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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 workflows.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 and 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://workflows.agentdiet.dev/v1/agent-card)
Output
Returns a standards-compliant /llms.txt manifest and JSON-LD schema bundle compiled from the crawled website, structured for direct consumption by AI agents and LLM-based systems. The output includes organized documentation context, page hierarchy, and schema metadata derived from the target site.
Example use cases
AI-ready docs for a SaaS product
“Crawl https://docs.linear.app and produce an /llms.txt manifest so our AI agent can quickly understand the full structure and capabilities of the Linear API without reading every page.”
Bootstrap agent context for an open-source library
“Take https://docs.langchain.com and compile a ready-to-use /llms.txt and JSON-LD schema bundle — I want to give an AI agent instant structured context about LangChain's documentation.”
Competitor documentation intelligence
“Crawl https://docs.notion.so and generate an /llms.txt manifest from their documentation so I can feed it into my agent as structured context about how Notion works.”
Technical details
Endpoint
GEThttps://workflows.agentdiet.dev/v1/agent-card?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to programmatically make any website or documentation portal consumable by AI agents in the /llms.txt standard format. It is ideal for bootstrapping agent context files for SaaS products, open-source libraries, or any URL-addressable documentation, especially when you want both /llms.txt and JSON-LD output in a single call. Prefer this over manual llms.txt authoring or generic web scrapers when the goal is specifically agent-readable structured documentation output.
Side effects
- Invalid or unreachable URL returns an error with no manifest generated
- Private or auth-gated documentation sites cannot be crawled and will fail
- Heavily JavaScript-rendered pages may result in incomplete content extraction
- Rate-limited or bot-protected sites may block the crawler
- Malformed URLs or missing required 'url' parameter return a validation error
- Very large documentation sites may produce truncated 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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