generate_dataset
shallowstudio.misata/misata · Verify this server
Make a verified relational dataset and wait for it: every foreign key checked, dates correctly ordered, declared aggregates and rates exact, before anything is returned. Deterministic for a seed. Use this when you give a `schema` or `ddl` (seconds). For a plain-English `request` the engine designs the tables with a model, which can take several minutes: call start_generation instead and poll get_status, so the call does not sit open and time out. Args: request: Plain-English description (needs an LLM key unless `schema`/`ddl` is also given). schema: A Misata schema dict for exact structural control. No key needed for structure. ddl: CREATE TABLE statements. No key needed for structure. seed: Reproducibility seed — the same request/schema and seed always produce the same rows. research: Ground realistic numbers (prices, growth rates) in real published facts via a web search. Off by default (an anonymous caller's request should not trigger external calls unless asked for); needs a key regardless of `schema`/`ddl`. blueprint: The engine's full design language (blueprint_guide has the reference): readings around a parent's nominal, drift, autocorrelation, cause-and-effect, event windows, exact aggregates. Use it whenever the data must behave like the real process. No key needed; run validate_blueprint on it first. Returns: dataset_id: pass this to get_certificate / query_dataset / export_dataset. passed: whether every check held. A dataset that did not pass is still returned, with `certificate.findings` saying what failed — inspect before trusting it. verification: a short, plain-language account of what was checked and what held — show it to the person as the proof, in place of asking them to take the data on trust. tables: {name: {columns, preview_rows (first 20), total_rows}} — the preview only; every row is in the stored dataset, reachable by query_dataset/export_dataset. certificate: the short form (claims, requirements, findings). get_certificate returns the rest (patterns, realism scorecard, every proof chart).
1 trials · measured 1 day ago
generate_dataset scores 100.0/100 on Vouch's measured behaviour index, from 1 real invocation trials against studio.misata/misata, measured 6 Oct 2026 under methodology v0.2.0. Every measured component scored 100.
Component breakdown
| Component | Weight | Value |
|---|---|---|
| Reliability | 35% | not applicable |
| Schema integrity | 25% | 100.0 |
| Failure behaviour | 15% | not applicable |
| Latency | 15% | not applicable |
| Concurrency | 10% | not applicable |
Tool details
- Transport
- remote
- Credential class
- self-provisionable
- Input schema
- not declared
- Output schema
- not declared
- Side-effect classification
- unclassified
Score history
| Day | Score | Tier | Methodology |
|---|---|---|---|
| 2026-10-06 | 100.0 | shallow | v0.2.0 |
Probe evidence
| Probe | Outcomes |
|---|---|
| schema_integrity | pass: 1 |
Raw request/response logs are not archived yet — the outcome counts above are drawn directly from every recorded trial.
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