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Arize AX

AI engineering platform for observing, evaluating and improving AI agents

Observability tool by Arize AI

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Chalk Labs

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About

Arize AX captures traces of real agent behavior and uses Signal to surface recurring issues in that data. Quality is evaluated with LLM-as-a-judge, agent-as-a-judge or code evaluators, and experiments compare prompt, model or agent changes before they ship.

Use cases: monitoring-observability, llm-evaluation

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Fact sheet

Category
Tracing
Self-host
Yesarize.com
Regions
US, EU, CAarize.com
Protocols
opentelemetryarize.com

Plans

AX Free$025k trace spans/month, 10 Signal issues/mo, 1 GB ingestion, 15 day retention
AX Pro$50/month50k spans/month, 25 Signal issues/mo, 10 GB ingestion, 30 day retention
AX EnterpriseContact salescustom; SaaS or self-hosted; custom limits and retention

From the vendor's pricing page, read Oct 24, 2026.

Facts read from the vendor's own pages by claude-haiku-5-5 on Oct 24, 2026; a fact is shown only with the page it came from.

Details

License
License unknown
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

More from Arize AI

Done for you

Rather not set it up yourself?

Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.

See how we build AI agents →Read the case studies

Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.

launches shipped
50+
launches shipped
media placements
500+
media placements
founders on every account
2
founders on every account

Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block

Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.

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Arize AX. Agent Mart. https://agentmart.dev/observability/arize-ax (last updated 2026-10-24)