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Description
Create Stripe-like SDKs and documentation tailored for your API with ease. Provide type-safe SDKs in widely used programming languages, allowing Fern to handle the complex task of generating and distributing client libraries, enabling your team to concentrate on API development. Simply import your API definition, whether in OpenAPI format or Fern’s more straightforward alternative. Choose from a variety of code generators, including TypeScript, Python, Java, Go, Ruby, C#, and Swift, to suit your needs. Fern takes care of semantic versioning and publishes packages to various registries like npm, pypi, and maven, ensuring seamless integration. Plus, enjoy visually appealing API documentation that aligns with your brand identity for a cohesive user experience. This way, you can enhance both the functionality and presentation of your API offerings.
Description
Jev is TypeSafe AI’s first public System One Model, a class of AI designed to make fast, structured decisions that software can consume directly. Instead of generating arbitrary strings like a traditional large language model, Jev produces predefined type-safe values accompanied by calibrated probabilities and confidence estimates. Its architecture generates outputs in parallel rather than autoregressively producing one token at a time, allowing the model to prioritize speed and computational efficiency. TypeSafe trains Jev using Reinforcement Learning for Calibrated Decisions, an approach intended to optimize for accurate uncertainty estimates and consistent structured outputs. The model can be embedded into conventional software as an intelligent decision layer for classification, scoring, routing, extraction, branching, and other tasks where hand-written rules would be too rigid. Jev can also be used to judge, verify, guardrail, or detect problematic behavior in outputs from other AI systems. TypeSafe reports typical end-to-end response times between 70 and 500 milliseconds and positions the model for applications where low latency is important. The company also emphasizes schema guarantees, meaning Jev’s outputs are constrained to the structures defined by the application rather than requiring developers to parse and validate unrestricted generated text. Jev is aimed at developers and organizations building automation, real-time software, large-scale data workflows, and production systems that require dependable structured AI decisions.
API Access
Has API
No
API Access
Has API
No
Integrations
Sayari
No
Pricing Details
$250 per month
Free Trial
No
Free Version
No
Pricing Details
Input: $0.042 / 1M tokens
Input tokens: $0.042 / 1 million tokens ($42 per billion tokens).
Output tokens: FREE (too cheap to meter).
Output tokens: FREE (too cheap to meter).
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Fern
Founded
2022
Country
United States
Website
buildwithfern.com
Vendor Details
Company Name
TypeSafe AI
Founded
2024
Country
United States
Website
typesafe.ai/
Product Features
API Management
API Design
No
API Lifecycle Management
No
Access Control
No
Analytics
No
Dashboard
No
Developer Portal
No
Testing Management
No
Threat Protection
No
Traffic Control
No
Version Control
No
Software Documentation
Access Roles / User Permissions
No
Automatic Documentation Generation
No
Collaboration Tools
No
Docs Web Hosting
No
Feedback Capture
No
Markdown Support
No
Multiple Formats Support
No
Multiple Versions Support
No
Version Control
No
WYSIWIG Editor
No
Webhooks
No
reStructured Text Support
No
