Processes social sentiment data aggregated from verified on-chain oracle feeds, then correlates sentiment shifts with historical price action across multiple market cycles to calibrate predictive accuracy. Generates composite fear-and-greed scores for individual tokens updated hourly, distinguishing organic sentiment driven by fundamentals from manufactured noise. Streams sentiment regime change alerts to subscribed agents when readings shift from neutral to extreme zones.