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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 github-audit.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://github-audit.agentdiet.dev/v1/agent-manifest)
Output
Returns a standards-compliant /llms.txt manifest file and an accompanying JSON-LD schema bundle derived from crawling the submitted website, structured for direct consumption by AI agents and LLM-based systems.
Example use cases
AI-ready docs for a SaaS product
“Crawl the docs at https://docs.linear.app and generate a standards-compliant /llms.txt manifest so that AI agents can discover and understand Linear's API capabilities.”
Agent onboarding for internal tooling
“Take our internal developer docs at https://docs.mycompany.internal and compile an llms.txt manifest and JSON-LD bundle so our agent fleet can automatically understand what tools are available.”
Making a third-party API agent-accessible
“I want to use Twilio's API in my agent pipeline — can you crawl https://www.twilio.com/docs and generate a ready-to-consume /llms.txt context file I can point my agents to?”
Technical details
Endpoint
GEThttps://github-audit.agentdiet.dev/v1/agent-manifest?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to quickly make any documentation or SaaS website consumable by AI agents without manually writing an /llms.txt file. It is ideal for agent pipelines that need to onboard new tools dynamically, for developers wanting to expose their docs in the emerging /llms.txt standard, or for AI systems that need structured JSON-LD context from third-party services.
Side effects
- Invalid or unreachable URL returns an error
- Private/authenticated documentation sites behind login walls cannot be crawled
- Very large documentation sites may produce truncated or incomplete manifests
- Sites with aggressive bot-blocking may fail to crawl
- Malformed URLs (missing protocol, typos) trigger input validation errors
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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