Spend that updates in real time
- Every model call is priced and logged the moment it happens, not batched into a monthly summary.
- Spend can be broken down by hour, team, model, or project without waiting on a report.
Analytics that go beyond a total number
- See which model is driving cost, which team is responsible, and when the spike happened not just how much was spent.
- Spot a runaway job or misconfigured integration within the hour, not at month end.
Why real-time matters more than monthly reporting
By the time a monthly invoice shows an anomaly, the spend has already happened and the budget is already blown. Real-time analytics turn AI spend from a lagging cost report into something finance and engineering can actually act on while it's still happening.
Where this fits
Frequently asked questions
How current is the spend data shown?
Spend updates as usage happens, typically within moments of a model call, not on a daily or monthly delay.
Can we break spend down by model or team?
Yes. Analytics can be filtered by model, team, project, or time window without needing a custom report.
Does this replace the need for a monthly invoice review?
It significantly reduces it most anomalies are caught the same day they happen, rather than discovered at invoice time.
