Our take
Arkham
Arkham delivers a specialized approach to blockchain analytics, combining entity-level address attribution with direct portfolio tracking and transaction visualization. Rather than operating as a conventional accounting ledger or custodial financial intermediary, the platform aggregates public on-chain activity across multiple networks into structured entity profiles. Operators can inspect token balances, historical counterparty links, and smart contract executions through customizable dashboards and automated alerts. The web interface provides substantial investigative utility without demanding private keys or account custody. However, users should treat proprietary identity clustering as analytical intelligence rather than definitive legal proof. While the core visual platform provides robust open access, organizations seeking high-frequency data integration must negotiate dedicated enterprise agreements. Overall, Arkham represents a powerful investigative tool for monitoring market participants and complex asset flows.
MakerDAO / Sky
MakerDAO, transitioning under the Sky brand ecosystem, delivers deep decentralized financial infrastructure for collateralized debt positions and stablecoin yield accumulation. The architecture allows participants to interact directly with permissionless smart contracts, generating Sky Dollar (USDS) or legacy DAI against supported crypto collateral. Depositors can allocate funds into the Sky Savings Rate (SSR) or DAI Savings Rate (DSR) to earn programmatic returns derived from protocol stability fees and balance sheet assets.
While the non-custodial structure eliminates counterparty bankruptcy exposure associated with centralized crypto platforms, participants remain exposed to smart contract bugs, variable borrowing costs, governance decisions, and collateral liquidation triggers during market volatility. Sky suits experienced on-chain market participants who require transparent self-custody over custodial lending platforms and understand decentralized risk dynamics.