Misata Studio: verified synthetic data

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How to connect

Add it to any MCP client that supports remote servers.

{
  "mcpServers": {
    "misata-studio-verified-synthetic-data": {
      "type": "http",
      "url": "https://api.misata.studio/mcp"
    }
  }
}

13 tools

• 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…

• 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…

• 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…

• 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…

• start_generation

  Start a generation in the background and return a job_id at once. Use it for any plain-English `request` (a model designs the tables, which takes minutes) — then call get_status(job_id) every 20-30 seconds until it says done. Arguments are the same as generate_dataset…

• get_status

  Where a start_generation job is. While running: the stage it is in and how long it has run. When done: the same answer generate_dataset returns (dataset_id, verification, tables, certificate).

• cancel_generation

  Stop a running start_generation job. It stops at the next stage boundary and keeps nothing.

• get_certificate

  The full certificate for a dataset made by generate_dataset: every claim (stated vs actual), every requirement's status and evidence, realism findings, planted defects/anomalies if any, and the pattern charts. This is the whole answer key, not the trimmed form…

• check_answers

  The dataset's ground truth: every number it is held to, and the business's standard numbers (MRR, churn, billed revenue, win rate...), by month, worked out when it was made. Use it to test whatever answers questions about the data -- an agent, a dashboard, a cube, a…

• query_dataset

  Read-only SQL over a dataset's own tables (one SELECT/WITH statement; every table name is a view over that dataset's own files — nothing else on the server is reachable this way). Args: dataset_id: from a prior generate_dataset call. sql: a single…

• export_dataset

  Export a generated dataset as a file. Returns a `download_url` the person can open (or you can fetch, e.g. with curl) for as long as the dataset is held, about 2 hours. Give the person the link rather than pasting file contents into the chat. Args…

• find_ready_dataset

  The ready-made datasets Misata publishes: free sample databases (direct download, public domain) and premium datasets with a full answer key (a free preview, then a one-off price). Check this first when someone wants sample, demo, practice or teaching data for a common…

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