Feature
Spend Tracking
See AI token spend in real time by organization, team, project, key, model, and provider. Catch overspend before the invoice arrives.
Live token spend grouped by the team, key, and model that drove it.
Spend
Real-time
Breakdown
Model + provider
Forecast
Burn rate
Support
$18.4k
Largest model spend this month, grouped under the support team's keys.
Agents
$7.8k
Coding-agent usage attributed to engineering keys and trending up week over week.
Research
$3.2k
View costly workloads by team, key, and model in the app.
New capabilities
What your team gains with Concentrate
Real-time spend by owner
Watch token spend update in near real time by team, project, app, key, model, and provider. No waiting on a monthly provider invoice to find out where the money went.
Predictive burn and depletion
See where spend is heading at the current burn rate and when a balance or key limit will run out. Finance can top up or cap usage before requests start failing.
Anomaly and spike detection
Flag spend that deviates from a workload's baseline. A runaway agent loop, a prompt change, or a model swap shows up the same day instead of at month-end.
Who Concentrate is designed for
What real-time AI spend tracking gives finance and engineering
Concentrate records spend per request and rolls it up by owner. No waiting on a monthly invoice to find out where the money went.
Attribution by owner
Every request carries the team, project, app, and key that made it, so spend rolls up to a real owner instead of a single shared provider bill.
Per-request cost basis
Spend is built from request-level token counts (input and output) and model pricing, so a number can always be traced back to the calls behind it.
Forecasting and alerts
Burn-rate forecasts and spend spike alerts turn tracking into early warning, not just a month-end report.
One source for finance and engineering
Finance reviews ownership and totals while engineering keeps the request logs behind them, so cost conversations start from the same numbers.
Feature basics