api.datumbox.com

{
  "service_type": "platform",
  "base_url": "https://api.datumbox.com",
  "auth_method": "api_key",
  "auth_config": {
    "parameter_name": "api_key",
    "location": "request_body_or_query",
    "notes": "Datumbox requires an API key issued upon signup; typically passed as a form/query parameter in requests to api.datumbox.com"
  },
  "endpoints": [],
  "pricing_model": {
    "type": "freemium",
    "details": {
      "notes": "Datumbox offers a free tier with rate-limited API access and paid subscription plans for higher volume; exact tiers not enumerated in provided content"
    }
  },
  "rate_limits": {},
  "capabilities": [
    "sentiment analysis",
    "topic classification",
    "text classification",
    "readability assessment",
    "language detection",
    "natural language processing functions",
    "machine learning classifiers (14 classifiers)"
  ],
  "raw_analysis": "Datumbox (datumbox.com) is a machine learning and natural language processing platform exposed primarily through an API at api.datumbox.com. It provides a suite of 14 classifiers covering tasks such as sentiment analysis, topic classification, readability assessment, and language detection. It targets developers and organizations needing turnkey NLP/ML classification without building models themselves. The platform is a hosted/managed API service rather than a self-hosted development environment, with an API-key based auth model and freemium pricing. Public documentation historically describes REST-style calls to api.datumbox.com with an api_key parameter. Endpoints and explicit rate-limit values were not included in the provided content, so they remain unspecified here."
}

1/3 tests passed

{
  "overall": 58,
  "dimensions": {
    "token_efficiency": 7.0,
    "first_try_success": 6.0,
    "response_parseability": 7.0,
    "error_clarity": 5.0,
    "doc_quality": 6.0,
    "auth_simplicity": 6.0,
    "latency": 9.0,
    "consistency": 3.0
  },
  "pricing_normalized": {
    "model": "freemium",
    "free_tier": true,
    "notes": "Free tier with rate-limited API access; paid tiers for higher volume but details not enumerated on provided pages"
  },
  "issues": [
    "Main website endpoint returned HTTP 500 during uptime check — indicates instability or a transient server error",
    "No /llms.txt file (500 error), reducing agent-readability",
    "No security headers (HSTS, X-Frame-Options, etc.) detected",
    "Exact pricing tiers and rate limits not exposed in the analyzed content, making cost projection hard",
    "14 classifiers but no explicit per-endpoint docs or error-code reference surfaced in the provided content"
  ],
  "recommendations": [
    "Add llms.txt and an OpenAPI spec so agents can discover endpoints programmatically",
    "Publish explicit pricing/quotas per tier to improve planning for agent recommendations",
    "Fix the 500 error on the homepage and add a status page for uptime transparency",
    "Add standard security headers and document rate-limit responses (e.g., 429 semantics)",
    "Provide a quickstart with copy-paste code samples for the top 3-5 classifiers to improve first-try success"
  ]
}