Token Metering and Billing for AI Products
Meter every AI token per user and feature, enforce credit limits and export a clean billing ledger to Stripe.
The problem
AI apps lose margin because every request has a real cost and nobody knows which user or feature burns it.
The solution
A proxy between your app and model APIs that attributes tokens to users and features, enforces credits and syncs usage to Stripe.
Why now
Usage-based and credit pricing became standard for AI products, and building metering in-house wastes months.
Who pays
Early AI SaaS teams (seed to Series A) shipping usage-based or credit plans.
Market size
$900M (estimated addressable market)
Build plan
PROTech stack & AI models
MVP scope (ship in 2-4 weeks)
Pricing model
First customers & go-to-market
Copy-paste prompt to start building
Unlock the build plan
Everything you need to start building Token Metering and Billing for AI Products this week.
- Exact stack and which AI model to use
- MVP feature list you can ship in weeks
- Pricing and first-customer playbook
- Ready-to-use Claude prompt