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Santos AI Website Intelligence & Agent Readiness API
x402
Santos AI Website Intelligence & Agent Readiness API is a paid API for AI agents from santosautomation.com, paid per call via x402, $0.08/call, status unknown (last checked 2026-09-15).
Audits any website URL for AI agent readiness, MCP support, llms.txt, OpenAPI specs, 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 audited URL, extracted data fields covering AI agent readiness indicators (MCP support, llms.txt presence, OpenAPI spec detection), SEO findings, accessibility issues, security observations, prioritized remediation recommendations, the model used for analysis, HTTP status, fetch and LLM timing metrics, and a schema version identifier.
Example use cases
Competitor AI readiness benchmarking
“Audit openai.com and tell me whether it has llms.txt, MCP support, an OpenAPI spec, and how it scores on SEO and accessibility — I want to benchmark it against our own site.”
Pre-launch agent compatibility check
“Before we launch, can you audit our site at mybrand.ai for AI agent readiness? I need to know if llms.txt and MCP are in place, and what the top security and accessibility issues are to fix first.”
Client website AI readiness report
“I need a full structured audit of clientsite.com covering AI agent readiness, OpenAPI detection, llms.txt, SEO, accessibility, and security — with evidence and a prioritized list of what to fix.”
Technical details
Endpoint
POSThttps://santosautomation.com/v1/extract/structuredWhen to prefer
Choose this endpoint when you need a comprehensive, multi-dimensional audit of a public website covering AI agent readiness signals (MCP, llms.txt, OpenAPI), SEO, accessibility, and security in a single call with structured JSON output and evidence. Prefer it over generic scraping endpoints when you specifically need AI readiness signals, or over standalone SEO/accessibility tools when you want all these dimensions consolidated with prioritized fixes.
Side effects
- Target URL is unreachable or returns non-200 HTTP status — audit may be incomplete or fail
- Website blocks crawlers/headless browsers — fetch step may return empty or partial content
- LLM analysis timeout if the page is extremely large — timing_ms.total will be high and partial results may be returned
- Invalid or malformed URL input — API returns an error without performing the audit
- Private/intranet URLs not accessible from the API's network — fetch will fail
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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