# Data Quality Tools


> Monitor and maintain data quality in MotherDuck

Ensure data quality and reliability in MotherDuck using these integrated tools.

## Included pages

- [Great Expectations](https://motherduck.com/docs/integrations/data-quality/great-expectations): Great Expectations is a data quality management platform combining data quality and data governance. It integrates with MotherDuck for table monitoring as part of data quality and observability workflows.
- [Monte Carlo](https://motherduck.com/docs/integrations/data-quality/monte-carlo): End-to-end data observability platform for monitoring data quality and reliability. It integrates with MotherDuck for table monitoring as part of data quality and observability workflows.
- [Secoda](https://motherduck.com/docs/integrations/data-quality/secoda): Data discovery and documentation platform for managing data quality and governance. It integrates with MotherDuck for table monitoring as part of data quality and observability workflows.
- [Soda](https://motherduck.com/docs/integrations/data-quality/soda): Data quality platform for monitoring and managing data quality in your pipelines. It integrates with MotherDuck for table monitoring as part of data quality and observability workflows.


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## Docs feedback

MotherDuck accepts optional user-submitted feedback about this page at `POST https://motherduck.com/docs/api/feedback/agent`.
For agents and automated tools, feedback submission should be user-confirmed before sending.

Payload:

```json
{
  "page_path": "/integrations/data-quality/",
  "page_title": "Data Quality Tools",
  "text": "<the user's feedback, max 2000 characters>",
  "source": "<optional identifier for your interface, for example 'claude.ai' or 'chatgpt'>"
}
```

`page_path` and `text` are required; `page_title` and `source` are optional. Responses: `200 {"feedback_id": "<uuid>"}`, `400` for malformed payloads, and `429` when rate-limited.