Nansen Launches AI-Powered Crypto Trading Assistant, Aims for Autonomous Trading

Exclusive: Nansen launches new crypto trading chatbot

Why it matters: It's a new way to sort out profitable trades with a tool that sifts through an enormous trove of crypto data. What we're watching: Nansen will eventually let users turn their money over to bots to let the AI trade for them. It's already testing trading agents internally. * A trader could give a bot orders to trade on the volatility of a token, telling it to buy, for example, ether (ETH) every time it drops 2%. And then sell when it's up 4%. Then repeat. * The agent could do this 24/7, and the owner would never even need to look. * The company aims to release the product by year's end but is still testing for safety, such as making sure bots stick to guidelines and don't trade on hallucinated facts. Fun fact: Nansen is dropping its prices as this offering goes live. The lowest monthly price is going from $99 now to $69 starting today. * "It's quite the shift," Logan Brinkley, head of product UX and design at Nansen AI, told Axios. "Basically trying to make everything more accessible." How it works: Blockchains are public, which allows a company like Nansen to keep an eye on the trading and success of different accounts. Since launching in 2020, Nansen has tracked the smartest money and the biggest wallets, allowing other traders to use the moves of the best informed investors to inform their own trades. * "To some degree, you have to be very knowledgeable in the space itself already" to make sense of all that information, Brinkley said. * The chatbot acts as an expert that can discuss trading ideas and also explain its reasoning. * "It's a research team in your pocket," Brinkley said. It's also reading about crypto on X, so you don't have to. We tried out the system, which the company is calling Nansen AI, live on a call to Brinkley, who told it he had some Solana (SOL) and we wanted to grow those holdings of the token over the next six months. * The chatbot suggested devoting 50% to simply staking SOL, which essentially generates a guaranteed return in the asset of around 6%. * Then it suggested setting aside 30% for trading the highest volume tokens (with some suggestions) and 20% for buying new tokens, which the chatbot can help identify over time. * Finally, it suggested risk management strategies such as closing out trades at 5 to 10% in losses and taking profits between 20 to 30% in gains. Yes, but: Like all chatbots, Nansen's can hallucinate. Brinkley cautions users to confirm what the bot tells them. Zoom out: Nansen isn't the only company piping its data into an LLM. * For example, the world's largest exchange, Binance, has a bot available on the chat app Telegram and another data firm, Messari, has a bot called Copilot available to its paid users. What's inside: Right now, Nansen's chatbot is running Anthropic's Claude under the hood, but the team continues to research which overall model works best. They've also been testing their bot against general LLMs like ChatGPT and Grok and found that the Nansen bot works better because it was trained on specialized knowledge for trading. * Nansen's bot can answer in either fast mode, for quick responses, or expert mode, for detailed reasoning. * The bot continuously updates its information about the market based on Nansen's data and customizes responses based on the user's own portfolio. * Brinkley compared it to building a brain just for your trading goals. "And the more knowledgeable and trustworthy that brain is," Brinkley said, "the better results you'll have." What they're saying: "In a few years, this agentic experience will feel as natural as mobile banking is today," Alex Svanevik, CEO of Nansen, said in a statement.

This AI Chatbot Is Trained on Top Crypto Traders -- Can It Offer an Edge? - Decrypt

