Nansen AI Gains Traction for On-Chain Analysis
Crypto traders are increasingly using Nansen AI to analyze on-chain data and track "smart money" wallet activity on Ethereum and Solana. Users have shared success in identifying early wallets in surging tokens like $PUNCH. Others noted workflow improvements from the platform's agent and token screener, which can cross-reference whale activity with broader market rotation patterns.
- Nansen's "smart money" tracking is powered by a proprietary database of over 500 million labeled wallet addresses. The platform uses direct verification, transaction pattern analysis, and clustering techniques to identify and tag these addresses. - The platform's analytics extend far beyond Ethereum and Solana, with integrations for over 28 blockchains including Arbitrum, Avalanche, Base, BNB Chain, and Polygon. - "Smart Money" labels are broken down into specific, performance-based categories such as "Smart NFT Trader" for consistently profitable NFT traders, "Airdrop Pro" for wallets excelling at receiving valuable airdrops, and time-based labels like "30D Smart Trader" for the most profitable wallets in the last month. - The company has raised a total of $88.2 million in funding across three rounds. Its Series B round in December 2021 raised $75 million and was led by Accel, with participation from prominent venture firms like Andreessen Horowitz (a16z) and Tiger Global. - In a recent expansion from pure analytics, Nansen launched an integrated trading solution on Solana and Base. This feature allows users to execute trades directly from the platform through partnerships with liquidity aggregator Jupiter and OKX DEX, with cross-chain routing handled by LI.FI. - Beyond just profitable traders, Nansen also applies behavioral labels to identify wallets such as "Memecoin Whale," for addresses holding over 0.1% of a memecoin's supply, and "New Token Specialist," for wallets that derive most of their profits from trading tokens within two days of their launch. - The recently launched AI-powered trading feature is designed for "conversational trading," allowing users to execute trades through natural language prompts on its mobile app, a method the company refers to as "vibe trading."
