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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 mesh.agentdiet.dev, paid per call via MPP, $0.01/call, status unknown (last checked 2026-10-21).
Crawls any documentation or SaaS website and generates a standards-compliant /llms.txt manifest plus JSON-LD schema bundle for AI agent consumption
Price / call$0.01
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://mesh.agentdiet.dev/v1/llms-txt)
Output
Returns a structured /llms.txt manifest and JSON-LD schema bundle derived from the crawled website, formatted for direct ingestion by AI agents and LLM-based tools. The output includes organized documentation sections, key links, and machine-readable metadata compliant with the /llms.txt standard.
Example use cases
Onboard third-party SaaS docs for an agent
“Grab the documentation from https://docs.notion.so and compile a ready-to-consume /llms.txt manifest so my agent can understand Notion's API without me manually summarizing it.”
Make my own docs agent-discoverable
“My product docs live at https://docs.myapp.com — can you crawl them and generate a standards-compliant /llms.txt manifest and JSON-LD schema bundle I can host at the root of my site?”
Prep competitor docs for benchmarking agent
“Crawl https://docs.linear.app and produce an /llms.txt context bundle so my research agent can compare Linear's feature set against our own product documentation.”
Technical details
Endpoint
GEThttps://mesh.agentdiet.dev/v1/llms-txt?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to rapidly convert any external documentation or SaaS website into an AI-agent-consumable /llms.txt manifest without manual effort. It is especially useful when onboarding third-party tools into an agent workflow, preparing your own docs for LLM discovery, or when you need JSON-LD structured metadata alongside the manifest. Prefer this over manual summarization or generic web scrapers when standards compliance and token efficiency for agent context windows matter.
Side effects
- URL is unreachable or returns non-200 HTTP status — crawl fails with error
- Target site blocks crawlers via robots.txt or Cloudflare challenge — partial or empty output
- Malformed or non-URL input — validation error returned
- Site has no meaningful text content — sparse or minimal manifest generated
- Payment not fulfilled (x402) — 402 Payment Required response before content is returned
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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