status": "harness_error",
+        "reason": None,
+        "attempts": 0,
+        "passed": False,
+        "accepted": False,
+        "accept_match": None,
+        "padded": False,
+        "adaptation": [],
+        "advisory": [],
+        "residual_defects": [],
+        "gate_failures": {},
+        "validator_rejections": {},
+        "adapter_outcomes": {},
+        "edit_apply_failures": 0,
+        "reviewer": {"verdict": None, "defects": []},
+        "llm_calls": 0,
+        "llm_calls_by_agent": {},
+        "tokens": dict.fromkeys(TOKEN_KINDS, 0),
+        "model_versions": [],
+        "cost_usd": 0.0,
+        "ttfe_s": None,
+        "e2e_s": None,
+        "queue_s": None,
+        "render_s": [],
+        "render_wall_s": [],
+        "turns": 0,
+        "png": None,
+        "error": None,
+        "pipeline_error": None,
+    }
+
+
+def _int(value: Any) -> int:
+    return value if isinstance(value, int) and not isinstance(value, bool) and value > 0 else 0
+
+
+def _number(value: Any) -> float:
+    return float(value) if isinstance(value, int | float) and not isinstance(value, bool) else 0.0
+
+
+def book_attribution(record: dict[str, Any], lines: list[dict[str, Any]], settings: "AgentSettings") -> None:
+    """Add one request's attribution lines to the run record: calls, tokens, cost, and the pipeline's findings."""
+    gates: Counter[str] = Counter(record["gate_failures"])
+    validator: Counter[str] = Counter(record["validator_rejections"])
+    adapter: Counter[str] = Counter(record["adapter_outcomes"])
+    agents: Counter[str] = Counter(record["llm_calls_by_agent"])
+    versions = set(record["model_versions"])
+    tokens = record["tokens"]
+    for line in lines:
+        hook = line.get("hook")
+        if hook == "model":
+            record["llm_calls"] += 1
+            agents[str(line.get("agent"))] += 1
+            for kind in MODEL_TOKEN_KINDS:
+                tokens[kind] += _int(line.get(kind))
+            if line.get("model_version"):
+                versions.add(str(line["model_version"]))
+            record["cost_usd"] += call_cost(settings.model, settings.location, line)
+        elif hook in ("data_judge", "scope_guard"):
+            judge_in, judge_out = _int(line.get("judge_input")), _int(line.get("judge_output"))
+            if not judge_in and not judge_out:
+                judge_in = _int(line.get("judge_tokens"))  # a line without the split prices everything as input
+            tokens["judge_input"] += judge_in
+            tokens["judge_output"] += judge_out
+            record["cost_usd"] += judge_cost(settings.judge_model, settings.location, judge_in, judge_out)
+        elif hook == "pipeline_adapt":
+            adapter[str(line.get("outcome"))] += 1
+        elif hook == "pipeline_check":
+            record["edit_apply_failures"] += _int(line.get("edit_failures"))
+            validator.update(str(rule) for rule in line.get("validator") or [])
+            if line.get("outcome") == "loader_failed":
+                validator["loader"] += 1
+        elif hook == "pipeline_render":
+            gates.update(str(gate) for gate in line.get("gates") or [])
+            record["render_s"].append(_number(line.get("render_s")))
+            wall = line.get("wall_s")
+            if isinstance(wall, dict):
+                record["render_wall_s"] += [_number(value) for value in wall.values()]
+        elif hook == "pipeline_review":
+            record["reviewer"] = {"verdict": line.get("verdict"), "defects": list(line.get("defects") or [])}
+        elif hook == "pipeline_result":
+            record["padded"] = bool(line.get("padded"))
+            record["adaptation"] = [str(rule) for rule in line.get("adaptation") or []]
+            record["advisory"] = [str(gate) for gate in line.get("advisory") or []]
+            if line.get("error"):
+                record["pipeline_error"] = str(line["error"])
+        elif hook == "queue":
+            record["queue_s"] = (record["queue_s"] or 0.0) + _number(line.get("waited_s"))
+    record["gate_failures"] = dict(sorted(gates.items()))
+    record["validator_rejections"] = dict(sorted(validator.items()))
+    record["adapter_outcomes"] = dict(sorted(adapter.items()))
+    record["llm_calls_by_agent"] = dict(sorted(agents.items()))
+    record["model_versions"] = sorted(versions)
+
+
+@dataclass
+class Turn:
+    """One `/messages` request: its HTTP status, the error detail, and the timed events."""
+
+    status_code: int
+    detail: str | None
+    events: list[Event]
+
+
+def _detail(response: httpx.Response) -> str:
+    try:
+        body = response.json()
+    except ValueError:
+        return f"http {response.status_code}"
+    detail = body.get("detail") if isinstance(body, dict) else None
+    return detail if isinstance(detail, str) else f"http {response.status_code}"
+
+
+def book_turn(record: dict[str, Any], turn: Turn) -> dict[str, Any] | None:
+    """Read one turn's stream into the record; the `plot` event's data, if there was one."""
+    record["turns"] += 1
+    if turn.status_code != 200:
+        record["status"], record["reason"] = "error", turn.detail
+        return None
+    plot = refusal = error = None
+    first = done = last = None
+    for at, name, data in turn.events:
+        last = at
+        if first is None and name != "ready" and not (name == "status" and data.get("step") == "queued"):
+            first = at
+        if name == "plot":
+            plot = data
+        elif name == "refusal":
+            refusal = data
+        elif name == "error":
+            error = data
+        elif name == "done":
+            done = at
+    if record["turns"] == 1:
+        record["ttfe_s"] = first
+    elapsed = done if done is not None else last
+    if elapsed is not None:
+        record["e2e_s"] = (record["e2e_s"] or 0.0) + elapsed
+    if plot is not None:
+        record["status"] = plot.get("status")
+        record["reason"] = plot.get("reason")
+        record["attempts"] = int(plot.get("attempts") or 0)
+        record["residual_defects"] = list(plot.get("residual_defects") or [])
+        if error is not None:
+            record["error"] = error.get("code")
+    elif refusal is not None:
+        record["status"], record["reason"] = "refused", refusal.get("code")
+    elif error is not None:
+        record["status"], record["reason"] = "error", error.get("code")
+    else:
+        record["status"], record["reason"] = "error", "no_result"
+    return plot
+
+
+def finish_record(record: dict[str, Any]) -> None:
+    """Derive pass, the harness outcome and the accept match from the booked fields (see `report.py`)."""
+    if record["status"] == "harness_error":
+        return
+    record["accepted"] = record["status"] == "ok"
+    record["passed"] = record["status"] in SHIPPED and not record["padded"] and not record["adaptation"]
+    expected = record["expected"]
+    record["accept_match"] = None if expected == "unknown" else record["accepted"] == (expected == "accepted")
+
+
+@dataclass
+class CaseRunner:
+    """Runs cases one at a time against the in-process app."""
+
+    client: httpx.AsyncClient
+    timed: TimedApp
+    collector: AttributionCollector
+    settings: "AgentSettings"
+    renders_dir: Path
+
+    async def run(self, case: "EvalCase", repeat: int) -> dict[str, Any]:
+        """One case and repeat, from opening the session to deleting it; never raises for a broken case."""
+        record = base_record(case, repeat)
+        digest = hashlib.sha256(f"{case.case_id}#{repeat}".encode()).hexdigest()
+        user = f"eval_{digest[:12]}_{repeat}"
+        tag = f"ev-{digest[:10]}-{repeat}"
+        opened: list[str] = []
+
+        def headers(step: str) -> dict[str, str]:
+            return {"X-Anyplot-User": user, "X-Request-Id": f"{tag}-{step}"}
+
+        try:
+            await self._steps(record, case, repeat, user, headers, opened)
+        except Exception as exc:  # one broken case must not end the matrix; the type is enough to find it
+            logger.warning("case %s failed in the harness: %s", case.case_id, type(exc).__name__)
+            record["status"], record["error"] = "harness_error", type(exc).__name__
+        finally:
+            for sid in opened:
+                try:
+                    await self.client.delete(f"/v1/sessions/{sid}", headers=headers("x"))
+                except Exception as exc:
+                    logger.warning("deleting the session of %s failed: %s", case.case_id, type(exc).__name__)
+            for step in ("s", "d", "b", "m1", "m2", "a", "x"):
+                self.collector.take(f"{tag}-{step}")
+        finish_record(record)
+        return record
+
+    async def _steps(
+        self,
+        record: dict[str, Any],
+        case: "EvalCase",
+        repeat: int,
+        user: str,
+        headers: Callable[[str], dict[str, str]],
+        opened: list[str],
+    ) -> None:
+        sid = await self._open(record, case, user, headers("s"))
+        if sid is None:
+            return
+        opened.append(sid)
+        if not await self._dataset(record, case, sid, headers("d")):
+            return
+        if not await self._bindings(record, case, sid, headers("b")):
+            return
+        plot = await self._turn(record, sid, {"action": "create_plot"}, headers("m1"))
+        if case.change_request and record["status"] in SHIPPED:
+            plot = await self._turn(record, sid, {"text": case.change_request}, headers("m2"))
+        if plot is not None and record["status"] in SHIPPED:
+            await self._save_png(record, case, repeat, sid, plot, headers("a"))
+
+    async def _open(self, record: dict[str, Any], case: "EvalCase", user: str, headers: dict[str, str]) -> str | None:
+        body = {
+            "user": user,
+            "spec_id": case.spec_id,
+            "library": case.library,
+            "locale": case.locale,
+            "snapshot": case.snapshot().model_dump(),
+        }
+        response = await self.client.post("/v1/sessions", headers=headers, json=body)
+        if response.status_code != 200:
+            detail = _detail(response)
+            record["status"] = "not_eligible" if detail == "not_eligible" else "error"
+            record["reason"] = detail
+            return None
+        session_id: str = response.json()["session_id"]
+        return session_id
+
+    async def _dataset(self, record: dict[str, Any], case: "EvalCase", sid: str, headers: dict[str, str]) -> bool:
+        response = await self.client.post(f"/v1/sessions/{sid}/dataset", headers=headers, json={"text": case.data_text})
+        book_attribution(record, self.collector.take(headers["X-Request-Id"]), self.settings)
+        if response.status_code != 200:
+            # A refusal of the data (the judge's `403 data_refused`, `413 too_long`,
+            # `422 unparseable`) is the case's outcome; anything else, such as the
+            # judge's own `503 guard_unavailable`, is the service's error: it counts
+            # towards the outage stop and keeps the run out of a baseline.
+            kind = "dataset_refused" if response.status_code in REFUSAL_STATUSES else "error"
+            record["status"], record["reason"] = kind, _detail(response)
+            return False
+        return True
+
+    async def _bindings(self, record: dict[str, Any], case: "EvalCase", sid: str, headers: dict[str, str]) -> bool:
+        if case.bindings is None:
+            return True  # the default bindings the dataset route proposed stay
+        payload = [binding.model_dump() for binding in case.bindings]
+        response = await self.client.put(f"/v1/sessions/{sid}/bindings", headers=headers, json=payload)
+        if response.status_code != 200:
+            kind = "bindings_invalid" if response.status_code in REFUSAL_STATUSES else "error"
+            record["status"], record["reason"] = kind, _detail(response)
+            return False
+        answer = response.json()
+        if not answer.get("complete"):
+            record["status"] = "bindings_invalid"
+            record["reason"] = "missing roles: " + ", ".join(answer.get("missing_roles") or [])
+            return False
+        return True
+
+    async def _turn(
+        self, record: dict[str, Any], sid: str, body: dict[str, str], headers: dict[str, str]
+    ) -> dict[str, Any] | None:
+        self.timed.chunks.clear()
+        started = time.monotonic()
+        response = await self.client.post(f"/v1/sessions/{sid}/messages", headers=headers, json=body)
+        turn = Turn(
+            response.status_code,
+            None if response.status_code == 200 else _detail(response),
+            parse_events(self.timed.chunks, started) if response.status_code == 200 else [],
+        )
+        plot = book_turn(record, turn)
+        book_attribution(record, self.collector.take(headers["X-Request-Id"]), self.settings)
+        return plot
+
+    async def _save_png(
+        self,
+        record: dict[str, Any],
+        case: "EvalCase",
+        repeat: int,
+        sid: str,
+        plot: dict[str, Any],
+        headers: dict[str, str],
+    ) -> None:
+        # A shipped result without its PNG is not a pass: the galleries could not
+        # show it and a baseline must not count it, so it becomes an error.
+        names = [name for name in plot.get("artifacts") or [] if str(name).endswith(".png")]
+        if not names:
+            record["status"], record["reason"], record["error"] = "error", "no_png", "plot_without_png"
+            return
+        response = await self.client.get(f"/v1/sessions/{sid}/artifacts/{names[0]}", headers=headers)
+        if response.status_code != 200:
+            record["status"], record["reason"], record["error"] = (
+                "error",
+                "no_png",
+                f"artifact http {response.status_code}",
+            )
+            return
+        self.renders_dir.mkdir(parents=True, exist_ok=True)
+        file_name = f"{case.case_id}-r{repeat}.png"
+        (self.renders_dir / file_name).write_bytes(response.content)
+        record["png"] = f"{self.renders_dir.name}/{file_name}"
+
+
+# --- The matrix ------------------------------------------------------------------------------
+
+
+@dataclass
+class MatrixResult:
+    """A finished matrix run: the report, where it went, the diff and the exit code."""
+
+    report: dict[str, Any]
+    report_path: Path
+    summary_path: Path
+    gallery_path: Path
+    diff: Diff | None
+    exit_code: int
+    baseline_written: Path | None = None
+    notes: list[str] = field(default_factory=list)
+
+
+def _echo(text: str) -> None:
+    print(text, file=sys.stderr, flush=True)
+
+
+def _git_sha() -> str | None:
+    try:
+        done = subprocess.run(
+            ["git", "rev-parse", "HEAD"], cwd=REPO_ROOT, capture_output=True, text=True, timeout=5, check=False
+        )
+    except (OSError, subprocess.SubprocessError):
+        return None
+    return done.stdout.strip() or None
+
+
+def _version(package: str) -> str | None:
+    try:
+        return importlib.metadata.version(package)
+    except importlib.metadata.PackageNotFoundError:
+        return None
+
+
+def build_stamp(
+    settings: "AgentSettings", config: MatrixConfig, cases: list["EvalCase"], started: datetime
+) -> dict[str, Any]:
+    """What produced the report: the configuration, the versions, the prompts and the prices."""
+    from agents import main as service
+
+    return {
+        "run_id": hashlib.sha256(f"{started.isoformat()}-{secrets.token_hex(8)}".encode()).hexdigest()[:12],
+        "date": started.date().isoformat(),
+        "started_at": started.isoformat(timespec="seconds"),
+        "finished_at": None,
+        "provider": settings.provider,
+        "model": settings.model,
+        "judge_model": settings.judge_model,
+        "location": settings.location,
+        "renderer": settings.renderer,
+        "render_url": getattr(settings, "render_url", None),
+        "adk_version": _version("google-adk"),
+        "anthropic_version": _version("anthropic"),
+        "service_version": _version("anyplot"),
+        "python": platform.python_version(),
+        "git_sha": _git_sha(),
+        "prompt_hashes": service._prompt_hashes(),
+        "prices_usd_per_mtok": {
+            model: {"input": price_of(model).input, "output": price_of(model).output}
+            for model in sorted({settings.model, settings.judge_model})
+        },
+        "location_surcharge": LOCATION_SURCHARGE.get(settings.location, 0.0),
+        "cases": config.cases,
+        "case_count": len(cases),
+        "repeats": config.repeats,
+        "budget_usd": config.budget_usd,
+        "tolerance": config.tolerance,
+        "gallery_seed": config.seed,
+        "baseline": str(config.baseline_path) if config.baseline_path else None,
+        "argv": list(config.argv),
+    }
+
+
+def _unique(path: Path) -> Path:
+    if not path.exists():
+        return path
+    for index in range(2, 1000):
+        candidate = path.with_name(f"{path.stem}-{index}{path.suffix}")
+        if not candidate.exists():
+            return candidate
+    raise SetupError(f"too many reports named {path.stem} in {path.parent}")
+
+
+def is_error(run: dict[str, Any]) -> bool:
+    """A run that ended in an error, which measures an outage or a bug rather than the model.
+
+    The harness's own crash (`harness_error`), the service's refusal of a request
+    (`status == "error"`: a session that could not open, a judge outage, a turn that
+    ended with `capacity` or without a result, a shipped plot without its PNG), the
+    pipeline's `failed (error)`, and an `error` event that came with a plot all count.
+    """
+    return (
+        run.get("status") in ERROR_STATUSES
+        or run.get("reason") == "error"
+        or bool(run.get("error"))
+        or bool(run.get("pipeline_error"))
+    )
+
+
+def write_baseline(report: dict[str, Any], baselines_dir: Path) -> tuple[Path | None, str | None]:
+    """Write the report as `<baselines_dir>/<model>.json`; refused for a partial run, errors or users' cases."""
+    runs = report.get("runs") or []
+    if report.get("stopped"):
+        return None, f"not saved as a baseline: the run stopped early ({report['stopped']})"
+    if any(run.get("origin") != "fixtures" for run in runs):
+        return None, "not saved as a baseline: the run includes promoted cases, which hold users' data"
+    errors = sorted({str(run.get("case_id")) for run in runs if is_error(run)})
+    if errors:
+        return None, (
+            f"not saved as a baseline: {len(errors)} cases ended in an error ({', '.join(errors[:5])}"
+            + (", ..." if len(errors) > 5 else "")
+            + "); rerun once the cause is fixed"
+        )
+    baselines_dir.mkdir(parents=True, exist_ok=True)
+    path = baselines_dir / f"{report['stamp']['model']}.json"
+    path.write_text(json.dumps(report, indent=2, ensure_ascii=False) + "\n", encoding="utf-8")
+    return path, None
+
+
+async def run_matrix(
+    cases: list["EvalCase"],
+    config: MatrixConfig,
+    *,
+    services: "Services | None" = None,
+    runtime: "Runtime | None" = None,
+    echo: Callable[[str], None] = _echo,
+) -> MatrixResult:
+    """Run every case `config.repeats` times, write the report, the summary and the galleries, compare and decide."""
+    from agents import main as service
+    from agents.anyplot.services import Services, set_services
+    from agents.anyplot.settings import get_settings
+
+    settings = get_settings()
+    services = services or Services()
+    set_services(services)
+    if config.render_token is not None:
+        await config.render_token.renew(services)
+    if config.preflight:
+        await preflight(cases, services, echo)
+    runtime = runtime or service.Runtime()
+    saved_overrides = dict(service.app.dependency_overrides)
+    service.app.dependency_overrides[service.get_runtime] = lambda: runtime
+    service.app.dependency_overrides[service.check_caller] = lambda: None  # in process: there is no caller to check
+    collector = AttributionCollector()
+    attribution_logger = logging.getLogger(ATTRIBUTION_LOGGER)
+    saved_level = attribution_logger.level
+    attribution_logger.setLevel(logging.INFO)
+    attribution_logger.addHandler(collector)
+    config.out.mkdir(parents=True, exist_ok=True)
+    started = datetime.now(UTC)
+    stamp = build_stamp(settings, config, cases, started)
+    timed = TimedApp(service.app)
+    runs: list[dict[str, Any]] = []
+    stopped: str | None = None
+    total = costliest = 0.0
+    errors_in_a_row = 0
+    plan = [(case, repeat) for repeat in range(1, config.repeats + 1) for case in cases]
+    try:
+        transport = httpx.ASGITransport(app=timed)
+        async with httpx.AsyncClient(transport=transport, base_url="http://agents", timeout=None) as client:
+            runner = CaseRunner(client, timed, collector, settings, config.out / "renders")
+            for index, (case, repeat) in enumerate(plan, start=1):
+                if config.budget_usd is not None and runs and total + costliest > config.budget_usd:
+                    stopped = "budget"
+                    echo(
+                        f"stopped: ${total:.4f} spent, and the costliest case so far (${costliest:.4f}) "
+                        f"could pass --budget-usd {config.budget_usd}"
+                    )
+                    break
+                if config.render_token is not None:
+                    try:
+                        if await config.render_token.renew(services):
+                            echo("renewed the renderer token")
+                    except SetupError as exc:
+                        stopped = "outage"
+                        echo(f"stopped: the renderer token could not be renewed: {exc}")
+                        break
+                record = await runner.run(case, repeat)
+                runs.append(record)
+                total += record["cost_usd"]
+                costliest = max(costliest, record["cost_usd"])
+                echo(
+                    f"[{index}/{len(plan)}] {case.case_id} r{repeat}: {record['status']}"
+                    + (f" ({record['reason']})" if record["reason"] else "")
+                    + f", {'pass' if record['passed'] else 'fail'}, attempts {record['attempts']}, "
+                    f"${record['cost_usd']:.4f}, {record['e2e_s'] or 0:.1f} s (total ${total:.4f})"
+                )
+                errors_in_a_row = errors_in_a_row + 1 if is_error(record) else 0
+                if record.get("pipeline_error") == RENDERER_OUTAGE:
+                    stopped = "outage"
+                    echo(
+                        f"stopped: the renderer became unavailable during {case.case_id} ({RENDERER_OUTAGE}); "
+                        "check its URL and your token (AGENT_RENDER_TOKEN lasts one hour; --gcloud-token renews it)"
+                    )
+                    break
+                if errors_in_a_row >= MAX_ERRORS_IN_A_ROW:
+                    stopped = "outage"
+                    echo(
+                        f"stopped: {errors_in_a_row} runs in a row ended in an error "
+                        f"(last: {record.get('pipeline_error') or record.get('error') or record.get('reason')}); "
+                        "check the models' quota and the renderer before you rerun"
+                    )
+                    break
+                if config.budget_usd is not None and total > config.budget_usd and index < len(plan):
+                    stopped = "budget"
+                    echo(f"stopped: the estimated cost ${total:.4f} passed --budget-usd {config.budget_usd}")
+                    break
+    except asyncio.CancelledError:
+        stopped = "interrupted"
+    finally:
+        service.app.dependency_overrides.clear()
+        service.app.dependency_overrides.update(saved_overrides)
+        attribution_logger.removeHandler(collector)
+        attribution_logger.setLevel(saved_level)
+    stamp["finished_at"] = datetime.now(UTC).isoformat(timespec="seconds")
+    summary = summarize(runs)
+    report = {"schema": REPORT_SCHEMA, "stamp": stamp, "summary": summary, "runs": runs, "stopped": stopped}
+    diff = compare(config.baseline, report, tolerance=config.tolerance) if config.baseline is not None else None
+    result = write_outputs(report, config, diff)
+    if stopped == "interrupted":
+        echo(f"interrupted: the partial report is {result.report_path}")
+        raise asyncio.CancelledError
+    if config.save_baseline:
+        result.baseline_written, note = write_baseline(report, config.baselines_dir)
+        if note:
+            result.notes.append(note)
+    harness_errors = summary["harness_errors"]
+    if harness_errors:
+        result.notes.append(
+            f"{harness_errors} runs crashed in the harness (the `error` field of each run names the class); "
+            "they count as failures"
+        )
+    if stopped == "outage":
+        result.exit_code = EXIT_OUTAGE
+    elif stopped:
+        result.exit_code = EXIT_STOPPED
+    elif (diff is not None and diff.regression) or harness_errors:
+        result.exit_code = EXIT_REGRESSION
+    return result
+
+
+def write_outputs(report: dict[str, Any], config: MatrixConfig, diff: Diff | None) -> MatrixResult:
+    """Write the JSON report, its Markdown summary and the two gallery pages under `config.out`."""
+    stamp = report["stamp"]
+    report_path = _unique(config.out / f"{stamp['date']}-{stamp['model']}.json")
+    report_path.write_text(json.dumps(report, indent=2, ensure_ascii=False) + "\n", encoding="utf-8")
+    summary_path = report_path.with_suffix(".md")
+    summary_path.write_text(summary_markdown(report, diff), encoding="utf-8")
+    gallery_path = config.out / "gallery.html"
+    gallery_path.write_text(
+        gallery_html(report, config.out, size=config.gallery_size, seed=config.seed), encoding="utf-8"
+    )
+    (config.out / "gallery-all.html").write_text(gallery_all_html(report), encoding="utf-8")
+    return MatrixResult(report, report_path, summary_path, gallery_path, diff, EXIT_OK)
+
+
+def load_baseline(path: Path) -> dict[str, Any]:
+    """A saved report to compare against; refuses another schema version."""
+    try:
+        baseline = json.loads(path.read_text(encoding="utf-8"))
+    except (OSError, ValueError) as exc:
+        raise SetupError(f"cannot read the baseline {path} ({type(exc).__name__})") from exc
+    if not isinstance(baseline, dict) or baseline.get("schema") != REPORT_SCHEMA or "summary" not in baseline:
+        raise SetupError(f"{path} is not a report of schema {REPORT_SCHEMA}")
+    return baseline
+
+
+def main(argv: list[str] | None = None) -> int:
+    args = parse_args(argv)
+    try:
+        configure(args, os.environ)
+        if args.gcloud_token:
+            os.environ["AGENT_RENDER_TOKEN"] = gcloud_token()
+    except SetupError as exc:
+        _echo(f"setup: {exc}")
+        return EXIT_SETUP
+    from pydantic import ValidationError
+
+    from agents.anyplot.settings import get_settings
+
+    get_settings.cache_clear()
+    try:
+        settings = get_settings()
+    except ValidationError as exc:
+        _echo(f"settings: {exc}")
+        return EXIT_SETUP
+    try:
+        result = _prepare_and_run(args, settings, argv)
+    except (SetupError, UnknownPrice) as exc:
+        _echo(f"setup: {exc}")
+        return EXIT_SETUP
+    except KeyboardInterrupt:
+        return 130
+    stamp_model = result.report["stamp"]["model"]
+    summary = result.report["summary"]
+    print(f"Report: {result.report_path}")
+    print(f"Summary: {result.summary_path}")
+    print(f"Gallery: {result.gallery_path}")
+    if result.baseline_written:
+        print(f"Baseline: {result.baseline_written}")
+    for note in result.notes:
+        print(note)
+    rate = summary.get("pass_rate")
+    print(
+        f"{stamp_model}: {summary['passed']} of {summary['runs']} runs passed"
+        + (f" ({rate * 100:.1f} %)" if rate is not None else "")
+        + f", ${summary['cost_total_usd']:.4f} at list price"
+    )
+    if result.diff is not None:
+        print(diff_markdown(result.diff))
+    if result.exit_code == EXIT_STOPPED:
+        print("Stopped early by --budget-usd: the report covers the runs that finished.")
+    if result.exit_code == EXIT_OUTAGE:
+        print("Stopped by an outage: the report covers the runs that finished; fix the cause and rerun.")
+    return result.exit_code
+
+
+def _prepare_and_run(args: argparse.Namespace, settings: "AgentSettings", argv: list[str] | None) -> MatrixResult:
+    """The checks that need the settings, then the run."""
+    from agents.anyplot.render import make_backend
+    from agents.anyplot.render.contract import RendererUnavailable
+    from agents.anyplot.settings import AgentSettings
+    from agents.evals.cases import CaseError, load_cases, select_cases
+
+    price_of(settings.model)
+    price_of(settings.judge_model)
+    if args.render_url and "render_url" not in AgentSettings.model_fields:
+        raise SetupError(
+            "this checkout's AgentSettings has no render_url, so the remote renderer is not built here; "
+            "merge the renderer change first"
+        )
+    try:
+        make_backend(settings)
+    except RendererUnavailable as exc:
+        raise SetupError(f"renderer {settings.renderer}: {exc}") from exc
+    try:
+        cases = select_cases(load_cases(), args.cases)
+    except CaseError as exc:
+        raise SetupError(str(exc)) from exc
+    if not cases:
+        raise SetupError(f"no case matches --cases {args.cases!r}")
+    baseline_path: Path | None = None
+    if not args.no_baseline:
+        pinned = BASELINES_DIR / f"{AgentSettings.model_fields['model'].default}.json"
+        baseline_path = args.baseline or (pinned if pinned.is_file() else None)
+    if settings.renderer == "remote" and not args.gcloud_token and (note := token_note(os.environ)):
+        _echo(note)
+    config = MatrixConfig(
+        cases=args.cases,
+        repeats=args.repeats,
+        budget_usd=args.budget_usd,
+        out=args.out,
+        baseline=load_baseline(baseline_path) if baseline_path else None,
+        baseline_path=baseline_path,
+        tolerance=args.tolerance,
+        seed=args.seed,
+        gallery_size=args.gallery_size,
+        save_baseline=args.save_baseline,
+        preflight=not args.no_preflight,
+        render_token=RenderToken(os.environ) if args.gcloud_token else None,
+        argv=list(sys.argv[1:] if argv is None else argv),
+    )
+    return asyncio.run(run_matrix(cases, config))
+
+
+if __name__ == "__main__":
+    raise SystemExit(main())
diff --git a/agents/evals/pricing.py b/agents/evals/pricing.py
new file mode 100644
index 0000000000..0e4e4905d2
--- /dev/null
+++ b/agents/evals/pricing.py
@@ -0,0 +1,95 @@
+"""List prices of the agent network's models, and the cost of one model call at list price.
+
+Prices are USD per million tokens at the `global` endpoint, as of 2026-10-10 (the
+owner's brief and docs/concepts/agent-network.md): Claude Haiku 5.5 $0.10 input and
+$0.50 output; Gemini 3.8 Flash $1.50 and $7.50; Gemini 3.5 Flash-Lite $0.30 and $2.50.
+The `eu` and `us` multi-regions add 10 % (`LOCATION_SURCHARGE`), which gives the eu
+prices the design names ($1.65 and $8.25 for Gemini 3.8 Flash, $0.33 and $2.75 for the
+judge). The spend cap counts list price, never the 50 % Gemini promotion, so neither
+does the harness.
+
+A call is priced from the attribution line's token counts (`plugins/ledger.usage_breakdown`):
+
+* input: `prompt` (which includes cached and cache-write tokens) plus `tool_use_prompt`;
+  `cached` tokens at `CACHE_READ_FACTOR` (0.1) of the input price, Anthropic
+  `cache_write` tokens at `CACHE_WRITE_FACTOR` (1.25), the rest at the input price;
+* output: `candidates` plus `thoughts`, at the output price.
+
+The cache factors are Anthropic's published multipliers; Gemini's implicit cache is
+billed at the same 10 %. Not modelled: Claude Haiku 5.5's long-prompt tier ($0.50 input
+and $2.50 output above 100,000 prompt tokens), which no call reaches while the request
+budget is 80,000 tokens (`AGENT_REQUEST_TOKEN_BUDGET`); raise that budget and this
+module must price the tier. Re-check every number here, including Vertex AI's partner
+pricing for Claude, before a spend decision: prices change on a monthly cadence.
+"""
+
+from dataclasses import dataclass
+from typing import Any
+
+
+@dataclass(frozen=True)
+class Price:
+    """USD per million tokens at the global endpoint."""
+
+    input: float
+    output: float
+
+
+PRICES: dict[str, Price] = {
+    "claude-haiku-5-5": Price(input=0.10, output=0.50),
+    "gemini-3.8-flash": Price(input=1.50, output=7.50),
+    "gemini-3.5-flash-lite": Price(input=0.30, output=2.50),
+}
+LOCATION_SURCHARGE: dict[str, float] = {"global": 0.0, "eu": 0.10, "us": 0.10}
+CACHE_READ_FACTOR = 0.10
+CACHE_WRITE_FACTOR = 1.25
+PER_TOKEN = 1e-6
+
+TOKEN_KINDS: tuple[str, ...] = (
+    "prompt",
+    "candidates",
+    "thoughts",
+    "cached",
+    "cache_write",
+    "tool_use_prompt",
+    "judge_input",
+    "judge_output",
+)
+"""The token counts a run record keeps; the two `judge_` kinds are the dataset and scope judge's."""
+
+
+class UnknownPrice(KeyError):
+    """No list price is recorded for a model; add it to `PRICES`."""
+
+
+def price_of(model: str) -> Price:
+    try:
+        return PRICES[model]
+    except KeyError:
+        raise UnknownPrice(f"no list price for {model!r}; add it to agents/evals/pricing.py") from None
+
+
+def surcharge(location: str) -> float:
+    """The location's multiplier on the global list price."""
+    return 1.0 + LOCATION_SURCHARGE.get(location, 0.0)
+
+
+def call_cost(model: str, location: str, tokens: dict[str, Any]) -> float:
+    """USD at list price of one model call, from its attribution line's token counts."""
+    price = price_of(model)
+
+    def count(name: str) -> int:
+        value = tokens.get(name, 0)
+        return value if isinstance(value, int) and value > 0 else 0
+
+    cached, cache_write = count("cached"), count("cache_write")
+    uncached = max(0, count("prompt") + count("tool_use_prompt") - cached - cache_write)
+    input_cost = price.input * (uncached + cached * CACHE_READ_FACTOR + cache_write * CACHE_WRITE_FACTOR)
+    output_cost = price.output * (count("candidates") + count("thoughts"))
+    return (input_cost + output_cost) * PER_TOKEN * surcharge(location)
+
+
+def judge_cost(model: str, location: str, input_tokens: int, output_tokens: int) -> float:
+    """USD at list price of one judge call (no cache)."""
+    price = price_of(model)
+    return (price.input * max(0, input_tokens) + price.output * max(0, output_tokens)) * PER_TOKEN * surcharge(location)
diff --git a/agents/evals/report.py b/agents/evals/report.py
new file mode 100644
index 0000000000..9731fd2a49
--- /dev/null
+++ b/agents/evals/report.py
@@ -0,0 +1,802 @@
+"""Reports of the matrix harness: the summary, the diff against a baseline, Markdown, and the review galleries.
+
+No import of `agents.anyplot` (importing that package builds the agents from the
+settings, which the harness configures first), so the report code also works on a
+saved report alone.
+
+A report is the JSON `matrix.py` writes: `{"schema", "stamp", "summary", "runs",
+"stopped"}`; a baseline is a report kept under `agents/evals/baselines/`. Each run
+record is one case and repeat (see `matrix.base_record` for its fields).
+
+**Pass.** A run passes when it shipped a render (`ok` or `needs_attention`) that
+passed every deterministic gate: the host gates R1 to R3 without a padded canvas, and
+no ADAPTATION validator finding on the shipped code. The advisory probe gates (G3,
+G5, G7, G8) and the reviewer's verdict do not decide a pass; the owner's blind
+judgement in the gallery does that for the sample, which holds passed renders only.
+Every rate counts all runs: a run that crashed in the harness did not pass.
+**Accept-match** compares the harness outcome (`accepted` when the status is `ok`, the
+reviewer's pass) with a case's `expected` value; cases that expect `unknown` are left
+out.
+
+**Diff.** `compare` measures both reports over the case ids they share (all repeats of
+each), so a smoke run is judged against the same 12 cases of a full baseline, not
+against the baseline's whole-matrix rate; each report's own full rate is an extra row.
+
+Run as a module, it merges two reports into one blind gallery and scores the export:
+
+    python -m agents.evals.report blind --report A.json --report B.json --out DIR
+    python -m agents.evals.report score --key DIR/blind-key.json judgements.json
+"""
+
+import argparse
+import base64
+import hashlib
+import html
+import io
+import json
+import math
+import random
+import statistics
+import sys
+from collections import Counter
+from collections.abc import Callable, Iterable
+from dataclasses import dataclass, field
+from pathlib import Path
+from typing import Any, NamedTuple
+
+
+REPORT_SCHEMA = 1
+SHIPPED = ("ok", "needs_attention")
+GALLERY_SIZE = 30
+GALLERY_MAX_WIDTH = 1600
+"""The gallery embeds each render scaled to at most this width; the full-size PNG stays in `renders/`."""
+
+
+# --- Summary -------------------------------------------------------------------------------
+
+
+def percentile(values: Iterable[float], q: float) -> float | None:
+    """The `q` quantile (0 to 1) with linear interpolation, or None without values."""
+    ordered = sorted(values)
+    if not ordered:
+        return None
+    position = (len(ordered) - 1) * q
+    low, high = math.floor(position), math.ceil(position)
+    return ordered[low] + (ordered[high] - ordered[low]) * (position - low)
+
+
+def _rate(part: int, whole: int) -> float | None:
+    return part / whole if whole else None
+
+
+def _group(runs: list[dict[str, Any]], key: Callable[[dict[str, Any]], str]) -> dict[str, dict[str, Any]]:
+    groups: dict[str, list[dict[str, Any]]] = {}
+    for run in runs:
+        groups.setdefault(key(run), []).append(run)
+    return {
+        name: {
+            "runs": len(items),
+            "passed": sum(1 for run in items if run.get("passed")),
+            "ok": sum(1 for run in items if run.get("status") == "ok"),
+            "pass_rate": _rate(sum(1 for run in items if run.get("passed")), len(items)),
+        }
+        for name, items in sorted(groups.items())
+    }
+
+
+def _counter(runs: list[dict[str, Any]], field_name: str) -> dict[str, int]:
+    total: Counter[str] = Counter()
+    for run in runs:
+        total.update(run.get(field_name) or {})
+    return dict(sorted(total.items()))
+
+
+def summarize(runs: list[dict[str, Any]]) -> dict[str, Any]:
+    """The headline numbers of a run list.
+
+    The pass and ok rates count every run, so harness errors count as failures and a
+    run list that mostly crashed cannot look healthy. Latencies and calls per run
+    cover the `counted` runs, the ones that finished in the service.
+    """
+    counted = [run for run in runs if run.get("status") != "harness_error"]
+    passed = [run for run in runs if run.get("passed")]
+    judged = [run for run in runs if run.get("accept_match") is not None]
+    cost_total = sum(float(run.get("cost_usd") or 0.0) for run in runs)
+    e2e = [run["e2e_s"] for run in counted if isinstance(run.get("e2e_s"), int | float)]
