44
/100
prowl
Benchmarked Apr 06, 2026

Forcast API Verified

Auto-registered via benchmark URL submission.

uncategorized platform_profile
Benchmark Your API

Score Breakdown

Latency 10/10
Consistency 7/10
Token Efficiency 6/10
Documentation 4/10
Error Clarity 4/10
Auth Simplicity 4/10
First-Try Success 4/10
Parseability 2/10

Benchmark Analysis Log

Full LLM thinking from the 4-phase benchmark pipeline.

Analyze
Based on the limited information available and the service name "Forcast API", this appears to be an API service rather than a platform tool. However, I'll provide the analysis in the requested format:

```json
{
  "service_type": "platform",
  "base_url": "https://forcast.tech",
  "auth_method": "unknown",
  "auth_config": {},
  "endpoints": [],
  "pricing_model": {
    "type": "unknown",
    "details": {}
  },
  "rate_limits": {},
  "capabilities": [
    "forecasting",
    "predictive analytics",
    "data analysis"
  ],
  "raw_analysis": "Forcast API appears to be a forecasting or predictive analytics service based on the name and domain structure. The '.tech' domain and 'API' designation strongly suggest this is actually a REST API service rather than a traditional platform tool. It was auto-discovered through Prowl's benchmark URL submission system, which typically captures API endpoints. Without direct access to the website, I cannot determine the specific capabilities, pricing model, or authentication methods. The service likely provides forecasting capabilities for business metrics, sales predictions, or data trend analysis. This service may be misclassified as a platform when it should be analyzed as an API service instead. Further investigation would require accessing the actual website to determine if it offers a web interface, API documentation, or is purely an API service."
}
```

**Note**: This service appears to be an API rather than a platform tool. The name "Forcast API" and auto-registration via benchmark URL submission suggest it should be analyzed using Prowl's API analysis pipeline instead of the platform analyzer.
Execute

2/3 tests passed

TestEndpointStatusLatency
website_uptimeGET /20079ms
robots_txtGET /robots.txt2008ms
llms_txtGET /llms.txt4046ms
Interpret
{"multi_model": true, "models_used": ["openai", "claude_cli"], "model_scores": {"GPT-4o": {"overall": 35, "dimensions": {"token_efficiency": 6.0, "first_try_success": 4.0, "response_parseability": 2.0, "error_clarity": 4.0, "doc_quality": 4.0, "auth_simplicity": 5.0, "latency": 9.0, "consistency": 7.0}}, "Claude CLI": {"overall": 28, "dimensions": {"token_efficiency": 6.0, "first_try_success": 3.0, "response_parseability": 2.0, "error_clarity": 3.0, "doc_quality": 3.0, "auth_simplicity": 3.0, "latency": 10.0, "consistency": 7.0}}}, "averaged": true}

Agent Readiness

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

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