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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 preflight.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://preflight.agentdiet.dev/v1/agent-manifest)
Output
Returns a standards-compliant /llms.txt manifest and a JSON-LD schema bundle compiled from crawling the provided URL. The manifest is structured for direct AI agent consumption, containing organized documentation context, links, and machine-readable metadata about the site's content and capabilities.
Example use cases
Make API docs agent-readable
“Crawl https://docs.openai.com and compile a ready-to-use /llms.txt manifest and JSON-LD bundle so my AI agents can consume the OpenAI documentation without hallucinating about the API.”
Generate llms.txt for SaaS product
“Take https://www.notion.so and generate a standards-compliant /llms.txt manifest for it — I want to give my agent accurate context about Notion's features and capabilities.”
Bootstrap agent context for internal wiki
“Crawl https://wiki.mycompany.com and produce a /llms.txt and JSON-LD schema bundle so I can feed structured documentation context directly into my AI agent workflow.”
Technical details
Endpoint
GEThttps://preflight.agentdiet.dev/v1/agent-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 from any existing documentation or SaaS site without manually authoring the file. It is ideal for developers who want to make their product AI-agent-friendly quickly, or for agents that need to ingest structured context about a third-party service. Prefer this over generic web scrapers when the goal is specifically producing agent-consumable manifests in the /llms.txt format rather than raw content extraction.
Side effects
- Invalid or unreachable URL returns an error with no manifest generated
- Private or authentication-gated sites may yield incomplete or empty content
- Very large documentation sites may result in truncated manifests
- Non-documentation pages may produce sparse or low-quality JSON-LD output
- Rate limits or crawl blocks by the target site may cause failures
- Malformed URL input 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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