Analistas de investigación de mercados y especialistas en marketing Read how the crowd is POSITIONED around a coin during a social spike and whether that positioning is EXTREME vs the coin's own history — not a news summary. Use when a token is trending, its social volume / dominance is spiking (now or at some past date), or someone asks "what happened with X / why is it being talked about / is this hype real / is the crowd long or short here / who is driving it". Turns raw `social_messages` into four signals: (1) extremeness vs a trailing baseline (percentiles, not adjectives), (2) organic vs manufactured (copies, channel/author concentration, acceleration shape), (3) narrative-vs-chain divergence (the crowd's concrete claims tested against on-chain flows), (4) crowd price-level clusters (the support / targets people actually name). Surfaces the dominant trending topics driving the spike (the "what happened") and delivers a positioning VERDICT with denominators and source links, then answers follow-up questions on the same pulled data.
2026-06-12