How much does Arize AI cost?

Pricing is freemium. AX Free is free, AX Pro costs $50, and AX Enterprise is custom. A free hosted tier is available via sign-up, and a fully open-source path exists through Phoenix.

Who should use Arize AI?

It is best for teams running LLM agents or RAG in production needing real tracing and regression testing. Solo builders shipping side projects should skip it, as the OSS Phoenix tool likely covers their needs.

Is Arize AI secure for enterprise use?

Yes, it meets the enterprise checklist including SOC 2 Type II, ISO 27001, HIPAA, and GDPR. It is aimed at AI engineering teams in larger organizations with reference customers like Reddit and Uber.

What is the core workflow of Arize AI?

The core loop is trace, eval, learn. It captures agent behavior on the OpenInference standard, runs span/trace/session-level evals, and helps iterate on prompts before shipping.

Arize AI

✓ Editorially verified

Enterprise observability and evaluation platform for LLM agents and generative AI applications.

Freemium· AX Free: Free · AX Pro: $50 · AX Enterprise: CustomEvaluationMulti-model8.2 / 10

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In short

Arize AI provides enterprise observability and evaluation for LLM agents and RAG systems. It features real tracing, automated evals, and a free open-source option via Phoenix.

Best for

Pick Arize if you're running LLM agents or RAG in production and need real tracing, evals, and regression testing rather than ad-hoc logging.

Skip if

Skip it if you're a solo builder shipping a side project; the OSS Phoenix tool alone will likely cover your needs.

Arize AI is a production-grade observability and evaluation platform built for teams running LLM agents, RAG systems, and copilots at scale. Its core loop is trace, eval, learn: capture every span of agent behavior on top of the open OpenInference standard, run span/trace/session-level evals, then iterate on prompts and workflows before shipping. The platform also ships Alyx, an AI engineering agent that helps debug failures, plus a purpose-built GenAI trace datastore (adb) that the company says handles roughly a trillion spans and a billion evals per month.

It's aimed squarely at AI engineering teams inside larger orgs, with reference customers like Reddit, DoorDash, Uber, and Spotify, and the usual enterprise checklist of SOC 2 Type II, ISO 27001, HIPAA, and GDPR. Pricing isn't public, but there's a free hosted tier via sign-up and a fully open-source path through Phoenix, Arize's self-hostable observability and eval tool, which makes it one of the few eval vendors with a credible OSS on-ramp.

Integrations cover 40+ tools across the GenAI stack: OpenAI, Anthropic, LangGraph, LangChain, CrewAI, and the three major clouds. Self-hosted deployment is supported alongside the managed SaaS, which matters for regulated workloads.

Editor's take

Arize is the most credible end-to-end eval and observability stack for agentic systems right now, and the Phoenix OSS layer gives teams a low-risk way to start. The trade-off is enterprise gravity: pricing is gated, and the full platform really shines once you have meaningful traffic and a team that cares about regressions.

— The AI Tool Bible editorial team

Pros

✅ Strong open-source story via Phoenix and OpenInference
✅ Span/trace/session-level evals tuned for agentic workflows
✅ Scales to trillions of spans with enterprise compliance (SOC 2, HIPAA, GDPR)
✅ Broad framework coverage: LangGraph, LangChain, CrewAI, OpenAI, Anthropic
✅ Self-hosted option for regulated deployments

Cons

⚠️ Public pricing is opaque; serious usage means a sales call
⚠️ Feature surface is heavy for solo developers or hobby projects
⚠️ Best value assumes you've standardized on OpenInference tracing

Use cases

llm-observabilityagent-evaluationrag-tracingprompt-testingproduction-monitoring

Frequently asked

How much does Arize AI cost?: Pricing is freemium. AX Free is free, AX Pro costs $50, and AX Enterprise is custom. A free hosted tier is available via sign-up, and a fully open-source path exists through Phoenix.
Who should use Arize AI?: It is best for teams running LLM agents or RAG in production needing real tracing and regression testing. Solo builders shipping side projects should skip it, as the OSS Phoenix tool likely covers their needs.
What integrations does Arize AI support?: It covers 40+ tools across the GenAI stack, including OpenAI, Anthropic, LangGraph, LangChain, CrewAI, and the three major clouds. Self-hosted deployment is supported alongside managed SaaS.
Is Arize AI secure for enterprise use?: Yes, it meets the enterprise checklist including SOC 2 Type II, ISO 27001, HIPAA, and GDPR. It is aimed at AI engineering teams in larger organizations with reference customers like Reddit and Uber.
What is the core workflow of Arize AI?: The core loop is trace, eval, learn. It captures agent behavior on the OpenInference standard, runs span/trace/session-level evals, and helps iterate on prompts before shipping.