Monitor and control AI/LLM API costs across OpenAI, Anthropic, Gemini and other providers
Persistent Linux computers for AI agents, from about $0.03 an hour
Stage
MVP
Not given
Founded
Not given
Not given
Based in
IN
Not given
Pricing model
Free trial
Paid
Pricing
Free during beta
ac-2: $0.000008 per second ($0.0288 per hour), $13.50 monthly cap. ac-4: $0.000016 per second ($0.0576 per hour), $26.10 cap. ac-8: $0.000032 per second ($0.1152 per hour), $49.50 cap. ac-16: $0.000064 per second ($0.2304 per hour), $89.10 cap. ac-32: $0.000128 per second ($0.4608 per hour), $178.20
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
Full Debian 13 Linux VM with root access
Docker and Docker Compose included
Chromium desktop with screenshots and input actions
Private HTTPS preview URLs for any port
SSH access including VS Code over SSH
Pause and resume with state preservation
HTTPS API with MCP server support
Per-second billing with monthly caps
Snapshots and private images
Spend controls and monthly limits
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
Persistent state preserved across pause and resume cycles