Usage limits and cost control for AI and API workloads
Enforce Limits in the Request Path
A billing system sits downstream of your application. It ingests usage events after the work has happened, aggregates them and produces an invoice, which makes it excellent at accounting and unable to stop an overage. By the time the event arrives the tokens are spent and your provider has already billed you. OpenMeter checks the balance where the request is served, so a call can be refused before the cost is incurred rather than reported afterwards.
Limits at Every Identity
Most spend controls are a single number for the whole account, which makes every user a shared-fate risk. An agent stuck in a retry loop overnight can spend a month of budget belonging to hundreds of people. Because the subject is a key carried on the usage event, a metered entitlement can sit at the organization, the customer, the team or the individual key. The runaway hits its own ceiling and everybody else keeps working.
Prepaid Credits and Balances
A credit is a unit of value you define, and it stays stable while provider prices move underneath it. When a new model ships or token costs shift, the customer's balance still applies, with no retroactive repricing and no plan migration. Wallets can be funded promotionally, by invoice, or through your own payment stack, with drawdown priority you control and a configurable choice at zero: block the next call, or extend a negative allowance on purpose.
Balances Your Customers Can See
Limits get treated as a defensive feature, and they are also a growth one. Asked for their top two pricing problems, 30% of outcome-priced companies and 20% of usage-priced companies say customers self-police their usage and spend, which means those customers are deliberately using less than they want to because they do not trust the bill. A balance the customer can see, set limits against and rely on is what lets them stop rationing.
Change Prices Without a Deploy
Three in four B2B software companies changed pricing or packaging in the last twelve months. If a price change needs a release, your repricing cadence is your deploy cadence. Rate cards in OpenMeter are versioned data, so a new price is a new version rather than a pull request, plans can be grandfathered per customer, and entitlements move between tiers without touching the code that enforces them.
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