> ## Documentation Index
> Fetch the complete documentation index at: https://docs.datafold.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Datafold

> Datafold delivers data platform migrations with guaranteed outcomes and gives data teams value-level data diffs and monitors to validate their data — from the app, the API, or their coding agents via MCP.

> [!NOTE]
>
> **These docs cover the Datafold application only.** They do not cover Datafold's AI agent platform, which our team uses to deliver migrations and other data engineering projects. The platform is changing quickly, so we share its capabilities directly rather than in public docs. To learn what it can do for your project, [book a demo](https://www.datafold.com/demo).

> [!NOTE]
>
> You are reading the docs for the current Datafold app. If you sign in at `app.datafold.com` or `eu.datafold.com`, switch to **Classic version** in the version menu. Not sure? See [Which version am I on?](https://docs.datafold.com/which-version.md)

## Key features

> [card] [Data Platform Migrations](https://docs.datafold.com/data-migration-automation/datafold-migration-agent.md)
>
> The Data Migration Agent delivers guaranteed-outcome migrations with fixed price, timeline, and data parity.

> [card] [Data Diffs](https://docs.datafold.com/data-diff/what-is-data-diff.md)
>
> Compare tables, queries, and files within one database or across databases, down to individual values.

> [card] [Data Diff Monitors](https://docs.datafold.com/data-monitoring/monitor-types.md)
>
> Run data diffs on a schedule and get an OK or Alert verdict on every run. Manage them in the app or as code.

> [card] [MCP Integration](https://docs.datafold.com/datafold-mcp.md)
>
> Connect your AI coding agent to Datafold to run data diffs, query data connections, and manage monitors through natural language.

## Getting started

**1. Connect your data**

Add a [data connection](https://docs.datafold.com/integrations/databases.md) for each database you want to compare.

**2. Run a data diff**

Create an [in-database](https://docs.datafold.com/data-diff/in-database-diffing/creating-a-new-data-diff.md) or [cross-database](https://docs.datafold.com/data-diff/cross-database-diffing/creating-a-new-data-diff.md) data diff, or [diff files](https://docs.datafold.com/data-diff/file-diffing.md) in cloud storage.

**3. Automate validation**

Turn recurring checks into [data diff monitors](https://docs.datafold.com/data-monitoring/monitors/data-diff-monitors.md), or call Datafold from your tools through the [API](https://docs.datafold.com/api-reference/introduction.md) and [MCP](https://docs.datafold.com/datafold-mcp.md).

## Learn more

* [Connect your AI agent to Datafold via MCP](https://docs.datafold.com/datafold-mcp.md)
* [Book a demo](https://www.datafold.com/demo) to see how Datafold can deliver your migration


This documentation is built and hosted on [Mintlify](https://mintlify.com), a developer documentation platform.