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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 hn-pulse.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://hn-pulse.agentdiet.dev/v1/agent-manifest)
Output
A standards-compliant /llms.txt manifest and a JSON-LD schema bundle derived from crawling the target website. The output provides AI agents with a structured, machine-readable representation of the site's documentation, API capabilities, and semantic metadata — enabling agents to consume the site's content without re-crawling or hallucinating structure.
Example use cases
AI-ready docs for a SaaS product
“Please crawl https://docs.notion.so and compile an /llms.txt manifest with JSON-LD schemas so my AI agent can reference Notion's documentation without hallucinating API details.”
Open-source project agent context
“Can you generate an /llms.txt manifest for https://langchain.readthedocs.io so other agents in my pipeline can discover and understand LangChain's capabilities automatically?”
Internal tool documentation packaging
“I need to make our internal developer portal at https://dev.acmecorp.com/docs discoverable by AI agents — can you crawl it and produce a standards-compliant /llms.txt and JSON-LD schema bundle?”
Technical details
Endpoint
GEThttps://hn-pulse.agentdiet.dev/v1/agent-manifest?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to make any external documentation or SaaS site immediately consumable by AI agents via a standards-compliant /llms.txt manifest. It is ideal when you want to avoid manually authoring llms.txt files, when onboarding a new tool into an agent pipeline, or when you need JSON-LD schema bundles alongside the manifest. Prefer this over manual documentation ingestion when the target site changes frequently or when you need a single-call, structured output that conforms to emerging agent-web standards.
Side effects
- Invalid or unreachable URL returns an error with no manifest
- Sites with heavy JavaScript rendering may yield incomplete crawl results
- Password-protected or bot-blocked sites may fail to crawl
- Very large documentation sites may produce truncated or partial manifests
- Malformed URL input causes a validation error
- Sites without structured content may yield low-quality JSON-LD output
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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