+    ttfe = [run["ttfe_s"] for run in counted if isinstance(run.get("ttfe_s"), int | float)]
+    renders = [value for run in counted for value in run.get("render_s") or []]
+    tokens: Counter[str] = Counter()
+    for run in runs:
+        tokens.update(run.get("tokens") or {})
+    reviewer = Counter(str((run.get("reviewer") or {}).get("verdict")) for run in counted)
+    return {
+        "runs": len(runs),
+        "counted": len(counted),
+        "harness_errors": len(runs) - len(counted),
+        "pipeline_errors": sum(1 for run in counted if run.get("reason") == "error"),
+        "statuses": dict(sorted(Counter(str(run.get("status")) for run in runs).items())),
+        "passed": len(passed),
+        "pass_rate": _rate(len(passed), len(runs)),
+        "repaired_passes": sum(1 for run in passed if run.get("attempts") == 2),
+        "ok_rate": _rate(sum(1 for run in runs if run.get("status") == "ok"), len(runs)),
+        "accept_judged": len(judged),
+        "accept_match_rate": _rate(sum(1 for run in judged if run.get("accept_match")), len(judged)),
+        "cost_total_usd": cost_total,
+        "cost_per_run_usd": cost_total / len(runs) if runs else None,
+        "cost_per_success_usd": cost_total / len(passed) if passed else None,
+        "median_cost_per_success_usd": statistics.median(float(run.get("cost_usd") or 0.0) for run in passed)
+        if passed
+        else None,
+        "latency_s": {
+            "e2e_p50": percentile(e2e, 0.5),
+            "e2e_p95": percentile(e2e, 0.95),
+            "ttfe_p50": percentile(ttfe, 0.5),
+            "ttfe_p95": percentile(ttfe, 0.95),
+            "render_p50": percentile(renders, 0.5),
+            "render_p95": percentile(renders, 0.95),
+        },
+        "llm_calls_per_run": statistics.fmean(int(run.get("llm_calls") or 0) for run in counted) if counted else None,
+        "tokens": dict(sorted(tokens.items())),
+        "gate_failures": _counter(runs, "gate_failures"),
+        "validator_rejections": _counter(runs, "validator_rejections"),
+        "adapter_outcomes": _counter(runs, "adapter_outcomes"),
+        "edit_apply_failures": sum(int(run.get("edit_apply_failures") or 0) for run in runs),
+        "reviewer": dict(sorted(reviewer.items())),
+        "model_versions": sorted({version for run in runs for version in run.get("model_versions") or []}),
+        "by_perturbation": _group(runs, lambda run: str(run.get("perturbation") or "custom")),
+        "by_library": _group(runs, lambda run: str(run.get("library"))),
+        "by_spec": _group(runs, lambda run: str(run.get("spec_id"))),
+    }
+
+
+# --- Diff ---------------------------------------------------------------------------------
+
+
+class Flip(NamedTuple):
+    """A shared case whose share of passed runs changed: `passed` of `runs` in the baseline and in this run."""
+
+    case_id: str
+    base_passed: int
+    base_runs: int
+    cand_passed: int
+    cand_runs: int
+
+
+@dataclass
+class Diff:
+    """A candidate report against a baseline over their shared cases: rows, flipped cases, the regression verdict."""
+
+    rows: list[tuple[str, str, str, str]]
+    flipped: list[Flip]
+    regression: bool
+    tolerance: float
+    baseline_label: str
+    shared_cases: int = 0
+    only_in_baseline: int = 0
+    only_in_candidate: int = 0
+    notes: list[str] = field(default_factory=list)
+
+
+def _pct(value: float | None) -> str:
+    return "n/a" if value is None else f"{value * 100:.1f} %"
+
+
+def _usd(value: float | None) -> str:
+    return "n/a" if value is None else f"${value:.4f}"
+
+
+def _secs(value: float | None) -> str:
+    return "n/a" if value is None else f"{value:.1f} s"
+
+
+def _num(value: float | None) -> str:
+    return "n/a" if value is None else f"{value:.2f}"
+
+
+def _change(base: float | None, cand: float | None, kind: str) -> str:
+    if base is None or cand is None:
+        return ""
+    delta = cand - base
+    if kind == "pct":
+        return f"{delta * 100:+.1f} pp"
+    if kind == "usd":
+        relative = f" ({delta / base * 100:+.0f} %)" if base else ""
+        return f"{'+' if delta >= 0 else '-'}${abs(delta):.4f}{relative}"
+    if kind == "secs":
+        return f"{delta:+.1f} s"
+    return f"{delta:+.2f}"
+
+
+METRICS: tuple[tuple[str, Callable[[dict[str, Any]], float | None], str], ...] = (
+    ("Pass rate", lambda s: s.get("pass_rate"), "pct"),
+    ("Accept-match rate", lambda s: s.get("accept_match_rate"), "pct"),
+    ("ok rate", lambda s: s.get("ok_rate"), "pct"),
+    ("Cost per successful plot", lambda s: s.get("cost_per_success_usd"), "usd"),
+    ("Median cost per successful plot", lambda s: s.get("median_cost_per_success_usd"), "usd"),
+    ("p50 end to end", lambda s: (s.get("latency_s") or {}).get("e2e_p50"), "secs"),
+    ("p95 end to end", lambda s: (s.get("latency_s") or {}).get("e2e_p95"), "secs"),
+    ("p50 time to first event", lambda s: (s.get("latency_s") or {}).get("ttfe_p50"), "secs"),
+    ("LLM calls per run", lambda s: s.get("llm_calls_per_run"), "num"),
+)
+FORMATS: dict[str, Callable[[float | None], str]] = {"pct": _pct, "usd": _usd, "secs": _secs, "num": _num}
+
+
+def _by_case(report: dict[str, Any]) -> dict[str, list[dict[str, Any]]]:
+    """A report's runs grouped by case id (every repeat, harness errors included)."""
+    groups: dict[str, list[dict[str, Any]]] = {}
+    for run in report.get("runs") or []:
+        groups.setdefault(str(run.get("case_id")), []).append(run)
+    return groups
+
+
+def _row(label: str, base: float | None, cand: float | None, kind: str) -> tuple[str, str, str, str]:
+    return (label, FORMATS[kind](base), FORMATS[kind](cand), _change(base, cand, kind))
+
+
+def compare(baseline: dict[str, Any], candidate: dict[str, Any], *, tolerance: float) -> Diff:
+    """The diff of `candidate` against `baseline` over the case ids both hold.
+
+    Both sides are summarised afresh over those cases (all their repeats), so the rows
+    and the regression verdict (the shared pass rate below the baseline's minus
+    `tolerance`) compare like with like. A case flips when its share of passed runs
+    changed. Each report's pass rate over all of its own runs is an extra row when the
+    case sets differ.
+    """
+    base_cases, cand_cases = _by_case(baseline), _by_case(candidate)
+    shared = sorted(base_cases.keys() & cand_cases.keys())
+    base_runs = [run for case in shared for run in base_cases[case]]
+    cand_runs = [run for case in shared for run in cand_cases[case]]
+    base_summary, cand_summary = summarize(base_runs), summarize(cand_runs)
+    rows = [("Runs compared", str(len(base_runs)), str(len(cand_runs)), "")]
+    rows += [_row(label, read(base_summary), read(cand_summary), kind) for label, read, kind in METRICS]
+    only_base, only_cand = len(base_cases.keys() - cand_cases.keys()), len(cand_cases.keys() - base_cases.keys())
+    if only_base or only_cand:
+        rows.append(
+            _row(
+                "Pass rate, all runs of each report",
+                summarize([run for runs in base_cases.values() for run in runs])["pass_rate"],
+                summarize([run for runs in cand_cases.values() for run in runs])["pass_rate"],
+                "pct",
+            )
+        )
+    flipped = []
+    for case in shared:
+        base_passed = sum(1 for run in base_cases[case] if run.get("passed"))
+        cand_passed = sum(1 for run in cand_cases[case] if run.get("passed"))
+        base_total, cand_total = len(base_cases[case]), len(cand_cases[case])
+        if base_passed * cand_total != cand_passed * base_total:
+            flipped.append(Flip(case, base_passed, base_total, cand_passed, cand_total))
+    base_rate, cand_rate = base_summary["pass_rate"], cand_summary["pass_rate"]
+    regression = base_rate is not None and cand_rate is not None and cand_rate < base_rate - tolerance
+    stamp = baseline.get("stamp") or {}
+    diff = Diff(
+        rows=rows,
+        flipped=flipped,
+        regression=regression,
+        tolerance=tolerance,
+        baseline_label=f"{stamp.get('model', '?')} ({stamp.get('date', '?')})",
+        shared_cases=len(shared),
+        only_in_baseline=only_base,
+        only_in_candidate=only_cand,
+    )
+    if not shared:
+        diff.notes.append("No case is in both reports, so nothing was compared.")
+    elif only_base or only_cand:
+        diff.notes.append(
+            f"The rows compare the {len(shared)} cases both reports hold; {only_base} cases are only in the "
+            f"baseline and {only_cand} only in this run."
+        )
+    if cand_runs and 1 / len(cand_runs) > tolerance:
+        diff.notes.append(
+            f"One run is {100 / len(cand_runs):.1f} pp of the {len(cand_runs)} compared runs, more than the "
+            f"{tolerance * 100:.1f} pp tolerance: a single run that flips from pass to fail is a regression."
+        )
+    return diff
+
+
+def _flip_text(flip: Flip) -> str:
+    if flip.base_runs == flip.cand_runs == 1:
+        return f"{'pass' if flip.base_passed else 'fail'} → {'pass' if flip.cand_passed else 'fail'}"
+    return f"{flip.base_passed} of {flip.base_runs} passed → {flip.cand_passed} of {flip.cand_runs}"
+
+
+def diff_markdown(diff: Diff) -> str:
+    """The diff as a Markdown table, readable in a terminal and in a job summary."""
+    lines = [
+        f"Baseline {diff.baseline_label}, over the {diff.shared_cases} cases both reports hold; a pass-rate drop "
+        f"of more than {diff.tolerance * 100:.1f} pp is a regression.",
+        "",
+        "| Metric | Baseline | This run | Change |",
+        "|---|---|---|---|",
+        *(f"| {label} | {base} | {cand} | {change} |" for label, base, cand, change in diff.rows),
+        "",
+    ]
+    if diff.flipped:
+        lines.append(f"Flipped cases ({len(diff.flipped)}):")
+        lines.append("")
+        lines += [f"- `{flip.case_id}`: {_flip_text(flip)}" for flip in diff.flipped]
+    else:
+        lines.append("No case flipped between pass and fail.")
+    lines += ["", *diff.notes] if diff.notes else []
+    lines += [
+        "",
+        "**Regression**: the pass rate dropped below the baseline minus the tolerance." if diff.regression else "",
+    ]
+    return "\n".join(lines).rstrip() + "\n"
+
+
+# --- Markdown summary ----------------------------------------------------------------------
+
+
+def _table(header: list[str], rows: list[list[str]]) -> list[str]:
+    return [
+        "| " + " | ".join(header) + " |",
+        "|" + "---|" * len(header),
+        *("| " + " | ".join(row) + " |" for row in rows),
+        "",
+    ]
+
+
+def _groups_table(groups: dict[str, dict[str, Any]], label: str) -> list[str]:
+    rows = [
+        [name, str(item["runs"]), str(item["passed"]), _pct(item["pass_rate"]), str(item["ok"])]
+        for name, item in groups.items()
+    ]
+    return _table([label, "Runs", "Passed", "Pass rate", "ok"], rows)
+
+
+def _failure_reason(run: dict[str, Any]) -> str:
+    """The reason column of a run that did not pass, with the error class when there was one."""
+    reason = str(run.get("reason") or ("canvas padded" if run.get("padded") else ""))
+    error = run.get("pipeline_error") or (run.get("error") if run.get("status") == "harness_error" else None)
+    return f"{reason} ({error})" if reason and error else reason or str(error or "")
+
+
+def summary_markdown(report: dict[str, Any], diff: Diff | None = None) -> str:
+    """The Markdown summary written next to the JSON report."""
+    stamp, summary = report.get("stamp") or {}, report.get("summary") or {}
+    latency = summary.get("latency_s") or {}
+    lines = [
+        f"# Eval run {stamp.get('date', '')}: {stamp.get('model', '')}",
+        "",
+        f"Provider `{stamp.get('provider')}`, model `{stamp.get('model')}`, judge `{stamp.get('judge_model')}`, "
+        f"location `{stamp.get('location')}`, renderer `{stamp.get('renderer')}`; cases `{stamp.get('cases')}` "
+        f"({stamp.get('case_count')} cases, {stamp.get('repeats')} runs each); ADK {stamp.get('adk_version')}, "
+        f"commit `{str(stamp.get('git_sha') or '')[:12]}`.",
+        "",
+    ]
+    if report.get("stopped"):
+        lines += [f"**Stopped early** ({report['stopped']}): the rates cover the runs that finished.", ""]
+    lines += ["## Results", ""]
+    lines += _table(
+        ["Metric", "Value"],
+        [
+            [
+                "Runs",
+                f"{summary.get('runs')} ({summary.get('harness_errors')} harness errors, "
+                f"{summary.get('pipeline_errors', 0)} pipeline errors)",
+            ],
+            [
+                "Pass rate",
+                f"{_pct(summary.get('pass_rate'))} ({summary.get('passed')} passed, "
+                f"{summary.get('repaired_passes')} of them after a repair)",
+            ],
+            ["ok rate", _pct(summary.get("ok_rate"))],
+            ["Accept-match rate", f"{_pct(summary.get('accept_match_rate'))} of {summary.get('accept_judged')}"],
+            ["Statuses", ", ".join(f"{name} {count}" for name, count in (summary.get("statuses") or {}).items())],
+            ["Cost at list price", _usd(summary.get("cost_total_usd"))],
+            ["Cost per successful plot", _usd(summary.get("cost_per_success_usd"))],
+            ["Median cost per successful plot", _usd(summary.get("median_cost_per_success_usd"))],
+            ["End to end p50 / p95", f"{_secs(latency.get('e2e_p50'))} / {_secs(latency.get('e2e_p95'))}"],
+            ["Time to first event p50 / p95", f"{_secs(latency.get('ttfe_p50'))} / {_secs(latency.get('ttfe_p95'))}"],
+            ["Render p50 / p95", f"{_secs(latency.get('render_p50'))} / {_secs(latency.get('render_p95'))}"],
+            ["LLM calls per run", _num(summary.get("llm_calls_per_run"))],
+            ["Tokens", ", ".join(f"{name} {count:,}" for name, count in (summary.get("tokens") or {}).items())],
+            ["Model versions", ", ".join(summary.get("model_versions") or []) or "n/a"],
+        ],
+    )
+    lines += ["## By perturbation", "", *_groups_table(summary.get("by_perturbation") or {}, "Perturbation")]
+    lines += ["## By library", "", *_groups_table(summary.get("by_library") or {}, "Library")]
+    lines += ["## By spec", "", *_groups_table(summary.get("by_spec") or {}, "Spec")]
+    lines += ["## Gates, validator and reviewer", ""]
+    counts = [
+        *(["Gate " + name, str(count)] for name, count in (summary.get("gate_failures") or {}).items()),
+        *(["Validator " + name, str(count)] for name, count in (summary.get("validator_rejections") or {}).items()),
+        *(["Adapter " + name, str(count)] for name, count in (summary.get("adapter_outcomes") or {}).items()),
+        ["Edit-apply failure lines", str(summary.get("edit_apply_failures"))],
+        *(["Reviewer " + name, str(count)] for name, count in (summary.get("reviewer") or {}).items()),
+    ]
+    lines += _table(["Finding", "Count"], counts)
+    if diff is not None:
+        lines += ["## Against the baseline", "", diff_markdown(diff)]
+    failures = [run for run in report.get("runs") or [] if not run.get("passed")]
+    if failures:
+        lines += ["## Runs that did not pass", ""]
+        lines += _table(
+            ["Case", "Repeat", "Status", "Reason", "Attempts", "Gates", "Validator"],
+            [
+                [
+                    f"`{run.get('case_id')}`",
+                    str(run.get("repeat")),
+                    str(run.get("status")),
+                    _failure_reason(run),
+                    str(run.get("attempts")),
+                    ", ".join(f"{name} {count}" for name, count in (run.get("gate_failures") or {}).items()),
+                    ", ".join(f"{name} {count}" for name, count in (run.get("validator_rejections") or {}).items()),
+                ]
+                for run in failures
+            ],
+        )
+    return "\n".join(lines).rstrip() + "\n"
+
+
+# --- Galleries ----------------------------------------------------------------------------
+
+_STYLE = """
+:root { color-scheme: light dark; --bg: #faf8f1; --card: #ffffff; --ink: #1a1a17; --muted: #5d5b52;
+  --line: #d9d6cb; --accept: #1d7a46; --reject: #b71d27; }
+@media (prefers-color-scheme: dark) { :root { --bg: #1a1a17; --card: #24241f; --ink: #f0efe8;
+  --muted: #b3b1a6; --line: #3b3a33; --accept: #5cc98a; --reject: #f07178; } }
+* { box-sizing: border-box; }
+body { margin: 0; background: var(--bg); color: var(--ink); font: 15px/1.5 system-ui, sans-serif; }
+header, main { max-width: 1240px; margin: 0 auto; padding: 16px; }
+header { position: sticky; top: 0; background: var(--bg); border-bottom: 1px solid var(--line); z-index: 1; }
+@media (max-width: 700px) { header { position: static; } }
+a { color: inherit; }
+h1 { font-size: 20px; margin: 0 0 4px; }
+p { margin: 4px 0; color: var(--muted); }
+.bar { display: flex; flex-wrap: wrap; gap: 12px; align-items: center; margin-top: 8px; }
+button { font: inherit; padding: 6px 14px; border-radius: 6px; border: 1px solid var(--line);
+  background: var(--card); color: var(--ink); cursor: pointer; }
+.card { background: var(--card); border: 1px solid var(--line); border-radius: 10px; margin: 16px 0; padding: 12px; }
+.card img { width: 100%; height: auto; display: block; border-radius: 6px; border: 1px solid var(--line); }
+.meta { display: flex; flex-wrap: wrap; gap: 6px 16px; margin: 8px 0; font-size: 14px; }
+.meta b { font-weight: 600; }
+ul.residual { margin: 4px 0 8px 20px; padding: 0; font-size: 13px; color: var(--muted); }
+.choice { display: flex; gap: 20px; font-weight: 600; }
+.choice label { display: flex; gap: 6px; align-items: center; cursor: pointer; }
+.choice .accept { color: var(--accept); } .choice .reject { color: var(--reject); }
+table { width: 100%; border-collapse: collapse; font-size: 13px; }
+th, td { text-align: left; padding: 6px; border-bottom: 1px solid var(--line); vertical-align: top; }
+td img { width: 160px; height: auto; border: 1px solid var(--line); border-radius: 4px; }
+.scroll { overflow-x: auto; }
+"""
+
+_SCRIPT = """
+(function () {
+  var items = JSON.parse(document.getElementById("items").textContent);
+  var key = "anyplot-eval-gallery:" + document.body.dataset.run;
+  var choices = {};
+  try { choices = JSON.parse(window.localStorage.getItem(key) || "{}") || {}; } catch (e) { choices = {}; }
+  function save() { try { window.localStorage.setItem(key, JSON.stringify(choices)); } catch (e) {} }
+  function count() {
+    var accepted = 0, rejected = 0;
+    items.forEach(function (item) {
+      if (choices[item.key] === "accept") accepted++;
+      if (choices[item.key] === "reject") rejected++;
+    });
+    document.getElementById("progress").textContent =
+      accepted + " accepted, " + rejected + " rejected, " + (items.length - accepted - rejected) + " open";
+    return { accepted: accepted, rejected: rejected };
+  }
+  document.querySelectorAll("input[data-choice]").forEach(function (box) {
+    var itemKey = box.dataset.key;
+    box.checked = choices[itemKey] === box.dataset.choice;
+    box.addEventListener("change", function () {
+      document.querySelectorAll('input[data-key="' + itemKey + '"]').forEach(function (other) {
+        if (other !== box) other.checked = false;
+      });
+      choices[itemKey] = box.checked ? box.dataset.choice : null;
+      save();
+      count();
+    });
+  });
+  document.getElementById("export").addEventListener("click", function () {
+    var totals = count();
+    var judged = totals.accepted + totals.rejected;
+    var payload = {
+      run_id: document.body.dataset.run,
+      sample_seed: Number(document.body.dataset.seed),
+      accepted: totals.accepted,
+      rejected: totals.rejected,
+      open: items.length - judged,
+      acceptance_rate: judged ? totals.accepted / judged : null,
+      judgements: items.map(function (item) {
+        return { key: item.key, case_id: item.case_id, repeat: item.repeat, choice: choices[item.key] || null };
+      })
+    };
+    var blob = new Blob([JSON.stringify(payload, null, 2) + "\\n"], { type: "application/json" });
+    var link = document.createElement("a");
+    link.href = URL.createObjectURL(blob);
+    link.download = "judgements-" + document.body.dataset.run + ".json";
+    document.body.appendChild(link);
+    link.click();
+    link.remove();
+  });
+  count();
+})();
+"""
+
+
+def _esc(value: Any) -> str:
+    return html.escape(str(value), quote=True)
+
+
+def passed_runs(report: dict[str, Any]) -> list[dict[str, Any]]:
+    """The runs whose render passed the deterministic gates and was saved, in report order.
+
+    The gallery samples only these: a padded canvas or an ADAPTATION finding already
+    failed the run, so the owner's acceptance rate measures the renders that passed.
+    """
+    return [run for run in report.get("runs") or [] if run.get("passed") and run.get("png")]
+
+
+def sample_runs(report: dict[str, Any], *, size: int = GALLERY_SIZE, seed: int = 0) -> list[dict[str, Any]]:
+    """A seeded random sample of `size` passed runs, in random order."""
+    candidates = passed_runs(report)
+    return random.Random(seed).sample(candidates, min(size, len(candidates)))
+
+
+def png_data_uri(path: Path, max_width: int = GALLERY_MAX_WIDTH) -> str:
+    """The PNG at `path` as a data URI, scaled down to `max_width` (Pillow) when it is wider."""
+    data = path.read_bytes()
+    try:
+        from PIL import Image
+
+        with Image.open(io.BytesIO(data)) as image:
+            if image.width > max_width:
+                image.thumbnail((max_width, max_width * image.height // image.width))
+                buffer = io.BytesIO()
+                image.save(buffer, format="PNG", optimize=True)
+                data = buffer.getvalue()
+    except (OSError, ValueError):
+        pass  # not a decodable PNG: embed it as it is
+    return "data:image/png;base64," + base64.b64encode(data).decode("ascii")
+
+
+def _meta(run: dict[str, Any]) -> str:
+    fields = [
+        ("Spec", run.get("spec_id")),
+        ("Library", run.get("library")),
+        ("Perturbation", run.get("perturbation") or "custom"),
+        ("Status", run.get("status")),
+    ]
+    return "".join(f"<span><b>{_esc(label)}</b> {_esc(value)}</span>" for label, value in fields)
+
+
+JUDGE_HINT = (
+    "Judge each plot as a user would: accept it when you would use it as it is. Your choices stay in this "
+    "browser until you export them."
+)
+
+
+def _review_page(
+    entries: list[tuple[str, dict[str, Any], Path]], *, page_id: str, seed: int, title: str, intro: str
+) -> str:
+    """A self-contained review page: one card per `(key, run, png path)` with an accept and reject pair.
+
+    The CSS, the script and the PNGs (as data URIs) are inline. The page names no
+    provider and no model; the export lists every key with its choice.
+    """
+    items = []
+    cards = []
+    for index, (key, run, png) in enumerate(entries, start=1):
+        items.append(
+            {
+                "key": key,
+                "case_id": run.get("case_id"),
+                "repeat": run.get("repeat"),
+                "spec_id": run.get("spec_id"),
+                "library": run.get("library"),
+                "perturbation": run.get("perturbation"),
+                "status": run.get("status"),
+            }
+        )
+        residual = "".join(f"<li>{_esc(line)}</li>" for line in run.get("residual_defects") or [])
+        cards.append(
+            f'<section class="card" id="{key}">'
+            f'<img alt="{_esc(run.get("spec_id"))} rendered with {_esc(run.get("library"))}" '
+            f'src="{png_data_uri(png)}">'
+            f'<div class="meta"><span><b>#{index}</b></span>{_meta(run)}</div>'
+            + (f'<ul class="residual">{residual}</ul>' if residual else "")
+            + f'<div class="choice"><label class="accept"><input type="checkbox" data-key="{key}" '
+            f'data-choice="accept"> Accept</label><label class="reject"><input type="checkbox" data-key="{key}" '
+            f'data-choice="reject"> Reject</label></div></section>'
+        )
+    items_json = json.dumps(items, ensure_ascii=False).replace("</", "<\\/")
+    return (
+        "<!doctype html>\n"
+        '<html lang="en">\n<head>\n<meta charset="utf-8">\n'
+        '<meta name="viewport" content="width=device-width, initial-scale=1">\n'
+        f"<title>{_esc(title)}</title>\n"
+        f"<style>{_STYLE}</style>\n</head>\n"
+        f'<body data-run="{_esc(page_id)}" data-seed="{seed}">\n'
+        f"<header><h1>{_esc(title)}</h1><p>{intro}</p>"
+        '<div class="bar"><button id="export" type="button">Export judgements as JSON</button>'
+        '<span id="progress"></span></div></header>\n'
+        f"<main>{''.join(cards) or '<p>No passed render to review.</p>'}</main>\n"
+        f'<script type="application/json" id="items">{items_json}</script>\n'
+        f"<script>{_SCRIPT}</script>\n"
+        "</body>\n</html>\n"
+    )
+
+
+def gallery_html(report: dict[str, Any], out_dir: Path, *, size: int = GALLERY_SIZE, seed: int = 0) -> str:
+    """The review page of one run: a sample of passed renders with an accept and reject pair each.
+
+    It never names the provider or the model; the folder it sits in may, so use
+    `blind_gallery` to compare two arms without knowing which is which.
+    """
+    stamp = report.get("stamp") or {}
+    sample = sample_runs(report, size=size, seed=seed)
+    entries = [(f"k{index:02d}", run, out_dir / str(run["png"])) for index, run in enumerate(sample, start=1)]
+    intro = (
+        f"{len(sample)} renders sampled at random from the {len(passed_runs(report))} renders that passed the "
+        f'gates (seed {seed}). {JUDGE_HINT} <a href="gallery-all.html">All renders</a>'
+    )
+    return _review_page(
+        entries, page_id=str(stamp.get("run_id") or "run"), seed=seed, title="Render review", intro=intro
+    )
+
+
+ARMS: tuple[str, str] = ("a", "b")
+
+
+def _passed_by_key(report: dict[str, Any]) -> dict[str, dict[str, Any]]:
+    return {f"{run.get('case_id')}#{run.get('repeat')}": run for run in passed_runs(report)}
+
+
+def blind_gallery(
+    reports: list[tuple[dict[str, Any], Path]], *, size: int = GALLERY_SIZE, seed: int = 0
+) -> tuple[str, dict[str, Any]]:
+    """One review page over two runs, and the key that says which render came from which run.
+
+    `reports` is two `(report, the directory its renders/ folder is in)` pairs. The page
+    samples `size` case runs (`case_id#repeat`) that passed in both reports and shows
+    both renders of each, all shuffled; it names neither run. The key (written next to
+    the page, never into it) maps every card to its run, for `score`.
+    """
+    if len(reports) != len(ARMS):
+        raise ValueError("a blind gallery compares exactly two reports")
+    passed = [_passed_by_key(report) for report, _ in reports]
+    common = sorted(passed[0].keys() & passed[1].keys())
+    chosen = random.Random(seed).sample(common, min(size, len(common)))
+    cards = [(arm, case_key) for case_key in chosen for arm in range(len(ARMS))]
+    random.Random(seed + 1).shuffle(cards)
+    run_ids = [str((report.get("stamp") or {}).get("run_id")) for report, _ in reports]
+    page_id = hashlib.sha256(f"{run_ids[0]}|{run_ids[1]}|{seed}".encode()).hexdigest()[:12]
+    entries = []
+    key_items: dict[str, dict[str, Any]] = {}
+    for index, (arm, case_key) in enumerate(cards, start=1):
+        run = passed[arm][case_key]
+        card = f"k{index:03d}"
+        entries.append((card, run, reports[arm][1] / str(run["png"])))
+        key_items[card] = {"arm": ARMS[arm], "case_id": run.get("case_id"), "repeat": run.get("repeat")}
+    intro = (
+        f"{len(chosen)} cases that passed in both runs, each shown twice (once from each run, in random order: "
+        f"{len(entries)} renders, seed {seed}). The page does not say which run made a render; judge every plot "
+        f"on its own. {JUDGE_HINT}"
+    )
+    page = _review_page(entries, page_id=page_id, seed=seed, title="Blind render review", intro=intro)
+    key: dict[str, Any] = {
+        "blind_id": page_id,
+        "seed": seed,
+        "cases": len(chosen),
+        "common_cases": len(common),
+        "arms": {
+            ARMS[index]: {
+                "provider": (report.get("stamp") or {}).get("provider"),
+                "model": (report.get("stamp") or {}).get("model"),
+                "run_id": run_ids[index],
+                "passed": len(passed[index]),
+            }
+            for index, (report, _) in enumerate(reports)
+        },
+        "items": key_items,
+    }
+    return page, key
+
+
+def score(key: dict[str, Any], judgements: dict[str, Any]) -> dict[str, dict[str, Any]]:
+    """The acceptance per run of a blind gallery's export, joined to its key by card key."""
+    if judgements.get("run_id") != key.get("blind_id"):
+        raise ValueError("the judgements belong to another gallery (run_id differs from the key's blind_id)")
+    choices = {str(item.get("key")): item.get("choice") for item in judgements.get("judgements") or []}
+    result: dict[str, dict[str, Any]] = {}
+    for arm, about in (key.get("arms") or {}).items():
+        cards = [card for card, item in (key.get("items") or {}).items() if item.get("arm") == arm]
+        accepted = sum(1 for card in cards if choices.get(card) == "accept")
+        rejected = sum(1 for card in cards if choices.get(card) == "reject")
+        result[arm] = {
+            "provider": about.get("provider"),
+            "model": about.get("model"),
+            "renders": len(cards),
+            "accepted": accepted,
+            "rejected": rejected,
+            "open": len(cards) - accepted - rejected,
+            "acceptance_rate": _rate(accepted, accepted + rejected),
+        }
+    return result
+
+
+def _load_json(path: Path) -> dict[str, Any]:
+    data = json.loads(path.read_text(encoding="utf-8"))
+    if not isinstance(data, dict):
+        raise ValueError(f"{path} is not a JSON object")
+    return data
+
+
+def main(argv: list[str] | None = None) -> int:
+    """`blind`: write a two-run blind gallery and its key; `score`: acceptance per run from an export."""
+    parser = argparse.ArgumentParser(prog="python -m agents.evals.report", description=main.__doc__)
+    commands = parser.add_subparsers(dest="command", required=True)
+    blind = commands.add_parser("blind", help="merge two reports into one blind review page")
+    blind.add_argument("--report", type=Path, action="append", required=True, help="a report JSON (twice)")
+    blind.add_argument("--out", type=Path, required=True, help="directory for blind.html and blind-key.json")
+    blind.add_argument("--size", type=int, default=GALLERY_SIZE, help="cases to sample, two renders each (30)")
+    blind.add_argument("--seed", type=int, default=0, help="seed of the sample and the order (0)")
+    scored = commands.add_parser("score", help="acceptance per run from a blind gallery's export")
+    scored.add_argument("--key", type=Path, required=True, help="the blind-key.json next to the page")
+    scored.add_argument("judgements", type=Path, help="the exported judgements JSON")
+    args = parser.parse_args(argv)
+    try:
+        if args.command == "blind":
+            if len(args.report) != len(ARMS):
+                parser.error("pass --report exactly twice")
+            reports = [(_load_json(path), path.resolve().parent) for path in args.report]
+            page, key = blind_gallery(reports, size=args.size, seed=args.seed)
+            args.out.mkdir(parents=True, exist_ok=True)
+            (args.out / "blind.html").write_text(page, encoding="utf-8")
+            (args.out / "blind-key.json").write_text(json.dumps(key, indent=2) + "\n", encoding="utf-8")
+            print(f"Page: {args.out / 'blind.html'} ({len(key['items'])} renders of {key['cases']} cases)")
+            print(f"Key: {args.out / 'blind-key.json'} (do not open it before you have judged the page)")
+            return 0
+        result = score(_load_json(args.key), _load_json(args.judgements))
+    except (OSError, ValueError) as exc:
+        print(f"error: {exc}", file=sys.stderr)
+        return 2
+    print("| Run | Provider | Model | Renders | Accepted | Rejected | Open | Acceptance |")
+    print("|---|---|---|---|---|---|---|---|")
+    for arm, row in result.items():
+        print(
+            f"| {arm} | {row['provider']} | {row['model']} | {row['renders']} | {row['accepted']} | "
+            f"{row['rejected']} | {row['open']} | {_pct(row['acceptance_rate'])} |"
+        )
+    return 0
+
+
+def gallery_all_html(report: dict[str, Any]) -> str:
+    """The second page: every run with its status and a thumbnail from `renders/` (not embedded, so it stays small)."""
+    rows = []
+    for run in report.get("runs") or []:
+        image = (
+            f'<a href="{_esc(run["png"])}"><img loading="lazy" alt="" src="{_esc(run["png"])}"></a>'
+            if run.get("png")
+            else ""
+        )
+        residual = "<br>".join(_esc(line) for line in run.get("residual_defects") or [])
+        rows.append(
+            "<tr>"
+            f"<td>{image}</td><td>{_esc(run.get('case_id'))}<br>repeat {_esc(run.get('repeat'))}</td>"
+            f"<td>{_esc(run.get('status'))}{('<br>' + _esc(run.get('reason'))) if run.get('reason') else ''}</td>"
+            f"<td>{'pass' if run.get('passed') else 'fail'}</td><td>{_esc(run.get('attempts'))}</td>"
+            f"<td>{residual}</td></tr>"
+        )
+    return (
+        "<!doctype html>\n"
+        '<html lang="en">\n<head>\n<meta charset="utf-8">\n'
+        '<meta name="viewport" content="width=device-width, initial-scale=1">\n'
+        "<title>All renders</title>\n"
+        f"<style>{_STYLE}</style>\n</head>\n<body>\n"
+        "<header><h1>All renders</h1>"
+        f'<p>{len(rows)} runs. Thumbnails load from the renders folder next to this page. <a href="gallery.html">'
+        "Back to the review</a></p></header>\n"
+        '<main><div class="scroll"><table><thead><tr><th>Render</th><th>Case</th><th>Status</th><th>Pass</th>'
+        "<th>Attempts</th><th>Residual notes</th></tr></thead><tbody>"
+        + "".join(rows)
+        + "</tbody></table></div></main>\n</body>\n</html>\n"
+    )
+
+
+if __name__ == "__main__":
+    raise SystemExit(main())
diff --git a/agents/main.py b/agents/main.py
index f4275d7b77..ba96d1eb21 100644
--- a/agents/main.py
+++ b/agents/main.py
@@ -568,7 +568,14 @@ async def upload_dataset(
         attribution("data_judge", ledger, verdict="guard_unavailable")
         raise AgentsError(503, "guard_unavailable") from None
     services.usage.add_tokens(user, verdict.tokens)
-    attribution("data_judge", ledger, verdict=verdict.verdict, judge_tokens=verdict.tokens)
+    attribution(
+        "data_judge",
+        ledger,
+        verdict=verdict.verdict,
+        judge_tokens=verdict.tokens,
+        judge_input=verdict.input_tokens,
+        judge_output=verdict.output_tokens,
+    )
     if verdict.verdict != "in_scope":  # fail closed, like the scope guard
         raise AgentsError(403, "data_refused")
     try:
diff --git a/changelog.d/agents-evals.md b/changelog.d/agents-evals.md
new file mode 100644
index 0000000000..0d1b856973
--- /dev/null
+++ b/changelog.d/agents-evals.md
@@ -0,0 +1,57 @@
+### Added
+
+- **A model-regression harness for the agent network.** `uv run --extra
+  agents python -m agents.evals.matrix` runs eval cases through the real
+  `/v1` flow in process (the same plugins, run queue, judge, pipeline and
+  gates as a user's request) with the models the flags name (`--provider`,
+  `--model`, `--judge-model`, `--location`) and the render backend
+  `--renderer` names (`remote`, `local`, or `fake` for a dry run). Per case it
+  records the status, attempts, gate failures by gate, validator rejections,
+  edit-apply failures, the reviewer's verdict, LLM calls, tokens by kind,
+  `model_version`, the cost at list price and the latencies, writes a JSON
+  report and a Markdown summary, prints a diff table against the pinned
+  model's baseline over the cases both runs hold, and exits non-zero when the
+  pass rate on those cases drops below it or a run crashes in the harness.
+  A preflight render before the first case, an outage stop (the renderer
+  unavailable, or three errors in a row) and `--gcloud-token`, which renews
+  the developer's renderer token during a long run, keep an outage from
+  turning into a matrix of failed runs or a baseline. `--budget-usd` stops a
+  run before a case that could take the estimated cost past the budget. A
+  review page samples 30 renders that passed the gates with an accept and
+  reject pair each and exports the owner's judgements as JSON, so one command
+  answers spike X and every later model or prompt comparison. (#12116)
+- **A blind two-run review gallery.** `python -m agents.evals.report blind`
+  merges two harness reports into one page that shows both runs' renders of
+  the same cases in random order without naming the run, and `report score`
+  turns the exported judgements into an acceptance rate per run, so spike X
+  picks the phase-1 model by an unbiased judgement. (#12116)
+- **A catalogue eligibility sweep.** `python -m agents.evals.eligibility`
+  normalises and scans every matplotlib and seaborn file in `plots/`, without
+  a model call, and counts the eligible, coupled and blocked pairs, the
+  blocked ones by reason (SECURITY findings by rule id, a missing `THEME`
+  block, a savefig target other than `f"plot-{THEME}.png"`, the map specs).
+  (#12116)
+- **The spike-X eval cases and the first baseline.** 120 synthetic cases: 10 specs from 10 plot
+  families, each eligible in matplotlib and seaborn, times six datasets
+  (renamed headers, values times 10, 12 rows, 5,000 rows, `DD.MM.YYYY` and ISO
+  dates, and semicolon text with decimal commas), written by the seeded,
+  rerunnable `agents/evals/make_fixtures.py`, which a unit test keeps in sync
+  with the committed files. The smoke set is 12 of them plus the two
+  hand-written cases. `agents/evals/baselines/claude-haiku-5-5.json` is the
+  first baseline: the spike-X run of 2026-10-10 on the Claude Haiku 5.5 arm,
+  where 102 of the 122 runs passed the gates (83.6 %) at $0.52 list price.
+  (#12116)
+
+### Changed
+
+- **Content-free attribution lines for every pipeline step.** The plot
+  pipeline now logs the adapter's outcome, edit-apply failures, blocking
+  validator rules, the gate ids that failed or reported with the render time,
+  the reviewer's verdict and defect ids, and the run's result with the
+  exception class of a run that ended in an error; the model line carries the
+  token counts by kind, and the judges report input and output tokens
+  separately. The harness prices and counts from these lines, and none of
+  them carries code, data or model text. (#12116)
+- **The eval harness stays out of the container images.** `.dockerignore`
+  excludes `agents/evals/` (about 3 MB of fixture cases, local reports, and
+  promoted cases that hold users' data) from the root build context. (#12116)
diff --git a/docs/concepts/agent-network.md b/docs/concepts/agent-network.md
index bf58a54c2b..d4f3fc0950 100644
--- a/docs/concepts/agent-network.md
+++ b/docs/concepts/agent-network.md
@@ -1,6 +1,6 @@
 # Agent network design
 
