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Nansen

On-chain analytics platform for crypto investments

Overview

Nansen provides an on-chain analytics platform for cryptocurrency investments. It collects and analyzes blockchain data to give real-time insights, wallet labeling, and market signals that help professional traders and funds make informed decisions. Its products, including Smart Alerts and the newer Nansen 2, deliver up-to-date information through an easy-to-use interface, and are offered on a subscription basis. Overall, Nansen aims to turn blockchain data into actionable investment opportunities and strategies for its users.

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About Nansen

Simplify's Rating
Why Nansen is rated
B-
Rated B on Competitive Edge
Rated B on Growth Potential
Rated C on Differentiation

Industries

Data & AnalyticsEnterprise SoftwareCrypto & Web3Financial Services

Company Size

51-200

Company Stage

Series B

Total Funding

$88.2M

Headquarters

Singapore, Singapore

Founded

2020

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What believers are saying

  • October 2026 Hyperliquid Perps and November trading launch expand monetization beyond subscriptions.
  • September 2026 FOMO wallet search and Injective analytics deepen product moat with fresh data coverage.
  • Smart Alerts, MCP, CLI, and x402 position Nansen for agentic developer adoption in 2026.

What critics are saying

  • CoinGecko supplies pricing inputs; any API disruption breaks PnL and screeners quickly.
  • Binance, Arkham, and Dune compress margins by copying labels, alerts, and execution.
  • Crypto market contraction slashes subscriptions; Nansen's trading pivot cannot survive prolonged volume collapse.

What makes Nansen unique

  • 500M+ labeled wallets across 35+ chains beats generic crypto dashboards.
  • Nansen AI now combines research, execution, and wallet intelligence in one workflow.
  • Injective and Hyperliquid integrations make Nansen embedded inside active trading ecosystems.

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Funding

Total Funding

$88.2M

Above

Industry Average

Funded Over

3 Rounds

Series B funding is typically for startups that have proven their business model and need more funding to expand rapidly—often by entering new markets or adding more products. Investors are usually venture capital firms that specialize in later-stage investments.
Series B Funding Comparison
Above Average

Industry standards

$35M
$45M
$65M
$75M
$100M

Benefits

  • Remote Work Options
  • Flexible Work Hours

Growth & Insights and Company News

6 month growth

0%

1 year growth

-1%

2 year growth

0%
Crypto-Economy
Oct 24th, 2026
Smart money tracking on Solana: an analytical layer, not an execution guarantee.

