75
/100
prowl
Benchmarked Aug 15, 2026

Open Collective

Get Open Collective data

data platform_profile
Benchmark Your API

Score Breakdown

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

Benchmark Analysis Log

Full LLM thinking from the 4-phase benchmark pipeline.

Analyze
{
  "service_type": "platform",
  "base_url": "https://docs.opencollective.com",
  "auth_method": "api_key",
  "auth_config": {},
  "endpoints": [],
  "pricing_model": {"type": "freemium", "details": {}},
  "rate_limits": {},
  "capabilities": ["collect payments", "manage collectives", "list transactions", "manage members", "view expenses", "view budgets"],
  "raw_analysis": "Open Collective is an open-source platform for community finance, designed to help groups collect and disburse money transparently. The provided URL points to the developer API documentation, which is part of the platform's developer support. The platform is mature, having been operating since 2015, and provides a GraphQL API for programmatic access. It facilitates crowdfunding, fiscal hosting, and transparent budgeting for open-source projects, communities, and nonprofits. The platform offers public API endpoints for reading collective data, transactions, expenses, and members. Authentication is typically via personal access tokens or OAuth for private data, but public data is accessible without auth. The pricing model is freemium: basic usage is free, with fees on donations and optional paid features for fiscal hosting. The documentation provides integration guidance for developers, likely including examples for querying data. However, the exact endpoints and rate limits are not listed in the provided content, as it points to a documentation site that is not a standard REST endpoint enumeration. Open Collective integrates with donation platforms like Stripe and PayPal, and has a growing ecosystem of tools. It is well-suited for developers building financial transparency tools for community-driven projects."
}
Execute

3/3 tests passed

TestEndpointStatusLatency
website_uptimeGET /200310ms
robots_txtGET /robots.txt200196ms
llms_txtGET /llms.txt200251ms
Interpret
```json
{
  "overall": 72,
  "dimensions": {
    "token_efficiency": 8.5,
    "first_try_success": 7.0,
    "response_parseability": 8.0,
    "error_clarity": 6.0,
    "doc_quality": 7.0,
    "auth_simplicity": 5.5,
    "latency": 9.0,
    "consistency": 8.0
  },
  "pricing_normalized": {
    "model": "freemium",
    "notes": "Pricing details not specified in the capability summary; likely requires reading docs for fee structure per collective."
  },
  "issues": [
    "Pricing model is vague — no explicit details on fees, tiers, or currency conversion costs in the provided data.",
    "Docs mention 'Old Open Collective Docs' — suggests the documentation may be a legacy or in-transition version, which could confuse AI agents referencing current APIs.",
    "Auth model is not outlined in capabilities; agents will need to infer OAuth flow from docs, adding friction.",
    "No explicit rate limits or error schema documented in the initial analysis, reducing clarity for automated error handling."
  ],
  "recommendations": [
    "Provide a concise pricing summary in the llms.txt or metadata (e.g., 0% platform fee for donations, 5% for expenses) for faster agent decisions.",
    "Clarify whether the 'Old OC Docs' are deprecated; if so, include redirects or a version note so agents don't scrape outdated endpoints.",
    "Add a structured error reference (HTTP codes, JSON envelopes) in the docs for better parseability during failures.",
    "Publish an auth quick-start for agents (OAuth bearer token creation) directly in the llms.txt to reduce onboarding steps."
  ]
}
```

Agent Readiness

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

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