-> **Status (2026-10-10):** design, with the runtime core built and running locally and the renderer service built but not deployed. Built: the `agents/` package (ADK pin, `AgentSettings` and the Pydantic contracts in `agents/anyplot/schemas.py`); the deterministic data layer in `agents/anyplot/data/` (the parser, data roles, default bindings and the dataset store described under [Parse](#parse)) and `bindings.apply` (`session_state.apply_bindings`, called by `PUT /v1/sessions/{sid}/bindings` and the `set_bindings` tool); the deterministic code layer in `agents/anyplot/code/` (the two-profile AST validator in `validate.py`, plus the protected regions, the canvas normaliser, the readiness scan, the edit applier, the loader and the export in `regions.py`, `normalise.py`, `readiness.py`, `edits.py`, `loader.py` and `export.py`); the runtime core (the root agent, the adapters and the reviewer, the plot pipeline, the ScopeGuard, Budget and ToolSafety plugins, the render layer with the probe harness, the host gates and the `fake` and `local` Docker backends, the private `/v1` service with its `anyplot/1` stream, the run queue in front of whole pipeline runs, and one-theme renders with an on-demand theme toggle; see `agents/README.md`); the `anyplot-renderer` service in `agents/renderer/` (the sandbox executor with the kill path, the run watchdog and the launcher retry from spikes S and S2, one render slot, cancellation on disconnect, the caller check, its image, its CI image job and its Cloud Build config) and the `remote` render backend that calls it (see [Render](#render)); the `/debug/agent` BFF router in `api/routers/agent.py` (shipped dark behind `AGENT_ENABLED`); and two shared building blocks, `core/canvas.py` (the canvas gate and the PNG auto-reject checks) and `core/defects.py` (the review feedback grammar). Every agent runs on Claude Haiku 5.5 on Vertex AI by default, with Gemini 3.8 Flash as the second arm behind `AGENT_PROVIDER` (see the Model row under [Goals and fixed decisions](#goals-and-fixed-decisions)). Not built: the agents image, the deploy of either service, `core/catalogue`, the regression harness and the evals, quick-feedback storage and triage, the React page and the button, the analytics events, and everything in phase 2. The research behind it was verified against ADK v2.11.0 and the Vertex AI documentation on 2026-10-08; re-check version-sensitive facts (model ids, prices, ADK APIs) before you implement a section.
+> **Status (2026-10-10):** design, with the runtime core, the renderer service and the regression harness built and running locally (the renderer is not deployed). Built: the `agents/` package (ADK pin, `AgentSettings` and the Pydantic contracts in `agents/anyplot/schemas.py`); the deterministic data layer in `agents/anyplot/data/` (the parser, data roles, default bindings and the dataset store described under [Parse](#parse)) and `bindings.apply` (`session_state.apply_bindings`, called by `PUT /v1/sessions/{sid}/bindings` and the `set_bindings` tool); the deterministic code layer in `agents/anyplot/code/` (the two-profile AST validator in `validate.py`, plus the protected regions, the canvas normaliser, the readiness scan, the edit applier, the loader and the export in `regions.py`, `normalise.py`, `readiness.py`, `edits.py`, `loader.py` and `export.py`); the runtime core (the root agent, the adapters and the reviewer, the plot pipeline, the ScopeGuard, Budget and ToolSafety plugins, the render layer with the probe harness, the host gates and the `fake` and `local` Docker backends, the private `/v1` service with its `anyplot/1` stream, the run queue in front of whole pipeline runs, and one-theme renders with an on-demand theme toggle; see `agents/README.md`); the `anyplot-renderer` service in `agents/renderer/` (the sandbox executor with the kill path, the run watchdog and the launcher retry from spikes S and S2, one render slot, cancellation on disconnect, the caller check, its image, its CI image job and its Cloud Build config) and the `remote` render backend that calls it (see [Render](#render)); the model-regression harness `agents/evals/matrix.py` with the 120 synthetic spike-X cases its seeded generator `agents/evals/make_fixtures.py` writes, the blind two-run review gallery and the catalogue eligibility sweep `agents/evals/eligibility.py` (see [Model-version regression harness](#model-version-regression-harness)), with the Claude Haiku 5.5 baseline from the first spike-X run of 2026-10-10 committed in `agents/evals/baselines/`; the `/debug/agent` BFF router in `api/routers/agent.py` (shipped dark behind `AGENT_ENABLED`); and two shared building blocks, `core/canvas.py` (the canvas gate and the PNG auto-reject checks) and `core/defects.py` (the review feedback grammar). Every agent runs on Claude Haiku 5.5 on Vertex AI by default, with Gemini 3.8 Flash as the second arm behind `AGENT_PROVIDER` (see the Model row under [Goals and fixed decisions](#goals-and-fixed-decisions)). Not built: the agents image, the deploy of either service, `core/catalogue`, the Gemini baseline, the scope evalset and the flow evals, `agents-eval.yml`, quick-feedback storage and triage, the React page and the button, the analytics events, and everything in phase 2. The research behind it was verified against ADK v2.11.0 and the Vertex AI documentation on 2026-10-08; re-check version-sensitive facts (model ids, prices, ADK APIs) before you implement a section.
 
