One API key for accessing 268+ AI models across 45+ providers with automatic failover and smart routing
A 4B model that estimates numbers from text with calibrated intervals
Stage
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Founded
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Based in
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Pricing model
Freemium
Freemium
Pricing
Free: 141 free models with no cost. Pay as you go: add credit from $1 to $10,000 with no expiration. Subscriptions: Starter $20/month for $40 API credit, Pro $50/month for $100 API credit, Scale $100/month for $200 API credit. All plans provide 2x credit multiplier on subscriptions.
First 1,000 estimates free. Pricing for additional estimates available upon request.
Key features
OpenAI-compatible API endpoint
Access to 268+ AI models from 45+ providers
Automatic provider failover
Support for Claude, GPT, Gemini, and DeepSeek models
Built-in character chat client
Support for SillyTavern, RisuAI, and character chat clients
Works with coding agents like Claude Code, Cline, and Roo Code
Multi-protocol support including Anthropic and Gemini compatibility
Support for up to 1M token context windows
Private conversations stored in browser only
Returns median, quantiles, and calibrated intervals for numerical estimates
Processes text records in a single forward pass without text generation
Responds in approximately 160 milliseconds
Flags when targets are outside training distribution or intervals lack calibration guarantees
Supports few-shot learning with at least eight labeled examples
Trained on 36 public sources
Calculates probability of exceeding user-specified thresholds
For count targets can return probability of each whole number
Accepts text input without requiring schema declaration or preprocessing
Costs roughly two orders of magnitude less per prediction than frontier models
What makes it different
One API key for all models instead of managing multiple provider keys
Automatic provider failover with transparent retry logic
No model gating by subscription tier
Built-in chat client with character support and no server storage
Pay-as-you-go with no expiration or subscription required
Provides calibrated uncertainty quantification where language models cannot
Transparently reports when calibration guarantees are absent
Dramatically faster inference than text-generating alternatives at 160ms
Designed for unstructured text without requiring labeled training data
Explicitly signals new, unseen targets with fallback capability for code
UnoRouter
maap