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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 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/agent-manifest)
Output
Returns a standards-compliant /llms.txt manifest and a JSON-LD schema bundle compiled from the crawled website, formatted for direct consumption by AI agents and LLM-based tools. The output encodes the site's documentation structure, key endpoints, and semantic metadata in a compact, agent-ready format.
Example use cases
Agent-ready docs for SaaS product
“Crawl https://docs.linear.app and generate an /llms.txt manifest and JSON-LD schema bundle so my AI agent can understand Linear's full API documentation without me having to summarize it manually.”
Open-source library agent context
“Can you compile an agent manifest from https://docs.pydantic.dev so I can feed it directly into my coding assistant as structured context?”
Competitor documentation intelligence
“Crawl https://docs.intercom.com and produce an /llms.txt-compliant manifest so I can compare their feature documentation against our own in a structured, agent-parseable format.”
Technical details
Endpoint
GEThttps://json-repair.agentdiet.dev/v1/agent-manifest?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to make an existing documentation or SaaS site consumable by AI agents without manually authoring an /llms.txt file. It is particularly valuable for quickly onboarding third-party APIs, competitor docs, or open-source libraries into an agent's context. Prefer it over manual summarization when you need structured, standards-compliant output (JSON-LD + /llms.txt) rather than plain text extraction.
Side effects
- Invalid or unreachable URL returns an error with no manifest
- Sites with JavaScript-heavy rendering may produce incomplete crawls
- Paywalled or login-gated documentation pages return partial or empty context
- Very large documentation sites may time out or produce truncated output
- Robots.txt restrictions may block crawling and result in empty results
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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