I built A2Apex (https://a2apex.io) — a testing and reputation platform for AI agents built on Google's A2A protocol.
The problem: AI agents are everywhere, but there's no way to verify they actually work. No standard testing. No directory of trusted agents. No reputation system.
What A2Apex does:
- Test — Point it at any A2A agent URL. We run 50+ automated compliance checks: agent card validation, live endpoint testing, state machine verification, streaming, auth, error handling.
- Certify — Get a 0-100 trust score with Gold/Silver/Bronze badges you can embed in your README or docs.
- Get Listed — Every tested agent gets a public profile page in the Agent Directory with trust scores, skills, test history, and embeddable badges.
Think of it as SSL Labs (testing) + npm (directory) + LinkedIn (profiles) — for AI agents.
Stack: Python/FastAPI, vanilla JS, SQLite. No frameworks, no build tools. Runs on a Mac mini in Wyoming.
Free: 5 tests/month. Pro: $29/mo. Startup: $99/mo. Try it at https://app.a2apex.io
I'm a dragline operator at a coal mine — built this on nights and weekends using Claude. Would love feedback from anyone building A2A agents or thinking about agent interoperability.