There's no white paper yet, and experts warn AI agents in finance are vulnerable to adversarial attacks. Blockchain analytics firm Nansen pushed deeper into the AI frontier Thursday with the launch of Nansen AI, a chatbot trained on its massive dataset of labeled wallets across more than two dozen chains. The tool is built on Claude, Anthropic's language model, but infused with Nansen's proprietary on-chain intelligence -- offering users a conversational interface into market trends and wallet behavior rather than conventional charts and dashboards. At launch, the bot is pitched as a research assistant: users can ask it to surface trading signals, explain wallet flows, or identify smart-money activity. The more ambitious promise comes later: Nansen intends to add trading execution capability, with human approval. To support adoption, the company cut its subscription price from $99 to $69 per month. Nansen said that under the hood, its AI leans on the firm's data advantage: over 500 million labeled addresses provide identity and behavioral context to the model's predictions. Because of that specialized input, the company claims the agent outperforms general-purpose models like ChatGPT or Grok on crypto-specific forecasting tasks. The agent currently supports portfolio context (for example, Ethereum and EVM-chain wallets). Execution is slated for later; when enabled, the agent will propose trades but require user confirmation before any transaction is sent. Nansen plans to validate the "core loop" before enabling autonomous flows. Despite the launch fanfare, Nansen has not released a technical white paper. There is no public disclosure yet of the agent's accuracy, false positive rate, robustness, or adversarial testing. That opacity raises the question: is this primarily a product PR move rather than a scientific release? Nansen's AI push comes with embedded risks -- not least from adversarial behavior in a financial context. The recent academic paper "AI Agents in Cryptoland: Practical Attacks and No Silver Bullet" warns of context manipulation, where attackers tamper with prompt history or memory to mislead the agent into harmful actions or wrong forecasts. Agentic trading systems must guard against hallucinations and unauthorized execution -- especially in a volatile crypto environment. Nansen's commitment to human-in-the-loop trade confirmation is a protective measure, but whether it suffices in high-speed markets is untested. Another challenge is data staleness or bias. The value of labeled addresses declines over time; if bot guidance is founded on outdated patterns, then users may be misled. And because the model's performance claims are not yet transparent, users have limited ability to audit or verify results independently. If Nansen AI truly delivers reliable insight faster than chart analysis, then it could lower the barrier to entry in crypto trading. A user who can ask, "Which EVM wallets are accumulating this token today?" and instantly get a parsed answer empowers non-expert participants. It also signals a broader shift: analytics providers are becoming agent platforms. But to become more than a flashy demo, Nansen AI needs to prove that its predictions hold up in live markets -- and that it survives adversarial stress. The crypto world is uniquely unforgiving, and many AI agent efforts stall when real money is on the line.

Nansen unveils AI agent for crypto traders, targets autonomous trading in Q4

Nansen unveiled an AI agent to simplify onchain crypto trading with natural conversation, aiming to bring more value to Ethereum and EVM networks. Crypto intelligence platform Nansen is rolling out an artificial intelligence agent designed to make onchain cryptocurrency trading more intuitive, in a move it says could shift more value back to public blockchains such as Ethereum. The company announced Thursday that it is launching Nansen AI, a mobile agent that uses natural conversation instead of trading charts to deliver market insights. The new trading interface seeks to eliminate traditional trading charts and offer an AI agent as the main interface for onchain trading, delivering insights through what Nansen calls "natural conversation" instead of technical charts. Built on Nansen's data set of more than 500 million labeled addresses, the platform aims to provide investors with faster and more accurate information than general-purpose tools such as ChatGPT or Claude. "We're starting with research and insights first, helping users discover and decide faster," Logan Brinkley, head of product UX and design at Nansen, told Cointelegraph, adding: "Execution is on the roadmap, but we want to validate the core loop, improve the agent, and build trust before introducing trading flows." At launch, Nansen said the platform will support embedded, self-custodial wallets with Ethereum and other major Ethereum Virtual Machine (EVM) blockchains, which include support for 25 of the most in-demand networks with plans to expand to more. "When trading goes live, the agent will prepare the order, and users will always give final confirmation before anything is executed," said Brinkley. "Think of it as an AI co-pilot, with the human having the final say." Related: Not every AI agent needs its own cryptocurrency: CZ Nansen AI said its new platform is designed to make digital asset trading more intuitive. AI agent-driven crypto trading platforms will feel as "natural as mobile banking is today," according to Alex Svanevik, co-founder and CEO of Nansen. "For years, investors have relied on dashboards and static charts to make sense of markets," said Svanevik, adding: "It delivers insights through natural conversation and is directly connected to an investor's portfolio, enabling it to analyze performance drivers and attribute changes in real time." Nansen's new agentic platform may "strengthen decision-making and contribute to the responsible adoption of blockchain technology," according to Justin Sun, the founder of Tron Network. "AI agents will play a central role in the digital asset ecosystem, transforming how market participants access and interpret information." Related: World Liberty adviser bets millions as corporate treasuries fuel AVAX rally AI agents are already executing autonomous blockchain transactions, such as Luna, an AI program on Virtuals Protocol that recently paid another agent for image-generation services. Several venture capital companies, including Pantera Capital and Dragonfly, are tracking the trend but have not yet invested heavily, according to a panel discussion at Consensus 2025 in Hong Kong. Nansen expects to roll out AI-powered agentic trading by the end of the fourth quarter of 2025.

