The most-called smart contract function across all EVM chains is approve(). The second-most is the one people forget they ran.
Concentration, dependency chokepoints, and modeled stress impact across every tracked vault. The view an allocator builds before committing capital, not after.
Where each vault is exposed and where the exposures pile up. The bottom row shows the dollar concentration that survives diversification.
Dollar exposure of every vault to every protocol — direct and indirect. Reading right-to-left shows where structural risk piles up across the curator universe.
Where the tracked universe's capital sits, direct or indirect. Click any row to expand the per-vault breakdown; sort by $, breadth, concentration (HHI), or composite blast radius.
Visualizing every vault → protocol relationship. Nodes with many heavy incoming lines are the protocols whose failure would damage multiple vaults simultaneously.
Every vault → every protocol it touches, edge width = dollar exposure. Hover a node to isolate its dependencies, click to pin and read the stats panel.
Standardized tail events applied to every vault. Use to rank by drawdown profile rather than headline APY.
Modeled NAV impact per vault across a shared set of historically plausible and structurally relevant tail events. Each cell value is derived from the same formula shown on the vault detail page:impact = − shock × exposed share × pass-through. Cells show—when the scenario does not apply (e.g. an LRT shock to a vault with no LRT collateral).
One short paragraph synthesizing where TVL concentrates, the cap-weighted risk shape, and any notable depeg signals — per asset class. Generated from the same deterministic inputs surfaced below.
USD stablecoin vaults aggregate $1.35B TVL with a cap-weighted risk score of 34/100 and 10.38% APY; Steakhouse USDC dominates at $412M (risk 22, 8.94% APY) and Block Analitica DAI Conservative follows at $246M (risk 21). Exposure splits across stablecoin and oracle risk (26% each), with lending (13%), LST/LRT (18% combined), and bridge/DEX (12% combined) forming a mid-weight tail; the Re7 Pendle Carry vault ($185M, 18.42% APY) and MEV leverage strategy ($119M, 13.71% APY) inject higher complexity (risk 64 and 58 respectively) into the class. No depeg signals are active, but 86% utilization flags tightness.
ETH & LST vaults concentrate $380.3M across two positions with sharply divergent risk profiles. Gauntlet WETH Prime dominates at $287.9M (76% of class TVL) with a conservative 4.62% APY and risk score 19, while Re7 WETH LRT Leverage contributes $92.4M at 11.24% APY but risk 71—pulling the cap-weighted class metrics to 6.23% APY and 32 risk. Exposure splits evenly between stablecoin and oracle dependency (28% each), with secondary concentration in LRT/LST (13%/11%); 82% utilization and Pendle exposure (6%) at lower leverage indicate moderate structural stress tolerance, but the bifurcated risk distribution reflects material tail risk in the leveraged LRT slot.
The BTC vault class is concentrated entirely in a single Gauntlet-managed cbBTC vault on Base ($71.4M TVL, 2.41% APY, risk score 28/100). Exposure splits across bridge risk (34%), lending (27%), stablecoin (17%), and oracle layers (17%), with minimal LST exposure (5%). At 72% utilization, the class carries low complexity (31/100) and moderate risk profile, with no active depeg alerts on the loan asset.