arize-com

arize-com

Arize is an AI engineering platform for agent observability, evaluation, and continual learning that helps teams trace, evaluate, and improve production AI agents. It offers a managed platform (Arize AX), an open-source observability and evals tool (Phoenix), and related tooling such as the adb datastore and Alyx engineering agent.

arize-com is ai agents software teams evaluate for ai agents. Use this page to review pricing, integration signals, and the best alternatives before you commit.

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#524 in AI Agents (524 tools)
Added 0 year ago
Data reviewed Jul 15, 2026

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Quick Overview

Best for: AI Agents

What it does

AI Agents software for decision-makers comparing workflow fit and alternatives.

Best fit

AI Agents

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arize-com

Arize provides an AI engineering platform focused on tracing, evaluation, and continual learning for production AI agents. The offering includes Arize AX, a managed platform with a high-scale observability datastore and continual improvement workflows, and Phoenix, an open-source observability and evaluation tool built on OpenInference and OpenTelemetry standards. The platform targets AI engineers and teams building chatbots, RAG systems, copilots, and agent-based applications, enabling them to trace agent behavior, run large-scale evaluations, and iterate to improve agent performance and reliability.

AI observability and evaluation platform for AI applications from development to production.

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Key Features

Observe (Tracing & Spans)

Trace what agents actually did with span, trace, and session-level observability powered by OpenInference and OpenTelemetry standards.

Evaluate (Evals Framework)

Run automated, scalable evaluations (span, trace, and session evals) to measure whether agents are improving or regressing.

Improve (Continual Learning & Testing)

Test prompts and harnesses faster and validate whether fixes improve agent performance before deploying to production, enabling a continual learning loop.

Alyx (AI Engineering Agent)

An in-app AI engineering agent that runs evals, debugs issues, and helps improve agents by suggesting fixes or running tests.

adb (Observability Datastore)

A scalable datastore for GenAI traces that stores agent trajectories and context in open formats and connects to BigQuery, Databricks, or Snowflake via DataFabric.

Phoenix (Open-source Observability & Evals)

A self-hostable, open-source tool to trace LLM calls, run evaluations, investigate failures, and keep control of data.

OpenInference Standards

Built on OpenInference semantic conventions (and OpenTelemetry) to provide interoperable, non-proprietary tracing formats for GenAI observability.

Agent-native Workflows & Integrations

Supports agent-first debugging and agent-native development across tooling such as Cursor, Claude Code, OpenCode and more.

Pricing

Current pricing details are not available from the vendor source.

Use Cases

Agent debugging and root-cause analysis

Trace agent executions and inspect spans, traces, and sessions to understand what happened inside each request and debug failures.

Automated evaluation and quality monitoring

Run scalable evals to measure agent performance over time and detect regressions or improvements in production.

Continuous improvement and prompt testing

Test prompts and harnesses, validate fixes, and close the continual learning loop to improve agent behavior before deploying changes.

Observability for generative AI applications

Support for chatbots, RAG systems, copilots, and agents to monitor production performance and improve model and workflow quality.

Integrations

OpenAI

Integrates as one of 40+ models and tools supported for tracing and evals.

Anthropic

Supported model integration for agent observability and evaluations.

Google / Amazon Bedrock

Works across cloud providers and models including Google and Amazon Bedrock.

LangGraph, LangChain, LlamaIndex

Integrates with popular agent and orchestration frameworks to capture traces and run evals.

OpenAI Agents SDK, CrewAI, DSPy

Connects to agent SDKs and tools to enable agent-native debugging and evaluation.

Benefits

Turns production signals into a continual learning loop to make agents better over time.
Enterprise-grade security and compliance to keep customer data under control.
Open-source and standards-based interoperability (OpenInference/OpenTelemetry) for portability and transparency.

Limitations

No verified limitations are available.

Frequently Asked Questions

How do I get started?
Connect your agent or application to Arize and send your first trace. Traces show what happened inside each request, giving you the data needed to debug, evaluate, and improve your agents. You can also ask Alyx for help once set up.
Does Arize work with my stack?
Arize integrates with 40+ models, frameworks, and AI tools (including OpenAI, Anthropic, Google, Amazon Bedrock, LangGraph, LangChain, LlamaIndex, CrewAI, OpenAI Agents SDK, DSPy). It’s built on OpenInference and OpenTelemetry and works across Google Cloud, AWS, Azure, and self-hosted environments.
What about data privacy?
Arize states that your data stays under your control, supports flexible deployment options, and is certified to standards including SOC 2 Type II, ISO 27001, PCI DSS, HIPAA, and GDPR. More details are available in the Arize Trust Center.
Can I use Arize for generative AI?
Yes—Arize is built for modern AI applications, including chatbots, RAG systems, copilots, and agents. Teams use it to understand agent behavior, measure quality with evaluations, monitor production performance, and continuously improve prompts, models, and workflows.
What’s the difference between Arize products?
Phoenix is the open-source platform for local/self-hosted tracing and evals. Arize AX is the managed AI engineering platform that adds managed infrastructure, the adb datastore, advanced agent observability, online evals, and continual improvement workflows.

Getting Started

  1. 1 Step 1: Connect your agent or application to Arize and send your first trace.
  2. 2 Step 2: Start setting up traces and run evaluations to inspect agent behavior and measure quality.
  3. 3 Step 3: Use Alyx (in-app agent) for guidance, or book a demo / consult docs for onboarding help.

Support

docs

Documentation and product docs (links available on the site) to set up tracing, evals, and integrations.

book a demo / sales

Book a demo from the website to get product walkthroughs and onboarding assistance.

trust center / security

Arize Trust Center provides security and compliance information and resources.

API

Available: No

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