The Vision: Analytics for the Agentic Era

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We're moving fast from simple RAG chat interfaces to autonomous, multi-turn AI agents.

Traditional analytics were built for static page views and button clicks. But when an agent can take 10 different paths to solve a single user intent, traditional funnels break down. You need to analyze:

  • Looping behavior: Where do users get stuck re-prompting?

  • Cost-per-conversion: Is a high-token agentic chain actually driving higher retention?

  • Agent friction: Did a hallucination cause a rage click, or did latency cause the drop-off?

Kubit is rebuilt ground-up for this shift.

We’re live today on PH and offering a free tier for early teams. Check out and let us know what features or integrations you’d like to see next! 🚀

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