AI API cost intelligence & control
Monitor spend. Forecast risk. Deploy Guardrails. Build AI without flying blind.
Free during beta · No credit card required
The problem
Most teams don't see the problem until the invoice arrives.
A single upstream timeout triggers cascading retries. Your costs triple in hours. Your dashboard won't show it until the invoice arrives.
GPT-4 answering questions that GPT-3.5 handles fine. You're paying premium prices for commodity inference — at scale.
More users should mean more time. Instead, each new customer accelerates your burn. Growth becomes a liability.
You're projecting burn in Google Sheets with linear assumptions. API costs don't scale linearly. Your model is wrong.
Positioning
AtlasBurn is not
AtlasBurn is
Features
Clear visibility and control over AI API costs — from monitoring to guardrails.
Real-time visibility into token usage, cost distribution, and model spend across providers.
Predict API cost trajectories based on usage patterns. Detect runway compression early.
Define thresholds and enforce protections against runaway AI usage and unexpected spikes.
Track complex AI workflows and multi-call agent behavior across your application.
I'm talking to teams building AI-native products to understand how they manage API costs.
If this is a problem you're dealing with, I'd like to hear from you.
Limited spots available
Provider & framework support
Drop-in cost intelligence across the providers and frameworks your AI stack already runs on.
Providers
Frameworks
FAQ
Visibility, forecasting, and guardrails for production AI systems.
AI API cost intelligence. Simple visibility. Real control.
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