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Automated /llms.txt & Agent Documentation Context Compiler
Automated /llms.txt & Agent Documentation Context Compiler is a paid API for AI agents from json-repair.agentdiet.dev, paid per call via MPP, $0.015/call, status unknown (last checked 2026-10-21).
Crawls any documentation or SaaS site URL and generates a standards-compliant /llms.txt manifest plus a JSON-LD schema bundle for agent consumption
Price / call$0.015
Success—
StatusUnknown
How this service works
Crawls any documentation or SaaS site and compiles a standards-compliant /llms.txt manifest and JSON-LD schema bundle. (Live x402 v2, IETF MPP & MCP endpoint at https://json-repair.agentdiet.dev/v1/llms-txt)
Output
Returns a standards-compliant /llms.txt manifest and JSON-LD schema bundle derived from the crawled website, structured for direct agent consumption and LLM context injection.
Example use cases
Agent-ify third-party API docs
“Crawl https://docs.openai.com and generate a ready-to-use /llms.txt manifest so my agent can reference OpenAI's documentation without me manually formatting anything.”
Self-serve llms.txt for SaaS product
“I just launched my SaaS at https://myapp.io — can you crawl the site and produce a standards-compliant /llms.txt manifest and JSON-LD bundle so AI agents can discover and understand what my product does?”
Build agent context from competitor docs
“Crawl https://docs.twilio.com and compile an /llms.txt and JSON-LD schema bundle for it — I want my agent to be able to answer questions about Twilio's API without me having to write the context myself.”
Technical details
Endpoint
GEThttps://json-repair.agentdiet.dev/v1/llms-txt?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to programmatically create an /llms.txt manifest from an existing website that doesn't have one, or when you want to package any documentation site's content into a machine-readable format for agent use. Prefer this over manual authoring when speed and automation matter, or when building agent pipelines that must dynamically ingest third-party docs.
Side effects
- Invalid or unreachable URL returns an error — ensure the target site is publicly accessible
- Sites with heavy JavaScript rendering or bot-blocking may yield incomplete manifests
- Very large documentation sites may be truncated or partially crawled within response limits
- Malformed or non-standard HTML structures may reduce extraction quality
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| urlrequired | string | Website URL to crawl and generate a ready-to-consume /llms.txt manifest for |
Output
Schema · Response
{
"type": "object"
}Reviews
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