| What it does | Small model. Big decisions.
| Not given
|
|---|
| Stage | Not given
| Not given
|
|---|
| Founded | Not given
| Not given
|
|---|
| Based in | CA
| Not given
|
|---|
| Pricing model | Freemium
| Free
|
|---|
| Pricing | Test plan: 125 million free input tokens per month with test_sk keys. Production plan: $0.04 per million input tokens with prod_sk keys (no charge for output tokens). Minimum credit bundle of $10 to unlock production access.
| Not given
|
|---|
| Key features | - Classification with score distribution and confidence
- Text and image extraction
- Yes/no decisions with probability
- Entity recognition and extraction
- Field verification against source
- Multi-level classification (classify-tree)
- OpenAI SDK compatibility
- Sentiment or tone rating
- Question answering with source spans
- SDK support for TypeScript and Python
| - 39 scientific models across mathematics, physics, chemistry, engineering, life sciences, economics and geospatial analysis
- 3,438 capabilities with worked examples and formulas
- Desktop app for Windows and Linux
- Command-line interface for scripts and terminal
- In-browser calculator on every model page
- Python packages via pip
- SpaceBuild for space system design with 146 products
- MachineBuild for engineering and mechanical design with 1,042 products
- Capability orb visualization of all 3,438 capabilities
- No internet or account required
|
|---|
| What makes it different | - Optimized for bounded decisions with millisecond latency, avoiding slow token-by-token generation
- Extremely cost-effective at $0.04 per million input tokens with no output token charges
- 125 million free test tokens monthly with no card required
- Production-ready with REST API, SDKs, and CLI interfaces
- Structured responses enable direct application logic without additional parsing
| - Runs completely offline with no data sent anywhere
- Shows all working and formulas for every calculation
- No sign-up required or accounts needed
- Available as desktop app, CLI, browser, and Python package
- Models improve themselves through local research
|
|---|
| Free plan | Not given
| Not given
|
|---|
| Open source | Not given
| Not given
|
|---|
| Platforms | Not given
| Not given
|
|---|
| Public API | Not given
| Not given
|
| Community votes | 0 | 0 |
| DR (Domain Rating by Ahrefs) | 18 ▼ −1 (down) since last check | Not checked yet ● no change since last check |
| Trust Flow (Majestic) | 28 | 0 |
| Citation Flow (Majestic) | 31 | 0 |
| Referring domains (Majestic) | 42 | 0 |