Smart money tracking on Solana: an analytical layer, not an execution guarantee. * Isai Alexei * Published: October 24, 2026 * 9:47 pm * Updated: October 24, 2026 * 9:55 pm Table of Contents The comparison published by Crypto Economy on smart money tracking tools for Solana organizes five platforms by function: Guardis for signals and token risk, Nansen for wallet labeling, Birdeye for performance analytics, Solscan for raw data verification, and Jupiter for execution. The classification is useful as an initial overview of the on-chain research stack, but I argue the professional debate should not stop at platform selection. The central issue is methodological: tracking profitable wallets produces probabilistic signals, not definitive conclusions. Treating a smart money alert as a buy instruction introduces a category error with direct capital consequences. The first required discussion concerns the definition of smart money. Wallet balance size is not a sufficient criterion. A wallet with a large balance may belong to a fund, a market maker, an exchange, a protocol treasury, or a retail investor with a short track record. The relevant metric is risk-adjusted performance over a defined time window: realized PnL, win rate, maximum drawdown, trade count, asset concentration, and consistency across market cycles. Without explicit definitions, users compare platforms measuring different variables and draw incompatible conclusions. Methodological transparency is an operational requirement, not a commercial detail. The five tools cover complementary functions. Guardis and Nansen compete to answer who is buying and with which track record; Birdeye adds wallet discovery and market context; Solscan allows auditing the underlying transaction; Jupiter transfers the decision to an execution environment. I maintain that no platform substitutes for the others. A professional reproducible workflow requires separating activity identification, performance evaluation, token risk analysis, on-chain verification, and execution with slippage control. Vertical integration may reduce friction, but integration can also obscure bias in the signal. Wallet labeling is one of the areas with the highest vendor dependence. Nansen labels provide context, although value depends on coverage, update frequency, and classification criteria. A wallet may be reclassified after a behavior change, a fund migration, or a corporate transaction. Data latency matters: an alert based on a confirmed transaction arrives after the movement and may coincide with a distribution phase. Label traceability - source, date, method, and confidence - should be an evaluation requirement. Without traceability, the user consumes a proprietary opinion presented as data. Wallet discovery through PnL and win rate rankings, available in Birdeye and similar platforms, introduces survivorship bias. Wallets appearing on a public list tend to be those with recent success; wallets that failed, stopped operating, or changed strategy do not receive identical visibility. Selection bias also appears when the user chooses known addresses after observing the outcome. The time window worsens the problem: a high win rate over thirty days may reflect exposure to a single liquidity event. Evaluation should include a minimum trade count, result dispersion, and behavior across different volatility regimes. Artificial activity requires additional filters. Wash trading, airdrop farming, multi-wallet creation, and transfers between addresses controlled by one entity can inflate performance metrics. Wallet clustering - grouping addresses by funding patterns, execution timing, interacted contracts, and return flows - is a necessary technique to estimate whether a signal represents one actor or a coordinated network. An alert showing five wallets buying a token may correspond to one entity with five addresses. The operational conclusion changes entirely. Token risk scoring, including the score offered by Guardis through Warden AI, covers a real need: evaluating smart contracts, liquidity, mint permissions, holding concentration, and suspicious activity before execution. I consider the score a preliminary filter, not an audit. A risk score does not replace contract review, verification of locked liquidity, token distribution analysis, or mint authority review. Methodological transparency is decisive: the user needs to know which variables weight the score, with which data, and at which frequency updates occur. A number without public methodology is a commercial signal, not a technical input. Solscan occupies a different position. Raw data exploration allows verification of signatures, transfers, timestamps, balances, and program interactions. On-chain verification is mandatory when an alert suggests accumulation, liquidity removal, or distribution. However, raw data does not interpret intent. A transfer to an exchange may be a sale, custody, collateral, or an internal movement. On-chain verification should combine with clustering, counterparty history, and market context. The chain records facts; interpretation remains the analyst's responsibility. Jupiter represents the execution layer. Liquidity routing reduces friction and improves prices, but does not eliminate slippage, market impact, or MEV. A correct research signal can produce a negative result if liquidity is insufficient, if the transaction executes with delay, or if position size exceeds liquidity depth. Risk management should include size limits, maximum entry prices, slippage tolerance, and transaction monitoring. Execution is not a post-analysis detail; execution forms part of the economic result. My professional recommendation is to treat each smart money alert as an investment hypothesis. The logical sequence is: define the question, identify the wallet or wallet group, evaluate performance metrics with explicit window and sample, verify activity in the block explorer, review token risk, estimate liquidity and execution costs, and size the position according to maximum acceptable loss. The workflow should be reproducible: identical rules, identical filters, and identical exit criteria. Methodological discipline produces more value than alert accumulation. Tool evaluation also requires technical criteria. Data provenance, wallet coverage, latency, update frequency, API quality, historical reproducibility, and total cost are relevant variables. A vendor may have a clear interface and limited coverage; another may offer broad data with inconsistent labels. Methodological transparency and data export capability allow users to audit signals and compare results. Vendor dependency creates counterparty risk in the analytical process: if a label changes or access is interrupted, the process stops. The crypto sector tends to confuse on-chain intelligence with operational advantage. Information on profitable wallets is increasingly accessible, and accessibility reduces the information differential. Sustainable advantage does not lie in seeing an alert before others; sustainable advantage lies in interpreting the alert with a consistent process, measuring results, and correcting biases. Smart money tracking is an analytical layer within a risk management system. A critical reading of the comparison leads to a clear conclusion: Guardis, Nansen, Birdeye, Solscan, and Jupiter can form a coherent research stack, provided the user understands the functions and limits of each layer. The tool does not eliminate survivorship bias, label latency, wash trading, or market impact. Professional value appears when the analyst documents assumptions, verifies data, separates signal from execution, and measures results with risk-adjusted performance metrics. Smart money tracking on Solana is useful as an input for forming hypotheses; it is not a substitute for analysis and not a guarantee of profitability.

The Digital Track
Oct 17th, 2026
DefiLlama adds daily update on DeFi yields, liquidity and stablecoins.

