On January 21, East 8 Time, the on-chain data analysis platform Nansen officially launched its AI-driven integrated trading feature, transitioning from a single on-chain data analysis tool to a comprehensive platform for "analysis + trade execution." This update initially connects the Solana and Base networks, integrating on-chain data insights, AI conversational interactions, and real trading operations into one interface, allowing users to view data, adjust portfolios, and manage cross-chain operations all in one place. This signifies that Nansen is attempting to rewrite the trading paths and usage scenarios for users, which may have structural impacts on the tool choices and operational habits of professional traders, institutions, and ordinary users.
Transition from Data Viewing to One-Click Execution
● Product Evolution Path: Nansen was initially positioned as an on-chain data analysis platform, with its core value in the tagging system, capital flow monitoring, and intelligent tracking of wallet behavior, helping users "see what is happening on-chain." The launch of the AI-driven trading feature adds "order execution" capabilities on top of the existing data dashboard, consolidating research, decision-making, and execution from a decentralized toolset into a single product stack, forming a closed loop from information discovery to transaction completion.
● Change in Open Access Rhythm: Before officially opening to all users, Nansen had previously offered the AI-driven trading feature in Beta form to Pro users for trial. This phase was more focused on small-scale validation and iteration, and now it has expanded to all users, indicating confidence in product stability and foundational execution paths, marking a shift from "experimental feature" to a formal strategic module.
● Multi-Platform and Multi-Entry Integration: According to public information, the AI trading feature has been integrated into Nansen's web and mobile app, allowing users to operate directly in the traditional trading terminal interface or interact with AI in a conversational chat window to generate trading plans. This creates two parallel entry points: "terminal-based ordering + chat-based ordering," covering different user groups accustomed to panel operations and those preferring natural language interactions, thereby increasing feature reach and usage frequency.
Solana and Base as the First Testing Grounds
In the initial batch of networks supporting Nansen's integrated AI trading feature, only Solana and Base were selected, which directly determines the range of assets covered and the main user scenarios at this stage. For users heavily reliant on the Ethereum mainnet and other Layer 2 solutions, many are still in a wait-and-see phase, while users deeply involved in the Solana and Base ecosystems are the first to experience a "zero-switching cost" new experience between research and trading.
● Execution Path Breakdown: On the Solana side, Nansen integrates with Jupiter to obtain liquidity, allowing AI-generated trading plans to be executed on the Jupiter aggregation path; on the Base side, trading support is provided by OKX DEX, effectively connecting the existing liquidity foundations of both ecosystems into Nansen's AI trading routing, where Nansen plays more of a role in upper-layer orchestration and experience integration rather than rebuilding liquidity pools.
● Cross-Chain Routing and Unified Interface: The cross-chain component is provided by LI.FI, enabling users to complete cross-chain asset management within the same Nansen interface, reducing the sense of fragmentation from "jumping platforms and changing interfaces" at the strategy execution level. The significance of this design lies in: on one hand, it connects the capital flow paths between different chains, enhancing the flexibility of AI trading adjustments; on the other hand, it takes on the complexity of cross-chain operations through third-party routing. However, with limited network support and cross-chain infrastructure constrained by existing performance and security boundaries, users still need to be cautious about potential time delays, asset support ranges, and cross-chain risks while enjoying cross-chain convenience.
AI Conversational Ordering and Embedded Wallet Experience Transformation
In terms of specific interaction processes, Nansen uses natural language conversation as one of the entry points, allowing users to directly describe their trading needs in everyday language in the chat interface, such as wanting to adjust a certain type of asset on Solana or swap between assets on Base. The AI will generate executable trading plans based on user input, on-chain environment, and integrated liquidity and routing solutions, presenting them to users in a visual format, including which chain to use, through which aggregation path or DEX, and the approximate fee range, compressing the path from "idea to order" from the traditional multi-step clicks into a single chat and confirmation.
Although the AI is responsible for generating plans and routing suggestions, the final execution of all trades still requires explicit user authorization and signature in the interface, with each order needing user confirmation before being recorded on-chain, avoiding the formation of an "opaque custody" style of automated trading process. Nansen emphasizes the role of "AI assistant" rather than "AI custodian" in this model, meaning it only recommends, combines paths, and simplifies operations without performing unauthorized account actions on behalf of users.
This experience is supported by the embedded Nansen Wallet provided by Privy, which adopts a non-custodial model in its architecture, not requiring users to install additional browser extension plugins, but directly embedding wallet capabilities into Nansen's product interface, allowing users to control their private keys or recovery methods. Compared to traditional processes that require switching to external wallet extensions, copying and pasting addresses, and confirming across different windows, the embedded wallet significantly compresses the interaction path, making it more user-friendly for ordinary users who are accustomed to mobile devices and sensitive to technical barriers, but it also raises higher requirements for Nansen in terms of security prompts, permission management, and key recovery education.
Transaction Fees and Real-World Boundaries in Restricted Areas
Regarding the fee structure of Nansen's new features, market information generally mentions that the trading fee level for free version users is about 0.25%, while for professional version users, it is about 0.1%. This range is currently still in a "to be verified" state, and no official documents have confirmed it as the final pricing scheme. Under this premise, the above figures can only be viewed as market references rather than precise pricing bases.
