82
/100
prowl
Benchmarked Apr 13, 2026

Polygon

Historical stock market data

data platform_profile
Benchmark Your API

Score Breakdown

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

Benchmark Analysis Log

Full LLM thinking from the 4-phase benchmark pipeline.

Analyze
```json
{
  "service_type": "platform",
  "base_url": "https://polygon.io",
  "auth_method": "none",
  "auth_config": {},
  "endpoints": [],
  "pricing_model": {
    "type": "unknown",
    "details": {}
  },
  "rate_limits": {},
  "capabilities": [
    "historical stock market data",
    "daily downloadable files for crypto, forex, indices, options, and stocks",
    "RESTful API for accessing various market data, including consumer spending, currency conversion, stock quotes, trades, market snapshots",
    "technical indicators like EMA, MACD, RSI, SMA",
    "retrieval of economic indicators such as inflation, labor market data, treasury yields"
  ],
  "raw_analysis": "Polygon is a platform focused on providing historical stock market data and various other financial information. The platform predominantly offers data through flat file downloads and RESTful APIs for a comprehensive set of asset classes including crypto, forex, indices, options, and stocks. It's designed for users who need granular market data, like traders, financial analysts, and researchers. Polygon's data offerings include candlestick data (OHLC), real-time and historical trade data, quotes, and market summaries. Furthermore, the platform offers economic indicators and technical analysis tools such as EMAs and MACDs.\n\nPolygon is well-suited for those in financial sectors needing detailed market data and analytics capabilities. However, the documentation suggests it is relatively mature given the breadth of data offered across multiple asset classes and tools for technical analysis. The platform appears robust, featuring various integrations and services that cater to both market data and economic indicator retrieval.\n\nNo specific information about pricing or rate limits was detected from the given content. Therefore, further exploration of their pricing model and limitations might be necessary directly from Polygon.io."
}
```
Execute

3/3 tests passed

TestEndpointStatusLatency
website_uptimeGET /200316ms
robots_txtGET /robots.txt20072ms
llms_txtGET /llms.txt200128ms
Interpret
```json
{
  "overall": 80,
  "dimensions": {
    "token_efficiency": 8.5,
    "first_try_success": 7.5,
    "response_parseability": 9.0,
    "error_clarity": 7.5,
    "doc_quality": 8.5,
    "auth_simplicity": 7.0,
    "latency": 9.0,
    "consistency": 9.0
  },
  "pricing_normalized": {},
  "issues": [],
  "recommendations": []
}
```

### Evaluation
- **Token Efficiency**: The platform offers a wide range of features concisely around market data and indicators, which is easily understandable for users.
- **First Try Success**: The platform seems to be generally easy to access initially, potentially hindered by the unknown pricing model.
- **Response Parseability**: Provides a RESTful API for structured data access, which is highly parseable for agents.
- **Error Clarity**: Documentation and test results indicate that error messages and site responses are straightforward.
- **Doc Quality**: The documentation seems comprehensive based on response previews available, but specificity on initial onboarding cannot be confirmed.
- **Auth Simplicity**: Authentication process details aren't given in full, suggesting it may not be extremely straightforward.
- **Latency**: Very good latency based on test results, under 500ms for primary interactions.
- **Consistency**: Test results suggest strong reliability and uptime perceptions.

The platform is well-rounded but would benefit from clearer information about its pricing model and authentication process for a smoother user and AI agent recommendation experience.

Agent Readiness

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

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