Tokens are useful cost data, but they are not always the best customer-facing value unit.
Meter actions, workflows, outputs, calls, tokens, or credits
Keep cost metadata behind a customer-friendly unit
Model free, included, PAYG, and committed usage
Control the promise
Enforce policy before cost occurs.
Turn packaging decisions into product behavior without scattering entitlement logic across the application.
Check allowance before the model or vendor call
Block, throttle, top up, or allow overage
Change plan policy without redeploying the product
Close the loop
Give customers and billing the same truth.
Expose usage before the invoice and synchronize validated events with the commerce system that already owns payment.
Embed usage, allowance, and forecast context
Identify likely runout and expansion
Send billing-ready usage to Stripe
A practical first deliverable
Build an AI Monetization Blueprint before a broad implementation.
Define one AI feature, one value unit, one plan, one customer usage experience, and the events required to operate it. Then instrument that bounded path first.
Turn a pricing decision into a working usage model.
Start with your current cost and customer assumptions, then carry the result into UsageTap Meter.