 This document describes the agent network that lets a visitor paste their own data on a plot page and get that plot adapted, rendered and reviewed ("Use with my data"), and later helps them find the right plot type. It is built with [Google ADK](https://adk.dev) (Python) on Vertex AI (now branded Gemini Enterprise Agent Platform) inside the `anyplot` GCP project: on Claude Haiku 5.5 by default, with Gemini 3.8 Flash as the second arm.
 
@@ -290,11 +290,13 @@ Every agent result can be reported with one click and a short text, and the repo
 
 Testing a newer model version, the other provider's arm, a different judge model, or a prompt or validator change is one command locally or one workflow dispatch in CI, and the answer is a diff against the pinned baseline.
 
-- **Fixture cases**, each a directory with `case.json` (spec, library, bindings, expected `accepted` or `rejected`, tags), `data.csv`, and an optional `change_request.txt`. Two sources: the committed synthetic fixtures in `agents/evals/fixtures/cases/<id>/`, seeded from spike X (10 specs times 5 perturbation datasets), and the promoted feedback cases synced from the private bucket into the gitignored `agents/evals/.cases/` directory (never committed, because they hold users' data). The scope, injection and code-escape sets stay as evalsets.
-- **Harness** (`agents/evals/matrix.py`, the spike-X runner made permanent): runs every case through the real `/v1` flow in-process (httpx `ASGITransport`, the Docker local renderer, the same plugins) with candidate settings that are passed only to the harness: `--provider` (the settings refuse a model from the other provider, so a candidate from the other arm names both), `--model`, `--judge-model`, `--location`, `--prompts <dir>`, `--cases smoke|full|<glob>`, `--repeats N`. Per case it records the deterministic gate results, the reviewer verdict, attempts, edit-apply failures, validator rejections, `model_version`, tokens (prompt, candidates, thoughts, cached), cost at list price and latency per step. It writes `reports/<date>-<model>.json` and prints a diff table against `agents/evals/baselines/<pinned-model>.json`: pass rate, accept-match rate (cases whose outcome matches the owner's recorded reaction), cost per successful plot, p50 and p95 latency, refusal recall and false-refusal rate on the scope set, and every case that flipped. The exit code is non-zero when the pass rate or the safety recall drops below the baseline minus a tolerance.
-- **Baselines.** `agents/evals/baselines/claude-haiku-5-5.json` is committed with the default model, and `gemini-3.8-flash.json` with the Gemini arm, so the price and quality comparison is a diff between two reports. A model bump is a PR that changes the `AGENT_MODEL` default and adds the new baseline file; a unit test asserts that a baseline exists for the pinned model. The same mechanism covers judge-model bumps and ADK upgrades, because the ADK version is part of the report stamp.
+Built on 2026-10-10: the harness, the fixture generator and the 122 fixture cases, the reports, the diff, the review gallery, the blind two-run gallery with its scoring, and the model-free catalogue eligibility sweep `agents/evals/eligibility.py` (`agents/README.md`, "Run the regression harness"). Not built yet: `--prompts <dir>`, the scope-set metrics (refusal recall and false-refusal rate), `sync_cases.py`, the committed baselines, and the CI workflow.
+
+- **Fixture cases**, each a directory with `case.json` (spec, library, bindings, expected `accepted`, `rejected` or `unknown`, tags, the perturbation and the source of the data), `data.csv`, and an optional `change_request.txt`. Two sources: the committed synthetic fixtures in `agents/evals/fixtures/cases/<id>/`, which are the spike-X matrix (10 specs times matplotlib and seaborn times 6 perturbation datasets, written by the seeded generator `agents/evals/make_fixtures.py`) plus two hand-written cases, and the promoted feedback cases synced from the private bucket into the gitignored `agents/evals/.cases/` directory (never committed, because they hold users' data). The tag `smoke` marks the 12 cases of the smoke set. The scope, injection and code-escape sets stay as evalsets.
+- **Harness** (`agents/evals/matrix.py`, the spike-X runner made permanent): runs every case through the real `/v1` flow in-process (httpx `ASGITransport` against `agents.main:app`, the same plugins and run queue, the models from the settings, and the render backend `--renderer` names: `remote` against a deployed renderer, `local` in Docker, or `fake` for a dry run of everything but the render) with candidate settings that are passed only to the harness: `--provider` (alone it selects that provider's default models; the settings refuse a model from the other provider), `--model`, `--judge-model`, `--location`, `--cases smoke|full|<glob>`, `--repeats N`, `--budget-usd` (stop before a case that could take the estimated list-price cost past it), and `--gcloud-token` (mint the developer's renderer token with the gcloud CLI and renew it before its one-hour expiry). Before the first case it renders each library's catalogue file once through the configured backend, without a model call, and stops with exit code 2 when that fails; during the run a pipeline that ended in `RendererUnavailable` (the `error` class on its `pipeline_result` attribution line), or three errors in a row, stop it with exit code 4, so an outage never becomes a matrix of failed runs or a baseline. Per case it records the status and reason, attempts, gate failures by gate, validator rejections, edit-apply failures, the reviewer verdict, LLM calls, `model_version`, tokens (prompt, candidates, thoughts, cached, cache writes, the judge's input and output), cost at list price, the time to the first event, the end-to-end time and the render time. It reads them from the stream and from the content-free attribution lines that the pipeline, the Budget plugin and the judges write per request id. It writes `<out>/<date>-<model>.json`, a Markdown summary, and a review gallery of 30 renders sampled at random from the runs that passed, with an accept and reject pair each and a JSON export, and prints a diff table against `agents/evals/baselines/<pinned-model>.json` (or `--baseline`) over the cases both reports hold: pass rate, accept-match rate (cases whose outcome matches the case's expected outcome), cost per successful plot, p50 and p95 latency, and every case that flipped. A run passes when it ships a render that passed every deterministic gate (no padded canvas, no ADAPTATION finding); every rate counts harness errors as runs that did not pass. The owner's judgement is the acceptance measure: to compare two arms, `python -m agents.evals.report blind` merges both reports into one gallery of the same cases with the arm hidden in a separate key file, and `report score` gives the acceptance per arm. The exit code is 1 when the pass rate on the shared cases drops below the baseline minus a tolerance (5 percentage points by default) or a run crashed in the harness, 2 for a setup error, 3 when the budget stopped the run, and 4 for an outage.
+- **Baselines.** `agents/evals/baselines/claude-haiku-5-5.json` is committed with the default model (the first spike-X run writes it with `--save-baseline`), and `gemini-3.8-flash.json` with the Gemini arm, so the price and quality comparison is a diff between two reports. `--save-baseline` refuses a run that stopped early, holds promoted cases, or has a run that ended in an error. A model bump is a PR that changes the `AGENT_MODEL` default and adds the new baseline file; a unit test asserts that a baseline exists for the pinned model once any baseline is committed. The same mechanism covers judge-model bumps and ADK upgrades, because the ADK version is part of the report stamp.
 - **CI.** `.github/workflows/agents-eval.yml` has `workflow_dispatch` inputs `provider`, `model`, `judge_model`, `location`, `cases` (smoke or full) and `repeats`, and a nightly `smoke` run on the pinned model. It authenticates through Workload Identity Federation, sets `GOOGLE_CLOUD_LOCATION=eu`, uploads the report as an artifact and writes the diff table into the job summary. It mirrors the candidate-versus-baseline pattern of `review-retest.yml` (see [Review retest](../workflows/review-retest.md)). A lifecycle probe in the nightly run calls `models.get` on the pinned model and fails loudly on a 404 or a retirement notice, so a forced bump of the pinned model, or of the Gemini arm's short-term 3.8 Flash tier, is noticed before users are.
-- **Cost.** A full run is about 50 cases times at most 3 attempts, about $3 to $8 at list price; `smoke` is about $0.50. Both fit inside the spend cap.
+- **Cost.** A full run is 122 cases times at most 2 attempts. Measured on 2026-10-10: $0.52 at list price for the full matrix on the Claude Haiku 5.5 arm ($0.0051 per passed plot, 4.77 model calls per run); the Gemini arm is still estimated at $10 to $15; `smoke` (12 cases) is about a tenth of a full run. Both fit inside the spend cap.
 
