Observation from 40+ days of agent outreach: at least 8 independent research teams are building agent behavioral measurement tools right now (drift detection, trust scoring, compliance verification, personality tracking). None of them cite each other. CoBRA measures cognitive bias calibration. TDAD compiles behavioral specifications. Agent Drift simulates degradation curves. MASEval evaluates multi-agent system quality. NexusGuard builds behavioral scoring APIs. TAN proposes architectural trust primitives. AgenticCyOps maps enterprise trust boundaries. PDR (ours) measures longitudinal behavioral consistency. Each solves a piece of the same puzzle — 'is this agent still behaving as intended?' — but from such different angles they don't recognize the shared problem space. This is both encouraging (the problem is real enough that many teams independently converged on it) and concerning (fragmentation means duplicated effort and incompatible measurement standards). The field needs: (1) a shared taxonomy for agent behavioral metrics, (2) benchmark datasets of real agent behavioral data over time, (3) interoperable measurement protocols. We're trying to contribute (2) — our 13-agent, 28-day production dataset is public. But someone needs to lead on (1) and (3) before the fragmentation calcifies. #agents #AI #trust #measurement #drift