Datafold llms.txt · AI Docs Browser · mdream [llms.txt Tools](https://mdream.dev/llms-txt/datafold/llms-txt) # Datafold llms.txt docs.datafold.com/llms.txt [Raw llms.txt](https://docs.datafold.com/llms.txt) [Raw llms-full.txt](https://docs.datafold.com/llms-full.txt) Copy Markdown [](https://docs.datafold.com/llms.txt) llms.txt Docs Get Audit Logs Create a DBT BI integration Create a Hightouch integration Create a Looker integration Create a Mode Analytics integration Create a Power BI integration Create a Tableau integration Get an integration List all integrations Remove an integration Sync a BI integration Update a DBT BI integration Update a Hightouch integration Update a Looker integration Update a Mode Analytics integration Update a Power BI integration Update a Tableau integration Create Org Session Get Org Spend List Org Sessions List CI runs Trigger a PR/MR run Upload PR/MR changes Cancel a running data diff Create a data diff Get a data diff Get a data diff summary Get a human-readable summary of a DataDiff comparison List data diffs Update a data diff Create a data source Execute a SQL query against a data source Get a data source Get a data source summary Get data source testing results List data source types List data sources Test a data source connection Datafold API Datafold SDK Get column downstreams Get column upstreams Get table downstreams Get table upstreams Introduction MCP Server Create a Data Diff Monitor Create a Data Test Monitor Create a Metric Monitor Create a Schema Change Monitor Delete a Monitor Get Monitor Get Monitor Run List Monitor Runs List Monitors Toggle a Monitor Trigger a run Update a Monitor Best Practices Creating a New Data Diff Results How Datafold Diffs Data Best Practices Creating a New Data Diff Results What's a Data Diff? dbt Metadata Sync How It Works Lineage Profile Datafold Migration Agent Migration Automation Monitor Types Monitors as Code Data Diff Monitors Data Test Monitors Metric Monitors Schema Change Monitors Deployment Options Datafold VPC Deployment on AWS Datafold VPC Deployment on Azure Datafold VPC Deployment on GCP MCP AI Code Reviews Handling Data Drift Slim Diff Configuration Column Remapping Running Data Diff for Specific PRs/MRs Running Data Diff on Specific Branches Diff Timeline Excluding Models Including/Excluding Columns SQL Filters Time Travel Primary Key Inference Getting Started with CI/CD Testing API No-Code How Datafold in CI Works CI/CD Testing Data Diffing Data Monitoring and Observability Data Reconciliation Data Storage and Security Integrating Datafold with dbt Overview Performance and Scalability Resource Management Slack Bot Hightouch Looker Mode Power BI Tableau Tracking Jobs Integrate with Code Repositories Azure DevOps Bitbucket GitHub GitLab Set Up Your Data Connection Athena BigQuery Databricks Dremio MySQL Netezza Oracle PostgreSQL Redshift SAP HANA Snowflake Microsoft SQL Server Starburst Azure Synapse Analytics Teradata OAuth Support Integrate with Orchestrators Custom Integrations dbt Cloud dbt Core Compliance & Trust Center MCP Tool Permissions Securing Connections Service Accounts Single Sign-On Google OAuth Okta (OIDC) SAML Google Microsoft Entra ID Okta Group provisioning User Roles and Permissions FAQ Support Datafold OpenAPI Specs openapi-public openapi Optional About Datafold Blog ## What is Datafold's llms.txt? Datafold publishes an `/llms.txt` file that provides AI systems with a structured index of its documentation. It follows the [llms.txt specification](https://llmstxt.org), organizing links to guides, API references, and tutorials under section headings so that LLMs like ChatGPT, Claude, and Gemini can quickly understand what Datafold offers and where to find details. Pass Spec 3 Sections 162 Links 27.5 KB Size ~7.0k Tokens Sections: Docs · OpenAPI Specs · Optional ## Add Datafold Docs to Your AI Assistant Select your tool to see how to add Datafold's llms.txt as a documentation source. Cursor Windsurf Claude Code ChatGPT Zed Copilot 1. 1 Open any chat or composer panel 2. 2 Type @Docs and select "Add new doc" 3. 3 Paste the URL: https://docs.datafold.com/llms.txt 4. 4 Wait for the green dot (indexing complete) 5. 5 Reference @Docs in chat when asking about Datafold Cursor crawls the URL and indexes all subpages. Add a trailing slash to index child pages too. ## Spec Compliance 3 notes ## Frequently Asked Questions Where is Datafold's llms.txt file? Datafold publishes its llms.txt at https://docs.datafold.com/llms.txt. This file provides a structured, markdown-formatted index of Datafold's documentation that AI systems can consume to understand the project's APIs, guides, and references. How do I use Datafold's llms.txt with AI coding assistants? Copy the llms.txt content and paste it into your AI assistant (Cursor, Windsurf, Claude, ChatGPT) as context. This gives the AI an accurate map of Datafold's documentation so it can provide better code suggestions and answers about Datafold. What does Datafold's llms.txt contain? Datafold's llms.txt contains 3 sections and 162 documentation links in 27.5 KB (~7.0k tokens). Key sections include Docs, OpenAPI Specs, Optional. How many tokens does Datafold's llms.txt use? The concise llms.txt index is approximately 7.0k tokens (27.5 KB). Most AI assistants can fit this within their context window. For the full expanded documentation, look for an llms-full.txt variant which embeds all content inline. Can I generate an llms.txt for my own project? Yes. Use the free llms.txt generator at mdream.dev/tools/llms-txt/generator to crawl your site and produce a spec-compliant llms.txt file. You can also validate existing files with the llms.txt validator. ## Browse More llms.txt Files [OpenCage Documentation](https://mdream.dev/llms-txt/datafold/llms-txt/opencage-documentation) [Intuned](https://mdream.dev/llms-txt/datafold/llms-txt/intuned) [Flatfile Developer Docs](https://mdream.dev/llms-txt/datafold/llms-txt/flatfile-developer-docs) [Inkeep](https://mdream.dev/llms-txt/datafold/llms-txt/inkeep) [Unify](https://mdream.dev/llms-txt/datafold/llms-txt/unify) [Ghost Developer Docs](https://mdream.dev/llms-txt/datafold/llms-txt/ghost-developer-docs) [IonQ Quantum Cloud Documentation](https://mdream.dev/llms-txt/datafold/llms-txt/ionq-quantum-cloud-documentation) [Ecotone - DDD, CQRS, Event Sourcing in PHP](https://mdream.dev/llms-txt/datafold/llms-txt/ecotone-ddd-cqrs-event-sourcing-in-php) [View all 99 projects ](https://mdream.dev/llms-txt/datafold/llms-txt) ## Related Tools [

llms.txt Generator

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Validate your llms.txt against the official spec.](https://mdream.dev/llms-txt/datafold/tools/llms-txt/validator) © 2026 [Harlan Wilton](https://github.com/harlan-zw) · [MIT](https://github.com/harlan-zw/mdream/blob/main/license) [GitHub](https://github.com/harlan-zw/mdream) [Discord](https://discord.com/invite/275MBUBvgP)