Misata Studio: verified synthetic data

Where it sits in the directory's order

What can be seen from outside, weighed as the directory publishes.

Where it answers

• https://api.misata.studio/mcpstreamable-http

The tools it lists (12, as of 4 days ago)

The tool-description rules found nothing in these descriptions. They look for instructions aimed at a model and for hidden characters; they cannot see what a tool does when it runs.

• whoami

  Which account this connection is, and what it may do: signed in with a Studio MCP key or anonymous, the row cap, and whether a model key is available for plain-English requests.

• plan_dataset

  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 need

• blueprint_guide

  The reference for the engine's full design language (the `blueprint` argument of generate_dataset, start_generation and validate_blueprint): roles, distributions, formulas that read parent columns and draw noise, per-group sequences (seq, lag, cumsum, ar1 drift, random walk), aggregates, event windows, cause-and-effect, lifecycles, with patterns. Read it before writing a blueprint.

• validate_blueprint

  Check a blueprint before generating it: every error said as what to change, the design traps it falls into (a column that will round away, a copy of a value not made yet, a window that counts nothing), its size against your row cap, and a small preview run (a few thousand rows) with the verifier's findings and sample rows, so you can see the data behave before the real call. Free. Returns: valid, errors (fix these), warnings (read these), estimated_rows, row_cap, preview: {passed, findings, tables: {name: first rows}} when `preview`.

• generate_dataset

  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: