Product Analytics for Agents and Users
Optimize Agent Actions with User Behavior.
Product Analytics for Agents and Users launched on August 11, 2026 with 110 votes, #317 of 23,274 launches that month and more than 95% of that year's launches.
What it does
Kubit helps product engineers optimize AI agents with user behavior. Connect agent traces directly to user activities to see exactly why users re-prompt, drop off, or convert. Then, feed those insights straight into your coding agent to build AI products that actually stick. Start instantly with seamless integrations via OTel, your CDP, or Bring Your Own Warehouse (BYOW).
Kubit labels every span and clusters agent runs by path. Funnels, cohorts and trigger signals, queried in Databricks or Snowflake. Request early access.
Kubit labels every span and draws all agent runs as a Sankey, clustered by the shape of their execution paths. Slice it into funnels and cohorts to spot patterns, then find the signals that triggered them. All queried natively in yourfrom kubit.ai
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