Thousands of listings sorted by what the site has no filter for.
Justine Moore scanned thousands of Zillow listings with Jev and classified the properties by architecture, renovation status and how close they are to a freeway. None of those are filters on the site. She puts the run at under 20 seconds and $0.18.
A worked guide to Jev's Score primitive: writing a request, defining rubric levels, reading recorded probabilities and the weighted-score math.
Jev Trader · Research & data
Jev Trader
Guide
Research & data
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Sends a detected bot's last 48 request paths to Jev, which picks what it's after (prices, articles…) and how it crawls (pagination, IDs…), or unknown.
WebDecoy · Research & data
WebDecoy
Resource
Research & data
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Paste an article or post link. Fake / Real extracts its claims, finds outside evidence, and has Jev judge whether the evidence supports or contradicts each one.
@DansiDanutz · Research & data
@DansiDanutz
Site
Research & data
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Combines rubric science and LLM-as-a-judge research to grade outputs with AI judges: LLMs, decision models like Jev, or both.
@deliprao · Research & data
@deliprao
Site
Research & data
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Jev can serve as better natural language search on websites. It can scan thousands of Zillow listings and classify properties by things you can't normally filter for - e.g. architecture, renovation status, proximity to freeways. This was done in <20 sec and costs $0.18 👇
