Arize AI
AI agent observabilityTrace, evaluate, improve AI agents
Highlights
What you can do with it
- AI engineers debug why an agent made a bad call on a specific trace
- Teams run evaluations before deploying a prompt change to production
- Enterprises keep agent history in an open format inside their own warehouse
How to use it
- 1 Go to arize.com and sign up for an account.
- 2 Connect or upload the agent data you want to observe and evaluate.
- 3 Use the tracing views to follow what the agent did, step by step.
- 4 Run evaluations across spans and sessions to find regressions.
- 5 Test prompt and tool changes, then deploy only the fixes that pass.
Who it is for
Pros
- Open standards and an open-source option give you control over your data
- Evaluation runs at scale, not just on a handful of samples
- The Alyx debugging agent helps find problems faster
- Storage connects to warehouses you may already use
Limitations
- It is built for teams already running agents in production, not for beginners
- The free option is a trial, so ongoing use needs a paid plan
- Setup requires connecting agent data in the right format
- It depends on the models and tools your agents already use
What Arize AI is
Arize AI is a platform for the observability, evaluation, and improvement of AI agents. Once an agent is running in production, the hard questions are behavioural: what did it actually do, where did it go wrong, and will this fix hold under real traffic. Arize traces agent behaviour, runs span tracking and session evaluation at scale, and gives you a place to test prompts and tools before a change reaches users. It is built on open standards, starting with OpenInference for generative AI observability, and it includes Phoenix, an open-source tool you can deploy locally, an AI engineering agent called Alyx that debugs other agents, and a storage layer that keeps trajectories in an open format and connects natively with BigQuery, Databricks, or Snowflake. Agent-native workflows run across tools such as Cursor, Claude Code, and OpenCode. A free trial is available.
What you can do with it
- Trace every step an agent takes and inspect the decisions behind it.
- Run span and session evaluations at scale to catch regressions early.
- Test prompt and tool changes before deploying them to production.
- Debug agents with Alyx, the AI engineering agent on the platform.
- Store agent trajectories in an open format and connect to your own warehouse.
Who it is for
- AI engineers who build and maintain agents running in production.
- AI product managers who need evidence before shipping a change.
- Enterprise technology teams that must audit and explain agent behaviour.
What to watch out for
This is infrastructure for teams that already run agents in production, so it is not a beginner tool, and setup assumes you can connect agent data in the expected format. The free option is a trial, ongoing use needs a paid plan, and pricing can change. It sits alongside your models and tools rather than replacing them, so its value depends on the stack you already have and on whether you can wire it up cleanly. Evaluating well also takes effort: someone still has to decide what good looks like and write the checks that measure it, and the platform will not tell you which behaviour matters to your users.
FAQ
What is Arize AI for?
It is a platform for observability, evaluation, and improvement of AI agents, so teams can see what an agent did and test changes before shipping them.
Is there an open-source option?
Yes, Phoenix is an open-source tool that can be deployed locally to trace model calls and run evaluations.
What is Alyx?
Alyx is an AI engineering agent on the platform that runs evaluations, debugs problems, and helps improve other agents.
Where can agent data be stored?
The storage layer keeps trajectories in an open format and connects natively with BigQuery, Databricks, or Snowflake.
Why it is free
What the official page says： free trial
Free limits, trial length and features are decided by the official site and can change at any time.
Product preview
Screenshot archived from the listing page, for preview only.