● Cost Competitiveness Approximate Position: If we roughly benchmark against the rumored levels of 0.25% and 0.1%, the overall fee range roughly falls in the middle ground between multi-chain aggregators and some centralized platforms: compared to some high-fee on-chain aggregation trading paths, it has a certain price advantage, but compared to leading CEXs in terms of market depth, fee discounts, and rebate structures, Nansen's main competitiveness leans more towards "data + AI + one-stop experience" rather than pure cost suppression. For professional traders who frequently adjust portfolios and are highly sensitive to trading costs, whether they are willing to pay slightly higher marginal costs for information integration and path simplification will be a key consideration in real usage.
● Examples of Restricted Jurisdictions: In terms of compliance, Nansen has publicly mentioned setting access or usage restrictions for users from certain jurisdictions such as Singapore, Cuba, Iran, North Korea, Syria, and Russia, indicating that it has considered geopolitical regulatory risks and partner restrictions when launching the integrated trading feature. It is important to emphasize that current public information does not provide a complete list of restricted areas and explicitly prohibits speculation or self-completion of the full list, so the outside world can only regard the named countries and regions as "known samples" without inferring the entire coverage range.
Role Conflict of a Neutral Analysis Platform Turning into a Trading Entry
As Nansen transitions from "only doing data" to "helping you place orders," this leap in product boundaries has also sparked new discussions: a platform long viewed as relatively neutral in on-chain data analysis, when it begins to provide trading routing and strategy suggestions, will users question the neutrality of its recommendations and worry about potential path biases or conflicts of interest behind them. For example, if the AI more frequently chooses certain partners among multiple optional liquidity paths, the outside world will inevitably question whether this is based on objective optimization of liquidity, depth, and execution price, or if it is influenced by commercial cooperation.
When the AI provides strategies and routing suggestions at the forefront, Nansen needs to complement its mechanisms in terms of algorithm transparency, error responsibility, and risk warnings. On one hand, it needs to explain the routing selection logic, fee composition, and possible slippage ranges to users, avoiding a "just giving answers without explaining reasons" black box experience; on the other hand, when the paths generated by the AI experience execution deviations, price shocks, or technical failures in extreme market conditions, the platform needs to predefine responsibility boundaries, reducing the space for misunderstandings through clear risk warnings and usage terms, rather than letting users realize after the results occur that all risks are borne by themselves.
In horizontal comparison with other attempts to package "data + trading" into integrated products, market feedback often shows clear stratification: KOLs and institutional users value strategy development efficiency, on-chain data advantages, and execution quality more, with relatively low reliance on interface usability and natural language interaction, focusing more on API, stability, and cost structure; ordinary users are more easily attracted by "one-stop + AI assistant," but are more sensitive to platform reputation, security boundaries, and learning costs. For Nansen, while it already has a certain data reputation among professional user groups, it still needs time to verify the stability of the experience, fee perception, and trust transfer process to make a broader retail user base regard it as a practical order entry point.
How Far Will AI-Powered Integrated Trading Go
From the perspective of business model and product structure, Nansen's bet on AI-driven integrated trading represents an addition of a potential new revenue line based on transaction execution to its original revenue model primarily based on subscriptions and data services, while locking in users' research and trading behaviors with higher product stickiness, binding on-chain capital flows and data consumption more closely to its platform. This also redefines its product boundaries: no longer just a "tool for providing information," but moving towards a "cryptocurrency trading workstation that integrates research, decision-making, and execution."
In the future, if the current model proves feasible on Solana and Base, Nansen is likely to continue expanding the supported public chains and trading depth partners, incorporating more mainstream public chains and Layer 2 into the integrated trading matrix, building a broader executable asset map through connections with different DEXs, aggregators, and cross-chain protocols. Compared to competitors, its differentiation space mainly lies in strong on-chain data capabilities, the depth of wallet and AI integration, and whether it can find a unique balance between security, cost, and experience.
At the same time, the uncertainties of AI trading in risk control, compliance, and user education remain significant. How to ensure that AI does not provide overly aggressive suggestions on assets with weak liquidity or extremely high risks, how to maintain clear compliance boundaries in different jurisdictions to avoid crossing red lines, and how to help users truly understand the logic of responsibility under a non-custodial model are all key indicators to observe how far this product can go. AI makes ordering easier, but in terms of decision quality and risk bearing, the new division of labor between the platform and users still needs time to adjust and calibrate.
Join our community to discuss and grow stronger together!
Official Telegram community: https://t.me/aicoincn
AiCoin Chinese Twitter: https://x.com/AiCoinzh
OKX Benefits Group: https://aicoin.com/link/chat?cid=l61eM4owQ
Binance Benefits Group: https://aicoin.com/link/chat?cid=ynr7d1P6Z
免责声明：本文章仅代表作者个人观点，不代表本平台的立场和观点。本文章仅供信息分享，不构成对任何人的任何投资建议。用户与作者之间的任何争议，与本平台无关。如网页中刊载的文章或图片涉及侵权，请提供相关的权利证明和身份证明发送邮件到support@aicoin.com，本平台相关工作人员将会进行核查。
