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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 token-intel.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://token-intel.agentdiet.dev/v1/discovery-manifest)
Output
Returns a standards-compliant /llms.txt manifest and JSON-LD schema bundle compiled from the crawled website, structured so AI agents and LLMs can parse the site's capabilities, endpoints, and documentation context directly.
Example use cases
Onboard third-party API docs for agent
“Crawl the Twilio documentation site at https://www.twilio.com/docs and compile an llms.txt manifest and JSON-LD schema so my agent can discover and use their APIs automatically.”
Make internal SaaS docs agent-readable
“Take our company docs at https://docs.acme.io and generate a standards-compliant /llms.txt file and JSON-LD schema bundle I can serve to AI agents visiting our site.”
Bootstrap MCP context from competitor docs
“I need to understand what Notion's API can do — crawl https://developers.notion.com and build me an agent-ready discovery manifest with a proper llms.txt and JSON-LD schema bundle.”
Technical details
Endpoint
GEThttps://token-intel.agentdiet.dev/v1/discovery-manifest?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to quickly make any third-party documentation or SaaS site consumable by an AI agent without manually writing an llms.txt file. It is ideal for bootstrapping MCP or A2A integrations, enabling agent discovery of new tools, or preparing documentation context for LLM pipelines — especially when you don't control the target site.
Side effects
- Invalid or unreachable URL returns an error — ensure the target site is publicly accessible
- Heavily JavaScript-rendered sites may yield incomplete documentation extraction
- Rate-limited or bot-protected sites may block the crawl and return partial or empty results
- Very large documentation sites may result in truncated manifests
- Malformed URL input triggers 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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