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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 shopify-spy.agentdiet.dev, paid per call via MPP, $0.01/call, status unknown.
Crawls any documentation or SaaS site URL 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://shopify-spy.agentdiet.dev/v1/llms-txt-compiler)
Output
Returns a standards-compliant /llms.txt manifest and a JSON-LD schema bundle derived from crawling the target website, structured for direct consumption by AI agents and LLM-based tools.
Example use cases
LLM-ready manifest for SaaS docs
“Generate an /llms.txt manifest and JSON-LD schema for https://docs.notion.so so I can make Notion's documentation indexable by AI agents.”
Agent onboarding for internal wiki
“Crawl our internal docs site at https://docs.acme-corp.com and produce a standards-compliant /llms.txt file so our AI agent fleet can discover what tools and APIs are available.”
Third-party API context for agent
“I need an agent-ready context bundle for https://platform.openai.com/docs — can you crawl it and compile the /llms.txt manifest so my coding agent can reference it directly?”
Technical details
Endpoint
GEThttps://shopify-spy.agentdiet.dev/v1/llms-txt-compiler?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to quickly generate a machine-readable /llms.txt manifest and JSON-LD context bundle from any existing documentation or SaaS website without manually authoring the file. It is ideal for AI agent pipelines that need to onboard new tools, index third-party APIs, or make any web-based documentation discoverable by LLMs at low cost ($0.01/call).
Side effects
- Invalid or unreachable URL returns an error with no manifest
- Sites with aggressive bot-blocking or CAPTCHAs may return incomplete or empty content
- Very large documentation sites may produce truncated manifests
- Missing required 'url' query parameter returns a validation error
- Non-documentation pages may yield low-signal or poorly structured 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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