Developer builds rule-based crypto wallet classifier to test on-chain label readability

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A developer created a browser-based card game called LabelMe to explore how much of a crypto wallet's classification can be inferred from raw on-chain numbers alone. The project uses ten real Ethereum wallets, each displaying four Nansen-computed metrics — PnL, top trades, balance profile, and counterparty mix — and asks players to assign one of five labels: Smart Money, Exchange, Whale, Contract/Pool, or Regular. Answer keys are derived directly from Nansen API calls rather than the developer's own judgment, making the ground truth as objective as possible. Alongside the game, the developer wrote a minimal threshold-based rule reader — no machine learning model involved — to determine how accurately simple numeric rules can replicate Nansen's labeling. The experiment found that activity volume and token diversity were stronger signals for Smart Money classification than win rate or realized PnL.

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