Useful AI observability without complex setup, availabile in minutes and built for developers.
Start for free View docsCurrently observing AI agents' behavior and costs at
"One line of code gave us real visibility into AI costs, performance, and errors. I might be biased, but it’s a great tool."
— Damjan Dano
founder @ aqtos.com
Tracium is a developer-first observability layer for AI systems. It lets you track costs, trace requests, debug failures, compare prompts and models, and detect drift in real time, all across models, tools, and agents, in one place.
Track token spend and infra cost across models, agents, and workflows in real time.
Capture, classify, and replay failures across model calls, tools, and agent steps.
Trace every request end-to-end, including tool hops, agent steps, and model invocations.
Slice usage, cost, latency, and outcomes by customer, workspace, or environment.
Compare prompts, models, and routing strategies with live traffic and outcome metrics.
Detect shifts in inputs and outputs before performance silently degrades.
Simple pricing that scales with your needs. Start free and get full observability, evaluation, and optimization from day one./p>