FraudLabs Pro

{
  "service_type": "platform",
  "base_url": "https://www.fraudlabspro.com",
  "auth_method": "api_key",
  "auth_config": {
    "api_key_location": "query",
    "api_key_name": "key"
  },
  "endpoints": [
    {
      "path": "/api/order/screen",
      "method": "POST",
      "description": "Screens an order for fraud using AI and returns results (fraud status, score, reasons)."
    }
  ],
  "pricing_model": {
    "type": "freemium",
    "details": {
      "free_tier": "500 queries per month",
      "paid_plans": ["Starter", "Enterprise", "Custom"],
      "billing": "subscription monthly or yearly"
    }
  },
  "rate_limits": {
    "free_tier": "500 queries/month",
    "paid_plans": "varying from 2,500 to unlimited depending on plan"
  },
  "capabilities": [
    "AI-powered order screening",
    "Fraud scoring and risk assessment",
    "Custom rules engine",
    "IP address analysis",
    "Proxy/VPN detection",
    "Email domain validation",
    "Billing/shipping address validation",
    "Device fingerprinting",
    "Chargeback and blacklist checks",
    "Transaction history lookup"
  ],
  "raw_analysis": "FraudLabs Pro is a specialized fraud detection platform for e-commerce and payment processing, offering an AI-driven API to screen orders in real-time. The service is aimed at merchants and payment gateways that need to minimize chargebacks and fraudulent transactions. It provides a comprehensive set of screening tools, including IP analysis, proxy detection, address validation, and device fingerprinting, all combined into a single risk score. The platform is mature and widely used, with integrations for major e-commerce platforms like Shopify, WooCommerce, and Magento, as well as API access for custom solutions. The API is straightforward: a POST request to /api/order/screen with order details returns a fraud status and score. Authentication is via an API key passed as a query parameter. It offers a free tier for testing and light usage, with paid plans for higher volumes. The service is well-documented and actively maintained, making it a reliable choice for fraud prevention."
}

2/3 tests passed

{
  "overall": 58,
  "dimensions": {
    "token_efficiency": 7.5,
    "first_try_success": 6.5,
    "response_parseability": 7.0,
    "error_clarity": 5.5,
    "doc_quality": 6.0,
    "auth_simplicity": 6.0,
    "latency": 8.5,
    "consistency": 7.5
  },
  "pricing_normalized": {
    "free_queries_per_month": 500,
    "paid_plans": ["Starter", "Enterprise", "Custom"],
    "billing_cycle": "monthly_or_yearly"
  },
  "issues": [
    "No llms.txt file found (404) — makes it harder for agents to discover platform details automatically",
    "No security headers detected — potential concern for trust in a fraud prevention tool",
    "Pricing details vague (no specific amounts or feature breakdown for paid tiers)",
    "Auth method not explicitly stated; likely requires standard sign-up, may involve human verification steps"
  ],
  "recommendations": [
    "Add an llms.txt file to provide structured AI-readable documentation and API overview",
    "Publish clear pricing with feature comparisons to help agents evaluate value quickly",
    "Enable security headers (CSP, HSTS, etc.) to improve trustworthiness",
    "Streamline sign-up with SSO or magic link to reduce onboarding friction for agents"
  ]
}