Data Sources & Inputs

The Snowball Reputation Score is generated using a hybrid approach, combining on-chain and off-chain metrics.

On-chain Data

The Reputation Scoring System analyzes user activity across blockchain interactions, including but not limited to:

  • DeFi: Lending, borrowing, staking, yield farming

  • DAO: Governance voting and proposal activity

  • NFT: Volume, diversity, and historical holding patterns

  • Cross-Chain Wallet Balances: Portfolio composition across EVM-compatible, MoveVM, Solana, and other blockchains

  • Protocol Diversity: Engagement with a wide range of dApps and protocols.

  • Sybil Resistance Signals: Wallet uniqueness, behavioral entropy, and MEV avoidance

  • Risk Factors: History of interaction with scam tokens, mixers, or suspicious contracts

Off-chain Data

  • Social Media Influence:

    • Follower count, engagement rates, post frequency

    • Sentiment analysis from platforms like Twitter, Reddit, LinkedIn

  • Community Interactions:

    • Mentions by known KOLs (Key Opinion Leaders)

    • Content quality (relevance, consistency, authenticity)

  • Professional Reputation:

    • Open-source contributions on GitHub

    • Developer Q&A on StackOverflow

    • Endorsements or recommendations on LinkedIn

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