How Nansen’s New Trading Agent Makes It Easier to Follow the Smart Money Onchain
Episode
64 min
Read time
2 min
Topics
Investing, Startups, Fundraising & VC
AI-Generated Summary
Key Takeaways
- ✓Agentic Trading Interface: Users can execute complex multi-transaction strategies through simple natural language commands like "rebalance my portfolio," which triggers multiple simultaneous transactions without manual clicking through separate interfaces. This eliminates the traditional friction of opening multiple tabs, switching wallets, and signing individual transactions that previously constrained trading frequency and complexity.
- ✓Fee Structure Advantage: Nansen charges 10 basis points for pro subscribers and 25 basis points for free users, matching or beating centralized exchange fees without markup on DEX aggregator prices. This pricing strategy removes the financial incentive to leave the platform for execution, keeping the entire workflow from discovery to trade completion within one interface.
- ✓Smart Money Discovery: The platform labels 500 million addresses algorithmically and through AI agents, enabling users to query what sophisticated traders bought in the last hour or any timeframe. Users can then immediately allocate funds to those tokens through the agent, creating a direct path from signal identification to position entry.
- ✓Trading Activity Amplification: The founder reports trading more in the past month than ever before due to reduced friction from AI-assisted execution. This suggests agentic interfaces will increase overall on-chain trading volume by lowering execution barriers, similar to how vibe coding enables more people to build software by reducing technical complexity.
- ✓Security Architecture: The product uses Privy embedded wallets that remain self-custodial, allowing private key export while preventing Nansen from accessing user funds. Users must manually approve each transaction with biometric authentication, maintaining control while the agent handles price discovery and routing optimization across multiple DEX aggregators.
What It Covers
Nansen CEO Alex Sanovic unveils the company's new AI trading agent that enables users to discover, research, and execute on-chain trades through natural language commands. The agent integrates real-time smart money tracking with DEX aggregation, charging just 10 basis points for pro users and 25 for free users while executing trades across Solana and Base.
Key Questions Answered
- •Agentic Trading Interface: Users can execute complex multi-transaction strategies through simple natural language commands like "rebalance my portfolio," which triggers multiple simultaneous transactions without manual clicking through separate interfaces. This eliminates the traditional friction of opening multiple tabs, switching wallets, and signing individual transactions that previously constrained trading frequency and complexity.
- •Fee Structure Advantage: Nansen charges 10 basis points for pro subscribers and 25 basis points for free users, matching or beating centralized exchange fees without markup on DEX aggregator prices. This pricing strategy removes the financial incentive to leave the platform for execution, keeping the entire workflow from discovery to trade completion within one interface.
- •Smart Money Discovery: The platform labels 500 million addresses algorithmically and through AI agents, enabling users to query what sophisticated traders bought in the last hour or any timeframe. Users can then immediately allocate funds to those tokens through the agent, creating a direct path from signal identification to position entry.
- •Trading Activity Amplification: The founder reports trading more in the past month than ever before due to reduced friction from AI-assisted execution. This suggests agentic interfaces will increase overall on-chain trading volume by lowering execution barriers, similar to how vibe coding enables more people to build software by reducing technical complexity.
- •Security Architecture: The product uses Privy embedded wallets that remain self-custodial, allowing private key export while preventing Nansen from accessing user funds. Users must manually approve each transaction with biometric authentication, maintaining control while the agent handles price discovery and routing optimization across multiple DEX aggregators.
- •Future Agent Vaults: Nansen plans to develop infrastructure for users to deposit capital into successful traders' agent vaults, with proposed fee structures of 2% management fees and 20% performance fees. This requires solving custody challenges for both private keys and agent code to prevent tampering through unauthorized access or prompt injection attacks.
Notable Moment
The founder revealed his company ran an internal hackathon where employees used Claude Code to build features in two hours that had been on the roadmap as difficult, long-term projects. This demonstration of how AI coding tools collapse development timelines led him to predict 2026 will be the most transformative year in technology history as billions apply similar capabilities.
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Tools
- NansenBy guest
“Nansen CEO Alex Sanovic unveils the company's new AI trading agent that enables users to discover, research, and execute on-chain trades through natural language commands.”
by Anthropic
“The founder revealed his company ran an internal hackathon where employees used Claude Code to build features in two hours that had been on the roadmap as difficult, long-term projects.”
“The product uses Privy embedded wallets that remain self-custodial, allowing private key export while preventing Nansen from accessing user funds.”
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