Data Sources & Inputs
The Snowball AI Score is generated using a hybrid approach, combining on-chain and off-chain metrics.
On-chain Data
The AI Scoring system analyze 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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