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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 onchain-risk.agentdiet.dev, paid per call via MPP, $0.01/call, status unknown (last checked 2026-10-21).
Crawls any documentation or SaaS site URL and returns a standards-compliant /llms.txt manifest plus a JSON-LD schema bundle ready for LLM 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://onchain-risk.agentdiet.dev/v1/agent-card)
Output
Returns a standards-compliant /llms.txt manifest and a JSON-LD schema bundle representing the crawled site's documentation structure, formatted for direct consumption by LLMs and AI agents.
Example use cases
LLM-ready docs for a SaaS product
“Take the docs at https://docs.linear.app and generate a compliant /llms.txt manifest and JSON-LD schema bundle so my AI agent can understand Linear's features and API.”
Agent context file for open-source library
“Crawl https://docs.langchain.com and compile an /llms.txt manifest for it — I want AI coding assistants to be able to reference LangChain's documentation natively.”
MCP-compatible context for internal wiki
“Point the crawler at https://wiki.mycompany.com and build a standards-compliant /llms.txt and JSON-LD bundle so our internal AI agents can use the wiki as a knowledge source.”
Technical details
Endpoint
GEThttps://onchain-risk.agentdiet.dev/v1/agent-card?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to make any documentation or SaaS website machine-readable for LLM agents by producing a standards-compliant /llms.txt manifest and JSON-LD schema. It is especially useful for bootstrapping MCP or A2A integrations, onboarding AI agents to unfamiliar APIs, or publishing agent-friendly context without manual authoring.
Side effects
- Invalid or unreachable URL returns an error response
- Site blocks crawlers (robots.txt or rate limiting) may result in incomplete manifests
- Very large documentation sites may time out or return partial results
- Non-documentation pages may yield low-quality or sparse manifests
- Paywalled or login-gated content cannot be crawled and will be missing from the output
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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