One API for hundreds of AI models with unified billing and refundable balance
Monitor and control AI/LLM API costs across OpenAI, Anthropic, Gemini and other providers
Stage
Startup
MVP
Founded
2026
Not given
Based in
Not given
IN
Pricing model
Paid
Free trial
Pricing
Usage-based prepaid credits with transparent per-token pricing. Examples: GPT-6.1 Terra from $0.15 input / $0.75 output per 1M tokens; Claude Haiku 5.5 from $0.03/M input / $0.12/M output; Claude Opus 5.5 from $1.12/M input / $5.6/M output. First top-up receives 10% bonus credits (up to $200, minimu
Free during beta
Key features
One API for hundreds of models across OpenAI, Anthropic, Google, DeepSeek, MiniMax and more
OpenAI, Anthropic, and Vertex protocol compatibility
Multi-layer redundancy with automatic failover
Usage-based billing with no monthly minimum
Only successful requests are billed, failures are free
Refundable balance at any time
Visible rate limits per account
Support for text, image and video workloads
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
What makes it different
Reliability-first architecture with multi-layer redundancy across network, gateway and model layers
Transparent, refundable balance instead of locked-in subscriptions
Unified billing across all model families with one invoice
Health-aware routing across vendors with automatic failover
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