Sybil-scorer is a powerful Python package that provides developers and sybil slayers with a range of tools for analyzing the behavior of addresses. The package was started during the Data Builder Hackathon in January 2023. The main goal was to develop legos that can be easily reused by anyone to analyze and fight sybils on the blockchain.

The package includes three main sub-packages: sbdata, sblegos, and sbutils. The sbdata package allows developers to easily retrieve a large amount of data from the flipside API, including transactional data from an address. The sblegos package is the core of Sybil-scorer, providing a range of analysis legos for on-chain transaction analysis. These legos include seed detection and analysis of transaction similarity. The sbutils package provides easy-to-use methods for loading data extracted with sbdata and using it in sblegos. For any individual address, the sblego package allows extracting 200+ features characterizing the activity of the address.

Future work on the Sybil-scorer project will focus on adding new transactional analysis legos. Additionally, we will use labels from the flipside API to filter similar seed wallet addresses.

Funding this project will help build an open-source Python library that anyone can use to analyze and extract insight with a well-known language.

Sybil-scorer is supported by the OpenData community, a community of web3 data enthusiasts helping defend web3 at the data layer.