G2

Verified User in Marketing and Advertising

Small-Business (50 or fewer emp.)

11/3/2026

"Arize AX Streamlined Tracing, Evals, and LLM Cost Insights for AI Agents"

4/5

What do you like best about Arize AX?

Arize AX was a powerful addition for our agentic features launch across our product suite. Before we pushed to production, I sent my first trace into it, and it reviewed all the signals and clustered the most frequent problems into clear issues we could fix.

Beyond that, its managed cost agent breaks down LLM spend and helped us reduce our overall model-routing cost by 15%. I also find the custom evaluation methods much more advanced. In particular, I use the decision judge to organize evaluations for our agentic users’ queries. There are more than enough templates to get started with evals, instead of having to build everything from scratch. Review collected by and hosted on G2.com.

What do you dislike about Arize AX?

The UI feels very minimalist and seems to lack deeper-level functionality for advanced users who need more. I also didn’t like the output from its support agent, "Alyx"—the answers didn’t feel very to the point. It also lacks direct integrations with third-party platforms, or at least I couldn’t find an easy way to set them up. Review collected by and hosted on G2.com.

What problems is Arize AX solving and how is that benefiting you?

When it comes to labeling queues, it does a good job helping our subject matter experts create a golden dataset without needing to code. For our programmers, they sometimes use custom metrics when the ready-made templates aren’t enough for what they’re trying to measure.

The experiment features are what I like most, especially the playground. We can test everything there—user prompts, models, and agent output—before pushing to production, which helps us avoid low CSAT. Over time, the datasets created through experiments also help us compare the current version of guardrails and other agent configurations with previous ones, so we can see the progression visually as things evolve, increasing our Agent improvement performance drastically. Review collected by and hosted on G2.com.