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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 alpha-stream.agentdiet.dev, paid per call via MPP, $0.01/call, status unknown (last checked 2026-10-21).
Crawls any documentation or SaaS site URL 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://alpha-stream.agentdiet.dev/v1/agent-manifest)
Output
A standards-compliant /llms.txt manifest and JSON-LD schema bundle derived from crawling the provided URL. The manifest is formatted for direct consumption by AI agents and LLM pipelines, summarizing the site's documentation structure, key pages, and semantic metadata in a machine-readable format.
Example use cases
Make API docs agent-readable
“I want AI agents to be able to easily consume our developer docs — can you crawl https://docs.acme.com and compile a standards-compliant /llms.txt manifest and JSON-LD schema bundle for it?”
SaaS onboarding for agent pipelines
“We're building an agent that needs to understand our SaaS product at https://app.notion.so — crawl that site and produce an llms.txt manifest so the agent has structured context about what Notion offers.”
Open-source project documentation packaging
“Can you hit https://langchain.readthedocs.io, crawl the documentation, and give me a ready-to-use /llms.txt file and JSON-LD schema bundle I can serve from our repo?”
Technical details
Endpoint
GEThttps://alpha-stream.agentdiet.dev/v1/agent-manifest?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to automatically generate an /llms.txt manifest or JSON-LD agent documentation bundle from any public website or SaaS documentation page without manual authoring. It is especially useful when onboarding a new service into an agent pipeline and you need structured, machine-readable context about that service's capabilities. Prefer this over manual llms.txt authoring or generic web scrapers when you specifically need agent-standards-compliant output (llms.txt + JSON-LD).
Side effects
- Provided URL is unreachable or returns non-200 status — crawl fails with an error
- Site blocks crawlers via robots.txt or rate limiting — partial or empty manifest returned
- URL points to a login-gated or JavaScript-heavy SPA — limited extraction possible
- Malformed or non-documentation URL — low-quality or empty manifest
- Response schema is a generic object with no guaranteed fields, so output structure may vary
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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