
Nansen
"Research, Analyze, and Trade Crypto in One Intelligent Loop"
Rating & Utility
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How We Calculate Utility Score
Our Utility Score is calculated based on a weighted analysis of Platform Functionality, User Experience (UX), Ecosystem Integration, and Active Usage. We evaluate the practical value of the tools, feature availability, cross-chain support, and real-world adoption metrics across the Web3 ecosystem.
Note: Utility scores are dynamic and update as apps release new features or add network support. Users should evaluate features based on their own use cases.
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Overview
Nansen is an agentic onchain intelligence platform that empowers crypto investors to research, analyze, and execute trades within a single unified workflow. Its core value lies in transforming raw blockchain data — drawn from 500M+ labeled wallet addresses — into actionable Smart Money signals that drive faster, more confident trading decisions.
Founded and incorporated as Nansen Pte. Ltd. (Singapore), Nansen has established itself as a leading blockchain analytics provider serving both retail and institutional crypto participants. The platform has evolved from a data dashboard into a fully integrated agentic trading environment, supporting web, iOS, and Android with real-time onchain data aggregated across multiple chains including Solana, Ethereum, and others.
Performance
Real-time onchain data across 500M+ labeled addresses with signal-to-trade execution achievable in seconds via aggregated routing.
Web
Available as a full-featured web app at app.nansen.ai and as a native mobile app on iOS and Android for on-the-go trading.
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Rating & Utility
AVG Rating By Community
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How We Calculate Utility Score
Our Utility Score is calculated based on a weighted analysis of Platform Functionality, User Experience (UX), Ecosystem Integration, and Active Usage. We evaluate the practical value of the tools, feature availability, cross-chain support, and real-world adoption metrics across the Web3 ecosystem.
Note: Utility scores are dynamic and update as apps release new features or add network support. Users should evaluate features based on their own use cases.
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