Togai

Teams use Togai by wiring product activity into a single metering workflow and letting billing outputs flow to their invoicing tool. After instrumenting your app to send events (API requests, GB processed, minutes streamed, seats used, feature toggles), you either stream them continuously or upload batches from logs and data pipelines. Togai then normalizes those events, keeps running totals per customer or account, and applies the rules you set—such as tiered rates, minimums, bundles, discounts, and proration—so the numbers match the plan you sell.

In day-to-day operations, finance and product teams rely on it to replace manual reconciliations. Usage can be reviewed during the billing period, anomalies can be spotted earlier, and disputes are easier to resolve because charges trace back to underlying events. When the cycle closes, Togai generates billable line items and pushes them into systems like Stripe, Zuora, Chargebee, or Recurly, so invoices reflect the latest measured consumption without custom scripts.

Metering.ai is typically used when non-engineering teams need to define calculations without writing code. You map incoming event fields, choose aggregations (sum, count, unique, thresholds), and test outputs against sample data before going live. This setup is common when rolling out a new consumption plan, adjusting pricing logic for a segment, or adding a new metric to an existing plan while keeping the same billing provider and reducing the risk of calculation errors.