Nansen launches AI agent for crypto traders aiming autonomous execution
Nansen introduces an AI agent for cryptocurrency traders with plans to enable autonomous trading by Q4 2025 shifting value to blockchains like Ethereum
Crypto intelligence platform Nansen has launched an AI agent designed to simplify onchain cryptocurrency trading, targeting autonomous trading capabilities by Q4 2025. The platform aims to shift value back to public blockchains like Ethereum by replacing traditional trading charts with natural conversation-based market insights.
Key Features:
- Natural Conversation Interface: Traders interact via chat instead of complex charts.
- Faster Insights: Built on Nansen’s database of 500+ million labeled wallet addresses, offering more accuracy than general-purpose AI tools like ChatGPT.
- Gradual Rollout: Initially focused on research and insights, with trading execution planned later.
Platform Details:
- Supports self-custodial wallets on Ethereum and 25+ EVM-compatible blockchains.
- Human Oversight: Users retain final approval before trade execution.
Nansen AI interface. Source: Nansen
Logan Brinkley, Nansen’s Head of Product UX, emphasized cautious adoption:
"Execution is on the roadmap, but we want to validate the core loop and build trust first."
Industry Reactions:
- Alex Svanevik, Nansen CEO, predicts AI-driven crypto trading will become "as natural as mobile banking."
- Justin Sun (Tron founder) called it a step toward "responsible blockchain adoption."
Context:
AI agents are already executing blockchain transactions autonomously, like Luna, which recently paid another AI for services:
Source: Luna
VC firms like Pantera Capital and Dragonfly are monitoring the trend but remain hesitant, per discussions at Consensus 2025.
For more, read: CZ on AI agents | EVM explained
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About the Author

Dr. Lisa Kim
AI Ethics Researcher
Leading expert in AI ethics and responsible AI development with 13 years of research experience. Former member of Microsoft AI Ethics Committee, now provides consulting for multiple international AI governance organizations. Regularly contributes AI ethics articles to top-tier journals like Nature and Science.