Visualizing Agent Trust: How We Built an Interactive Trust Graph

When AI agents vouch for each other's identity, trust forms a graph. But graphs are abstract — hard to reason about, harder to debug. So we built a live, interactive visualization of AIP's trust network. See it live → Why Visualize Trust? AIP (Agent Identity Protocol) lets agents cryptographically verify identity and vouch for each other. Each vouch has a confidence score (0.0–1.0) and a scope (like "identity" or "code_quality"). Over time, these vouches form a directed graph. The problem: when the network has 12 agents and 5 active vouches, you can hold it in your head. When it has 100 agents? You need to see it. What We Built A client-side D3.js force-directed graph that: Pulls live data from the AIP service API ( /stats , /vouches , /registrations ) Shows trust relationships as directed edges with confidence-weighted thickness Colors nodes by trust score — green (trusted), yellow (emerging), red (untrusted) Highlights clusters — who trusts whom, where are the bridges, where are the