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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 website and generates a standards-compliant /llms.txt manifest plus JSON-LD schema bundle for AI 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/discovery-manifest)
Output
Returns a standards-compliant /llms.txt manifest and JSON-LD schema bundle derived from crawling the supplied URL, containing structured agent-readable documentation context, endpoint descriptions, and discovery metadata ready for AI agent consumption.
Example use cases
Make SaaS docs AI-agent discoverable
“I just launched a new developer product at docs.myapi.io — can you crawl it and generate a proper /llms.txt manifest with JSON-LD schema so AI agents can find and understand what my API does?”
Audit competitor's agent discoverability
“Crawl the documentation site at https://docs.twilio.com and compile an /llms.txt and JSON-LD schema bundle for it — I want to see how agent-ready their docs are and use it as a benchmark.”
Bootstrap agent context for internal tooling
“We have an internal knowledge base at https://wiki.acmecorp.internal/api-docs — can you generate an /llms.txt manifest from it so our AI agents can automatically load the right context when they need to call our internal APIs?”
Technical details
Endpoint
GEThttps://json-repair.agentdiet.dev/v1/discovery-manifest?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to automatically generate a standards-compliant /llms.txt manifest and JSON-LD schema bundle from any existing website or documentation portal without manual authoring. It is ideal for bootstrapping AI agent discoverability for SaaS products, developer documentation sites, or internal wikis. Prefer this over manual llms.txt authoring when the target site is large or frequently updated.
Side effects
- Invalid or unreachable URL returns an error with no manifest generated
- Site with aggressive bot-blocking or CAPTCHA walls may yield incomplete or empty results
- Very large documentation sites may produce truncated manifests
- Malformed HTML or JavaScript-only rendered pages may reduce extraction quality
- Missing required 'url' parameter returns a validation error
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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