 ## Serving and infrastructure
 
@@ -327,8 +329,10 @@ agents/anyplot/data/{parse.py, roles.py, bindings.py, store.py}           # no A
 agents/anyplot/code/{regions.py, normalise.py, readiness.py, edits.py, validate.py, loader.py, export.py}   # no ADK import; built
 agents/anyplot/render/{contract.py, gates.py, png.py, harness.py, serial.py, runtimes/python.py, backends/{remote.py, local.py, sandbox.py, fake.py}}
 agents/renderer/{main.py, executor.py, auth.py, settings.py, wire.py, Dockerfile, cloudbuild.yaml}   # anyplot-renderer; no ADK import, no __init__.py; built
-agents/evals/{scope.evalset.json, test_config.json, harness/test_flows.py, matrix.py, sync_cases.py,
-              baselines/{claude-haiku-5-5,gemini-3.8-flash}.json, fixtures/cases/<id>/{case.json, data.csv} (synthetic only), .cases/ (gitignored, synced from the bucket)}
+agents/evals/{matrix.py, make_fixtures.py, cases.py, pricing.py, report.py, eligibility.py}   # built
+agents/evals/{scope.evalset.json, test_config.json, harness/test_flows.py, sync_cases.py,
+              baselines/{claude-haiku-5-5,gemini-3.8-flash}.json, fixtures/cases/<id>/{case.json, data.csv} (synthetic only),
+              reports/ (gitignored), .cases/ (gitignored, synced from the bucket)}
 core/catalogue/{__init__.py, queries.py}      # shared by api/mcp/server.py and agents/
 core/canvas.py  core/defects.py                # lifted from impl-review.yml and automation/scripts/regen_gate.py (which keeps a parity-tested copy)
 core/database/models.py (AgentFeedback)        alembic/versions/<rev>_agent_feedback.py
@@ -355,7 +359,7 @@ Owner tasks 1 to 6 come first. Then run the spikes:
 | M | One call on `eu` and `global` for both arms: `claude-haiku-5-5` through the Anthropic Vertex SDK and gemini-3.8-flash plus gemini-3.5-flash-lite through google-genai (and, for the record, the alias); the reported model version and usage; free `countTokens` on the adapter and reviewer prefixes | Recorded; under $0.01 (done on 2026-10-09: both arms answer on `eu`) |
 | S | A Cloud Run sandbox in europe-west4: the deploy works; matplotlib and seaborn render with egress blocked; a blocked fetch fails fast; RSS and time at 2 and 4 vCPU; concurrent sandboxes before OOM; cold start; whether the IAM-forwarded ID-token claims are visible to the container and in what signature state; a probe suite (metadata server, DNS and HTTP egress, `/proc/1/environ`, writes outside `/work`, sudo, fork and memory bombs). Run `gcloud components update` first, because the local SDK 534 lacks the flag; ideally in a throwaway project | Everything blocked or contained |
 | G | Can a sandbox read sibling run directories or files the host writes at runtime? | No; otherwise use `--rootfs` with a toolchain-only tree or one render per instance |
-| X | Adaptation: 10 specs times matplotlib and seaborn times 5 datasets (renamed, x10, n=12, n=5000, date, decimal comma) on both arms, `claude-haiku-5-5` and gemini-3.8-flash, so the owner picks the phase-1 default by cost and acceptance; plotly only on figure-level gates because the phase-1 image has no Chrome. Pass means all deterministic gates plus an owner blind accept or reject on a sample of 30 renders. Also reports post-normaliser eligibility under the SECURITY profile and the files blocked for a missing `THEME` block or a non-literal savefig target | Under $25 |
+| X | Adaptation: 10 specs times matplotlib and seaborn times 6 datasets (renamed, x10, n=12, n=5000, date, decimal comma; the cases are in `agents/evals/fixtures/cases/` and run with `agents/evals/matrix.py`, see `agents/README.md`) on both arms, `claude-haiku-5-5` and gemini-3.8-flash, so the owner picks the phase-1 default by cost and acceptance; plotly only on figure-level gates because the phase-1 image has no Chrome. Pass means all deterministic gates plus an owner blind accept or reject on a sample of 30 renders (`python -m agents.evals.report blind` shows both arms' renders of the same cases without naming the arm). Also reports post-normaliser eligibility under the SECURITY profile and the files blocked for a missing `THEME` block or a non-literal savefig target (`agents/evals/eligibility.py`, no model call) | Under $25 |
 | C | Does a NodeTool `Event(message)` arrive before the function response under `StreamingMode.NONE`? | Yes |
 | F | Does a plugin's `on_tool_error` catch a `ValueError`? Is the content returned when `before_run` halts emitted? | Both observed |
 | A′ | Does the reviewer read a canary string from callback-injected images on a single-turn agent with `include_contents='none'` while its structured output still applies (the native `response_schema` on Gemini, the forced tool call on Claude)? | Exact match; fallback is a `view_render` tool returning Parts, which reintroduces the Preview multimodal-function-response path |
@@ -364,6 +368,8 @@ Scaffold `agents/`, run `adk web --port 8002 --session_service_uri memory:// --a
 
 Exit criteria: both arms and the location confirmed by spike M; spikes S and G all blocked with a p95 render under 10 s at 2 vCPU; spike X at least 80 % pass after at most one repair on eligible pairs with owner acceptance of at least 75 % on the sample and a median cost of at most $0.05 per successful plot; scope evals with 100 % of adversarial cases refused and at most 5 % false refusals (guard outages excluded); the validator corpus at 100 % including every named bypass.
 
+Spike X, first run (2026-10-10, Claude Haiku 5.5 on `eu`, the 122 cases through the throwaway renderer, $0.52): 102 runs passed the gates (83.6 %, 93 of them after the one repair), with a median cost of $0.0041 per passed plot and an end-to-end p50 of 18.5 s, so the pass and cost lines of the criterion hold; the owner's acceptance on the 30-render sample is still open. Only 14 runs ended `ok`: 98 ended `needs_attention`, mostly because the probe gate G3 (text beyond the canvas) failed in 60 runs and reported in 56 more, the reviewer's answer could not be read in 18 runs, and the adapter's answer missed its schema in 23 of 141 calls; 10 runs ended `failed (validation)`, 5 of them `box-basic` in matplotlib, where the adapter replaces the `df = load_user_data()` line (`placeholder-count`). seaborn passed 88.5 % and matplotlib 78.7 %; the 12-row dataset was the weakest perturbation (70 %) and values times 10 the strongest (95 %). The Gemini arm has not run yet.
+
 ### Phase 1: admin-only production (about 3 to 4 weeks)
 
 1. The design doc (this document).
@@ -389,7 +395,7 @@ Hard gates before any non-owner use: the legal-page PR (`LegalPage.tsx` plus a p
 
