Jev Data

An independent ecosystem tracker that rescans GitHub, X, and five directories every three hours, publishing 220+ documented Jev cases with confidence grades and a JSON API.

A Rust CLI and PyO3 library that streams JSONL and Parquet rows through Jev Noul and Score rubrics, writing clean and rejected records to disk without rewriting content.

An OpenTelemetry exporter wrapper that scores each log record with Jev for diagnostic value, priority, and routing, letting low-value events skip an LLM-analysis branch while every record stays in your archive.

A Python library that reranks search results and filters retrieved documents with Jev, scoring each candidate's usefulness as evidence and dropping those below a configurable threshold before RAG context is assembled.

A record-linkage library and CLI where the match rule is written in plain English: Jev answers pair questions with a probability, with local candidate blocking and match resolution.

A local screening workbench for a folder of CVs: it asks Jev a small fixed set of typed questions about each candidate, scores the answers with plain arithmetic you can read, and shows a sortable shortlist.

A CLI and Python library that selects source-linked evidence within a token budget using Jev Noul relevance judgments plus local diversity-aware selection, with no labels, vector database, or generative model required.

SQLite C extension that exposes Jev as SQL functions (jev_noul, jev_choice, jev_score) so queries can classify states such as ticket bodies directly, with only libcurl as a dependency.

Text-only classifier for 261 federal tax forms that sends each PDF page's text to Jev, which returns a probability over forms and page kinds behind a confidence gate; no model is trained.

A comparison arena that runs the same batch of review comments through Jev and DeepSeek, showing processing time, cost, and per-label results with CSV/Excel import, replay, and offline reports.

An on-demand crypto decision-support terminal that ingests 50-1,000 tweets through a two-tier statistical pipeline, then has Jev's System One answer four typed questions and return a decision card with entry ranges, stop losses, and targets without executing trades.

A Python multi-agent stock research workspace covering 12 markets with optional JEV trading decisions: configure a TypeSafe key, select the JEV decisions-only strategy, and get buy/sell/hold, probabilities, and confidence without a research report.

A Python library that adds .jev accessors to pandas and Polars: ask a natural-language question per row and get labels, scores, and full probability distributions back.

A zero-dependency Node library and CLI that adds Jev natural-language predicates and decision tables to SQLite, with batching, caching, review queues, and saved decisions queryable as ordinary SQL tables.

A DuckDB extension that classifies rows in CSV, Parquet, or DuckDB tables with Jev, reported at about 10 seconds for 1,000 rows and framed as more ergonomic than a bespoke classifier.