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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 x402-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://x402-audit.agentdiet.dev/v1/discovery-manifest)
Output
A standards-compliant /llms.txt manifest file and a JSON-LD schema bundle derived from crawling the provided website, formatted for direct consumption by AI agents and LLM-powered tools. The response object contains the structured documentation context, agent-readable summaries, and schema metadata extracted from the target site.
Example use cases
Making SaaS docs AI-agent accessible
“Can you crawl https://docs.linear.app and compile an llms.txt manifest for it so my AI agents can easily load and query the Linear documentation without token bloat?”
Bootstrapping agent context for internal tools
“Crawl our internal developer portal at https://developers.acme.com and generate a ready-to-consume /llms.txt and JSON-LD schema bundle I can serve from our domain for AI agent discovery.”
Auditing competitor docs for agent readiness
“Pull together an llms.txt manifest for https://docs.notion.so — I want to see what an AI agent would get when it tries to understand the Notion API from that documentation site.”
Technical details
Endpoint
GEThttps://x402-audit.agentdiet.dev/v1/discovery-manifest?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to programmatically generate a machine-readable /llms.txt manifest and JSON-LD schema from any existing documentation or SaaS website without manual authoring. It is especially useful when onboarding a new tool or service into an AI agent workflow and you need structured context that an LLM can consume efficiently. Prefer this over manual llms.txt authoring or generic web scrapers when you need standards-compliant output specifically formatted for agent discovery.
Side effects
- Invalid or unreachable URL returns an error — target site must be publicly accessible
- Heavily JavaScript-rendered pages may yield incomplete content if the crawler cannot execute JS
- Very large documentation sites may time out or return partial manifests
- Sites with aggressive bot-blocking or CAPTCHAs may fail to crawl
- Malformed or non-documentation URLs may produce low-quality or empty manifests
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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