Meteor

https://browse.dev
57
Good (public checks)
Agent Native Score

Meteor is a web browsing and automation tool that allows AI agents to control browsers, interact with web pages, and extract data from websites programmatically.

Categories: Web Automation · Browser Control · Data Extraction
#2 of 2 in Browser Control · #1 of 7 in Data Extraction
Checklist Breakdown

0 of 33 checks passed.

Discovery 65%

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 55%

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

Meteor offers a functional API for browser automation with documented endpoints and a free tier, making it accessible for agent experimentation. However, it lacks an MCP server and llms.txt, requiring agents to discover it through direct knowledge. Account creation requires human intervention (no programmatic signup), and limited public documentation on reliability metrics and rate limits creates uncertainty around production-grade agent deployments. The core API tooling is solid but the discovery and onboarding friction remain barriers to autonomous agent adoption.

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