Sanitized product output · illustrative target

Explore a sample Agent Readiness report

This realistic example demonstrates the report structure without representing a customer, testimonial, certification, or live result. Exact values vary with the target and completed tests.

AI Website Intelligence Score

82
Website Intelligence
91
Discoverable
78
Understandable
73
Callable
86
Trustworthy

Applicability: API and MCP checks tested · 36 tests executed · 3 not applicable · 1 not tested · 90% weighted evidence coverage · confidence 0.91

Observed evidence

Passed

OpenAPI document discovered and parsed

https://example.com/openapi.json returned 200 with a valid 3.1 document, canonical server, stable operation IDs, and typed responses.

Warning

MCP was advertised but no public registry record was confirmed

The endpoint and transport were documented. Registry evidence is optional preview infrastructure, so this remains a lower-confidence warning.

High priority

Machine-readable capability description was incomplete

The API was described, but no separate manifest summarized selection guidance, resource-scoped pricing, rate limits, and side effects.

Prioritized fix

Impact: high · Confidence: high · Effort: medium

Publish a versioned capability manifest that names each callable resource, canonical endpoint, input and output schema, billing unit, price, side effects, errors, limits, support, and terms. Link it from HTML or an HTTP Link header.

Sanitized JSON

{
  "website_intelligence_score": 82,
  "website_intelligence": {
    "schema_version": "1.0.0",
    "dimensions": {
      "discoverable": 91,
      "understandable": 78,
      "callable": 73,
      "trustworthy": 86
    },
    "coverage": {
      "tests_available": 40,
      "tests_executed": 36,
      "tests_not_applicable": 3,
      "tests_skipped": 1,
      "tested_percent": 90
    }
  },
  "agent_readiness": {
    "schema_version": "1.0.0",
    "profile": "api_provider",
    "score": 79,
    "grade": "C",
    "confidence": 0.91,
    "readiness_level": { "level": 3, "name": "Tool-invokable" }
  }
}

The production response also preserves established fields such as overall_score, scores, findings, interfaces, and limitations for existing clients.