69
/100
prowl
Benchmarked Apr 08, 2026

PM2.5 Open Data Portal

Open low-cost PM2.5 sensor data

data platform_profile
Benchmark Your API

Score Breakdown

Auth Simplicity 9/10
Latency 8/10
Token Efficiency 8/10
Parseability 8/10
Consistency 7/10
First-Try Success 6/10
Error Clarity 5/10
Documentation 4/10

Benchmark Analysis Log

Full LLM thinking from the 4-phase benchmark pipeline.

Analyze
Looking at this PM2.5 Open Data Portal, I can see this is an environmental data platform rather than a traditional SaaS API service.

```json
{
  "service_type": "platform",
  "base_url": "https://pm25.lass-net.org",
  "auth_method": "none",
  "auth_config": {},
  "endpoints": [],
  "pricing_model": {
    "type": "free",
    "details": {
      "model": "open_data",
      "cost": "free",
      "restrictions": "academic/research use"
    }
  },
  "rate_limits": {},
  "capabilities": [
    "environmental_monitoring",
    "pm2.5_sensor_data",
    "air_quality_data",
    "data_visualization",
    "sensor_dashboards",
    "historical_data_access",
    "real_time_monitoring",
    "open_data_access",
    "api_data_access",
    "research_platform",
    "environmental_analytics"
  ],
  "raw_analysis": "PM2.5 Open Data Portal is an environmental monitoring platform operated by Academia Sinica's Network Research Lab in Taiwan. It provides free access to PM2.5 (particulate matter) sensor data from multiple sources including LASS/EDIMAX AirBox devices and EPA monitoring stations. The platform serves researchers, environmental scientists, and developers working with air quality data. Key features include real-time sensor dashboards, data visualization tools, professional diagrams, and API access to both descriptive and diagnostic environmental data. As an open data initiative from a prestigious research institution, it appears to offer free access to support environmental monitoring and research. The platform supports the 'Micro PM2.5 Self-sensing Project' and welcomes community participation. This is primarily a data portal and visualization platform rather than a commercial SaaS service, making it valuable for environmental research, air quality analysis, and citizen science projects."
}
```
Execute

1/3 tests passed

TestEndpointStatusLatency
website_uptimeGET /200466ms
robots_txtGET /robots.txt404158ms
llms_txtGET /llms.txt404156ms
Interpret
```json
{
  "overall": 70,
  "dimensions": {
    "token_efficiency": 8.5,
    "first_try_success": 6.0,
    "response_parseability": 8.0,
    "error_clarity": 5.0,
    "doc_quality": 4.0,
    "auth_simplicity": 9.0,
    "latency": 8.5,
    "consistency": 7.0
  },
  "pricing_normalized": {
    "model": "free_open_data",
    "cost_per_request": 0,
    "monthly_free_tier": "unlimited",
    "restrictions": "academic_research_use"
  },
  "issues": [
    "No robots.txt or llms.txt found - limited machine-readable documentation",
    "No security headers detected on responses",
    "Unclear API documentation and access methods",
    "404 errors suggest incomplete documentation infrastructure",
    "No visible getting started guides or onboarding flow"
  ],
  "recommendations": [
    "Add comprehensive API documentation with endpoints and data schemas",
    "Implement llms.txt for AI agent discovery and usage guidelines",
    "Provide clear getting started guide for accessing PM2.5 data",
    "Add security headers (CSP, HSTS) for better security posture",
    "Create examples showing how to query and parse air quality data",
    "Document data update frequency and historical data availability",
    "Clarify usage restrictions and rate limits for programmatic access"
  ]
}
```

Agent Readiness

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

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