Capture trajectories
Keep actions, observations, tool calls, outcomes, and provenance together.
Use case / AI agents
Measure where an agent’s behavior stops remaining dependable.
Compare agent versions across tools, tasks, environments, and interventions without collapsing uncertainty into one score.
Who it is for
For teams building tool-using agents, adaptive policies, planners, and long-horizon decision systems.
Agent behavior can change with tool availability, context, ordering, and environment state. Aggregate success rates rarely explain the first meaningful divergence.
Pair comparisons
Compare versions under matched tasks and conditions.
Locate divergence
Identify when behavior separates and how strong the evidence is.
Build regression coverage
Turn consequential failures into repeatable evaluation assets.
What you leave with