AI Agentree is the leading AI agent monitoring platform focused on decision quality, not just system health. Track decision outcomes, detect pattern drift, identify automation opportunities, and improve agent performance continuously. Alternative to LangSmith, Datadog for teams needing decision intelligence beyond trace-level observability.
AI Agentree monitors decision quality, not just system uptime. Track outcomes, detect drift, and improve your agents continuously.
Best for: AI teams running agents 24/7, operations teams responsible for agent performance, and anyone who needs to know if AI decisions are actually working.
Your monitoring shows green. API latencies are fine. But are your agents making GOOD decisions? Traditional observability can't answer this question.
Agent decision quality can drift slowly - model updates, data changes, edge cases accumulating. By the time you notice, customers have been affected for weeks.
You find out about bad AI decisions when customers complain. By then, you're firefighting instead of preventing. There's no early warning system.
Go beyond traces. Monitor what actually matters - decision quality.
Track decision outcomes across three horizons: immediate, short-term (days), and long-term (weeks). See which decisions actually work.
Automatic alerts when decision patterns change. Catch problems before they affect customers.
Deterministic pattern detection with statistical confidence thresholds. Find automation opportunities and edge case clusters.
API endpoints for decision volume, confidence distributions, outcome rates, and human override patterns. Dedicated analytics dashboard included.
Export decision metrics via OpenTelemetry to existing dashboards, or use our REST API analytics endpoints.
Traditional observability tools track API calls, latencies, and errors. AI Agentree monitors decision quality - tracking which decisions led to good outcomes, identifying drift in decision patterns, and alerting when agents make unusual choices. We focus on decision intelligence, not just system health.
Yes, AI Agentree tracks decision outcomes across three time horizons (immediate, short-term, long-term). When outcome patterns change - like increasing customer complaints after certain decision types - the system alerts you before problems escalate.
AI Agentree uses deterministic pattern signatures with k-user/n-trace confidence thresholds to identify recurring decision scenarios and unusual patterns. The system detects when similar situations consistently lead to the same decisions, surfacing candidates for rule-based automation. ML-based advanced detection is on our roadmap.
Less than 10ms. Our async architecture captures decision data without blocking agent operations. Most customers report zero perceptible impact on agent response times, even at high volume.
Yes, AI Agentree exports decision data via OpenTelemetry (OTLP), which integrates with Datadog, New Relic, Grafana, and other OTel-compatible platforms. Export decision metrics to your existing dashboards, or use our REST API analytics endpoints.
Start tracking what actually matters. Free tier available.