Onchain Atlas scores tokens with Jev and GoldRush data
GoldRush supplies onchain data and code turns it into plain-English evidence, then Jev gives each token one choice plus a confidence score, with high confidence passing, medium going to a second model and low going to a human; 3,000 tokens have been judged this way.
We wanted to judge tokens as fast as we could fetch them, so we built Onchain Atlas with GoldRush + Jev. GoldRush handles the raw onchain data. Code turns it into plain-English evidence before Jev sees it. The model does not calculate holder counts, supply percentages, dates, or USD values. Code does that. Jev then gives each token one choice + one noul, with a confidence score. High confidence goes through. Medium gets a second model. Low goes to a human. 3,000 tokens judged this way. Search them in plain English Try here : http://onchain-atlas-weld.vercel.app