For teams already worried about invisible agent activity, this one-time audit pressure-tests a real workflow and turns raw traces into an evidence-backed action plan.
Book the $750 pilot audit →AI agents leave signals across six distinct surface areas. Agentrace monitors all of them simultaneously.
Identify distinctive AI agent patterns in decision sequences, timing anomalies, and action distributions that no human replicates.
Trace API invocation patterns, payload structures, and request cadences that reveal automated orchestration beneath human-facing workflows.
Detect mid-stream injections where an AI agent reroutes, augments, or overrides steps in an otherwise human-driven process.
Parse system and application logs to surface the invisible traces AI agents leave behind — even when deliberately obscured.
Examine file provenance, edit history, version diffs, and embedded metadata to confirm or rule out AI-generated content at scale.
Identify hybrid sessions where human intent and AI execution blur — detecting handoff points and co-authorship signatures.
Drop our SDK or connect via API. Works with your existing stack — cloud, on-prem, or hybrid.
Agentrace continuously monitors signals across behaviors, APIs, logs, and metadata in real time.
Receive a probability score with explainable evidence — not a black box. You see exactly what triggered the detection.
Agentrace is currently in private beta. Join the waitlist to be among the first to detect what others can't see.
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