 ## Verification
 
-- **Regression harness.** `uv run --extra agents-eval python -m agents.evals.matrix --model claude-haiku-5-5 --cases smoke` must reproduce the committed baseline within tolerance on every PR that touches `agents/anyplot/prompts/`, `code/` or `render/` (run through `workflow_dispatch`, not automatically, because it spends money). A candidate run with `--model <new>` prints the diff table and exits non-zero on regressions.
+- **Regression harness.** `uv run --extra agents python -m agents.evals.matrix --model claude-haiku-5-5 --cases smoke --renderer remote --render-url <renderer URL>` must reproduce the committed baseline within tolerance on every PR that touches `agents/anyplot/prompts/`, `code/` or `render/` (run through `workflow_dispatch`, not automatically, because it spends money). A candidate run with `--model <new>` prints the diff table and exits non-zero on regressions.
 - **Evals.** `adk eval` runs only the scope set (`uv run --extra agents-eval adk eval agents/anyplot agents/evals/scope.evalset.json --config_file_path agents/evals/test_config.json`, after confirming that the loader picks up `app` with its plugins; `judge_model_options.judge_model="gemini-3.8-flash"`, never the retiring 2.5 Flash default): 50 off-topic cases, 50 jailbreaks (German, role-play, base64, multi-turn drift), 50 in-scope cases, plus general-programming requests framed as plot-code questions; a refusal must equal the fixed string. The flow evals (`use_with_my_data`, `injection` through CSV cells, headers, image labels and catalogue-style comments, and `code_escape`) run as a pytest harness against the real `/v1` routes in-process with fixture CSVs, because the pipeline reads the snapshot, dataset and bindings from server-set state; trajectory, `token_usage_v1` and `inference_call_count_v1` are tracked as regressions. A full eval run costs about $1 to $3.
 - **Unit tests on every PR.** The parser (decimal comma with `DD.MM.YYYY`, header canonicalisation, bidi and zero-width names, caps); the bindings heuristic and `bindings.apply`; the edit applier (ambiguity, protected regions by AST, palette prefix); the validator allow and deny corpus for both profiles (dunder walks, `__builtins__`, `string.Formatter`, `.format`, patsy, `pd.eval`, file-read calls); loader substitution and the working and run forms; the canvas normaliser on the 137 legacy matplotlib files; gate fixtures; the stream translator (author filter, dropped function calls, code-block stripping); the plugins with fake clients (judge timeout or garbage gives `guard_unavailable`; the budget halts the root only; tool errors are mapped; one `plot_pipeline` per invocation); the agent registry test; the BFF (401 and 403, the CSRF header, the 404 kill switch and unset key, user-id derivation, the body allowlist, ownership on artifact routes, SSE re-framing); the caller-claims check; a log and span canary; `find_specs` AND semantics; Vitest for the SSE parser, the page, the result card and button gating.
 - **Run locally.**
@@ -455,7 +461,7 @@ Defaults apply until the owner decides otherwise.
 | Risk | Mitigation |
 |---|---|
 | Cloud Run sandboxes are in Preview with undocumented regions, isolation technology and cross-run visibility | Spikes S and G plus the probe suite gate phase 1; the `RenderBackend` protocol; the fallback is a gen2 service with Direct VPC egress deny or `GkeCodeExecutor` with a custom image; the sandboxes run in `anyplot-renderer`, a service of its own with a zero-role account, from phase 1 |
-| The model adapts poorly (only proxy evidence so far) | Spike X is the go or no-go with owner blind acceptance; an eligibility filter (statically clean data-generation pairs: matplotlib 65 of 251, seaborn 84 of 267; the dpi normaliser removes the canvas condition; plotly's 102 count only in phase 2); hints from the readiness scan; the normalisation workstream; an honest `needs_attention` status |
+| The model adapts poorly (spike X on the Claude arm: 83.6 % pass the gates, but only 14 of 122 runs end `ok`; the G3 clipping gate, unreadable reviewer answers and adapter schema misses are the first prompt and validator items) | Spike X is the go or no-go with owner blind acceptance; an eligibility filter (statically clean data-generation pairs: matplotlib 65 of 251, seaborn 84 of 267; the dpi normaliser removes the canvas condition; plotly's 102 count only in phase 2); hints from the readiness scan; the normalisation workstream; an honest `needs_attention` status |
 | Gemini 3.8 Flash, the second arm, is a short-term tier not on the tier list, and `eu` has its own capacity pool | One `AGENT_MODEL` value, `retry_options` with backoff from day one, `error{code:"capacity"}` on persistent 429s, no fallback model unless the owner names one, the lifecycle probe, an eval gate on every bump |
 | The reviewer is a weak judge (expert correlation about 0.43) | Deterministic gates first, a short checklist, at most one repair, residual defects shown as notes, owner acceptance as the real metric |
 | ADK ships weekly with feature-flag drift | An exact pin to 2.11.0; re-check `FUNCTION_TOOL_ARG_VALIDATION` and `JSON_SCHEMA_FOR_FUNC_DECL` on upgrade; plain-code modules without ADK imports; the harness report stamps the ADK version |
diff --git a/docs/reference/repository.md b/docs/reference/repository.md
index b0565d231e..cf1d3f8c3a 100644
--- a/docs/reference/repository.md
+++ b/docs/reference/repository.md
@@ -100,7 +100,16 @@ anyplot/
 ├── agents/                            # Agent network on Google ADK (see concepts/agent-network.md)
 │   ├── main.py                        # anyplot-agents service: the private /v1 API around the ADK runner
 │   ├── stream.py                      # anyplot/1 SSE translator and output sanitiser
-│   ├── evals/fixtures/cases/          # Eval fixture cases (case.json + data.csv), also the adk web seed
+│   ├── evals/                         # Model-regression harness (see agents/README.md)
+│   │   ├── matrix.py                  # Runs eval cases through /v1 in process; report, diff, gallery
+│   │   ├── make_fixtures.py           # Generates the 120 synthetic spike-X cases (seeded, rerunnable)
+│   │   ├── cases.py                   # Case loading and --cases selection
+│   │   ├── pricing.py                 # List prices and the cost of one model call
+│   │   ├── report.py                  # Summary, baseline diff, Markdown, galleries; blind two-run gallery
+│   │   ├── eligibility.py             # Model-free sweep: which catalogue files can be adapted, and why not
+│   │   ├── baselines/                 # Committed baseline reports, one per model
+│   │   ├── fixtures/cases/            # Eval cases (case.json + data.csv), also the adk web seed
+│   │   └── reports/                   # Run reports, renders and galleries (git-ignored)
 │   ├── renderer/                      # anyplot-renderer service: runs the code in Cloud Run sandboxes, no ADK import
 │   │   ├── main.py                    # POST /render and GET /status behind the IAM caller check, one render slot
 │   │   ├── executor.py                # sandbox do per theme: kill path, byte watchdog, launcher retry, bounded output
diff --git a/tests/unit/agents/evals/__init__.py b/tests/unit/agents/evals/__init__.py
new file mode 100644
index 0000000000..e69de29bb2
diff --git a/tests/unit/agents/evals/conftest.py b/tests/unit/agents/evals/conftest.py
new file mode 100644
index 0000000000..37123fd71f
--- /dev/null
+++ b/tests/unit/agents/evals/conftest.py
@@ -0,0 +1,52 @@
+"""The runtime tests' fixtures, shared: a hermetic development environment, fake services, scripted models.
+
+The matrix harness drives the real `/v1` app, so its tests need exactly what
+`tests/unit/agents/runtime/conftest.py` provides; the redundant aliases re-export
+those fixtures here instead of copying them.
+"""
+
+from html.parser import HTMLParser
+
+from ..runtime.conftest import backend as backend
+from ..runtime.conftest import development_env as development_env
+from ..runtime.conftest import judge as judge
+from ..runtime.conftest import services as services
+from ..runtime.conftest import swap_models as swap_models
+
+
+VOID_ELEMENTS = frozenset({"area", "base", "br", "col", "embed", "hr", "img", "input", "link", "meta", "source", "wbr"})
+
+
+class HtmlChecker(HTMLParser):
+    """A strict-enough HTML check: a doctype, a title, and every non-void element closed in order."""
+
+    def __init__(self) -> None:
+        super().__init__(convert_charrefs=True)
+        self.stack: list[str] = []
+        self.errors: list[str] = []
+        self.doctype = False
+        self.titles = 0
+        self.tags: list[tuple[str, dict[str, str | None]]] = []
+
+    def handle_decl(self, decl: str) -> None:
+        self.doctype = self.doctype or decl.lower() == "doctype html"
+
+    def handle_starttag(self, tag: str, attrs: list[tuple[str, str | None]]) -> None:
+        self.tags.append((tag, dict(attrs)))
+        self.titles += tag == "title"
+        if tag not in VOID_ELEMENTS:
+            self.stack.append(tag)
+
+    def handle_endtag(self, tag: str) -> None:
+        if not self.stack or self.stack[-1] != tag:
+            self.errors.append(f"unexpected </{tag}> with open {self.stack[-3:]}")
+            return
+        self.stack.pop()
+
+
+def check_html(text: str) -> HtmlChecker:
+    """Parse `text` and return the checker; the caller asserts on it."""
+    checker = HtmlChecker()
+    checker.feed(text)
+    checker.close()
+    return checker
diff --git a/tests/unit/agents/evals/test_baselines.py b/tests/unit/agents/evals/test_baselines.py
new file mode 100644
index 0000000000..3e583f1a32
--- /dev/null
+++ b/tests/unit/agents/evals/test_baselines.py
@@ -0,0 +1,22 @@
+"""The committed baselines: the pinned model has one, and each is a full report on synthetic cases only.
+
+`agents/evals/baselines/claude-haiku-5-5.json` is the first spike-X run on the Claude
+arm (2026-10-10, written with `--save-baseline`). A model bump adds the new model's
+baseline in the same PR, or this test fails on the new default.
+"""
+
+from agents.anyplot.settings import AgentSettings
+from agents.evals.matrix import BASELINES_DIR, is_error, load_baseline
+
+
+def test_the_pinned_model_has_a_baseline() -> None:
+    committed = sorted(BASELINES_DIR.glob("*.json"))
+    assert committed, "no baseline is committed; the spike-X run of the pinned model writes it with --save-baseline"
+    pinned = AgentSettings.model_fields["model"].default
+    assert (BASELINES_DIR / f"{pinned}.json").is_file(), f"add baselines/{pinned}.json for the pinned model"
+    for path in committed:
+        baseline = load_baseline(path)
+        assert baseline["stamp"]["model"] == path.stem
+        assert not baseline.get("stopped"), f"{path.name} is a partial run"
+        assert {run["origin"] for run in baseline["runs"]} == {"fixtures"}, f"{path.name} holds promoted cases"
+        assert not any(is_error(run) for run in baseline["runs"]), f"{path.name} has runs that ended in an error"
diff --git a/tests/unit/agents/evals/test_cases.py b/tests/unit/agents/evals/test_cases.py
new file mode 100644
index 0000000000..da007308a5
--- /dev/null
+++ b/tests/unit/agents/evals/test_cases.py
@@ -0,0 +1,106 @@
+"""Eval case loading, validation and selection."""
+
+import json
+import shutil
+from pathlib import Path
+
+import pytest
+
+from agents.anyplot.dev_fixture import CASES_DIR
+from agents.evals.cases import CaseError, load_case, load_cases, select_cases
+
+
+def _write(directory: Path, case: dict, data: str = "a,b\n1,2\n") -> Path:
+    directory.mkdir(parents=True)
+    (directory / "case.json").write_text(json.dumps(case))
+    (directory / "data.csv").write_text(data)
+    return directory
+
+
+VALID = {
+    "spec_id": "scatter-basic",
+    "library": "matplotlib",
+    "bindings": [{"role": "x", "column": "a"}, {"role": "y", "column": "b"}],
+    "expected": "rejected",
+    "tags": ["custom"],
+}
+
+
+def test_every_committed_case_loads() -> None:
+    cases = load_cases(promoted_dir=Path("/nonexistent"))
+
+    assert len(cases) == 122  # 120 generated plus the two hand-written cases
+    assert [case.case_id for case in cases] == sorted(case.case_id for case in cases)
+    assert {case.origin for case in cases} == {"fixtures"}
+    hand_written = {case.case_id: case for case in cases if case.perturbation is None}
+    assert set(hand_written) == {"scatter-basic-matplotlib", "bar-grouped-seaborn"}
+    assert hand_written["bar-grouped-seaborn"].locale == "de"
+
+
+def test_selection_by_smoke_full_and_globs() -> None:
+    cases = load_cases(promoted_dir=Path("/nonexistent"))
+
+    smoke = select_cases(cases, "smoke")
+    assert len(smoke) == 12 and all("smoke" in case.tags for case in smoke)
+    assert select_cases(cases, "full") == cases
+    assert len(select_cases(cases, "*-seaborn-n5000")) == 10
+    picked = select_cases(cases, "pie-basic-*, scatter-basic-matplotlib")
+    assert len(picked) == 13 and picked[-1].case_id == "scatter-basic-matplotlib"
+    assert select_cases(cases, "nothing-*") == []
+
+
+def test_a_case_reads_its_fields_and_builds_its_snapshot(tmp_path: Path) -> None:
+    directory = _write(tmp_path / "my-case", VALID)
+    (directory / "change_request.txt").write_text("make the markers bigger\n")
+
+    case = load_case(directory, "promoted")
+
+    assert (case.case_id, case.spec_id, case.library, case.locale) == ("my-case", "scatter-basic", "matplotlib", "en")
+    assert case.expected == "rejected" and case.tags == ("custom",) and case.origin == "promoted"
+    assert [binding.column for binding in case.bindings or []] == ["a", "b"]
+    assert case.change_request == "make the markers bigger"
+    assert case.data_text == "a,b\n1,2\n"
+    snapshot = case.snapshot()
+    assert snapshot.spec_id == "scatter-basic" and "THEME" in snapshot.code
+
+
+@pytest.mark.parametrize(
+    ("change", "message"),
+    [
+        ({"library": "excel"}, "not a catalogue library"),
+        ({"expected": "maybe"}, "expected must be one of"),
+        ({"spec_id": "Bad Spec"}, "spec_id is missing or invalid"),
+        ({"tags": "smoke"}, "tags must be a list"),
+        ({"bindings": [{"role": "x"}]}, "invalid binding"),
+    ],
+)
+def test_invalid_fields_are_refused(tmp_path: Path, change: dict, message: str) -> None:
+    directory = _write(tmp_path / "bad-case", {**VALID, **change})
+
+    with pytest.raises(CaseError, match=message):
+        load_case(directory)
+
+
+def test_missing_files_and_bad_ids_are_refused(tmp_path: Path) -> None:
+    directory = tmp_path / "no-data"
+    directory.mkdir()
+    (directory / "case.json").write_text(json.dumps(VALID))
+    with pytest.raises(CaseError, match="case.json and data.csv"):
+        load_case(directory)
+    with pytest.raises(CaseError, match="not a case id"):
+        load_case(_write(tmp_path / "Upper_Case", VALID))
+
+
+def test_promoted_cases_join_and_may_not_shadow_a_fixture(tmp_path: Path) -> None:
+    fixtures, promoted = tmp_path / "fixtures", tmp_path / ".cases"
+    shutil.copytree(CASES_DIR / "scatter-basic-matplotlib", fixtures / "scatter-basic-matplotlib")
+    _write(promoted / "user-case-1", VALID)
+
+    cases = load_cases(fixtures, promoted)
+    assert [(case.case_id, case.origin) for case in cases] == [
+        ("scatter-basic-matplotlib", "fixtures"),
+        ("user-case-1", "promoted"),
+    ]
+    shutil.copytree(fixtures / "scatter-basic-matplotlib", promoted / "scatter-basic-matplotlib")
+    with pytest.raises(CaseError, match="exists in both"):
+        load_cases(fixtures, promoted)
diff --git a/tests/unit/agents/evals/test_eligibility.py b/tests/unit/agents/evals/test_eligibility.py
new file mode 100644
index 0000000000..fbef102e0b
--- /dev/null
+++ b/tests/unit/agents/evals/test_eligibility.py
@@ -0,0 +1,87 @@
+"""The catalogue eligibility sweep over a small catalogue: statuses, reason categories, rule ids, outputs."""
+
+import json
+import shutil
+from pathlib import Path
+
+from agents.evals.eligibility import main, markdown, reason_category, security_rule, sweep
+
+
+REPO_PLOTS = Path(__file__).resolve().parents[4] / "plots"
+NO_THEME = """import matplotlib.pyplot as plt
+
+fig, ax = plt.subplots(figsize=(8, 4.5), dpi=400)
+ax.plot([1, 2, 3], [4, 5, 6])
+plt.savefig("plot.png")
+"""
+
+
+def catalogue(root: Path) -> Path:
+    """Three pairs: an eligible original, a file without THEME and a single-theme target, and a banned import."""
+    plots = root / "plots"
+    for spec, library, text in (
+        (
+            "scatter-basic",
+            "matplotlib",
+            (REPO_PLOTS / "scatter-basic/implementations/python/matplotlib.py").read_text(),
+        ),
+        ("plain-line", "matplotlib", NO_THEME),
+        (
+            "scatter-basic",
+            "seaborn",
+            "import subprocess\n" + (REPO_PLOTS / "scatter-basic/implementations/python/seaborn.py").read_text(),
+        ),
+    ):
+        target = plots / spec / "implementations" / "python" / f"{library}.py"
+        target.parent.mkdir(parents=True, exist_ok=True)
+        target.write_text(text)
+    return plots
+
+
+def test_reason_parsing() -> None:
+    assert reason_category('no-theme: no module-level THEME = os.getenv("ANYPLOT_THEME", ...)') == "no-theme"
+    assert security_rule("security: banned-import at line 1: import of subprocess") == "banned-import"
+    assert security_rule("security: url-literal: a URL literal") == "url-literal"
+    assert security_rule("security: 3 more findings") is None
+    assert security_rule("savefig-target: no savefig call") is None
+
+
+def test_sweep_counts_statuses_categories_and_rules(tmp_path: Path) -> None:
+    result = sweep(catalogue(tmp_path))
+
+    matplotlib, seaborn = result["by_library"]["matplotlib"], result["by_library"]["seaborn"]
+    assert matplotlib["files"] == 2 and matplotlib["eligible"] == 1 and matplotlib["statuses"]["blocked"] == 1
+    assert {"no-theme", "savefig-target"} <= set(matplotlib["blocked_by_category"])
+    assert seaborn["statuses"]["blocked"] == 1 and seaborn["eligible_rate"] == 0.0
+    assert seaborn["security_rules"] == {"banned-import": 1}
+    assert {(item["spec_id"], item["library"]) for item in result["blocked"]} == {
+        ("plain-line", "matplotlib"),
+        ("scatter-basic", "seaborn"),
+    }
+    text = markdown(result, "2026-10-10")
+    assert "| matplotlib | 2 | 1 (50.0 %) |" in text and "| `banned-import` | 0 | 1 |" in text
+
+
+def test_main_writes_the_report(tmp_path: Path) -> None:
+    plots = catalogue(tmp_path)
+
+    assert main(["--plots", str(plots), "--out", str(tmp_path / "out")]) == 0
+
+    (report_path,) = (tmp_path / "out").glob("*-eligibility.json")
+    report = json.loads(report_path.read_text())
+    assert report["by_library"]["matplotlib"]["files"] == 2
+    assert report_path.with_suffix(".md").read_text().startswith("# Catalogue eligibility")
+    assert main(["--plots", str(tmp_path / "missing"), "--out", str(tmp_path / "out")]) == 2
+
+
+def test_the_real_catalogue_keeps_most_pairs_eligible(tmp_path: Path) -> None:
+    """A smoke check over a copy of five real specs: the sweep runs on catalogue files as they are."""
+    plots = tmp_path / "plots"
+    for spec in ("scatter-basic", "line-basic", "bar-grouped", "heatmap-basic", "pie-basic"):
+        shutil.copytree(REPO_PLOTS / spec / "implementations" / "python", plots / spec / "implementations" / "python")
+
+    result = sweep(plots)
+
+    for library in ("matplotlib", "seaborn"):
+        assert result["by_library"][library]["files"] == 5
+        assert result["by_library"][library]["eligible"] == 5
diff --git a/tests/unit/agents/evals/test_make_fixtures.py b/tests/unit/agents/evals/test_make_fixtures.py
new file mode 100644
index 0000000000..5d05e4aafc
--- /dev/null
+++ b/tests/unit/agents/evals/test_make_fixtures.py
@@ -0,0 +1,158 @@
+"""The spike-X fixture generator: determinism, the committed files, the schema, and that every case can run."""
+
+import csv
+import io
+import json
+from collections import Counter
+
+import pytest
+
+from agents.anyplot.data.bindings import check_bindings
+from agents.anyplot.data.parse import parse_dataset
+from agents.anyplot.data.roles import parse_roles
+from agents.anyplot.dev_fixture import CASES_DIR, snapshot_from_repo
+from agents.anyplot.opening import assess
+from agents.anyplot.schemas import Binding
+from agents.anyplot.settings import AgentSettings
+from agents.evals import make_fixtures
+from agents.evals.make_fixtures import LIBRARIES, PERTURBATIONS, SMOKE_TAG, SPECS, case_id, render_cases
+
+
+CASE_KEYS = {"spec_id", "library", "locale", "perturbation", "bindings", "expected", "tags", "source"}
+FAMILIES = {"scatter", "line", "bar", "histogram", "box", "heatmap", "area", "violin", "pie", "time-series"}
+
+
+@pytest.fixture(scope="module")
+def files() -> dict[str, str]:
+    return render_cases()
+
+
+def _rows(text: str, delimiter: str = ",") -> list[list[str]]:
+    return list(csv.reader(io.StringIO(text), delimiter=delimiter))
+
+
+def test_two_runs_write_identical_files(files: dict[str, str]) -> None:
+    assert render_cases() == files
+
+
+def test_the_committed_cases_are_what_the_generator_writes() -> None:
+    """Rerun `uv run --extra agents python -m agents.evals.make_fixtures` after changing it or upgrading NumPy."""
+    assert make_fixtures.stale_files() == []
+
+
+def test_check_mode_reports_a_stale_file(tmp_path, capsys: pytest.CaptureFixture[str]) -> None:
+    make_fixtures.write_cases(tmp_path)
+    assert make_fixtures.main(["--check", "--out", str(tmp_path)]) == 0
+    (tmp_path / "pie-basic-seaborn-n12" / "data.csv").write_text("Expense Category,Amount (CHF)\n")
+
+    assert make_fixtures.main(["--check", "--out", str(tmp_path)]) == 1
+    assert "stale: pie-basic-seaborn-n12/data.csv" in capsys.readouterr().err
+
+
+def test_ten_specs_of_ten_families_times_two_libraries_times_six_perturbations(files: dict[str, str]) -> None:
+    assert len(SPECS) == 10 and {spec.family for spec in SPECS} == FAMILIES
+    ids = {name.split("/")[0] for name in files}
+    assert len(ids) == 120
+    assert ids == {
+        case_id(spec.spec_id, library, perturbation)
+        for spec in SPECS
+        for library in LIBRARIES
+        for perturbation in PERTURBATIONS
+    }
+
+
+def test_case_json_schema(files: dict[str, str]) -> None:
+    for name, text in files.items():
+        if not name.endswith("case.json"):
+            continue
+        case = json.loads(text)
+        assert set(case) == CASE_KEYS, name
+        assert case["expected"] == "accepted"
+        assert case["perturbation"] in PERTURBATIONS
+        assert case["library"] in LIBRARIES
+        assert case["bindings"] and all(set(item) == {"role", "column"} for item in case["bindings"])
+        assert case["perturbation"] in case["tags"] and "synthetic" in case["tags"]
+        assert case["source"].startswith("synthetic: agents/evals/make_fixtures.py")
+        assert name.split("/")[0] == case_id(case["spec_id"], case["library"], case["perturbation"])
+
+
+def test_smoke_covers_every_perturbation_and_both_libraries(files: dict[str, str]) -> None:
+    smoke = [json.loads(text) for name, text in files.items() if name.endswith("case.json")]
+    smoke = [case for case in smoke if SMOKE_TAG in case["tags"]]
+
+    assert len(smoke) == len(SPECS)
+    assert {case["spec_id"] for case in smoke} == {spec.spec_id for spec in SPECS}
+    assert {case["perturbation"] for case in smoke} == set(PERTURBATIONS)
+    assert {case["library"] for case in smoke} == set(LIBRARIES)
+
+
+@pytest.mark.parametrize("spec", SPECS, ids=lambda spec: spec.spec_id)
+def test_every_case_parses_binds_and_is_eligible(spec: make_fixtures.SpecFixture, files: dict[str, str]) -> None:
+    """The cases test the adaptation, never the parser: no warning, complete bindings, an eligible pair."""
+    settings = AgentSettings()
+    for library in LIBRARIES:
+        snapshot = snapshot_from_repo(spec.spec_id, library)
+        eligibility, _ = assess(snapshot, library, settings)
+        assert eligibility.status in ("clean", "coupled"), (library, eligibility.reasons)
+        roles = parse_roles(snapshot.data_roles)
+        for perturbation in PERTURBATIONS:
+            directory = case_id(spec.spec_id, library, perturbation)
+            case = json.loads(files[f"{directory}/case.json"])
+            parsed = parse_dataset(files[f"{directory}/data.csv"])
+            assert parsed.warnings == [], directory
+            check = check_bindings([Binding(**item) for item in case["bindings"]], roles, parsed.profile)
+            assert check.complete and not check.errors, (directory, check.errors)
+
+
+@pytest.mark.parametrize("spec", SPECS, ids=lambda spec: spec.spec_id)
+def test_perturbations_change_what_they_name(spec: make_fixtures.SpecFixture, files: dict[str, str]) -> None:
+    def data(perturbation: str, delimiter: str = ",") -> list[list[str]]:
+        return _rows(files[f"{case_id(spec.spec_id, 'matplotlib', perturbation)}/data.csv"], delimiter)
+
+    renamed, scaled = data("renamed"), data("x10")
+    assert renamed[0] != scaled[0] and len(renamed) == len(scaled) == spec.base_rows + 1
+    columns = spec.make(make_fixtures._rng(spec, 0), spec.base_rows)
+    measures = [(index, column.decimals) for index, column in enumerate(columns) if column.measure]
+    assert measures
+    for index, decimals in measures:
+        rounding = 6 * 10**-decimals  # both sides are rounded to the column's decimals
+        for before, after in zip(renamed[1:], scaled[1:], strict=True):
+            assert float(after[index]) == pytest.approx(float(before[index]) * 10, abs=rounding)
+    assert len(data("n12")) == 13 and len(data("n5000")) == 5001
+
+    dated = data("date")
+    header = dated[0]
+    dmy, iso = header.index(spec.date_names[0]), header.index(spec.date_names[1])
+    assert all(row[dmy][2] == "." and row[dmy][5] == "." for row in dated[1:])
+    assert all(row[iso][4] == "-" for row in dated[1:])
+
+    semicolon = data("decimal-comma", ";")
+    assert semicolon[0] == scaled[0]  # the base headers
+    assert all(len(row) == len(semicolon[0]) for row in semicolon)
+    assert any("," in cell for row in semicolon[1:] for cell in row)
+    assert parse_dataset(files[f"{case_id(spec.spec_id, 'seaborn', 'decimal-comma')}/data.csv"]).profile.decimal == ","
+
+
+def test_n5000_needs_aggregation_where_the_spec_draws_one_mark_per_group(files: dict[str, str]) -> None:
+    for spec in SPECS:
+        directory = case_id(spec.spec_id, "seaborn", "n5000")
+        rows = _rows(files[f"{directory}/data.csv"])[1:]
+        columns = spec.make(make_fixtures._rng(spec, 0), spec.base_rows)
+        groups = [index for index, column in enumerate(columns) if column.role and not column.measure]
+        repeats = Counter(tuple(row[index] for index in groups) for row in rows)
+        base = Counter(tuple(row[index] for index in groups) for row in _rows(to_text(spec, files))[1:])
+        if spec.aggregates:
+            assert max(repeats.values()) > 1 and max(base.values()) == 1, spec.spec_id
+        tags = json.loads(files[f"{directory}/case.json"])["tags"]
+        assert ("aggregation" in tags) == spec.aggregates
+
+
+def to_text(spec: make_fixtures.SpecFixture, files: dict[str, str]) -> str:
+    """The base data (the `x10` case keeps the base headers and rows)."""
+    return files[f"{case_id(spec.spec_id, 'seaborn', 'x10')}/data.csv"]
+
+
+def test_the_hand_written_cases_stay() -> None:
+    for name in ("scatter-basic-matplotlib", "bar-grouped-seaborn"):
+        case = json.loads((CASES_DIR / name / "case.json").read_text())
+        assert SMOKE_TAG in case["tags"] and case["expected"] == "accepted"
diff --git a/tests/unit/agents/evals/test_matrix.py b/tests/unit/agents/evals/test_matrix.py
new file mode 100644
index 0000000000..116ed2d177
--- /dev/null
+++ b/tests/unit/agents/evals/test_matrix.py
@@ -0,0 +1,623 @@
+"""The matrix harness over the two hand-written fixtures, with scripted models and the fake renderer.
+
+The models are the real `VertexClaude` over a fake Anthropic client (every call
+reports 100 input and 20 output tokens), so the token booking and the cost come from
+the same attribution lines a real run writes. Nothing here calls a model or a renderer.
+"""
+
+import asyncio
+import base64
+import json
+import os
+import subprocess
+from pathlib import Path
+from types import SimpleNamespace
+from typing import Any
+from unittest.mock import patch
+
+import httpx
+import pytest
+
+from agents.anyplot.render.backends.fake import FakeBackend, FakeOutcome
+from agents.anyplot.render.contract import RendererUnavailable, RenderJob, RenderResult
+from agents.anyplot.run_queue import RunQueue
+from agents.anyplot.services import Services
+from agents.evals import matrix
+from agents.evals.cases import EvalCase, load_cases, select_cases
+from agents.evals.matrix import (
+    EXIT_OK,
+    EXIT_OUTAGE,
+    EXIT_REGRESSION,
+    EXIT_SETUP,
+    EXIT_STOPPED,
+    MatrixConfig,
+    RenderToken,
+    configure,
+    parse_args,
+    parse_events,
+    run_matrix,
+)
+from agents.evals.report import Flip
+from agents.main import Runtime
+
+from ..runtime.fakes import ROOT_REPLY, SCATTER_PLAN, VERDICT_OK
+from .conftest import check_html
+
+
+CALL_COST = (100 * 0.10 + 20 * 0.50) / 1e6 * 1.10  # one scripted call on claude-haiku-5-5 at eu list price
+BAD_PLAN: dict[str, Any] = {
+    "edits": [{"find": "this text is not in the code", "replace": "df = load_user_data()"}],
+    "title": "Revenue by Quarter",
+    "changes": ["Plotted your data"],
+}
+EMPTY_PLAN: dict[str, Any] = {"edits": [], "changes": []}
+
+
+def two_fixtures() -> list:
+    cases = select_cases(load_cases(promoted_dir=Path("/nonexistent")), "bar-grouped-seaborn,scatter-basic-matplotlib")
+    assert [case.case_id for case in cases] == ["bar-grouped-seaborn", "scatter-basic-matplotlib"]
+    return cases
+
+
+def runtime() -> Runtime:
+    """One run at a time, without the one-start-a-minute window between the cases."""
+    return Runtime(queue=RunQueue(concurrency=1, per_minute=1_000, max_wait_s=600))
+
+
+def script() -> dict[str, list[Any]]:
+    """bar-grouped: two plans whose edit matches nothing; scatter-basic: the working plan and a passing review."""
+    return {
+        "root": [
+            {"call": "plot_pipeline", "args": {}},
+            {"text": "The plot could not be made."},
+            {"call": "plot_pipeline", "args": {}},
+            {"text": ROOT_REPLY},
+        ],
+        "adapter": [{"json": BAD_PLAN}, {"json": BAD_PLAN}, {"json": SCATTER_PLAN}],
+        "reviewer": [{"json": VERDICT_OK}],
+    }
+
+
+def config(tmp_path: Path, **fields: Any) -> MatrixConfig:
+    fields.setdefault("cases", "bar-grouped-seaborn,scatter-basic-matplotlib")
+    return MatrixConfig(out=tmp_path, **fields)
+
+
+async def test_two_fixtures_through_the_real_flow(
+    tmp_path: Path, services: Services, swap_models, backend: FakeBackend
+) -> None:
+    swap_models("anthropic-vertex", script())
+
+    result = await run_matrix(
+        two_fixtures(), config(tmp_path), services=services, runtime=runtime(), echo=lambda _: None
+    )
+
+    assert result.exit_code == EXIT_OK and result.diff is None
+    bar, scatter = result.report["runs"]
+
+    assert (scatter["status"], scatter["attempts"], scatter["passed"], scatter["accept_match"]) == ("ok", 1, True, True)
+    assert scatter["llm_calls"] == 4
+    assert scatter["llm_calls_by_agent"] == {"adapter_matplotlib": 1, "anyplot": 2, "reviewer": 1}
+    assert scatter["tokens"]["prompt"] == 400 and scatter["tokens"]["candidates"] == 80
+    assert scatter["cost_usd"] == pytest.approx(4 * CALL_COST)
+    assert scatter["model_versions"] == ["claude-haiku-5-5"]
+    assert scatter["reviewer"] == {"verdict": "ok", "defects": []}
+    assert scatter["gate_failures"] == {} and scatter["adapter_outcomes"] == {"plan": 1}
+    assert len(scatter["render_s"]) == 1 and scatter["render_wall_s"] == [0.0]
+    assert 0 < scatter["ttfe_s"] <= scatter["e2e_s"]
+    assert scatter["png"] == "renders/scatter-basic-matplotlib-r1.png"
+    assert (tmp_path / scatter["png"]).read_bytes().startswith(b"\x89PNG")
+
+    assert (bar["status"], bar["reason"], bar["attempts"]) == ("failed", "validation", 2)
+    assert bar["passed"] is False and bar["accept_match"] is False  # it expects accepted, the run rejected
+    assert bar["edit_apply_failures"] >= 2 and bar["adapter_outcomes"] == {"plan": 2}
+    assert bar["llm_calls"] == 4 and bar["cost_usd"] == pytest.approx(4 * CALL_COST)
+    assert bar["png"] is None and bar["render_s"] == []
+
+    summary = result.report["summary"]
+    assert (summary["pass_rate"], summary["accept_match_rate"]) == (0.5, 0.5)
+    assert summary["cost_total_usd"] == pytest.approx(8 * CALL_COST)
+    assert summary["cost_per_success_usd"] == pytest.approx(8 * CALL_COST)
+    # The preflight renders each library's catalogue file once; then bar-grouped never reached the renderer.
+    assert [job.library for job in backend.jobs] == ["seaborn", "matplotlib", "matplotlib"]
+    assert [(job.themes, job.data_csv) for job in backend.jobs[:2]] == [(("light",), matrix.PREFLIGHT_DATA)] * 2
+    assert "THEME" in backend.jobs[0].source and "load_user_data" not in backend.jobs[0].source
+
+    stamp = result.report["stamp"]
+    assert (stamp["provider"], stamp["model"], stamp["location"], stamp["case_count"]) == (
+        "anthropic-vertex",
+        "claude-haiku-5-5",
+        "eu",
+        2,
+    )
+    assert result.report_path.name == f"{stamp['date']}-claude-haiku-5-5.json"
+    assert json.loads(result.report_path.read_text())["runs"][1]["case_id"] == "scatter-basic-matplotlib"
+    assert "## Runs that did not pass" in result.summary_path.read_text()
+
+
+async def test_outputs_include_both_gallery_pages(tmp_path: Path, services: Services, swap_models) -> None:
+    swap_models("anthropic-vertex", script())
+
+    result = await run_matrix(
+        two_fixtures(), config(tmp_path), services=services, runtime=runtime(), echo=lambda _: None
+    )
+
+    gallery = result.gallery_path.read_text()
+    checker = check_html(gallery)
+    assert checker.doctype and checker.errors == [] and checker.stack == []
+    assert gallery.count('class="card"') == 1  # only scatter-basic shipped a render
+    assert "claude" not in gallery.lower()
+    every = (tmp_path / "gallery-all.html").read_text()
+    assert check_html(every).errors == [] and "bar-grouped-seaborn" in every
+
+
+async def test_gate_failures_and_a_padded_canvas_do_not_pass(
+    tmp_path: Path, services: Services, swap_models, backend: FakeBackend
+) -> None:
+    backend.script = lambda job, theme: FakeOutcome(size=(3100, 1800))
+    swap_models(
+        "anthropic-vertex",
+        {
+            "root": [{"call": "plot_pipeline", "args": {}}, {"text": ROOT_REPLY}],
+            "adapter": [{"json": SCATTER_PLAN}, {"json": EMPTY_PLAN}],
+            "reviewer": [],
+        },
+    )
+    cases = select_cases(load_cases(promoted_dir=Path("/nonexistent")), "scatter-basic-matplotlib")
+
+    result = await run_matrix(
+        cases, config(tmp_path, cases="scatter-basic-matplotlib"), services=services, runtime=runtime(), echo=print
+    )
+
+    (record,) = result.report["runs"]
+    assert (record["status"], record["attempts"]) == ("needs_attention", 2)
+    assert record["padded"] is True and record["passed"] is False
+    assert record["gate_failures"] == {"R3": 2}
+    assert record["reviewer"]["verdict"] is None  # a padded canvas is never reviewed
+    assert record["residual_defects"][0] == "canvas padded after render (light)"
+
+
+async def test_a_regression_against_the_baseline_exits_non_zero(
+    tmp_path: Path, services: Services, swap_models
+) -> None:
+    swap_models("anthropic-vertex", script())
+    first = await run_matrix(
+        two_fixtures(), config(tmp_path / "a"), services=services, runtime=runtime(), echo=lambda _: None
+    )
+    baseline = json.loads(first.report_path.read_text())
