Openlayer: Stronger focus on compliance enforcement and AI governance, but less specialized for deep developer tracing workflows. Arize AI records 249,028 monthly visits with +3.2% month-over-month growth and Paid, Contact for Pricing pricing. Openlayer records 48,415 monthly visits with -6.4% growth and Freemium, Contact for Pricing pricing.
Agent observability, evaluation, and continuous improvement for production AI
AI governance, testing, and observability for regulated enterprises
| Dimension / Metric | | |
|---|---|---|
| Official Domain | arize.com | openlayer.com |
| Pricing Model | Paid, Contact for Pricing | Freemium, Contact for Pricing |
| Monthly Visits | 249.03K (249,028) | 48.42K (48,415) |
| MoM Traffic Delta | +7.67K (+3.2%) | -3.3K (-6.4%) |
| Primary Market & Share | 🇺🇸 United States (51.6%) | 🇺🇸 United States (44.1%) |
| Direct Visits / mo | 107.84K | 25.94K |
| User Rating | 4.6 | 4.4 |
| Supported Platforms | Website | Website |
Agent observability, evaluation, and continuous improvement for production AI
Capture spans, traces, and sessions across agents and LLM calls using OpenInference conventions built on OpenTelemetry, so instrumentation stays portable.
Run evaluations at span, trace, and session level to grade retrieval quality, tool use, and final answers across large production datasets.
An in-product agent that inspects traces, diagnoses likely root causes, and proposes fixes that engineers can review before shipping.
Self-host the leading open-source tracing and eval tool when you need to keep trace data inside your own infrastructure.
AI governance, testing, and observability for regulated enterprises
Dozens of pre-built evaluations cover quality, safety, security, and performance, with LLM-as-a-judge scorers, session-level metrics, and support for writing your own custom tests against your own data.
Import a repository and run evaluation suites automatically on every change, benchmark each iteration, and block releases when a metric regresses beyond the threshold you define.
Trace every request through multi-step agent workflows, including tool calls and retriever steps, with token counts, latency, cost per request, alerting integrations, and subpopulation analysis.
Register each AI system with an owner, purpose, data sensitivity, and risk tier, score inherent risk across multiple dimensions, and move systems through staged approval gates before they reach production.
Excels at experiment tracking and model registry workflows, but is less purpose-built for real-time LLM production observability.
Excels at experiment tracking and model registry workflows, but is less purpose-built for real-time LLM production observability.
SpecialistAttack-led AI security testing and red teaming
SpecialistAttack-led AI security testing and red teaming
Free / Open-sourceBuild, simulate, evaluate and monitor self-improving AI agents
Free / Open-sourceBuild, simulate, evaluate and monitor self-improving AI agents
Free / Open-sourceEvaluate, monitor, and govern your AI applications in production
Free / Open-sourceEvaluate, monitor, and govern your AI applications in production
SpecialistThe collaboration layer for AI engineering teams
SpecialistThe collaboration layer for AI engineering teams
Standardize LLM evaluation, observability, and red teaming across your whole org
Standardize LLM evaluation, observability, and red teaming across your whole org
Free / Open-sourceAgent observability, evals and governance for AI platform teams
Free / Open-sourceAgent observability, evals and governance for AI platform teams
Free / Open-sourceOpen-source observability that finds your AI agent's failures — and fixes them
Free / Open-sourceOpen-source observability that finds your AI agent's failures — and fixes them
Free / Open-sourceOpen-source workspace for building, evaluating and shipping AI agents
Free / Open-sourceOpen-source workspace for building, evaluating and shipping AI agents
SpecialistThe control plane for trusted enterprise agents and models
SpecialistThe control plane for trusted enterprise agents and models
Full-stack observability with an AI SRE agent that fixes issues
Full-stack observability with an AI SRE agent that fixes issues
Enterprise AI governance platform for agents, models, and vendors
