Skip to content

Jev glossary

API & ModelsZDR

Zero data retention

The enterprise data-handling option: Jev is not trained on customer requests or responses, and ZDR is available for enterprise accounts.
Category
API & Models
Also known as
ZDR
Reading time
1 min
Related terms
3
Directory entries
16
Docs
docs.typesafe.ai
Added
2026-09-24

Definition

The models page states that Jev is not trained on customer requests or responses and points to the legal pages for the Data Processing Agreement, the Privacy Policy, and zero data retention for enterprise customers.

It matters for regulated workloads: the decision contract can be inspected, and the data path can be contracted, separately from the model's accuracy characteristics.

Tagsapilegal

From the Jev directory

Directory entries that go deeper on this term.

The model card for jev-1.13.0: $42 per billion input tokens with free output, a 64k context, 250k tokens per second, and how to list the models your account can call.
Jev Guides & ArticlesDocs#official#docs#models
Official
TypeSafe AI's product site for Jev, its first System One Model: typed decisions with calibrated confidence, performance and pricing claims, a FAQ, and links to the docs, console, workflow evals, and launch post.
Jev Guides & ArticlesDocs#official#docs#models
Official
3GitHub stars
A screenshot hotkey redactor for macOS, Linux and Windows that blacks out API keys, tokens, emails, phone numbers, names, internal hostnames and QR codes before the image reaches the clipboard; optional AI checks use the TypeSafe Jev API.
Jev Tools & CLIs#community#github#security
Ollaya's site for its local decision-model runtime: one binary pulls open checkpoints and serves them on TypeSafe-compatible endpoints, now at Ollaya 0.8.0 with an app and command line for macOS, Windows, Linux, and Docker.
Jev Tools & CLIs#community#local#runtime
Community
94GitHub stars
A privacy-first Chrome and Edge extension that dims, collapses, or hides noisy replies, posts, and ads on X using local, reversible keyword and account rules, with an optional Jev second pass for replies no rule matched.
Jev Tools & CLIs#community#catalog-import#logicrw
A systematic study of Jev's security and privacy implications using the official API and NanoJev, a local model with controllable training data. It adapts prompt injection, adversarial suffixes, and poisoned training data, runs inference attacks against typed outputs, and maps dual uses.
Jev Practices & PatternsArticle#community#research#arxiv

10 more matching entries in the full directory.

From the Jev AI model community

Posts from builders shipping with Jev right now.

Follow @typesafeai