plan_dataset

shallow

studio.misata/misata · Verify this server

See the tables, sizes and relationships the engine would build, before any rows exist. Free (no rows are made), so it is worth calling before generate_dataset on anything non-trivial: review what it understood and assumed, then adjust your request or schema before spending a real call. Args: request: Plain-English description (needs an LLM key, unless `schema`/`ddl` is also given — then it is still used to ground realism, e.g. locale and what columns mean). schema: A Misata schema dict (see the server instructions for the format). No key needed for structure. ddl: CREATE TABLE statements. No key needed for structure. Returns: route: "chat" (not a dataset request — see `reply`), "design" (the model designed the tables) or "pack" (matched a built-in shape). tables: name, estimated rows, columns, foreign keys for each table the engine would build. understanding: what the engine read the request as (business, archetype, assumptions). requirements: every specific thing the request asked for, so you can see what was understood.

100.0/100

1 trials · measured 2 days ago

plan_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

ComponentWeightValue
Reliability35%not applicable
Schema integrity25%100.0
Failure behaviour15%not applicable
Latency15%not applicable
Concurrency10%not applicable

Tool details

Transport
remote
Credential class
self-provisionable
Input schema
not declared
Output schema
not declared
Side-effect classification
unclassified

Score history

DayScoreTierMethodology
2026-10-06100.0shallowv0.2.0

Probe evidence

ProbeOutcomes
schema_integritypass: 1

Raw request/response logs are not archived yet — the outcome counts above are drawn directly from every recorded trial.

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Vouch score: plan_dataset
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plan_dataset — Vouch