Spectral’s MACRO Score helped prove a critical mass of blockchain data is available for analysis. Find out how technologies like zero-knowledge machine learning (zkml), verifiable computing, and competitive machine learning are creating new use cases for on-chain data.
Zero-Knowledge Machine Learning offers incredible opportunities for addressing some of the basic problems with public blockchains. Here, Spectral examines the state of the art, and talks to Modulus Labs, Jason Morton, Dante Camuto, and Daniel Kang.
Spectral is developing its next tool and needs your help! We're conducting 30-minute product interviews with data scientists, machine learning modelers and other data and web3 experts.
The first MACRO Score Capital Efficiency simulation, looking at Aave V2 Ethereum borrowers. High MACRO Score users had lower liquidation rates, repaid more often, and had healthier accounts.
Lending platform Teller will begin incorporating Spectral MACRO Scores into their creditworthiness assessment.
Talking to Simon Emanuel Schmid, Edge & Node's Developer Experience manager about The Graph, a decentralized indexing protocol Spectral Finance uses to speed its access times and organize its data.
Spectral dives deep into the emerging reputation and identity landscape and finds a much more welcoming ecosystem than the old Dark Forest paradigm.