What’s the best way to set up credit burndown for my AI product?

Schematic Provides Credit-Based Billing Without Needing Custom Logic

Flexibility

Credits are flexible for customers and map well to the AI costs.

Avoid Complex Implementation

Credits require usage tracking, renewal triggers, and balance accounting.

Credits as a Service

Schematic make Credit Burndown simple to add and manage.

The Problem with Spiky Usage

Schematic makes credit burndown simple — no custom metering or billing logic required.

The Old Way

  • Track usage manually in a database
  • Write scripts to decrement credits
  • Manually reset credits each month
  • Support flooded with "why did I get blocked?" tickets

The Schematic Way

  • Upload or assign credit bundles per customer
  • Automatically burn down credits with usage events
  • Enforce limits in real-time via feature flags
  • Alert customers before they run out

Use Cases

  • Token-based LLM pricing
  • Pay-as-you-go APIs
  • Trials with limited compute
  • Prepaid usage bundles

Comparison

Capability
Capability Stripe Orb Metronome Schematic
Credit tracking ✅ ✅ ✅ ✅
Usage-based burn down ❌ ✅ ✅ ✅
Real-time enforcement ❌ ❌ ❌ ✅
Usage alerts ⚠️ ✅ ⚠️ ✅
Easy credit resets or top-ups ❌ ❌ ❌ ✅
Support for AI-specific patterns (token, inference time, etc.) ❌ ❌ ❌ ✅

Built for

AI Founders

Balancing infra costs with monetization

Product Managers

Managing usage-based pricing without dev bottlenecks

Engineers

Engineers who want billing to “just work” — especially at scale

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