An LLM gateway for Claude, GPT, Gemini and open models at or below list price
A 4B model that estimates numbers from text with calibrated intervals
Stage
Not given
Not given
Founded
Not given
Not given
Based in
AE
Not given
Pricing model
Paid
Freemium
Pricing
Per million tokens, with live pricing capped at list price. Models range from $0.07-$0.27 per million input tokens and $0.23-$1.08 per million output tokens. For example: Claude Opus 5.5 at $1.09 input/$5.45 output per million tokens, GPT-6-Luna at $0.08 input/$0.40 output per million tokens, Deepse
First 1,000 estimates free. Pricing for additional estimates available upon request.
Key features
Works with existing OpenAI and Anthropic SDKs without code changes
Integrates with Cursor, Cline, Claude Code and Vercel AI SDK
Live pricing capped at model provider list price
60+ models including Claude, GPT, Gemini and open-weight models
Intel TDX trusted execution environment with hardware attestation
Pay-as-you-go billing with no top-up fees
Prompt encryption for open models inside TEE enclave
SayGM Desktop AI agent for local file work
Switch models mid-chat in Desktop
Model routing across competing operators for availability
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
Up to 70% discount vs list price on frontier and open models
Sealed privacy with hardware-verified Intel TDX attestation anyone can check
Supports all major model providers in one API without SDK changes
Transparent live pricing that never exceeds official model provider rates
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
SayGM
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