Arize AI records 249,028 monthly visits with +3.2% month-over-month growth and Paid, Contact for Pricing pricing. LangWatch records 52,098 monthly visits with +73% growth and Contact for Pricing pricing.
Agent observability, evaluation, and continuous improvement for production AI
Agent observability, evals and governance for AI platform teams
| Dimension / Metric | | |
|---|---|---|
| Official Domain | arize.com | langwatch.ai |
| Pricing Model | Paid, Contact for Pricing | Contact for Pricing |
| Monthly Visits | 249.03K (249,028) | 52.1K (52,098) |
| MoM Traffic Delta | +7.67K (+3.2%) | +21.98K (+73%) |
| Primary Market & Share | 🇺🇸 United States (51.6%) | 🇺🇸 United States (46.7%) |
| Direct Visits / mo | 107.84K | 28.99K |
| User Rating | 4.6 | 4.6 |
| 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.
Agent observability, evals and governance for AI platform teams
Full GenAI spec support means traces from LangChain, LangGraph, CrewAI, Mastra, Pydantic AI, the Vercel AI SDK and any OTel-compatible stack land in the same view, with tokens, cost and cache accounted per span.
Score single outputs or entire conversations with an LLM judge, custom code or a workflow, run evals from a notebook or UI, and evaluate live production traffic in real time.
Simulated text and voice users push agents turn after turn in realistic scenarios, runnable locally and in CI, with tools, skills and MCP servers traced and mockable.
Route OpenAI, Anthropic, Google, Bedrock, Mistral and other providers through one endpoint using your own keys, with budgets per person, team and customer and around 11 microseconds of overhead.
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.
Free / Open-sourceAI gateway, observability and guardrails for production LLM apps
Free / Open-sourceAI gateway, observability and guardrails for production LLM apps
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
Free / Open-sourceOpen-source AI gateway with observability and evals built in
Free / Open-sourceOpen-source AI gateway with observability and evals built in
Free / Open-sourceThe collaboration layer for AI engineering teams
Free / Open-sourceThe collaboration layer for AI engineering teams
Free / Open-sourceStandardize LLM evaluation, observability, and red teaming across your whole org
Free / Open-sourceStandardize LLM evaluation, observability, and red teaming across your whole org
Free / Open-sourceOpen-source LLM observability and AI gateway for shipping reliable AI apps
Free / Open-sourceOpen-source LLM observability and AI gateway for shipping reliable AI apps
Free / Open-sourceAI governance, testing, and observability for regulated enterprises
Free / Open-sourceAI governance, testing, and observability for regulated enterprises
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
Provides enterprise governance and model explainability features, but has a steeper setup curve for pure LLM tracing.
Provides enterprise governance and model explainability features, but has a steeper setup curve for pure LLM tracing.
