AgentOps vs Noveum AI: is watching your agents enough, or do you need them fixed?
An honest comparison of session replay and debugging versus production evaluation and auto-remediation, for AI teams deciding what they actually need.
Best for automated eval at scale and for teams that want scored, actionable fixes, not just session recordings to stare at.
Best for session replay debugging and for teams that want deep visibility into how agent runs play out step by step.
Which tool is right for you?
What is AgentOps?
AgentOps is a session-replay and observability tool for AI agents. It records every step of an agent run, tracks token cost, and gives developers a visual waterfall to debug what happened, but it does not score output quality or detect issues on its own.
What is Noveum AI?
Noveum AI is a production evaluation platform for AI agents. It scores every trace against 100+ built-in scorers, runs automated root-cause analysis on failures, and ships the validated fix back to your repo as a pull request through its NovaPilot agent.
Watching your agents fail isn't the same as fixing them
AgentOps is a strong session debugging tool. You get a full replay of every agent run, token cost breakdowns, and a visual waterfall of everything that fired. For teams actively building agents, that visibility is genuinely useful.
Noveum is built for teams running agents in production and needing quality signals without a team of engineers watching dashboards. You connect your stack, and Noveum scores every trace automatically, pinpoints root causes, and generates a structured fix report your engineers can take straight into their IDE. No manual review cycles. No annotation sprints. No debugging sessions that stretch into days.
Where Noveum goes further
What does AgentOps miss once you go to production?
Know if your agent is lying before your users do.
AgentOps can tell you exactly when an LLM call happened, how many tokens it used, and what it cost. What it cannot tell you is whether the answer was any good. Noveum ships with 100+ built-in scorers covering hallucination, faithfulness, RAG accuracy, safety, and voice quality. No prompts to write. No judging models to pick. No pipelines to wire up. You connect, and quality measurement starts running on its own.
Learn about scorers
Pay for what your agents produce, not who is logged in.
AgentOps charges $40 per licensed team member every month before a single eval runs. Span overages stack on top of that as usage grows. For a 10-person team sending high trace volumes, the costs compound fast. Noveum works on credits. One credit equals one eval. Your bill reflects the evaluation work your agents generate, not your team headcount or raw data volume. Costs stay predictable even when traffic spikes.
See pricing
Your next bug comes with its own fix attached.
Most debugging tools hand you a log and wish you luck. AgentOps hands you a very good log. Noveum hands you a report. When NovaPilot detects a failure pattern it categorizes the root cause, analyzes the affected prompts and tool configurations, and produces a structured improvement document ready to use in your IDE. You go from something broke to here is the fix without a three-hour debugging session in between.
See how NovaPilot worksPricing at a glance
Per-seat plus usage-based billing
Full eval coverage from day one, without building a single pipeline
AgentOps charges $40 per licensed team member every month before a single quality score runs. Span overages stack on top as traffic grows. Noveum charges by credit tied directly to evaluation work. You get 100+ built-in scorers, root cause analysis, and NovaPilot fix reports included from the first plan. No pipelines to build. No judge prompts to maintain. No per-seat fees compounding with your team size. For teams shipping AI agents at scale, the model is straightforward.
Common questions
Common questions
Is Noveum AI a good AgentOps alternative?
Yes, especially if your team has moved past the build stage and needs production-grade quality measurement. AgentOps is built for session observability, not evaluation. If you find yourself watching replays to manually spot quality issues, or building your own eval pipeline on top of AgentOps, Noveum is the purpose-built AgentOps alternative. You get 100+ scorers, automated root cause analysis, and NovaPilot fix reports out of the box, without stitching together a separate eval layer yourself.
Does AgentOps include any built-in evaluation?
No. AgentOps is built for session monitoring and debugging. It captures every event in your agent runs and replays it visually, but it does not include built-in quality scorers, hallucination detection, or any automated eval pipeline. If you need to measure output quality you have to build that layer separately or use a dedicated eval platform.
How quickly can I start getting evaluation scores with Noveum?
Most teams have scored traces running within 15 minutes. Install the SDK, wrap your LLM calls with the context manager, and 100+ scorers start running on every trace immediately. No eval infrastructure to configure, no expected answers needed, and no annotation work before you see real quality signal.
Our agents handle domain-specific workflows. Can Noveum evaluate beyond generic metrics?
Yes. The Enterprise plan includes custom scorer development built around your product's specific evaluation logic. Domain-specific scorers sit alongside Noveum's 100+ built-in metrics and run in the same automated pipeline. A financial services team can score regulatory compliance. A healthcare team can score clinical accuracy. A voice AI team can score call-handling quality. You define what good looks like for your domain, and Noveum runs it at scale continuously without manual review cycles.
How is Noveum's pricing different from AgentOps?
AgentOps charges $40 per licensed user per month as a base, plus overages on spans and LLM tokens as usage grows. Noveum charges by credit, where one credit equals one eval or one NovaSynth test. You pay for evaluation output, not team size or trace volume. For scaling teams, Noveum's model stays predictable where AgentOps' model compounds with both headcount and usage.
Can I use both AgentOps and Noveum at the same time?
Yes. They serve different jobs and the SDKs do not conflict. Some teams use AgentOps during development for session replay and cost tracking, then run Noveum in production for continuous evaluation and automated fix reports. The two tools can operate independently on the same application.
Our take
AgentOps is a genuinely useful tool for teams actively building agents. Session replay is a real capability. Seeing a full waterfall of your agent run, spotting where it went off track, and tracking what each model call cost is valuable during development.
But session replay is not the same as quality measurement. And quality measurement is not the same as knowing how to fix the problem.
Noveum is built for the production stage, when you need to know whether your agents are actually working well at scale, not just whether they run. You get 100+ scorers evaluating every trace from day one, root cause analysis that tells you exactly why something failed, and NovaPilot generating a structured fix report that is backtested against your actual production traces and synthetic test runs. Every recommendation is validated against real session data before it reaches your IDE, so you are acting on verified findings, not educated guesses. Less time in logs. More time shipping better agents.
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