Monitor and control AI/LLM API costs across OpenAI, Anthropic, Gemini and other providers
Zero-retention inference for frontier models
Stage
MVP
Startup
Founded
Not given
Not given
Based in
IN
MX
Pricing model
Free trial
Freemium
Pricing
Free during beta
Pay as you go from $10. Monthly subscriptions: Run $19/month, Run Plus $99/month (5× allowance), Run Max $199/month (10× allowance). Model pricing per million tokens varies: qwen3.8-max $2.00 input/$6.00 output, claude-haiku-5-5 $0.10 input/$0.50 output, claude-sonnet-5 $2.00 input/$10.00 output, cl
Key features
AI API cost intelligence across 13+ providers
Burn forecasting under different growth scenarios
Guardrails that alert, slow down or block features when budgets are exceeded
Agent usage monitoring
Per-feature cost breakdown
Cost modeling under stress conditions
Zero-retention guarantees with signed cryptographic receipts for every API call
OpenAI-compatible API endpoint
Web-based chat interface with encrypted conversations
Access to 15+ frontier models including Claude, Gemini, Qwen, DeepSeek
Python SDK and R package support
Receipts show token usage, cost, model, provider and retention basis
No data storage on offrec infrastructure
Models run on managed third-party providers
What makes it different
Forecasting-first approach with probabilistic cost modeling, not just historical tracking
Guardrails that automatically enforce budget controls before costs spiral
Privacy-preserving: stores only usage metrics, never prompts or user data
Probabilistic risk modeling designed for AI-native startups
Fail-open SDK so AI calls continue even if AtlasBurn is unavailable
Every call returns a cryptographically signed receipt proving zero retention
No need to negotiate zero-retention terms with each provider individually
Unified access to frontier models from multiple labs via single API key
Offrec owns no infrastructure; models run on managed providers
Verifiable accountability through transparent receipt system
AtlasBurn
offrec