Generate relational test data that satisfies what you declared, then get back a check that it did. Describe the datase…
Generate relational test data that satisfies what you declared, then get back a check that it did. Describe the dataset in a sentence or hand over a schema. Misata builds every table in one pass, so foreign keys resolve, parent totals equal what their children actually sum to, and a column declared as qty * price holds on every row. Same schema and seed, same data, so a fixture you liked yesterday is still there tomorrow. The division of labour is the point. Your agent designs the schema, which is what agents are genuinely good at. The engine handles the arithmetic, which is where generated data quietly goes wrong: line items that look perfect and don't add up, a summary figure that disagrees with the rows underneath it. generate_from_schema needs no API key and returns an integrity proof for every relationship. Seven tools, including one that fills a real database from its own schema, parents before children, every key verified afterwards. It plans first and writes nothing until you confirm. MIT licensed. No training data, no copy of production, nothing to anonymise.
misata
mcp
free
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