DefiLlama adds daily update on DeFi yields, liquidity and stablecoins. October 17, 2026 Tokenpost general Positive DefiLlama, the leading DeFi data aggregator, has launched a new daily feature called "Today in DeFi" that consolidates real-time statistics on protocol trends, stablecoin activity, DeFi yields, and capital flows into a single recurring update. For traders and analysts tracking decentralized finance market intelligence, this tool arrives at a moment when on-chain data transparency is more critical than ever, with total value locked (TVL) across DeFi protocols fluctuating sharply in response to macroeconomic signals and shifting liquidity incentives. The "Today in DeFi" dashboard gives investors immediate visibility into stablecoin movement, yield curve changes across lending protocols, and liquidity migration patterns - data points that previously required monitoring multiple sources simultaneously. At a time when protocols like Aave, Curve, and Uniswap compete aggressively for capital, having a consolidated daily DeFi snapshot helps both retail and institutional participants make faster, better-informed decisions. This update also strengthens DefiLlama's position as the go-to on-chain analytics platform against competitors like Dune Analytics and Nansen. The feature reflects a broader industry push toward accessible DeFi data aggregation and protocol performance tracking in a market where information speed directly translates to yield optimization. Watch for DefiLlama to expand "Today in DeFi" with customizable alerts and API integrations that could make it indispensable infrastructure for active on-chain portfolio managers. Called "Today in DeFi," the feature brings together daily statistics on protocol trends, stablecoin activity and capital flows.

Crypto-Economy
Sep 29th, 2026
Nansen adds 200,000+ FOMO wallets to its on-chain search tool.

Nansen adds 200,000+ FOMO wallets to its on-chain search tool. * C. Monasterio * Published: September 29, 2026 * 12:28 am * Updated: September 29, 2026 * 12:28 am Table of Contents Nansen rolled out a new search feature capable of tracking over 200,000 wallets tied to the mobile copy-trading app FOMO. The tool includes addresses deployed across the Solana and Base networks, allowing users to inspect transaction histories, current balances, profit-and-loss (PnL) metrics, and uncover associated addresses not visible within the protocol's native interface. See someone cooking on fomo? Check their wallet. 200,000+ fomo wallets are now searchable on Nansen. Across @Solana and @Base Holdings. Trades. PnL.https://t.co/OtwGCmRhdM pic.twitter.com/GDun0Lmd6T - Nansen (@nansen_ai) September 28, 2026 This integration delivers a critical layer of transparency for analysts and investors by consolidating data from a high-velocity on-chain trading cluster. FOMO, a non-custodial platform specializing in multi-chain swaps and mobile trading, has processed billions in transaction volume and recently closed a $75 million Series B funding round. By mapping this cluster of wallets across Solana and Base, the market gains clearer visibility into the strategies and capital flows of both retail and algorithmic trading. As social trading platforms gain traction across high-speed ecosystems, tracking these flows will be key to identifying early liquidity rotations and anticipating trends across major decentralized protocols. Disclaimer: Crypto Economy Flash News stories are prepared from official and verified public sources by its editorial team. Their purpose is to provide prompt information on relevant events in the crypto and blockchain ecosystem. This information does not constitute financial advice or investment recommendations. Crypto Economy recommend always checking the official channels of each project before making related decisions. Bitcoin Cash News TL;DR: Bitcoin cleared the $87,300 mark on September 21, 2026, marking its highest price level since January of the same year. The derivatives market recorded Technology TL;DR World launches Money, a self-custody super app available in over 150 countries, offering stablecoin payments and eight currencies. The app integrates Stripe, Kalshi, and CryptoCurrency News TL;DR: Fomo generated $1.76 million in Friday revenue, beating Pump.fun's $1.1 million for the day, although Pump.fun still leads over the past 30 days. More Solana News TL,DR: The Solana decentralized application ecosystem generated $143.23 million in revenue during August. The Pump.fun platform contributed approximately $58.2 million, accounting for more than 40% TL;DR: Crypto trading app FOMO denied that a hack in its iOS version caused the $6M in losses reported on social media. Co-founder Prashan Dharmasena flash news Fomo said that it closed a $75M Series B led by Index Ventures, with participation from Union Square Ventures and existing investor Benchmark. The company Follow Crypto Economy on Social Networks Crypto Tutorials Crypto Reviews

HLC
Sep 29th, 2026
Summer of '26 - Hogan Lovells Cadwalader's Corporate & Finance lawyers in Spain look back on intense deal activity.

