Blockchain analytics provider Nansen has broadened its product scope by launching AI-powered trade execution capabilities on January 21. The update marks a shift from purely analytical services toward direct transaction facilitation, allowing users to move from market insights to execution within a single environment. The new functionality initially supports trading on the Base and Solana networks, signaling the company’s intention to play a more active role in how users interact with on-chain markets.
The newly introduced feature enables trades to be carried out through conversational commands within Nansen’s mobile application. Instead of relying on conventional charting tools and multi-step order forms, users can initiate transactions using natural language prompts. The underlying AI system processes these commands by drawing on Nansen’s extensive database, which includes more than 500 million labeled wallet addresses collected over years of on-chain analysis.
Conversational Trading Backed by On-Chain Data
According to details shared by the company, the conversational interface allows users to issue simple instructions that translate directly into executed trades. These transactions are routed through established infrastructure, including the Jupiter decentralized exchange aggregator and OKX exchange services. By integrating execution pathways into its analytics platform, Nansen aims to reduce friction between identifying market trends and acting on them.
The trading feature is tightly integrated with Nansen’s existing analytics tools, particularly its Smart Money tracking capabilities. Users can monitor wallet activity associated with experienced or influential market participants and then execute trades immediately based on those signals. This approach is intended to eliminate the need for switching between analytics dashboards and separate exchange platforms, a workflow that has traditionally slowed down decision-making.
Cross-Chain Support and Wallet Integration
Cross-chain execution is enabled through different protocols depending on the network. Solana transactions are supported via Jupiter, while trades on the Base network rely on the LI.FI protocol. Nansen has indicated that additional blockchain networks are expected to be added over time, suggesting a broader multi-chain strategy.
4/ Surface signals on Solana, execute on them, and stack Points!
Season 03 is live: 15 new premium partners and perks ready to be unlocked.
It’s a good time to be onchain. https://t.co/VJ4I4CFh9K
— Nansen 🧭 (@nansen_ai) January 21, 2026
Transaction signing and asset custody are handled by the embedded Nansen Wallet, which is built on Privy’s self-custodial architecture. This design allows users to retain control over their assets without connecting external wallets, streamlining the trading experience while maintaining self-custody principles. However, access to the feature is restricted in several jurisdictions, including Singapore, Cuba, Iran, North Korea, Syria, Russia, and parts of Ukraine, due to regulatory considerations.
Strategic Shift in Nansen’s Product Direction
The launch reflects a notable strategic pivot for Nansen, which has spent the past six years building a reputation as a provider of institutional-grade blockchain analytics. Over that period, the platform has attracted more than one million users by offering deep insights into on-chain activity. By adding execution capabilities, Nansen is repositioning itself as a more comprehensive trading and intelligence platform.
Company leadership has conveyed that the goal is to compress the research-to-trade cycle. By combining real-time analytics with immediate execution, the platform seeks to help users respond more quickly to emerging opportunities. This unified approach is positioned as a way to improve efficiency for both retail and professional market participants.
Part of a Broader AI Trading Trend
The conversational trading interface also aligns with a wider industry trend toward AI-assisted execution. Several platforms across the crypto sector have begun experimenting with AI agents designed to lower technical barriers and make trading more accessible. Nansen has emphasized that its approach differs by grounding AI-driven responses in proprietary on-chain data rather than relying solely on general-purpose language models.
Overall, the introduction of AI-powered trade execution represents a significant evolution in Nansen’s offering. By merging analytics, AI, and execution into a single workflow, the company is seeking to redefine how users move from blockchain insights to market action in an increasingly fast-paced trading environment.
