Datafold llms.txt
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, 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.
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.
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Open any chat or composer panel
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Type @Docs and select "Add new doc"
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Paste the URL: https://docs.datafold.com/llms.txt
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Wait for the green dot (indexing complete)
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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.
Frequently Asked Questions
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.
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.
Datafold's llms.txt contains 3 sections and 155 documentation links in 26.1 KB (~6.7k tokens). Key sections include Docs, OpenAPI Specs, Optional.
The concise llms.txt index is approximately 6.7k tokens (26.1 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.
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.