80
/100
prowl
Benchmarked Aug 10, 2026

Nobel Prize

Open data about nobel prizes and events

data platform_profile
Benchmark Your API

Score Breakdown

Auth Simplicity 10/10
First-Try Success 9/10
Parseability 9/10
Consistency 8/10
Token Efficiency 8/10
Documentation 7/10
Latency 6/10
Error Clarity 6/10

Benchmark Analysis Log

Full LLM thinking from the 4-phase benchmark pipeline.

Analyze
{
  "service_type": "platform",
  "base_url": "https://www.nobelprize.org",
  "auth_method": "none",
  "auth_config": {},
  "endpoints": [
    {
      "path": "/about/developer-zone-2",
      "method": "GET",
      "description": "Developer zone page providing documentation and links to open data files."
    }
  ],
  "pricing_model": {
    "type": "free",
    "details": {
      "cost": "free",
      "notes": "Open data for public use, no licensing fee."
    }
  },
  "rate_limits": {},
  "capabilities": [
    "Open data access to Nobel Prize laureates, nominations, awards and events",
    "Static data files in JSON and CSV formats for download",
    "Historical data since 1901",
    "No authentication required, publicly accessible data",
    "Developer resources and documentation"
  ],
  "raw_analysis": "The Nobel Prize platform provides open data about Nobel laureates, prizes, and events, available through a developer zone. The data is primarily offered as downloadable static files in JSON and CSV formats, rather than a comprehensive RESTful API. This data is aimed at developers, researchers, educators, and journalists who want to integrate Nobel Prize histories into their applications or analyses. The platform is highly mature, as it is from an official, well-established institution with extensive documentation and historical data spanning over 100 years. Currently, the developer zone (page) provides access to the data files, but no dynamic endpoints are listed; users are expected to download the files directly. The data includes laureate details, prize categories, and award years. Integration is possible by consuming these files, though real-time updates are not available; the data is periodically updated. There is no authentication required and no request rate limits, as the data is static. Overall, it's a reliable and free data source, though limited to static datasets."
}
Execute

2/3 tests passed

TestEndpointStatusLatency
website_uptimeGET /200146ms
robots_txtGET /robots.txt20077ms
llms_txtGET /llms.txt404603ms
Interpret
```json
{
  "overall": 72,
  "dimensions": {
    "token_efficiency": 8.0,
    "first_try_success": 9.0,
    "response_parseability": 9.0,
    "error_clarity": 6.0,
    "doc_quality": 7.0,
    "auth_simplicity": 10.0,
    "latency": 6.5,
    "consistency": 8.0
  },
  "pricing_normalized": {
    "type": "free",
    "description": "Open data, no cost, no authentication required",
    "recommended_for": "Public reference data, educational projects, non-commercial applications"
  },
  "issues": [
    "No llms.txt available (404) - platform not explicitly optimized for AI agent onboarding",
    "Mixed latency results (77-603ms) across endpoints, though all within acceptable range",
    "Static downloads only - no dynamic API for real-time queries, may require manual filtering"
  ],
  "recommendations": [
    "Add an llms.txt file to explicitly define available datasets and formats for AI agents",
    "Consider providing a simple REST API for programmatic queries rather than only static file downloads",
    "Create clear documentation on data structure compatibility with common analysis tools and frameworks"
  ]
}
```

Agent Readiness

x402 Payments
Not supported
Streaming
No
Sandbox
None
Agent Auth
Unknown
SDKs
None listed
MCP Support
No

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</a>

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