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.
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The Problem with Spiky Usage
Schematic makes credit burndown simple — no custom metering or billing logic required.
The Old Way
The Schematic Way
Use Cases
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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
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
Token-based LLM pricing
Pay-as-you-go APIs
Trials with limited compute
Prepaid usage bundles
Capability
Stripe
Orb
Metronome
Schematic
Credit tracking
✅
✅
✅
✅
Usage-based burn down
❌
✅
✅
✅
Real-time enforcement
❌
❌
❌
✅
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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Usage alerts
⚠️
✅
⚠️
✅
Easy credit resets or top-ups
❌
❌
❌
✅
Support for AI-specific patterns (token, inference time, etc.)
❌
❌
❌
✅
