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Data quality checker

Beta

Reviews datasets for completeness, consistency, anomalies, validation rules, and cleanup plans.

Verified - data operations review

Run in dashboardView plansAPI reference

Example prompts

  • Find data quality risks in this table.
  • Suggest validation rules.
  • Create a cleanup plan for these fields.

Limitations

  • Does not access databases directly.
  • Findings need validation against source systems.

What “verified” means

Every catalog agent passes an internal release review: capability checks, safety guardrails, regression prompts, and telemetry baselines. Partner-specific certifications (e.g. legal or clinical reviewers) are called out on individual cards where they apply. Verified does not replace your own compliance review for regulated use cases.

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