Feature

Spend Tracking

See AI token spend in real time by organization, team, project, key, model, and provider. Catch overspend before the invoice arrives.

Spend view

Live token spend grouped by the team, key, and model that drove it.

Spend

Real-time

Breakdown

Model + provider

Forecast

Burn rate

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.

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.

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.

Feature basics

Frequently asked questions

What is real-time AI spend tracking?

Real-time AI spend tracking attributes token cost to the team, project, key, model, and provider behind each request as the request happens. Instead of waiting for a monthly provider invoice, finance and engineering see a running total and can break it down by owner over any time window.

How does predictive spend forecasting work?

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.

Concentrate looks at the current burn rate for a balance or budget and projects when it will run out. Paired with balance and spend spike alerts, that forecast gives finance time to top up credits, raise a key limit, or pause a workload before requests start failing.

Can finance use spend tracking without provider dashboards?

Yes. Finance can review ownership, totals, and forecasts in Concentrate while engineering keeps request-level logs for debugging. Nobody needs a login to each provider console to answer where the spend came from.

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Offices