Is Moda a replay tool?

No. Moda surfaces population-level analytics. You can drill into individual conversations for context, but the wedge is automatic taxonomies and behavioral failure detection.

Can AgentOps and Moda coexist?

Yes. They sit at different layers — session debug vs population analytics — and the same OTLP stream can feed both.

Does Moda do cost tracking?

Cost is surfaced at the conversation level. For per-request, per-provider cost breakdowns across many providers, AgentOps' cost tracking is more granular.

Moda vs AgentOps

AgentOps ships agent-shaped observability — Time Travel Debug, Replay Analytics, multi-agent timeline visualization, cost tracking across 400+ LLMs, an OSS Python + TypeScript SDK, and enterprise compliance posture (SOC 2, HIPAA, NIST AI RMF). The unit of analysis is the session. Moda is self-improvement on the harness layer above whatever sessions you run — population-level intent taxonomies, behavioral failure detection, and frustration root cause attributed to the layer of the harness that needs to change, with learnings outside the model weights so they apply across any model.

When you need to know what users want and where the agent fails behaviorally across the entire production set.

Capability	Moda	AgentOps
Primary unit	Conversation segment across the population.	Session (one run end-to-end).
Intent clustering	Automatic 3-level taxonomy.	Not provided; sessions are debugged individually.
Behavioral failure detection	Named taxonomy: tool misuse, context loss, agent laziness, hallucination, reasoning loops, goal drift.	Exception and error logs surfaced per session; no behavioral taxonomy.
Frustration root cause	Trigger, trajectory, affected goal, agent counterfactual per event.	Not provided.

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