A2Apex – Test, certify, and discover trusted A2A agents

Name: A2Apex – Test, certify, and discover trusted A2A agents
Availability: InStock
Author: Hauk307

by Hauk307·Mar 12, 2026·4 points·2 comments

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AI Analysis

●●SolidBold BetNiche Gem

SSL Labs for AI agents, but tied to Google's early-stage A2A protocol.

Strengths

•50+ automated checks cover agent cards, endpoints, auth, and error handling
•Embeddable trust badges create network effects for verified agents
•Runs on minimal stack (FastAPI, SQLite, vanilla JS) on a Mac mini

Weaknesses

•A2A protocol adoption is too early to justify building tooling around it
•Free tier limited to 5 tests monthly, unclear pricing beyond that

Post Description

Hey HN,

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.