A measurement, not an opinion

Can an AI agent
actually succeed
in your data repo?

Agents fail in dbt™ and Python repositories for structural reasons, not clever ones. They cannot tell what a model means, cannot verify their own change, and cannot see a dependency written as a raw table name. This scans a repository and scores those conditions.

Seven pillars

  1. 01Semantic context
  2. 02Test safety net
  3. 03Structural clarity
  4. 04Lineage integrity
  5. 05Contracts & governance
  6. 06Agent interface
  7. 07Python readiness

Drop a repository archive

A .zip of your dbt™ project and Python code. Nothing is stored — the archive is parsed in memory and discarded with the response.

zip · dbt™ + python

Parsed in memory on the server and discarded with the response. No repository contents are written to disk, logged, or sent to a model.

dbt® and dbt Core® are federally registered trademarks of dbt Labs, Inc. in the United States and various jurisdictions around the world. Paradime is not a partner of dbt Labs. All rights therein are reserved to dbt Labs. Paradime is not a product or service of or endorsed by dbt Labs, Inc.