+    baseline["runs"][0]["passed"] = True  # pretend bar-grouped passed in the baseline
+    baseline["summary"]["pass_rate"] = 1.0
+
+    swap_models("anthropic-vertex", script())
+    second = await run_matrix(
+        two_fixtures(),
+        config(tmp_path / "b", baseline=baseline, baseline_path=Path("baseline.json")),
+        services=Services(backend_factory=FakeBackend, judge_factory=services.judge_factory),
+        runtime=runtime(),
+        echo=lambda _: None,
+    )
+
+    assert second.exit_code == EXIT_REGRESSION
+    assert second.diff is not None and second.diff.flipped == [Flip("bar-grouped-seaborn", 1, 1, 0, 1)]
+    assert "Against the baseline" in second.summary_path.read_text()
+
+    swap_models("anthropic-vertex", script())
+    same = await run_matrix(
+        two_fixtures(),
+        config(tmp_path / "c", baseline=json.loads(first.report_path.read_text())),
+        services=Services(backend_factory=FakeBackend, judge_factory=services.judge_factory),
+        runtime=runtime(),
+        echo=lambda _: None,
+    )
+    assert same.exit_code == EXIT_OK and same.diff is not None and same.diff.flipped == []
+
+
+async def test_the_budget_stops_the_matrix(tmp_path: Path, services: Services, swap_models) -> None:
+    swap_models("anthropic-vertex", script())
+
+    result = await run_matrix(
+        two_fixtures(),
+        config(tmp_path, budget_usd=CALL_COST),  # the first case alone costs four calls
+        services=services,
+        runtime=runtime(),
+        echo=lambda _: None,
+    )
+
+    assert result.exit_code == EXIT_STOPPED
+    assert result.report["stopped"] == "budget" and len(result.report["runs"]) == 1
+    assert "Stopped early" in result.summary_path.read_text()
+
+
+async def test_save_baseline_writes_the_model_file(tmp_path: Path, services: Services, swap_models) -> None:
+    swap_models("anthropic-vertex", script())
+
+    result = await run_matrix(
+        two_fixtures(),
+        config(tmp_path, save_baseline=True, baselines_dir=tmp_path / "baselines"),
+        services=services,
+        runtime=runtime(),
+        echo=lambda _: None,
+    )
+
+    assert result.baseline_written == tmp_path / "baselines" / "claude-haiku-5-5.json"
+    assert matrix.load_baseline(result.baseline_written)["summary"]["passed"] == 1
+
+
+def test_parse_events_times_each_event_by_its_chunk() -> None:
+    chunks = [
+        (10.0, b'event: ready\ndata: {"v":"anyplot/1"}\n\n'),
+        (10.5, b'event: status\ndata: {"step":"queued","position":1,"waiting":1}\n\n'),
+        (11.0, b'event: status\ndata: {"step":"adapting","attempt":1}\n\nevent: do'),
+        (12.0, 'ne\ndata: {"llm_calls":4,"tokens":10,"note":"é"}\n\n'.encode()),
+    ]
+
+    events = parse_events(chunks, started=9.0)
+
+    assert [(at, name) for at, name, _ in events] == [(1.0, "ready"), (1.5, "status"), (2.0, "status"), (3.0, "done")]
+    assert events[-1][2]["note"] == "é"
+
+
+def test_configure_picks_the_provider_defaults_and_keeps_the_rest() -> None:
+    environ: dict[str, str] = {"AGENT_RENDERER": "fake", "AGENT_DEV_FIXTURE": "scatter-basic-matplotlib"}
+    configure(parse_args(["--provider", "gemini"]), environ)
+
+    assert (environ["AGENT_PROVIDER"], environ["AGENT_MODEL"], environ["AGENT_JUDGE_MODEL"]) == (
+        "gemini",
+        "gemini-3.8-flash",
+        "gemini-3.5-flash-lite",
+    )
+    assert environ["AGENT_RENDERER"] == "fake"  # the environment's renderer stays when no flag names one
+    assert environ["ENVIRONMENT"] == "development" and environ["PYTHON_DOTENV_DISABLED"] == "1"
+    assert "AGENT_DEV_FIXTURE" not in environ
+    assert environ["AGENT_RUNS_PER_MINUTE"] == "60"
+
+    claude: dict[str, str] = {"ENVIRONMENT": "test"}
+    configure(parse_args(["--model", "claude-haiku-5-5", "--renderer", "remote", "--render-url", "https://r"]), claude)
+    assert (claude["AGENT_PROVIDER"], claude["AGENT_JUDGE_MODEL"]) == ("anthropic-vertex", "claude-haiku-5-5")
+    # A developer's renderer token is accepted only in development, whatever the shell exported.
+    assert (claude["AGENT_RENDERER"], claude["AGENT_RENDER_URL"], claude["ENVIRONMENT"]) == (
+        "remote",
+        "https://r",
+        "development",
+    )
+
+    fake: dict[str, str] = {"ENVIRONMENT": "test"}
+    configure(parse_args(["--renderer", "fake"]), fake)
+    assert fake["ENVIRONMENT"] == "test"  # the fake renderer runs in test as well
+
+    on_cloud_run: dict[str, str] = {"ENVIRONMENT": "production", "K_SERVICE": "anyplot-agents"}
+    configure(parse_args(["--renderer", "remote"]), on_cloud_run)
+    assert on_cloud_run["ENVIRONMENT"] == "production"
+
+
+def test_configure_refuses_contradictions() -> None:
+    with pytest.raises(matrix.SetupError, match="needs --renderer remote"):
+        configure(parse_args(["--renderer", "fake", "--render-url", "https://r"]), {})
+    with pytest.raises(matrix.SetupError, match="--gcloud-token needs --renderer remote"):
+        configure(parse_args(["--renderer", "fake", "--gcloud-token"]), {})
+    with pytest.raises(matrix.SetupError, match="cannot tell the provider"):
+        configure(parse_args(["--model", "llama-9"]), {})
+    with pytest.raises(SystemExit):
+        parse_args(["--repeats", "0"])
+
+
+def test_main_exits_2_when_no_case_matches(tmp_path: Path) -> None:
+    with patch.dict(os.environ):
+        code = matrix.main(["--cases", "no-such-case-*", "--renderer", "fake", "--out", str(tmp_path)])
+
+    assert code == EXIT_SETUP
+    assert not any(tmp_path.iterdir())  # nothing ran, nothing was written
+
+
+def test_interrupt_writes_the_partial_report(tmp_path: Path, services: Services, swap_models) -> None:
+    swap_models("anthropic-vertex", script())
+
+    async def interrupted() -> None:
+        task = asyncio.ensure_future(
+            run_matrix(two_fixtures(), config(tmp_path), services=services, runtime=runtime(), echo=lambda _: None)
+        )
+        await asyncio.sleep(0)
+        task.cancel()
+        with pytest.raises(asyncio.CancelledError):
+            await task
+
+    asyncio.run(interrupted())
+
+    (report_path,) = tmp_path.glob("*.json")
+    assert json.loads(report_path.read_text())["stopped"] == "interrupted"
+
+
+# --- Preflight, outages, harness errors, the budget and the renderer token ---------------------
+
+
+class DownBackend:
+    """A renderer that refuses every job, as the remote backend does with an expired token."""
+
+    name = "remote"
+
+    def __init__(self) -> None:
+        self.jobs: list[RenderJob] = []
+
+    async def render(self, job: RenderJob) -> RenderResult:
+        self.jobs.append(job)
+        raise RendererUnavailable("the renderer refused this caller (HTTP 401)")
+
+
+def jwt(expiry: float) -> str:
+    """An unsigned token shape with an `exp` claim, as `gcloud auth print-identity-token` prints one."""
+    payload = base64.urlsafe_b64encode(json.dumps({"exp": expiry}).encode()).decode().rstrip("=")
+    return f"e30.{payload}.c2ln"
+
+
+def scripted_records(outcome: dict[str, dict[str, Any]]) -> Any:
+    """A `CaseRunner.run` replacement: each case's record takes the fields `outcome` gives its case id."""
+
+    async def run(self: matrix.CaseRunner, case: EvalCase, repeat: int) -> dict[str, Any]:
+        record = matrix.base_record(case, repeat)
+        record.update(outcome[case.case_id])
+        matrix.finish_record(record)
+        return record
+
+    return run
+
+
+async def test_a_preflight_that_cannot_render_stops_before_the_first_case(
+    tmp_path: Path, services: Services, swap_models, backend: FakeBackend
+) -> None:
+    backend.script = lambda job, theme: FakeOutcome(
+        exit_code=1, stderr_tail="Traceback (most recent call last):\nModuleNotFoundError: No module named 'seaborn'"
+    )
+    swap_models("anthropic-vertex", script())
+
+    with pytest.raises(matrix.SetupError, match=r"preflight render of bar-grouped \(seaborn\) failed: exit code 1"):
+        await run_matrix(two_fixtures(), config(tmp_path), services=services, runtime=runtime(), echo=lambda _: None)
+
+    assert len(backend.jobs) == 1 and not any(tmp_path.iterdir())  # no case ran, nothing was written
+
+    down = DownBackend()
+    with pytest.raises(matrix.SetupError, match="HTTP 401"):
+        await run_matrix(
+            two_fixtures(),
+            config(tmp_path),
+            services=Services(backend_factory=lambda: down, judge_factory=services.judge_factory),
+            runtime=runtime(),
+            echo=lambda _: None,
+        )
+
+
+async def test_a_renderer_outage_stops_the_run_and_saves_no_baseline(
+    tmp_path: Path, services: Services, swap_models
+) -> None:
+    swap_models("anthropic-vertex", script())
+    lines: list[str] = []
+
+    result = await run_matrix(
+        two_fixtures(),
+        config(tmp_path, preflight=False, save_baseline=True, baselines_dir=tmp_path / "baselines"),
+        services=Services(backend_factory=DownBackend, judge_factory=services.judge_factory),
+        runtime=runtime(),
+        echo=lines.append,
+    )
+
+    assert result.exit_code == EXIT_OUTAGE and result.report["stopped"] == "outage"
+    scatter = result.report["runs"][1]
+    assert (scatter["status"], scatter["reason"], scatter["pipeline_error"]) == (
+        "failed",
+        "error",
+        "RendererUnavailable",
+    )
+    assert scatter["render_s"] == [] and scatter["gate_failures"] == {}
+    assert any("renderer became unavailable during scatter-basic-matplotlib" in line for line in lines)
+    assert result.baseline_written is None and not (tmp_path / "baselines").exists()
+    assert "(RendererUnavailable)" in result.summary_path.read_text()
+
+
+async def test_three_errors_in_a_row_stop_the_run(
+    tmp_path: Path, services: Services, monkeypatch: pytest.MonkeyPatch
+) -> None:
+    failed = {"status": "failed", "reason": "error", "attempts": 1, "pipeline_error": "InternalServerError"}
+    monkeypatch.setattr(
+        matrix.CaseRunner, "run", scripted_records({"bar-grouped-seaborn": failed, "scatter-basic-matplotlib": failed})
+    )
+
+    result = await run_matrix(
+        two_fixtures(), config(tmp_path, repeats=2), services=services, runtime=runtime(), echo=lambda _: None
+    )
+
+    assert result.exit_code == EXIT_OUTAGE and len(result.report["runs"]) == matrix.MAX_ERRORS_IN_A_ROW
+
+
+async def test_harness_errors_count_as_failures_and_exit_1(
+    tmp_path: Path, services: Services, monkeypatch: pytest.MonkeyPatch
+) -> None:
+    monkeypatch.setattr(
+        matrix.CaseRunner,
+        "run",
+        scripted_records(
+            {
+                "bar-grouped-seaborn": {"error": "KeyError"},  # the base record's status is harness_error
+                "scatter-basic-matplotlib": {"status": "ok", "attempts": 1},
+            }
+        ),
+    )
+
+    result = await run_matrix(
+        two_fixtures(),
+        config(tmp_path, save_baseline=True, baselines_dir=tmp_path / "baselines"),
+        services=services,
+        runtime=runtime(),
+        echo=lambda _: None,
+    )
+
+    summary = result.report["summary"]
+    assert (summary["harness_errors"], summary["passed"], summary["pass_rate"]) == (1, 1, 0.5)
+    assert result.exit_code == EXIT_REGRESSION
+    assert any("crashed in the harness" in note for note in result.notes)
+    assert result.baseline_written is None and any("ended in an error" in note for note in result.notes)
+
+
+async def test_the_budget_stops_before_a_case_that_could_pass_it(
+    tmp_path: Path, services: Services, swap_models
+) -> None:
+    swap_models("anthropic-vertex", script())
+    lines: list[str] = []
+
+    result = await run_matrix(
+        two_fixtures(),
+        config(tmp_path, budget_usd=6 * CALL_COST),  # the first case costs 4 calls; another like it would pass 6
+        services=services,
+        runtime=runtime(),
+        echo=lines.append,
+    )
+
+    assert result.exit_code == EXIT_STOPPED and len(result.report["runs"]) == 1
+    assert any("costliest case so far" in line for line in lines)
+
+
+async def test_the_render_token_is_renewed_before_it_expires(services: Services) -> None:
+    built: list[FakeBackend] = []
+
+    def factory() -> FakeBackend:
+        built.append(FakeBackend())
+        return built[-1]
+
+    environ = {"AGENT_RENDER_TOKEN": jwt(1_300)}
+    minted: list[str] = []
+
+    def mint() -> str:
+        minted.append(jwt(4_600))
+        return minted[-1]
+
+    current = Services(backend_factory=factory, judge_factory=services.judge_factory)
+    serial = current.backend
+    token = RenderToken(environ, mint=mint, clock=lambda: 1_000.0)
+
+    assert token.due()  # 300 s left, inside the 600 s margin
+    assert await token.renew(current) is True
+    assert current.backend is serial and serial.backend is built[1]  # same semaphore, a backend with the new token
+    assert environ["AGENT_RENDER_TOKEN"] == minted[0] and matrix.token_expiry(minted[0]) == 4_600
+    assert await token.renew(current) is False and len(minted) == 1
+
+
+def test_token_helpers_never_print_the_token(monkeypatch: pytest.MonkeyPatch) -> None:
+    assert matrix.token_expiry("not-a-jwt") is None and matrix.token_expiry("a.%%%.c") is None
+    note = matrix.token_note({"AGENT_RENDER_TOKEN": jwt(1_000 + 1_800)}, clock=lambda: 1_000.0)
+    assert note is not None and "expires in 30 min" in note and "e30." not in note
+    assert matrix.token_note({}) is None
+
+    def failing(*args: Any, **kwargs: Any) -> subprocess.CompletedProcess[str]:
+        return subprocess.CompletedProcess(args[0], 1, stdout="", stderr="ERROR: not logged in")
+
+    monkeypatch.setattr(matrix.subprocess, "run", failing)
+    with pytest.raises(matrix.SetupError, match="exit 1"):
+        matrix.gcloud_token()
+
+
+def test_a_baseline_is_refused_for_runs_that_ended_in_an_error(tmp_path: Path) -> None:
+    good = {"case_id": "a-matplotlib-x", "origin": "fixtures", "status": "ok", "reason": None}
+    report = {"stamp": {"model": "claude-haiku-5-5"}, "stopped": None, "runs": [good]}
+
+    path, note = matrix.write_baseline(report, tmp_path)
+    assert path == tmp_path / "claude-haiku-5-5.json" and note is None
+
+    report["runs"] = [good, {**good, "case_id": "b-seaborn-x", "status": "failed", "reason": "error"}]
+    path, note = matrix.write_baseline(report, tmp_path / "other")
+    assert path is None and note is not None and "b-seaborn-x" in note
+
+
+def test_is_error_counts_the_services_errors_and_an_error_event_with_a_plot() -> None:
+    """An outage or a bug, never the model's quality: these runs stop the matrix and keep a baseline from being written."""
+    for run in (
+        {"status": "error", "reason": "capacity"},  # the turn was refused
+        {"status": "error", "reason": "no_result"},
+        {"status": "error", "reason": "no_png"},  # a shipped plot without its PNG
+        {"status": "harness_error", "error": "KeyError"},
+        {"status": "failed", "reason": "error"},  # the pipeline's own error
+        {"status": "ok", "error": "deadline"},  # an error event came with the plot
+    ):
+        assert matrix.is_error(run), run
+    for run in (
+        {"status": "ok", "reason": None, "error": None, "pipeline_error": None},
+        {"status": "failed", "reason": "validation"},
+        {"status": "dataset_refused", "reason": "data_refused"},
+        {"status": "bindings_invalid", "reason": "invalid"},
+        {"status": "not_eligible", "reason": "not_eligible"},
+    ):
+        assert not matrix.is_error(run), run
+
+
+def runner_over(handler: Any, tmp_path: Path) -> matrix.CaseRunner:
+    """A case runner whose requests `handler` answers; the attribution is not booked."""
+    client = httpx.AsyncClient(transport=httpx.MockTransport(handler), base_url="http://evals")
+    return matrix.CaseRunner(
+        client=client,
+        timed=SimpleNamespace(chunks=[]),  # type: ignore[arg-type]
+        collector=SimpleNamespace(take=lambda _: []),  # type: ignore[arg-type]
+        settings=None,  # type: ignore[arg-type]
+        renders_dir=tmp_path / "renders",
+    )
+
+
+async def test_a_judge_outage_on_the_dataset_route_is_an_error_not_a_refusal(
+    tmp_path: Path, monkeypatch: pytest.MonkeyPatch
+) -> None:
+    """`503 guard_unavailable` is the service's failure: it counts towards the outage stop, unlike a refusal of the data."""
+    monkeypatch.setattr(matrix, "book_attribution", lambda *_: None)
+    case = two_fixtures()[0]
+    outcomes = []
+    answers = iter([(503, "guard_unavailable"), (403, "data_refused"), (422, "unparseable"), (413, "too_long")])
+
+    def handler(_: httpx.Request) -> httpx.Response:
+        status, detail = next(answers)
+        return httpx.Response(status, json={"detail": detail})
+
+    runner = runner_over(handler, tmp_path)
+    for _ in range(4):
+        record = matrix.base_record(case, 1)
+        went_on = await runner._dataset(record, case, "sid", {"X-Anyplot-User": "u", "X-Request-Id": "r-d"})
+        outcomes.append((went_on, record["status"], record["reason"], matrix.is_error(record)))
+
+    assert outcomes == [
+        (False, "error", "guard_unavailable", True),
+        (False, "dataset_refused", "data_refused", False),
+        (False, "dataset_refused", "unparseable", False),
+        (False, "dataset_refused", "too_long", False),
+    ]
+
+
+async def test_a_service_failure_on_the_bindings_route_is_an_error(tmp_path: Path) -> None:
+    answers = iter([(503, "capacity"), (422, "invalid")])
+
+    def handler(_: httpx.Request) -> httpx.Response:
+        status, detail = next(answers)
+        return httpx.Response(status, json={"detail": detail})
+
+    runner = runner_over(handler, tmp_path)
+    case = next(case for case in two_fixtures() if case.bindings)
+    outcomes = []
+    for _ in range(2):
+        record = matrix.base_record(case, 1)
+        went_on = await runner._bindings(record, case, "sid", {"X-Anyplot-User": "u", "X-Request-Id": "r-b"})
+        outcomes.append((went_on, record["status"], matrix.is_error(record)))
+
+    assert outcomes == [(False, "error", True), (False, "bindings_invalid", False)]
+
+
+async def test_a_shipped_plot_without_its_png_is_an_error_not_a_pass(tmp_path: Path) -> None:
+    """The galleries cannot show such a run and a baseline must not count it."""
+    runner = runner_over(lambda _: httpx.Response(404, json={"detail": "not_found"}), tmp_path)
+    case = two_fixtures()[0]
+    headers = {"X-Anyplot-User": "u", "X-Request-Id": "r-a"}
+
+    without = matrix.base_record(case, 1)
+    without["status"] = "ok"
+    await runner._save_png(without, case, 1, "sid", {"artifacts": ["plot.py", "data.csv"]}, headers)
+    unfetchable = matrix.base_record(case, 1)
+    unfetchable["status"] = "needs_attention"
+    await runner._save_png(unfetchable, case, 1, "sid", {"artifacts": ["plot-light.png", "plot.py"]}, headers)
+
+    for record in (without, unfetchable):
+        matrix.finish_record(record)
+        assert (record["status"], record["reason"], record["passed"]) == ("error", "no_png", False)
+        assert matrix.is_error(record) and record["png"] is None
+    assert not (tmp_path / "renders").exists()
diff --git a/tests/unit/agents/evals/test_report.py b/tests/unit/agents/evals/test_report.py
new file mode 100644
index 0000000000..b662b2556b
--- /dev/null
+++ b/tests/unit/agents/evals/test_report.py
@@ -0,0 +1,359 @@
+"""Pricing, the report summary, the baseline diff, the Markdown and the review galleries, on synthetic runs."""
+
+import json
+import re
+from pathlib import Path
+from typing import Any
+
+import pytest
+
+from agents.anyplot.render.backends.fake import fixture_png
+from agents.evals import pricing
+from agents.evals.report import (
+    Flip,
+    blind_gallery,
+    compare,
+    diff_markdown,
+    gallery_all_html,
+    gallery_html,
+    main,
+    passed_runs,
+    percentile,
+    sample_runs,
+    score,
+    summarize,
+    summary_markdown,
+)
+
+from .conftest import check_html
+
+
+def run(case_id: str, **fields: Any) -> dict[str, Any]:
+    record: dict[str, Any] = {
+        "case_id": case_id,
+        "repeat": 1,
+        "spec_id": case_id.rsplit("-", 2)[0],
+        "library": "matplotlib",
+        "perturbation": "renamed",
+        "expected": "accepted",
+        "origin": "fixtures",
+        "status": "ok",
+        "reason": None,
+        "attempts": 1,
+        "passed": True,
+        "accept_match": True,
+        "cost_usd": 0.001,
+        "e2e_s": 20.0,
+        "ttfe_s": 1.0,
+        "render_s": [3.0],
+        "llm_calls": 4,
+        "tokens": {"prompt": 1000, "candidates": 100},
+        "gate_failures": {},
+        "validator_rejections": {},
+        "adapter_outcomes": {"plan": 1},
+        "edit_apply_failures": 0,
+        "reviewer": {"verdict": "ok", "defects": []},
+        "residual_defects": [],
+        "png": None,
+    }
+    record.update(fields)
+    return record
+
+
+def report_of(runs: list[dict[str, Any]], **stamp: Any) -> dict[str, Any]:
+    return {
+        "schema": 1,
+        "stamp": {"model": "claude-haiku-5-5", "date": "2026-10-10", "run_id": "abc123def456", **stamp},
+        "summary": summarize(runs),
+        "runs": runs,
+        "stopped": None,
+    }
+
+
+# --- Pricing -------------------------------------------------------------------------------
+
+
+def test_claude_call_at_list_price_on_eu() -> None:
+    cost = pricing.call_cost("claude-haiku-5-5", "eu", {"prompt": 10_000, "candidates": 2_000})
+
+    assert cost == pytest.approx((10_000 * 0.10 + 2_000 * 0.50) / 1e6 * 1.10)
+
+
+def test_cached_and_cache_write_tokens_have_their_own_rate() -> None:
+    tokens = {"prompt": 10_000, "cached": 8_000, "cache_write": 1_000, "candidates": 500, "thoughts": 500}
+
+    cost = pricing.call_cost("gemini-3.8-flash", "global", tokens)
+
+    expected_input = 1_000 * 1.50 + 8_000 * 1.50 * 0.10 + 1_000 * 1.50 * 1.25
+    assert cost == pytest.approx((expected_input + 1_000 * 7.50) / 1e6)
+
+
+def test_the_eu_prices_of_the_design() -> None:
+    assert pricing.call_cost("gemini-3.8-flash", "eu", {"prompt": 1_000_000}) == pytest.approx(1.65)
+    assert pricing.call_cost("gemini-3.8-flash", "eu", {"candidates": 1_000_000}) == pytest.approx(8.25)
+    assert pricing.judge_cost("gemini-3.5-flash-lite", "eu", 1_000_000, 1_000_000) == pytest.approx(0.33 + 2.75)
+
+
+def test_an_unpriced_model_is_an_error() -> None:
+    with pytest.raises(pricing.UnknownPrice, match="add it to agents/evals/pricing.py"):
+        pricing.call_cost("gemini-9-flash", "eu", {"prompt": 1})
+
+
+# --- Summary and diff ----------------------------------------------------------------------
+
+
+def test_percentile_interpolates() -> None:
+    assert percentile([], 0.5) is None
+    assert percentile([4.0, 1.0, 3.0, 2.0], 0.5) == 2.5
+    assert percentile(list(range(1, 101)), 0.95) == pytest.approx(95.05)
+
+
+def test_summary_counts_rates_and_cost() -> None:
+    runs = [
+        run("scatter-basic-matplotlib-renamed", cost_usd=0.002),
+        run("pie-basic-seaborn-n12", library="seaborn", perturbation="n12", attempts=2, status="needs_attention"),
+        run("box-basic-matplotlib-x10", perturbation="x10", status="failed", passed=False, accept_match=False),
+        run("line-basic-seaborn-date", status="harness_error", passed=False, accept_match=None, cost_usd=0.0),
+    ]
+
+    summary = summarize(runs)
+
+    assert (summary["runs"], summary["counted"], summary["harness_errors"]) == (4, 3, 1)
+    assert summary["pass_rate"] == pytest.approx(2 / 4)  # the harness error counts as a run that did not pass
+    assert summary["repaired_passes"] == 1
+    assert summary["ok_rate"] == pytest.approx(1 / 4)
+    assert summary["accept_match_rate"] == pytest.approx(2 / 3)  # a harness error has no outcome to match
+    assert summary["cost_total_usd"] == pytest.approx(0.004)
+    assert summary["cost_per_success_usd"] == pytest.approx(0.002)
+    assert summary["median_cost_per_success_usd"] == pytest.approx(0.0015)
+    assert summary["by_perturbation"]["x10"] == {"runs": 1, "passed": 0, "ok": 0, "pass_rate": 0.0}
+    assert summary["statuses"] == {"failed": 1, "harness_error": 1, "needs_attention": 1, "ok": 1}
+
+
+def test_diff_flags_a_regression_beyond_the_tolerance_and_lists_flips() -> None:
+    baseline = report_of([run("a-matplotlib-x"), run("b-matplotlib-x"), run("c-matplotlib-x")])
+    candidate = report_of([run("a-matplotlib-x"), run("b-matplotlib-x", passed=False), run("c-matplotlib-x")])
+
+    diff = compare(baseline, candidate, tolerance=0.05)
+
+    assert diff.regression
+    assert diff.flipped == [Flip("b-matplotlib-x", 1, 1, 0, 1)]
+    rows = {label: (base, cand, change) for label, base, cand, change in diff.rows}
+    assert rows["Pass rate"] == ("100.0 %", "66.7 %", "-33.3 pp")
+    assert rows["Runs compared"] == ("3", "3", "")
+    markdown = diff_markdown(diff)
+    assert "| Metric | Baseline | This run | Change |" in markdown
+    assert "- `b-matplotlib-x`: pass → fail" in markdown and "**Regression**" in markdown
+    assert "One run is 33.3 pp of the 3 compared runs" in markdown
+
+    assert not compare(baseline, candidate, tolerance=0.5).regression
+    assert not compare(baseline, baseline, tolerance=0.0).regression
+
+
+def test_diff_without_a_shared_case_compares_nothing() -> None:
+    diff = compare(report_of([run("a-matplotlib-x")]), report_of([run("b-matplotlib-x")]), tolerance=0.05)
+
+    assert (diff.shared_cases, diff.only_in_baseline, diff.only_in_candidate) == (0, 1, 1)
+    assert diff.flipped == [] and not diff.regression and "No case is in both" in diff.notes[0]
+
+
+def test_a_smoke_run_is_compared_on_the_baselines_same_cases() -> None:
+    full = [run(f"case-{index:02d}-matplotlib-x") for index in range(20)]
+    for index in (0, 5, 9):
+        full[index] = run(f"case-{index:02d}-matplotlib-x", passed=False, status="failed")
+    baseline = report_of(full)  # 17 of 20 passed: 85 %
+    smoke = report_of([dict(full[index]) for index in (0, 1, 2, 3)])  # the same outcomes: 3 of 4 passed
+
+    diff = compare(baseline, smoke, tolerance=0.05)
+
+    assert diff.shared_cases == 4 and diff.flipped == [] and not diff.regression
+    rows = {label: (base, cand) for label, base, cand, _ in diff.rows}
+    assert rows["Pass rate"] == ("75.0 %", "75.0 %")
+    assert rows["Pass rate, all runs of each report"] == ("85.0 %", "75.0 %")
+    assert "16 cases are only in the baseline" in " ".join(diff.notes)
+
+    worse = report_of([dict(full[index]) for index in (0, 1, 2)] + [run("case-03-matplotlib-x", passed=False)])
+    assert compare(baseline, worse, tolerance=0.05).flipped == [Flip("case-03-matplotlib-x", 1, 1, 0, 1)]
+    assert compare(baseline, worse, tolerance=0.05).regression
+
+
+def test_harness_errors_cannot_hide_a_regression() -> None:
+    baseline = report_of([run(f"case-{index:02d}-matplotlib-x") for index in range(20)])
+    crashed = [run(f"case-{index:02d}-matplotlib-x") for index in range(4)]
+    crashed += [
+        run(f"case-{index:02d}-matplotlib-x", status="harness_error", passed=False, accept_match=None)
+        for index in range(4, 20)
+    ]
+
+    diff = compare(baseline, report_of(crashed), tolerance=0.05)
+
+    assert diff.regression and len(diff.flipped) == 16
+
+
+def test_flips_with_repeats_compare_the_share_of_passed_runs() -> None:
+    baseline = report_of([run("a-matplotlib-x", repeat=1), run("a-matplotlib-x", repeat=2, passed=False)])
+    same_share = report_of([run("a-matplotlib-x", repeat=1, passed=False), run("a-matplotlib-x", repeat=2)])
+    worse = report_of([run("a-matplotlib-x", repeat=1, passed=False), run("a-matplotlib-x", repeat=2, passed=False)])
+
+    assert compare(baseline, same_share, tolerance=0.05).flipped == []
+    (flip,) = compare(baseline, worse, tolerance=0.05).flipped
+    assert flip == Flip("a-matplotlib-x", 1, 2, 0, 2)
+    assert "1 of 2 passed → 0 of 2" in diff_markdown(compare(baseline, worse, tolerance=0.05))
+
+
+def test_summary_markdown_has_every_section() -> None:
+    runs = [run("a-matplotlib-x"), run("b-matplotlib-x", status="failed", reason="render", passed=False)]
+    report = report_of(runs, provider="anthropic-vertex", location="eu", renderer="fake")
+    diff = compare(report, report, tolerance=0.05)
+
+    text = summary_markdown(report, diff)
+
+    for heading in ("## Results", "## By perturbation", "## By library", "## By spec", "## Against the baseline"):
+        assert heading in text
+    assert "## Runs that did not pass" in text and "`b-matplotlib-x`" in text
+
+
+# --- Galleries ------------------------------------------------------------------------------
+
+
+@pytest.fixture
+def rendered(tmp_path: Path) -> dict[str, Any]:
+    (tmp_path / "renders").mkdir()
+    png = fixture_png("light", (320, 180))
+    runs = []
+    for index in range(40):
+        name = f"case-{index:02d}-matplotlib-x10"
+        (tmp_path / "renders" / f"{name}-r1.png").write_bytes(png)
+        runs.append(run(name, png=f"renders/{name}-r1.png", residual_defects=["VQ-03 (light): <small> markers"]))
+    runs.append(run("failed-matplotlib-x10", status="failed", passed=False))
+    (tmp_path / "renders" / "padded-matplotlib-x10-r1.png").write_bytes(png)
+    runs.append(
+        run(
+            "padded-matplotlib-x10",
+            status="needs_attention",
+            passed=False,
+            padded=True,
+            png="renders/padded-matplotlib-x10-r1.png",
+        )
+    )
+    return report_of(runs, provider="anthropic-vertex")
+
+
+def test_gallery_is_valid_blind_html_with_thirty_judgeable_renders(rendered: dict[str, Any], tmp_path: Path) -> None:
+    text = gallery_html(rendered, tmp_path, seed=7)
+
+    checker = check_html(text)
+    assert checker.doctype and checker.titles == 1 and checker.errors == [] and checker.stack == []
+    images = [attrs for tag, attrs in checker.tags if tag == "img"]
+    assert len(images) == 30 and all(str(attrs["src"]).startswith("data:image/png;base64,") for attrs in images)
+    boxes = [attrs for tag, attrs in checker.tags if tag == "input"]
+    assert len(boxes) == 60 and {attrs["data-choice"] for attrs in boxes} == {"accept", "reject"}
+    items = json.loads(re.search(r'<script type="application/json" id="items">(.*?)</script>', text, re.S).group(1))
+    assert len(items) == 30 and len({item["key"] for item in items}) == 30
+    assert "&lt;small&gt;" in text  # residual lines are escaped
+    assert "claude" not in text.lower() and "anthropic" not in text.lower()  # blind to the arm
+    assert 'id="export"' in text and "acceptance_rate" in text
+
+
+def test_gallery_sample_is_seeded_and_holds_passed_renders_only(rendered: dict[str, Any]) -> None:
+    first = [item["case_id"] for item in sample_runs(rendered, seed=3)]
+    assert first == [item["case_id"] for item in sample_runs(rendered, seed=3)]
+    assert first != [item["case_id"] for item in sample_runs(rendered, seed=4)]
+    assert len(sample_runs(rendered, size=50)) == 40  # never more than the passed renders
+    assert "padded-matplotlib-x10" not in {run["case_id"] for run in passed_runs(rendered)}  # shipped, not passed
+
+
+def test_gallery_all_lists_every_run(rendered: dict[str, Any]) -> None:
+    text = gallery_all_html(rendered)
+
+    checker = check_html(text)
+    assert checker.doctype and checker.errors == [] and checker.stack == []
+    assert text.count("<tr>") == 43  # the header row and 42 runs
+    assert 'src="renders/case-00-matplotlib-x10-r1.png"' in text
+
+
+def test_an_empty_report_still_renders(tmp_path: Path) -> None:
+    empty = report_of([])
+
+    assert check_html(gallery_html(empty, tmp_path)).errors == []
+    assert "No passed render" in gallery_html(empty, tmp_path)
+
+
+# --- The blind gallery over two runs ---------------------------------------------------------
+
+
+def two_arms(tmp_path: Path) -> list[tuple[dict[str, Any], Path]]:
+    """Two runs in their own folders: 12 cases pass in both, 3 only in the first, 2 only in the second."""
+    png = fixture_png("light", (320, 180))
+    arms = []
+    for arm, model, provider, cases in (
+        ("claude", "claude-haiku-5-5", "anthropic-vertex", [*range(12), 12, 13, 14]),
+        ("gemini", "gemini-3.8-flash", "gemini", [*range(12), 15, 16]),
+    ):
+        folder = tmp_path / arm
+        (folder / "renders").mkdir(parents=True)
+        runs = []
+        for index in cases:
+            name = f"case-{index:02d}-seaborn-n12"
+            (folder / "renders" / f"{name}-r1.png").write_bytes(png)
+            runs.append(run(name, library="seaborn", png=f"renders/{name}-r1.png"))
+        arms.append((report_of(runs, model=model, provider=provider, run_id=f"run-{arm}"), folder))
+    return arms
+
+
+def test_blind_gallery_shows_both_runs_of_the_same_cases_without_naming_them(tmp_path: Path) -> None:
+    page, key = blind_gallery(two_arms(tmp_path), size=5, seed=1)
+
+    checker = check_html(page)
+    assert checker.doctype and checker.errors == [] and checker.stack == []
+    assert len([attrs for tag, attrs in checker.tags if tag == "img"]) == 10
+    for word in ("claude", "anthropic", "gemini", "run-claude", "run-gemini"):
+        assert word not in page.lower()
+    assert (key["cases"], key["common_cases"], len(key["items"])) == (5, 12, 10)
+    by_case: dict[str, set[str]] = {}
+    for item in key["items"].values():
+        by_case.setdefault(item["case_id"], set()).add(item["arm"])
+    assert len(by_case) == 5 and all(arms == {"a", "b"} for arms in by_case.values())
+    assert all(int(case[5:7]) < 12 for case in by_case)  # only cases both runs passed
+    assert key["arms"]["a"]["model"] == "claude-haiku-5-5" and key["arms"]["b"]["model"] == "gemini-3.8-flash"
+    assert f'data-run="{key["blind_id"]}"' in page
+
+
+def test_score_joins_the_export_to_the_key(tmp_path: Path) -> None:
+    _, key = blind_gallery(two_arms(tmp_path), size=4, seed=2)
+    judgements = {
+        "run_id": key["blind_id"],
+        "judgements": [
+            {"key": card, "choice": "accept" if item["arm"] == "a" else ("reject" if index % 2 else None)}
+            for index, (card, item) in enumerate(sorted(key["items"].items()))
+        ],
+    }
+
+    result = score(key, judgements)
+
+    assert (result["a"]["renders"], result["a"]["accepted"], result["a"]["acceptance_rate"]) == (4, 4, 1.0)
+    assert result["b"]["accepted"] == 0 and result["b"]["rejected"] + result["b"]["open"] == 4
+    with pytest.raises(ValueError, match="another gallery"):
+        score(key, {**judgements, "run_id": "other"})
+
+
+def test_blind_and_score_commands(tmp_path: Path, capsys: pytest.CaptureFixture[str]) -> None:
+    arms = two_arms(tmp_path)
+    paths = []
+    for report, folder in arms:
+        paths.append(folder / "report.json")
+        paths[-1].write_text(json.dumps(report))
+
+    code = main(["blind", "--report", str(paths[0]), "--report", str(paths[1]), "--out", str(tmp_path / "blind")])
+
+    assert code == 0
+    key = json.loads((tmp_path / "blind" / "blind-key.json").read_text())
+    assert check_html((tmp_path / "blind" / "blind.html").read_text()).errors == []
+    export = {"run_id": key["blind_id"], "judgements": [{"key": card, "choice": "accept"} for card in key["items"]]}
+    (tmp_path / "judgements.json").write_text(json.dumps(export))
+    capsys.readouterr()
+
+    assert main(["score", "--key", str(tmp_path / "blind" / "blind-key.json"), str(tmp_path / "judgements.json")]) == 0
+    table = capsys.readouterr().out
+    assert "| a | anthropic-vertex | claude-haiku-5-5 | 12 | 12 | 0 | 0 | 100.0 % |" in table  # 12 common cases
+    assert main(["score", "--key", str(tmp_path / "missing.json"), str(tmp_path / "judgements.json")]) == 2
diff --git a/tests/unit/agents/runtime/test_models.py b/tests/unit/agents/runtime/test_models.py
index 77ac6ef3e8..7202461f10 100644
--- a/tests/unit/agents/runtime/test_models.py
+++ b/tests/unit/agents/runtime/test_models.py
@@ -196,6 +196,7 @@ async def test_anthropic_judge_parses_the_forced_tool(self) -> None:
 
