Hunter

```json
{
  "service_type": "platform",
  "base_url": "https://hunter.io",
  "auth_method": "api_key",
  "auth_config": {
    "key_location": "header",
    "key_name": "Authorization"
  },
  "endpoints": [
    "/v2/domain-search",
    "/v2/email-finder", 
    "/v2/email-verifier",
    "/v2/author-finder",
    "/v2/email-count",
    "/v2/account"
  ],
  "pricing_model": {
    "type": "freemium", 
    "details": {
      "free_tier": "25 requests per month",
      "paid_plans": "Usage-based pricing starting around $49/month",
      "billing_model": "monthly_subscription_with_usage_limits"
    }
  },
  "rate_limits": {
    "requests_per_second": "~10",
    "monthly_quotas": "varies by plan"
  },
  "capabilities": [
    "domain_email_search",
    "professional_email_discovery", 
    "email_address_verification",
    "email_deliverability_checking",
    "author_email_finding",
    "company_email_pattern_detection",
    "bulk_email_verification",
    "lead_generation",
    "sales_prospecting_support",
    "recruitment_email_finding"
  ],
  "raw_analysis": "Hunter.io is a mature email intelligence platform primarily designed for sales teams, recruiters, and marketers who need to find and verify professional email addresses. The service excels at discovering email patterns within organizations, finding contact information for specific individuals at companies, and verifying email deliverability before outreach campaigns. It's particularly valuable for B2B prospecting workflows where finding the right contact person is critical. The platform offers both web interface and REST API access, making it suitable for both manual research and automated lead generation pipelines. Hunter has strong data coverage across millions of domains and maintains high accuracy rates for email verification. The service integrates well with CRM systems and sales automation tools. It's GDPR compliant and includes features for respecting email privacy preferences. The freemium model makes it accessible for small teams while usage-based pricing scales for enterprise needs."
}
```

2/3 tests passed

{"multi_model": true, "models_used": ["openai", "claude_cli"], "model_scores": {"GPT-4o": {"overall": 82, "dimensions": {"token_efficiency": 9.0, "first_try_success": 8.0, "response_parseability": 9.5, "error_clarity": 7.0, "doc_quality": 7.0, "auth_simplicity": 8.0, "latency": 9.0, "consistency": 8.0}}, "Claude CLI": {"overall": 82, "dimensions": {"token_efficiency": 9.0, "first_try_success": 8.0, "response_parseability": 8.5, "error_clarity": 7.0, "doc_quality": 7.0, "auth_simplicity": 8.0, "latency": 9.0, "consistency": 8.0}}}, "averaged": true}