Nansen Launches AI App to Simplify Crypto Research for Investors

TheCryptoTimesPublished on 2025-09-25Last updated on 2025-09-25

Nansen, a Singapore-based blockchain analytics firm, has launched Nansen AI, an iOS app with an aim to simplify crypto research for investors with real-time insights. The app functions as an assistant that lets users ask questions in plain text to get quick, tailored insights about tokens, wallets, and market trends.

The firm aims to use a database of over 500 million blockchain addresses to simplify cryptocurrency research. The app replaces complex dashboards and time-intensive manual analysis, allowing investors to access real-time data and make quick decisions in the fast-moving crypto market. According to the company’s press release, Nansen AI provides easy-to-use features for crypto investors.

Nansen AI introduces mobile platform for blockchain insights

Users can find popular tokens, like the top five on Solana, driven by big investors, or check risks for tokens, such as contract safety and who holds them. The app explains sudden price changes, tracks tokens and DeFi positions, identifies whales and well-known people behind wallet addresses, and details transactions, similar to what Ethereum Co-Founder Vitalik Buterin recently did.

By launching this app, Nansen AI’s goal is to make crypto trading simple, instant, and centered on users’ needs. The firm stated that it is also planning to release an Android version of its Nansen AI app soon, making it available to more crypto investors.

Earlier this year, Nansen also became a Super Representative for the TRON network, sharing data and insights to increase transparency in TRON’s blockchain ecosystem.

Also Read: Move from World Liberty Financial is not a common occurrence in the space: Nansen Analyst

Mobile Only Image

Trending Cryptos

ctr
CitreaCTR
wstusdt
wrapped stUSDTWSTUSDT
apr
aPrioriAPR
ctx
Cryptex FinanceCTX
audio
AudiusAUDIO
mantra
MantraMANTRA
xvs
VenusXVS
waxl
AxelarWAXL
bill
Billions NetworkBILL
pyth
PYTH (Pyth)PYTH
rune
THORChainRUNE
velodrome
Velodrome FinanceVELODROME
brev
BrevisBREV
zrx
ZRX（0X）ZRX
cake
PancakeSwapCAKE

Related Reads

Conversation with Jason Huang, Founder of NDV: Puncturing the AI Bubble and the MicroStrategy Myth, Searching for the Ultimate Trump Card in the Crypto Market

In a podcast interview, NDV founder Jason Huang discusses the recent crypto market downturn, attributing the initial phase to typical Bitcoin cycle selling pressure, now compounded by a US stock market correction, tightening liquidity, and MicroStrategy's financial strain. He argues the market hasn't bottomed yet, noting true bear market lows often require a major, despair-inducing event like FTX's collapse. Huang details MicroStrategy's precarious position: its debt-and-equity fueled Bitcoin buying model has reversed into a negative cycle as prices fell. He interprets its sale of just 32 BTC as a signal prioritizing creditors over shareholders, sparking market "front-running" of its larger potential sell-off. A true bottom may arrive only after MicroStrategy resolves its looming debt payments, possibly via a large, private Bitcoin sale. His fund is up ~20% this year, outperforming Bitcoin by 50-60%, by shorting crypto and trading commodities like oil and gold. He avoided AI stocks despite being a heavy user, citing a lack of trading edge in the crowded semiconductor hardware trade, which he views as ripe for a significant correction. Long-term, Huang remains bullish on stablecoins as crypto's clearest, most practical innovation with high growth potential. He is very bearish on Ethereum and skeptical that Bitcoin has found its floor, suggesting $48,000 may not hold. He expects a sharp decline followed by a strong recovery within a year, but only after a major panic event leads to widespread capitulation and despair—the true hallmark of a market bottom.

链捕手5m ago

Conversation with Jason Huang, Founder of NDV: Puncturing the AI Bubble and the MicroStrategy Myth, Searching for the Ultimate Trump Card in the Crypto Market

链捕手5m ago

U.S. Stocks Trend (June 24): Korean Stock Plunge Ripples Global Chip Sector, Micron Tumbles Over 10%, Long-Term Supply Certainty Faces a 'Hard Test'

US Stock Market Trend (June 24): South Korean Market Plunge Disrupts Global Chips, Micron Drops Over 10%, Long-Term Supply Certainty Faces Hard Test On Monday, the South Korean KOSPI index plunged 10%, with SK Hynix and Samsung dropping over 12%, triggered by rumors that SK Hynix might slow its HBM4 production expansion. This shock quickly spread to the U.S. semiconductor sector. Micron plummeted 13.18% to $1,051.77, SanDisk fell 13.64%, and Marvell declined 8%. The Philadelphia Semiconductor Index closed down 7.87%, while the Nasdaq fell 2.21% to 25,587.04 points. The sell-off particularly hit memory chip stocks. Defensive sectors showed relative resilience, with gains in stocks like IBM and Johnson & Johnson. Market volatility spiked, with the VIX index jumping 12.79%. Commodities weakened, with WTI crude oil hitting a near three-month low and gold falling below $4,100. The core issue is not a challenge to AI demand itself, but a market reassessment of overly optimistic capacity expectations for memory chips, especially HBM. The rumor about SK Hynix undermined perceived certainty in the AI infrastructure cycle. Key upcoming events include Thursday's PCE inflation data, which will influence Fed rate expectations, and Micron's earnings report. The market will focus on Micron's HBM gross margins and its long-term capacity guidance. The shift indicates the AI investment cycle is moving from euphoria to rational pricing. Large institutions are questioning the sustainability of AI-related capital expenditure growth. Micron's repricing from an "AI infrastructure staple" to a more cyclical stock highlights this change. Thursday's data and earnings represent a critical juncture for assessing long-term supply certainty, which has now significantly decreased.

marsbit13m ago

U.S. Stocks Trend (June 24): Korean Stock Plunge Ripples Global Chip Sector, Micron Tumbles Over 10%, Long-Term Supply Certainty Faces a 'Hard Test'

marsbit13m ago

In the AI Era, What Kind of KOLs and Communities Will Not Be Completely Replaced?

