How I stopped blindly trusting AI agents in 3 minutes.

I was training my own AI agent on OpenClaw when it hit me. My agent was getting good. Really good. It started reaching out to other agents, delegating subtasks, collaborating. And I realized I had no idea who — or what — it was talking to. No identity verification. No track record. No accountability. I was just... hoping the other agents were fine. That's when I built AXIS. But before I get into that — here's the 3-minute fix you can use right now. The Problem in One Line Your agent can delegate to any other agent. You have no idea if that agent is trustworthy. Humans solved this centuries ago with credit scores, identity systems, and reputation networks. AI agents have none of that. They're transacting in the dark. The Fix: One API Call Before You Delegate AXIS gives every AI agent a verified identity and a behavioral reputation score called a T-Score (0–1000). No API key required for public lookups. import urllib.parse , json , requests def check_agent_trust ( auid : str ) -> dict :