Summer of '26 - Hogan Lovells Cadwalader's Corporate & Finance lawyers in Spain look back on intense deal activity. Press releases | 29 September 2026 - The firm strengthens its position in the Spanish market advising on numerous domestic and cross-border transactions during the summer period. The summer has once again seen intense transactional activity for Hogan Lovells Cadwalader in Spain. Between May and September, the firm's M&A, Capital Markets, Private Equity, Banking & Finance, Tax, Real Estate and Competition teams in Spain advised on more than 25 transactions with an aggregate value exceeding EUR 6.3bn and, if considering the Puig/Estée Lauder transaction, representing over EUR 41.5bn. The firm maintains the strong deal activity seen in recent years and further strengthens the team's position in the Spanish market. Hogan Lovells Cadwalader advised, among others: * Mapfre on the acquisition of Safety Insurance Group Inc., a transaction valued at USD 1.5bn, equivalent to approximately EUR 1.3bn. * TSK Electrónica y Electricidad on its initial public offering and stock market listing valued at EUR 150m. * Puig in its attempted c. USD 40bn business integration with Estée Lauder. * The joint global coordinators and the sellers on the accelerated book-built offering of shares of ACS for a total amount of approximately EUR 2bn. * Marsh on its acquisition of AltamarCAM, a global specialist private markets asset manager headquartered in Spain. * GETEC (JP Morgan) on the Spanish aspects of the acquisition of the Cogenio group from infrastructure fund Infracapital. * Alantra Private Equity on its acquisition of a majority stake in Deudafix, a Spanish specialist in debt management and consumer financial services through technology-enabled solutions. * The shareholders of Joanca, a Burgos-based logistics group, on its sale to Nansen Global Investment, an investment vehicle of Sherpa Private Equity. * Europe's leading construction equipment rental group Loxam on the acquisition of two Spanish companies. * Halma plc on the Spanish aspects of its acquisition of Pyxis, a provider of water quality monitoring technology with subsidiaries in the U.S., China and Spain. * Banco Santander on a dual fund finance transaction for Aurica Search Fund and Aurica Private Equity worth approximately EUR 50 million. * GMP on the acquisition of AstraZeneca's current corporate headquarters in Spain, an office complex located in Las Tablas, Madrid. * Unik Capital on the acquisition of a logistics asset in Seville developed by Hispavima and leased on a long-term basis to Conway. * Starwood Capital Group on the acquisition from Nuveen of four build-to-rent and build-to-sell residential projects located in Madrid, Alcalá de Henares, Pamplona and Córdoba. * Starwood Capital Group on the sale, to Square Asset Management, of the Omega Business Park office complex in Alcobendas, Madrid. * Corebridge Real Estate Investors on the sale to CBRE Investment Management of the build-to-rent residential complex "Central Q", located in Quart de Poblet, Valencia. This period has also marked a new, bold chapter for the firm on a global scale, following the transatlantic combination that created Hogan Lovells Cadwalader, effective from 1 July. Press contacts. María del Mar Navarro Marketing and Business Development Manager

CoinGecko
Aug 26th, 2026
How Nansen powers onchain intelligence across 500M+ wallets & 30+ chains.

