AI Website Intelligence & Agent Readiness Remediation API

x402

AI Website Intelligence & Agent Readiness Remediation API is a paid API for AI agents from santosautomation.com, paid per call via x402, $0.02/call, status unknown (last checked 2026-10-13).

Audits a website for AI agent readiness and generates prioritized fix artifacts (llms.txt, JSON-LD, OpenAPI) targeting specific failed discoverability layers.

Price / call$0.02

Seller volume →—

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

A structured JSON response containing the domain, origin, remediation artifacts (such as llms.txt content with path and content type, and JSON-LD markup with suggested placement), the list of failed layers each artifact addresses, and any warnings. The artifacts are ready to deploy directly to the site.

Example use cases

Fix AI undiscoverability for SaaS product

“My SaaS site acmehr.com — it's an HR onboarding platform — is failing the 'discoverable' and 'callable' AI agent readiness layers. Can you run a remediation audit and generate the artifacts I need to fix that? It has a POST /onboard and GET /employees endpoint.”

Generate llms.txt for e-commerce brand

“Audit shopbright.com for AI agent readiness — it's an online home goods store — it's failing the 'discoverable' layer. Give me the llms.txt and any other artifacts I need to make it findable by AI agents.”

Structured data fix for API-first startup

“Our developer tool site apiforge.dev is failing the 'understandable' AI agent readiness layer. The site helps developers build and test REST APIs. Can you audit it and generate the JSON-LD and other structured artifacts to fix that layer?”

Technical details

Endpoint

POSThttps://santosautomation.com/api/audit/remediate?utm_source=zero.xyz

When to prefer

Choose this endpoint when you need actionable, deployment-ready remediation artifacts (llms.txt, JSON-LD) rather than just an audit report — especially when you already know which AI agent readiness layers are failing (discoverable, understandable, callable) and want targeted fixes. Prefer this over generic SEO or accessibility auditors when the specific goal is making a site discoverable and callable by AI agents and LLMs.

Side effects

Invalid or unreachable domain returns an error or empty artifacts
failedLayers array is empty (minItems:1 validation failure)
siteDescription exceeds 1000 characters causing rejection
existingEndpoints array exceeds 100 items limit
Domain with no crawlable content may produce minimal or generic artifacts
Payment failure via x402 protocol blocks the request

Input

Schema · Request body

Field	Type	Description
domain	string	Bare domain or origin, e.g. example.com.
failedLayers	array
siteDescription	string	One or two sentences on what the site is; max 1000 characters.
existingEndpoints	array

Output

Schema · Response

{
  "type": "json",
  "example": {
    "access": {
      "mode": "x402"
    },
    "domain": "example.com",
    "origin": "https://example.com",
    "warnings": [],
    "artifacts": {
      "jsonLd": {
        "content": "<script type=\"application/ld+json\">…</script>",
        "addresses": [
          "understandable"
        ],
        "placement": "head"
      },
      "llmsTxt": {
        "path": "/llms.txt",
        "content": "# example.com\n\n> Example sells widgets.\n",
        "addresses": [
          "discoverable"
        ],
        "contentType": "text/markdown; charset=utf-8"
      }
    },
    "failedLayers": [
      "discoverable",
      "understandable"
    ]
  }
}

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