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Derives behaviour classes from on-chain activity: share of swaps, regularity of intervals, hour-of-day spread, counterparty count and contract code.
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Derives behaviour classes from on-chain activity: share of swaps, regularity of intervals, hour-of-day spread, counterparty count and contract code. Several classes at once are allowed and usually more accurate than one. Every class carries its evidence; without evidence no class is set. automation_likelihood comes from measurable traits - interval regularity and how evenly activity spreads over the day - listed in features_used, never from a hunch. Limits: this classifies BEHAVIOUR, not people.Overview
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