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AI Website Intelligence & Agent Readiness API (Santos)
x402
AI Website Intelligence & Agent Readiness API (Santos) is a paid API for AI agents from api.santosautomation.com, paid per call via x402, $0.08/call, status unknown (last checked 2026-09-13).
Audits any website URL for AI agent readiness, MCP support, llms.txt, OpenAPI presence, SEO, accessibility, and security, returning structured JSON with evidence and prioritized fixes.
Price / call$0.08
Success—
StatusUnknown
How this service works
Audit any website for AI Agent Readiness, MCP, llms.txt, OpenAPI, SEO, accessibility and security. Structured JSON with evidence and prioritized fixes.
Output
Returns a structured JSON object containing the target URL, fetched page data, AI agent readiness indicators (MCP support, llms.txt presence, OpenAPI detection), SEO findings, accessibility issues, security findings, prioritized fix recommendations, HTTP status, fetch and LLM timing metrics, and schema version metadata.
Example use cases
AI readiness check before launch
“Before we launch our new product site at https://myproduct.io, can you audit it for AI agent readiness — check if we have llms.txt, MCP support, OpenAPI, and flag any SEO or accessibility issues with a fix priority list?”
Competitor AI capability benchmarking
“I want to know how AI-ready our competitor's site openai.com is — can you audit it for MCP, llms.txt, OpenAPI presence, security posture, and SEO, and give me the structured findings?”
Client website health report
“Can you run a full AI agent readiness and web health audit on https://clientsite.com for me? I need to know about their llms.txt, MCP support, OpenAPI, SEO gaps, accessibility issues, and any security problems, with prioritized recommendations.”
Technical details
Endpoint
POSThttps://api.santosautomation.com/v1/extract/structuredWhen to prefer
Choose this endpoint when you need a comprehensive, structured audit of a specific website covering AI agent readiness (MCP, llms.txt, OpenAPI), SEO, accessibility, and security in a single call with prioritized fix recommendations. Prefer it over general web scrapers when you specifically need AI-readiness signals or want evidence-backed findings rather than raw HTML. It is particularly valuable for developers, agencies, or AI agents that need to assess or compare websites for modern AI integration standards.
Side effects
- Target URL is unreachable or returns non-200 HTTP status — audit may fail or return partial results
- Website blocks crawlers or headless browsers — fetch may fail or return incomplete data
- Very large or JavaScript-heavy pages may increase timing_ms significantly
- Invalid or malformed URL input causes request rejection
- Rate limiting or payment failure (x402) prevents the call from completing
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| url | string | Public HTTP or HTTPS page to extract structured data from. |
| schema | object | A caller-supplied JSON Schema (type: object, self-contained, no $ref) describing the fields to extract. |
Output
Schema · Response
{
"type": "json",
"example": {
"url": "https://example.com/product/123",
"data": {
"price": 49.99,
"in_stock": true
},
"model": "claude-sonnet-5",
"final_url": "https://example.com/product/123",
"timing_ms": {
"llm": 1800,
"fetch": 120,
"total": 1950
},
"fetched_at": "2026-01-01T00:00:00.000Z",
"http_status": 200,
"schema_version": "1.0.0"
}
}Tags
x402
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