AI agent analytics: monitor build performance, costs, and model quality.
Running AI agents without cost and quality tracking leads to runaway spending and inconsistent output.
Agent Tracker provides operational intelligence for AI-powered build pipelines. It tracks every agent-run build from start to finish, measuring runtime, token usage, cost, and QA score, then surfaces per-model performance benchmarks so you can optimise which models run which tasks.
Every AI agent build logs its runtime, token usage, cost, and resulting QA score. The tracker aggregates this data into per-model dashboards, so you can compare which models produce the best results for the lowest cost. Trend charts surface usage spikes and quality regressions over time.
I build operational tools, dashboards, and automation systems. Let's talk about what your team needs.