Nansen launches AI crypto chatbot powered by smart money
Nansen, a Singapore-based blockchain analytics firm, launched Nansen AI – the conversational crypto trading chatbot uses data from top-performing wallets across more than 24 public blockchains to help users research trades and monitor market activity.
The AI assistant runs on Anthropic's Claude large language model and draws from Nansen's database of labeled wallet addresses. Users can ask trading questions in natural language, and the chatbot provides answers based on on-chain activity and portfolio data. The system operates in two modes: a fast mode and a more detailed "expert" mode.
Nansen AI can explain trading strategies, surface market opportunities, and scan discussions on X to track sentiment and emerging narratives. The chatbot continuously refreshes its market analysis using Nansen's real-time data feeds. Internal testing shows the system performs better than general-purpose models like ChatGPT and Grok when answering crypto-specific questions.
The company reduced its entry-level subscription price from $99 to $69 per month starting today. During a product demonstration, the chatbot suggested a strategy for Solana holders that included splitting funds between staking, higher-liquidity tokens, and new token discovery while emphasizing risk controls and profit-taking rules.
The company reduced its entry-level subscription price from $99 to $69 per month starting today. During a product demonstration, the chatbot suggested a strategy for Solana holders that included splitting funds between staking, higher-liquidity tokens, and new token discovery while emphasizing risk controls and profit-taking rules.
“In a few years, this agentic experience will feel as natural as mobile banking is today,”said Alex Svanevik, Nansen co-founder and CEO.
Nansen warned that responses can contain errors, as with any large language model product, and users should verify information before making trades. Safety measures are being implemented to prevent the automated trading features from acting on incorrect information.
Developers plan to add automated trading features before the end of 2025. The company is currently testing agentic trading bots internally that would execute user-approved trades based on predetermined rules. Users would retain custody of their funds and must authorize each transaction before execution.
At the core of Nansen’s model is address attribution and the tracing of capital flows on public blockchains. The company identifies wallets that belong to successful traders and monitors their activities to spot trends and opportunities. This "smart money" tracking forms the foundation of the new AI assistant's knowledge base.
Developers plan to add automated trading features before the end of 2025. The company is currently testing agentic trading bots internally that would execute user-approved trades based on predetermined rules. Users would retain custody of their funds and must authorize each transaction before execution.
At the core of Nansen’s model is address attribution and the tracing of capital flows on public blockchains. The company identifies wallets that belong to successful traders and monitors their activities to spot trends and opportunities. This "smart money" tracking forms the foundation of the new AI assistant's knowledge base.
Recommended