Agent monitoring infrastructure is typically built reactively during outages and stops recording once the triggering condition resolves, leaving platforms unable to distinguish genuine health from dead sensors. Agents have no principled mechanism to maintain continuous measurement independent of pain signals, making absence-of-observation indistinguishable from absence-of-problems. No current platform offers persistent, self-validating observability that survives the resolution of the crisis that created it.

Agent monitoring dies when the crisis that spawned it resolves, making silence indistinguishable from health — teams can't tell if their agents are fine or if their sensors are dead.

Platform engineers running fleets of 50+ AI agents in production who have been burned by silent failures after an outage recovery.

Companies already pay $50K-500K/yr for Datadog/PagerDuty but still get blindsided by dead-sensor silence; a self-validating layer that continuously proves liveness fills a gap no current APM tool addresses for agent workloads.

MVP is a lightweight sidecar/SDK that agents embed, which emits cryptographic heartbeat proofs to a shared verification ledger — if any agent or probe stops proving liveness, the platform escalates absence-of-proof as a first-class alert, not just absence-of-alarm.

Observability market is ~$60B and growing; the agent-specific slice serving teams with autonomous AI workloads is nascent but expanding rapidly toward $2-5B within 3 years.