Rimba Agent Native Score | Agent Native Registry

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 40%

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

Rimba presents significant barriers to agent discovery and automation. While it offers a free tier and API access via API keys, there is no publicly documented OpenAPI spec, MCP server, or llms.txt file, making it difficult for agents to understand available endpoints without manual integration work. Account creation requires human interaction (email verification, dashboard access). The API tooling appears functional but lacks comprehensive documentation for structured agent consumption. Reliability seems reasonable for a blockchain platform, but the lack of agent-native infrastructure (no MCP, no spec) and the requirement for manual account setup substantially limits autonomous agent adoption.

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