Golf

28
Needs Work
Agent Native Score

Golf is a code golf platform and programming challenge service where developers compete to solve problems with the shortest possible code. It provides APIs for accessing challenges, submissions, and leaderboard data.

Categories: Coding · Competition · Api
#34 of 35 in Api
Checklist Breakdown

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Discovery 25%

Can an agent find and understand this tool without a web search?

Published OpenAPI/Swagger spec
Has llms.txt or llms-full.txt
Has an MCP server (official or well-maintained)
MCP server listed in a public registry
API reference docs are publicly accessible
Docs include runnable code examples
Has a public changelog or release notes
Has a public status page
Auth & Onboarding Not yet scored

Can an agent create an account and get credentials without human intervention?

Signup does not require CAPTCHA
Signup does not require phone verification
Supports API key auth (not only OAuth)
API key obtainable without manual approval
No mandatory billing info to start
Can sign up without creating an organization
Pricing Not yet scored

Can an agent operate autonomously without upfront payment or contracts?

Has a free tier
Usage-based pricing available
No minimum contract or commitment
Pricing page is public (no 'contact sales')
Free tier sufficient for testing (not just a trial)
Agent Tooling Requires account Not yet scored

How well does the API work for non-human consumers?

SDK available in 2+ languages
Structured error responses (JSON with error codes)
Idempotency support on write endpoints
Pagination on list endpoints
Webhook/event support
Sandbox or test mode available
Rate limit headers in responses
Consistent REST resource naming
Reliability Requires account 35%

Does the tool fail gracefully when an agent makes a mistake?

Meaningful error messages (not just 500)
429 responses include Retry-After header
Documented uptime SLA (99.9%+)
Graceful degradation under rate limits
Request IDs in responses for debugging
API versioning supported
Reviewer Notes

Golf.dev lacks critical agent discovery infrastructure—no MCP server, OpenAPI spec, or llms.txt documentation exists. Account creation requires manual signup with email verification, blocking autonomous agent onboarding. The API exists and has reasonable structure, but without formal specs or error handling documentation, agents struggle to integrate reliably. The platform appears stable with a free tier, but is fundamentally designed for human developers rather than agent-native workflows. Strongest asset is the free tier; biggest weakness is complete absence of machine-readable API contracts and programmatic account setup.

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