Big upgrade to the API powering the Activity dashboard. View and query your AI usage per agent, per model, and per request.
Spend, tokens, cache hit rate, latency, and blended cost per token, with drill-down from any chart. Features 👇
Runaway agent monitoring: Trends sort the same data by movement instead of size.
A panel ranks what's rising and falling across models, users, API keys, and apps, which makes it easy to spot a runaway agent or a new model gaining traction in your org.
Explore lets you assemble the view yourself:
pick a metric (spend, tokens, cache hit rate, or latency down to P50/P90/P99), group by dimensions like model, app, user, or any classifier, and choose your rollup. Views can be saved for your or shared w your whole org.
New: Upgraded Analytics API
Everything in Explore is also available through the new Analytics API. Call /analytics/meta to see supported metrics and dimensions, then query:
AI agent — An AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.
token — The chunk of text a model reads and writes in — roughly three-quarters of a word — and the unit AI usage is billed in.
Why it matters
You can hand a coding AI agentAn AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.Full definition → a management key and have it audit your own tokenThe chunk of text a model reads and writes in — roughly three-quarters of a word — and the unit AI usage is billed in.Full definition → spend, finding the runaway key or mispriced model, with cache hit rate and latency percentiles queryable per agent and per request.
Read the full thread on X ↗