How Nansen powers onchain intelligence across 500M+ wallets & 30+ chains. Nansen is an agentic trading platform that brings onchain analytics and execution, allowing investors to trade everything onchain with AI. Powered by 500 million labeled addresses with real-time data across major networks, Nansen helps investors, funds, and protocols turn complex onchain activity into actionable insights, providing visibility into market movements, wallet activity, and capital flows - right alongside trading. Its AI-powered features enable users to discover opportunities, execute trades, and manage portfolios through a single platform more efficiently. In 2026, Nansen expanded into active trading execution across Hyperliquid, Solana, and Base, while continuing to add support for emerging networks such as Robinhood Chain. CoinGecko API supports this expansion by giving Nansen consistent access to real-time and historical market data across both established and newly launched networks. Key metrics at a glance. * CoinGecko delivers price and market data across the 30+ blockchains Nansen tracks, covering assets traded on centralized exchanges and long-tail onchain tokens. * CoinGecko API's data powers key Nansen features, including Smart Money, Portfolio, and PnL, providing the pricing foundation users rely on to analyze opportunities and make trading decisions. * Nansen added support for Robinhood Chain within one day, enabled by CoinGecko's ready coverage of new networks, helping the team move quickly when new market demand emerges. The challenge: scaling onchain intelligence across multiple chains. Nansen needed timely and reliable market data across more than 30+ chains, covering established assets and long-tail tokens traded exclusively onchain. As the platform expanded from research into live execution, this data needed to support more than static dashboards. It had to provide actionable market context for token discovery, portfolio analysis, Smart Money intelligence, and real-time trading decisions. Nansen also required historical market data to help users examine performance over time and give Nansen AI deeper context when analyzing onchain activity. Why Nansen chose CoinGecko API. CoinGecko gives Nansen a unified market data layer across centralized and decentralized markets. Its coverage of major assets, long-tail onchain tokens, and newly launched networks allows Nansen to expand into new chains and product experiences without building separate market data integrations for each one. CoinGecko's batched API endpoints also allow Nansen to retrieve data for multiple assets within a single request. Combined with a predictable credit model where one API request consumes one call credit, this helps Nansen manage data retrieval and infrastructure costs efficiently as its asset and chain coverage grows. While Nansen combines multiple data sources to maintain data quality, CoinGecko remains an integral source for market prices across its products and experiences. What Nansen says about CoinGecko API. "Tracking Smart Money across dozens of chains only works if the underlying price data holds up. CoinGecko's coverage and uptime are what let us make that promise to our users. It also helps us respond quickly when new market demand emerges. We wouldn't have been able to integrate Robinhood Chain within a day if CoinGecko hadn't already had that network covered and readily available." - Hans Olav, Director of Engineering at Nansen How Nansen leverages CoinGecko API. CoinGecko market data is integrated across Nansen's core product experiences, powering token screeners, Smart Money intelligence, token pages, Nansen AI, and user portfolios. Smart Money and token screeners. Nansen's Token Screener combines market performance with proprietary signals such as Smart Money flows and trending onchain activity. This allows traders to compare what the market is doing with the wallets and entities driving that activity. The /coins/markets endpoint returns prices, market capitalization, fully diluted valuation, trading volume, rankings, and price changes for up to 250 assets in one request. For long-tail tokens traded onchain, Nansen uses /onchain/networks/{network}/tokens/multi/{addresses} to retrieve token and market data across multiple contract addresses efficiently. Together, these endpoints give Nansen a scalable market data layer for screening established coins and newly active onchain tokens alongside its Smart Money signals. Detailed token pages and charts. Nansen's detailed token pages bring market performance, onchain activity, and project information into a single view. For assets traded on both CEXs and DEXs, Nansen uses the /coins/{id} endpoint to obtain market data and metadata, while the /coins/{id}/market_chart endpoint provides historical prices, market capitalization, and trading volume for line charts. For assets exclusively traded onchain, Nansen uses the /onchain/networks/{network}/tokens/{token_address}/ohlcv/{timeframe} endpoint to display candlestick charts of a specific token. The /onchain/networks/{network}/tokens/{address}/info endpoint enriches token pages with names, symbols, logos, websites, descriptions, and social profiles. Nansen also uses /onchain/tokens/info_recently_updated to efficiently identify recently updated token information and subsequently retrieves new data to keep its product surfaces current. Onchain intelligence in Nansen AI. Nansen's agentic experience enables users to interact with onchain data through natural language, including generating live charts and intelligence views within a conversation. When Nansen AI delivers market insights or visualizations, it draws from the same market and onchain price endpoints used across the platform, ensuring consistent data across conversational experiences and core product surfaces. Portfolio and PnL valuations. Nansen's Portfolio and PnL experiences require current pricing across the assets held by each user, including long-tail tokens that trade exclusively onchain. For coins traded on CEXs and DEXs, the /simple/price endpoint provides lightweight price lookups across up to 500+ assets in a single API call. For onchain tokens, the /onchain/simple/networks/{network}/token_price/{addresses} endpoint retrieves real-time prices across multiple contract addresses in an efficient batched request. For historical performance analysis, Nansen uses /coins/{id}/market_chart to access time-series data including historical prices, market caps, and trading volumes, supporting realized and unrealized PnL calculations. Business outcomes: powering market context efficiently across Nansen. CoinGecko's market data complements Nansen's intelligence layer of more than 500M+ labeled addresses across over 30+ chains. This combination connects prices and market performance with wallet activity, Smart Money flows, known entities, and portfolio positions across Nansen's trading experiences, AI features, and developer tools. To efficiently scale market context across 30+ chains, Nansen uses an activity-based model that leverages its own onchain activity data to identify actively traded assets, then queries CoinGecko's endpoints for the assets that require updated pricing. By bringing timely market context and onchain intelligence together, Nansen gives traders a more complete view of what is moving, which wallets are involved, and how those movements affect their portfolios. What's next on Nansen's roadmap. Nansen is deepening its agentic trading infrastructure with AI-powered agents that can surface, analyze, and act on onchain signals. Its roadmap includes execution across more chains and assets, improved Smart Money tracking and trading strategies, and new API and CLI tools for builders. CoinGecko's price and market data will remain foundational as Nansen extends these capabilities across additional assets and product experiences. Get in touch. Ready to supercharge your crypto project? Fill in the form below to connect with our API Sales team for a custom CoinGecko API plan tailored to enterprise needs.

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