Nansen AI launches agent for on-chain Ethereum insights

Crypto intelligence platform Nansen announced the launch of Nansen AI, a mobile agent using natural conversation to deliver on-chain cryptocurrency trading insights. The company stated the initiative is designed to make trading more intuitive on public blockchains like Ethereum. The new interface aims to replace traditional trading charts, positioning an AI agent as the primary tool for on-chain analysis and trading. This agent delivers market information through what Nansen describes as "natural conversation." The system is built upon Nansen's proprietary dataset of more than 500 million labeled cryptocurrency wallet addresses. According to the company, this extensive data foundation enables the platform to provide investors with information that is faster and more accurate than what is available from general-purpose AI tools such as ChatGPT or Claude. The rollout will occur in phases, beginning with a focus on research and discovery. Logan Brinkley, head of product UX and design at Nansen, detailed the initial strategy. "We're starting with research and insights first, helping users discover and decide faster," Brinkley said. He confirmed that trade execution is part of the product roadmap but will be implemented later. "Execution is on the roadmap, but we want to validate the core loop, improve the agent, and build trust before introducing trading flows," he added. When the trading function is activated, the AI will not operate with full autonomy. The agent will prepare an order, which the user must then approve before any transaction is finalized. "Users will always give final confirmation before anything is executed," Brinkley explained. He characterized the relationship between the user and the AI as that of a pilot and a co-pilot. "Think of it as an AI co-pilot, with the human having the final say," he stated, underscoring that the user retains ultimate control over all actions. At its launch, Nansen AI will support embedded, self-custodial wallets. This initial support will cover the Ethereum network and 25 other major Ethereum Virtual Machine (EVM) blockchains, with the company announcing plans to expand its network compatibility in the future. Alex Svanevik, co-founder and CEO of Nansen, projected that the use of AI agents for crypto trading will become as commonplace as other modern financial technologies. He stated that such platforms will feel as "natural as mobile banking is today." Svanevik elaborated on how the agent differs from conventional market analysis tools. "For years, investors have relied on dashboards and charts to make sense of markets," he said. In contrast, the Nansen AI agent "delivers insights through natural conversation and is directly connected to an investor's portfolio, enabling it to analyze performance drivers and attribute changes in real time." Justin Sun, the founder of Tron Network, commented on the platform's potential impact. He suggested that Nansen's agentic platform may "strengthen decision-making and contribute to the responsible adoption of blockchain technology." Sun also offered a broader view on the role of artificial intelligence in the sector, remarking that "AI agents will play a central role in the digital asset ecosystem, transforming how market participants access and interpret information." The concept of AI agents autonomously executing transactions already exists within the crypto space, with one cited example being Luna, an AI program on the Virtuals Protocol that recently paid another agent for image-generation services. The trend is also being monitored by the investment community. During a panel discussion at Consensus 2025 in Hong Kong, it was noted that several venture capital firms, including Pantera Capital and Dragonfly, are tracking developments but have not yet invested heavily in the area. Nansen expects to roll out its AI-powered agentic trading functions by the end of the fourth quarter of 2025.