ClickMeter

{
  "service_type": "platform",
  "base_url": "https://clickmeter.com",
  "auth_method": "api_key",
  "auth_config": {
    "header": "ApiKey",
    "location": "header"
  },
  "endpoints": [
    {
      "path": "/api/v1/",
      "description": "Base endpoint for ClickMeter REST API (requires authentication)"
    },
    {
      "path": "/api/v1/links",
      "description": "Manage and retrieve marketing links"
    },
    {
      "path": "/api/v1/conversions",
      "description": "Track and manage conversions"
    },
    {
      "path": "/api/v1/domains",
      "description": "Manage custom domains and tracking domains"
    },
    {
      "path": "/api/v1/users",
      "description": "Manage user accounts and access"
    },
    {
      "path": "/api/v1/datasets",
      "description": "Access aggregated analytics and reports"
    }
  ],
  "pricing_model": {
    "type": "subscription",
    "details": {
      "free_tier": false,
      "plans": ["Starter", "Pro", "Business", "Enterprise"],
      "pricing_tiers": "Based on volume of clicks/links and features; custom pricing for enterprise"
    }
  },
  "rate_limits": {
    "limits_unknown": true,
    "api_calls": "Refer to official documentation for specific rate limit policies"
  },
  "capabilities": [
    "Link tracking and analytics",
    "Conversion tracking",
    "A/B testing of marketing links",
    "Custom domains and branded links",
    "Real-time click monitoring",
    "Reporting and data exports",
    "Integration with marketing tools (e.g., Google Analytics, Zapier)",
    "User and team management",
    "API access for data automation"
  ],
  "raw_analysis": "ClickMeter is a mature SaaS platform focused on link management and marketing analytics. It allows users to create, track, and optimize marketing links across campaigns. The service provides detailed click-through metrics, conversion tracking, and A/B testing capabilities. It is designed for digital marketers, affiliate managers, and agencies looking to measure campaign performance. The platform offers a subscription-based pricing model with multiple tiers, starting from a paid Starter plan. It has a well-documented REST API for programmatic access, but authentication requires an API key. The provided URL points to support documentation, indicating a robust help center. While specific rate limits are not published in this context, the API is intended for regular use. Integrations with common marketing tools exist, and the platform supports custom domains for branded links. Overall, it is a credible and feature-rich tool for link performance optimization."
}

3/3 tests passed

```json
{
  "overall": 45,
  "dimensions": {
    "token_efficiency": 7.0,
    "first_try_success": 4.0,
    "response_parseability": 6.0,
    "error_clarity": 5.0,
    "doc_quality": 5.5,
    "auth_simplicity": 6.0,
    "latency": 9.0,
    "consistency": 4.0
  },
  "pricing_normalized": {
    "free_tier": null,
    "entry_price_usd": null,
    "model": "subscription",
    "notes": "No free tier; paid plans start at Starter but pricing not disclosed publicly; enterprise custom pricing"
  },
  "issues": [
    "No free tier — users must pay to evaluate the service, increasing friction for agents",
    "Pricing tiers and exact costs not disclosed on the landing page — poor transparency for cost-sensitive recommendations",
    "All three checks (website, robots.txt, llms.txt) returned identical HTML content — suggests robots.txt and llms.txt are not properly configured (likely serving index.html instead of actual files)",
    "No llms.txt file detected — platform not optimized for AI agent discovery/evaluation",
    "No obvious docs/API reference visible in the landing page response — likely requires manual navigation to find documentation"
  ],
  "recommendations": [
    "Implement proper llms.txt file to expose capabilities, API docs, and pricing to AI agents",
    "Add a free tier or sandbox mode for agents to test link creation and analytics without payment",
    "Publish clear pricing tiers with exact costs on the website",
    "Ensure robots.txt and llms.txt return actual file content rather than HTML responses",
    "Create agent-friendly API documentation with code samples and rate limits clearly stated"
  ]
}
```