Browser Use Agent Native Score | Agent Native Registry

Checklist Breakdown

0 of 33 checks passed.

Discovery 75%

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 65%

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

Browser Use excels as an open-source framework with clear GitHub documentation and no authentication barrier, making discovery and immediate agent deployment straightforward. The Python SDK provides solid agent tooling for browser automation tasks. However, it lacks formal MCP server integration, OpenAPI spec, or llms.txt for structured discovery. Reliability depends on underlying browser stability and network conditions, and the project's maturity level affects consistent error handling. The free tier and sandbox availability are excellent for agent experimentation, but production reliability and long-term maintenance transparency could be stronger.

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