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The Emergence of Data Science in Web3

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.

The State of Zero-Knowledge Machine Learning (zkML)

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 User Research Program

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.

Proving Capital Efficiency (Part 1)

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.

Teller begins incorporating Spectral MACRO Scores

Lending platform Teller will begin incorporating Spectral MACRO Scores into their creditworthiness assessment.

How Spectral Uses The Graph

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.

Defining the Reputation Stack

Spectral dives deep into the emerging reputation and identity landscape and finds a much more welcoming ecosystem than the old Dark Forest paradigm.

The QuestHub explores using Spectral wallet signals

A company offering uncollateralized cryptocurrency loans begins exploring Spectral Finance's on-chain MACRO Scores for creditworthiness assessment.

The State of On-chain Proof of Income

A primer on proof of income, an emerging aspect of web3. Find out what it is, read about key players, concepts, and how Spectral is beginning to approach the data science behind it.

Celebrating Women's History Month

Spotlight on three tremendous Spectral staffers during Women's History Month: Margarita Kirakosyan, Dima Durah, and Laney Ching.

Forecasting Risk with Predictive Algorithms and DeFi Data

By providing real-time threat awareness, financial reputation primitives, and creditworthiness assessment Spectral is helping build out web3's blockchain security stack.

Announcing our ETH Denver Bounty Winners

Announcing the winners of our hackathon, a copy of Sishir Varghese's speech, some vital statistics, and much more!

Spectral’s ETH Denver Bounty

Spectral is sponsoring $15,000 worth of bounties. Read on for an introduction to Spectral, a description of the bounties, judging criteria, and links to resources.

Defining Risk in DeFi

Considering systematic risk in decentralized finance and the protocols, dApps working to counter them, and how predictive risk forecasting and artificial intelligence could usher in the blockchain's true potential.