Institutional quantitative risk analytics infrastructure for digital asset markets.
- Figurebtc2026-0790 ↓ 84Score moved from 90 to 84.
- Hodl Hodl P2Pbtc2026-0762 ↓ 56Score moved from 62 to 56.
- B2C2M52026-0764 ↓ 23Score moved from 64 to 23.
- Flow TradersM52026-0773 ↓ 49Score moved from 73 to 49.
- Cumberland (DRW)M52026-0766 ↓ 23Score moved from 66 to 23.
- FalconXM52026-0766 ↓ 26Score moved from 66 to 26.
- GSRM52026-0764 ↓ 22Score moved from 64 to 22.
- Jump CryptoM52026-0712 ↑ 27Score moved from 12 to 27.
How ACI interprets risk.
Explore how ACI interprets risk across providers, modules, and methodology. Each ACI Risk Indicator is derived from structured evidence — not opinion, not inference.
What drives the MakerDAO ACI Risk Indicator?
The ACI Risk Indicator for MakerDAO reflects collateralisation ratios, DAI peg stability, liquidation threshold margins, and governance concentration metrics — each derived from on-chain data and publicly available protocol documentation. No single factor determines the output; the ACI Framework v1.0 applies a deterministic weighted computation across all criteria.
ACI's outputs are deterministic, its methodology is versioned and public, its evidence is dated and sourced, and every published ACI Risk Indicator is independently verifiable on the Bitcoin blockchain without trusting ACI. That combination is what makes it a defensible input into investment decision-making.
ACI computes risk. You decide how to allocate capital.
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