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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 website and generates a standards-compliant /llms.txt manifest plus a 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://onchain-risk.agentdiet.dev/v1/agent-manifest)
Output
Returns a structured object containing a standards-compliant /llms.txt manifest and a JSON-LD schema bundle derived from crawling the provided website URL, ready for direct consumption by AI agents and LLMs.
Example use cases
Making API docs AI-agent ready
“Crawl https://docs.openai.com and compile a standards-compliant /llms.txt manifest with a JSON-LD schema bundle so my AI agents can understand and use OpenAI's documentation directly.”
SaaS onboarding context for agents
“Take https://www.notion.so/help and generate an /llms.txt manifest and JSON-LD schema bundle from it — I want my agent to be able to answer user onboarding questions using Notion's own help content.”
Internal tool documentation indexing
“Can you crawl https://docs.mycompany.internal/api and produce a ready-to-consume /llms.txt file and JSON-LD schema bundle so our internal AI assistant can reference the latest documentation?”
Technical details
Endpoint
GEThttps://onchain-risk.agentdiet.dev/v1/agent-manifest?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to rapidly make any external documentation or SaaS website consumable by AI agents in a standards-compliant format (/llms.txt + JSON-LD), especially when you don't have time to manually author agent context files. It is particularly useful for indexing third-party docs, building agent knowledge bases from live websites, or preparing documentation for MCP/A2A discovery pipelines.
Side effects
- Invalid or unreachable URL returns an error indicating the site could not be crawled
- Protected or paywalled documentation sites may return incomplete or empty manifests
- Very large documentation sites may time out or return partial results
- Non-documentation URLs (e.g. plain landing pages) may produce sparse or low-quality manifests
- 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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