         assert verdict.verdict == "out_of_scope"
         assert verdict.tokens == 120
+        assert (verdict.input_tokens, verdict.output_tokens) == (100, 20)  # the split the eval harness prices
         assert client.calls[0]["tool_choice"]["type"] == "tool"
 
     def test_adapter_full_cap(self) -> None:
diff --git a/tests/unit/agents/runtime/test_render.py b/tests/unit/agents/runtime/test_render.py
index ac86fe976d..6109613fba 100644
--- a/tests/unit/agents/runtime/test_render.py
+++ b/tests/unit/agents/runtime/test_render.py
@@ -240,6 +240,7 @@ def test_timeout_and_missing_png(self) -> None:
 
         assert not report.passed_host_gates
         assert "time limit" in report.blocking[0] and "saved no plot-dark.png" in report.blocking[1]
+        assert report.failed_gates == ["R1-timeout", "R1"]
 
     def test_canvas_miss_is_a_defect_with_a_padded_copy(self) -> None:
         report = evaluate(
@@ -252,6 +253,7 @@ def test_canvas_miss_is_a_defect_with_a_padded_copy(self) -> None:
         assert report.passed_host_gates and not report.canvas_ok
         assert len(report.canvas_defects) == 1 and report.canvas_defects[0].startswith("VQ-05 (both)")
         assert size_of(report.padded_pngs["light"]) == (3200, 1800)
+        assert report.failed_gates == ["R3", "R3"]  # one entry per theme, for the attribution log
 
     def test_advisory_probe_lines(self) -> None:
         probe = {
@@ -275,6 +277,7 @@ def test_advisory_probe_lines(self) -> None:
             "DQ-03 (both)",
             "DQ-03 (code)",
         ]
+        assert report.failed_gates == ["G3", "G7", "G5", "G8"] * 2  # per theme, in the probe's check order
 
     @pytest.mark.parametrize(
         "probe",