In an interview with investor BitWu, the discussion centers on surviving and thriving in Web3 during AI's rise. Key points include: Crypto is shifting from retail speculation to financial infrastructure, with stablecoins, RWA, and AI as critical future trends. AI could transform Crypto into a financial rail for AI agents, enabling 24/7 programmable transactions. For Web3 gaming, past failures stemmed from prioritizing "play-to-earn" over fun; future success requires engaging AI, social features, and UGC. Regarding KOLs, those merely repackaging information may be replaced by AI, but authentic voices with experience, judgment, and trust will endure. Communities must evolve beyond airdrop chasing to build genuine trust, shared goals, and real-world connections. Newcomers should prioritize risk management over quick profits, learning from cycles rather than mistaking bull-market luck for skill. The overarching theme: long-term thinking, real utility, and human-centric value will define what survives in the AI era.

marsbit35m ago

In the AI Era, What Kind of KOLs and Communities Will Not Be Completely Replaced?

marsbit35m ago

Preferred Stock Is Not the Trigger for Corporate Bankruptcy, MicroStrategy's Dollar Reserves Can Cover Dividend and Interest Payments Until February 2027

Preferred Shares Are Not the Catalyst for Corporate Bankruptcy; MicroStrategy's Dollar Reserves Can Cover Dividend and Interest Payments Until February 2027. This article analyzes the nature of preferred shares used by MicroStrategy (MSTR). Legally equity but economically similar to debt, these shares, including its Bitcoin-linked STR convertible preferred notes (STRC), offer fixed or floating dividends. Crucially, MicroStrategy's preferred shares lack rigid redemption clauses, meaning they are not classified as traditional debt. This eliminates principal repayment pressure and means missed dividends do not constitute default or trigger bankruptcy, creating a "self-contradictory virtuous cycle." The article clarifies that if funds are short, MicroStrategy can defer or suspend preferred share dividends (except for non-cumulative types like STRD) without immediate risk. The real potential crisis point lies with its convertible bonds. If a prolonged bear market prevents conversion, MicroStrategy might need to sell Bitcoin to repay these bonds starting from the earliest maturity in September 2027, potentially creating a downward spiral. Preferred dividend suspensions would only exacerbate market panic in such a scenario. Recent financial activity shows MicroStrategy strengthened its position through four weeks of common stock (MSTR) issuances, raising over $851 million without issuing new preferred shares. It increased its dollar reserves to approximately $1.4 billion, which is sufficient to cover all preferred share dividends and interest until around March 2027. While Bitcoin purchases slowed recently, this prioritization of cash reserves enhances the company's near-term financial safety. The analysis concludes that if the Bitcoin bear market ends by early 2025 as anticipated, MicroStrategy can resume issuing MSTR stock in a rising market to replenish reserves and manage future dividend obligations, thereby reducing the long-term pressure from its preferred share structure.

marsbit1h ago

Preferred Stock Is Not the Trigger for Corporate Bankruptcy, MicroStrategy's Dollar Reserves Can Cover Dividend and Interest Payments Until February 2027

marsbit1h ago

Giants Wage the Context War, Reconstructing AI Moats

The article "Giants Launch the Context War, Reconstructing AI's Moat" discusses how leading AI companies—OpenAI, Anthropic, and Google—are shifting their competitive focus from model size to acquiring, managing, and utilizing user context (Context). Initially, Context referred to the length of text a model could process, leading to a "arms race" for longer context windows. However, the competition has evolved through three key phases: expanding text capacity (long context windows), enabling memory across sessions, and finally, integrating AI into real user environments like browsers and desktops to capture dynamic task states. Each company is pursuing a distinct strategy. OpenAI is building Context around the ChatGPT account, turning it into a central hub that accumulates user understanding across various integrated applications and tools. Anthropic, lacking a major user base, focuses on high-value verticals like coding, empowering its Claude model to actively gather Context through GUI interaction (Computer Use) and system connections (MCP protocol). Google, with vast existing user data from products like Search and Gmail, faces the challenge of restructuring this data into actionable, AI-understandable Context for its Gemini model within its ecosystem. The core argument is that the nature of competitive advantage in AI is changing. The internet era prized network effects—connecting more users. The AI era values "individual depth": the ability to build deep, task-specific understanding of a user. This creates a new moat through 1) the compounding value of accumulated Context, 2) deep integration with user tools and permissions, and 3) the establishment of trust for complex tasks. Therefore, the battle for Context is fundamentally about capturing "task entry points" and converting existing digital ecosystems into environments where AI can effectively understand and act, rather than merely scaling user numbers.

marsbit2h ago

Giants Wage the Context War, Reconstructing AI Moats

marsbit2h ago

Trading

Spot
Futures

Hot Articles

Discussions

Welcome to the HTX Community. Here, you can stay informed about the latest platform developments and gain access to professional market insights. Users' opinions on the price of AI (AI) are presented below.

活动图片

Top Questions