Real-time billing rates and applies each usage event the moment it happens, and can check a customer's balance before the event runs. Charges settle continuously rather than at the end of a billing cycle.
Real-time billing collapses metering and charging into one step. Instead of recording usage and rating it later, the system prices each event as it happens and can check whether the customer has the balance to cover it before the event runs. It is the model AI products reach for when a single request can carry real cost.
How Real-time billing works
When a usage event occurs, the billing system rates it immediately and applies it to the customer’s balance. In a prepaid model it first authorizes the event against the remaining balance: if funds are sufficient it allows and debits; if not, it can block. There is no waiting for a cycle to close.
This differs from invoice-based billing, which aggregates events over a period and rates them at the end. The architectural shift is moving the charge decision from after consumption to before or during it, which is what makes hard spend controls possible.
Real-time billing examples
An AI product debits a customer’s prepaid balance on every model call and triggers an auto top-up when the balance runs low. A customer who runs out can be blocked before incurring cost the vendor cannot recover.
A compute platform meters GPU-seconds and draws them down live, showing the customer a balance that ticks down as jobs run, rather than a surprise invoice at month end. For the AI-specific case, see real-time billing for AI products.
Real-time billing vs Invoice-based billing
| Real-time billing | Invoice-based billing | |
|---|---|---|
| When usage is rated | The moment it happens | At the end of the cycle |
| Balance check | Before the event (can block) | After the fact |
| Exposure | Capped before spend | Discovered at month end |
| Best for | High-cost-per-event AI usage | Stable, post-paid subscriptions |
Benefits & when to use it
Real-time billing matters when usage carries real, variable cost and the business needs to control exposure before it happens. It enables prepaid wallets, hard spend caps, live balances, and customer self-service top-ups, none of which an invoice cycle can deliver.
It is overkill for products with stable, predictable subscriptions, where invoice-based recurring billing is simpler. The model earns its complexity when a single customer’s consumption can move margin materially.
FAQ
What is the difference between real-time billing and real-time metering?
Real-time metering tracks usage as it happens but still rates and charges at the end of a cycle. Real-time billing goes further: it rates and applies each event immediately and can authorize against a balance before the event runs.
How is real-time billing different from invoice-based billing?
Invoice-based billing aggregates usage and rates it at cycle end, so exposure is discovered after the fact. Real-time billing rates each event as it happens and can block usage before it occurs, capping exposure before spend.
Why do AI products need real-time billing?
Because a single inference or job can cost real money. Waiting for a monthly invoice means a customer can run up cost the vendor cannot recover. Real-time authorization stops the spend before it happens.
How Credyt handles Real-time billing
Real-time billing is what Credyt is built for. Every usage event is authorized against a customer's multi-asset wallet before it runs and debited the moment it is recorded, with live balances, customer-set auto top-up, and hard wallet controls available. Credyt sits in front of an existing payment processor, so teams add real-time control without replacing their stack. Explore Credyt →