Jevotron: Multiple Jev integrations from the command line
Jevotron is a new command-line tool designed to perform field-level anomaly detection on various data formats like CSV, JSON, and YAML. It allows users to provide guidance to an AI model to scan datasets for suspicious entries, providing a review queue and caching mechanism for efficiency.
Why it matters
This tool represents the growing trend of integrating LLM-based analysis into developer workflows to automate data quality checks and anomaly detection.
Give jevotron a file and a little guidance. Get field-level anomaly scores, a focused review queue, and a cache that makes the next run cheaper.
Run your first scan Explore the commands Install agent skills
$ jevotron scan airports.csv --guidance "Check airport locations." First, set your API key
Get a key from the TypeSafe dashboard and set it in your shell:
export TYPESAFE_API_KEY = "your-api-key" Already set? You're ready to scan. preview needs no key. API key setup → · See the actual airport results →
Inspect chunks, field paths, and exact model requests before making an API call.
Jev scores selected fields together. Each entry gets the same guidance and optional examples.
Sort suspicious entries, export CSV, or pipe JSONL into your existing shell workflow.
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