Protocol Economics: Quality, Durability & Capital Efficiency

This dashboard joins TVL, fees, total revenue, treasury revenue, holder revenue, and supply-side revenue. The quality score is category-relative: 28% capital efficiency, 24% fee capture, 18% revenue scale, 16% run-rate stability, and 14% momentum. It is a screening model, not an investment rating.

The next views reconcile multiple fee and revenue datasets into a normalized economic stack. The no-code builder can chart each metric separately, but it cannot join the components, derive the residual, normalize the mix, or classify the resulting revenue model.

The time-series model full-joins category fees and revenue by date, rolls them into weeks, and calculates an eight-week capture average. The cross-sectional model ranks each protocol against category peers using window functions rather than a global leaderboard.

These models join fundraising and exploit-event history to current TVL, fees, and revenue. They answer questions that require aggregation across unrelated datasets: what operating footprint followed funded capital, and which exploited protocols still retain meaningful activity?