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classifier-dev

mrmps/classifier-dev · Homepage

Zero-shot text classification over plain HTTP, powered by Jev.

Automated README summary

Automatically summarized from the README on 17 Oct 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.

What it is

A public zero-shot text classifier: send plain text and labels, get a label and calibrated confidence back. No API key or signup. Ships as one Cloudflare Worker, an npm CLI, and an MCP server.

How it uses Jev

Jev answers the classification decisions: state is an array of {id, text}, and each input gets its own typed question over the candidate labels. jev.ts packs inputs into batched requests and reads the returned probabilities; labels at or above 0.7 are returned, and low-confidence single-label answers are re-asked of a reasoning model.

Primitives:choicescore

Technique worth stealing

Batch many inputs into one Jev call by giving each item its own question, so a thousand texts cost one upstream request.

Try it

curl https://classifier.dev/spam,not+spam/Win+a+free+iPhone, or npm i -g classifier-dev then classify bug,feature,praise

View on GitHub

Start using Jev: API key and your first request →

Model judgments from README excerpts

Project signals use repository metadata, an existing summary and the first 700 README characters, not the full project. “Not found” means not detected in that material; it does not establish absence. These are the original judgments with recorded models and dates, not source audits or run results.

Models & evaluation dates

Inclusion gate
jev-1.13.0
Project signals
jev-1.13.0
Category
jev-1.13.0
Pattern tags
jev-1.13.0

Evidence

These signals use repository metadata, an existing summary and at most 700 cleaned README characters. ≥ 0.60 means reported in that excerpt; ≤ 0.40 means not found there. The middle band is inconclusive. None is a source-code audit or a test result. The runnable-tool question excludes research experiments; the recommendation question asks for a learning shortlist, not a quality verdict.

  • Jev is core to the projectnot found in the excerpt0.05
  • Shows a System One patternnot found in the excerpt0.34
  • Describes handling uncertaintynot found in the excerpt0.22
  • Reports measured numbersnot found in the excerpt0.05
  • Is a runnable toolFound in material0.98
  • Top-10 learning shortlist signalnot found in the excerpt0.11
  • Is a replica of the modelnot found in the excerpt0.27
  • Solves a common problem (0–2)score on a 0–2 scale1.93 / 2
  • About JevFound in material0.87
Signals
Jev is core to the project0.05Shows a System One pattern0.34Describes handling uncertainty0.22Reports measured numbers0.05Is a runnable tool0.98Top-10 learning shortlist signal0.11Is a replica of the model0.2700.51Solves a common problem (0–2)1.93 / 2012

no-judgment band (0.40–0.60)

Design patterns
Traffic light0.96Questionnaire0.94Funnel0.87Check-up0.83Fail open, fail closed0.51Prefetch0.2100.51

no-judgment band (0.40–0.60)

The Jev model and date for each judgment stage are listed above. Card written by DeepSeek V4.1 Flash from the README on 17 Oct 2026.