{"version":1,"id":"surf-ai","title":"Surf AI","summary":"Surf AI is an organization that provides an AI-powered market intelligence data platform and APIs that deliver crypto and US equity research, on-chain analytics, prediction-market data, and agent tooling for institutions and developers.","content":"**Surf AI** (styled **Surf**, and operating at asksurf.ai) is a [cryptocurrency](https://iq.wiki/wiki/cryptocurrency)-focused artificial intelligence platform developed by Cybertino Inc. that packages market data, on-chain analytics, prediction-market feeds, company financials and news into conversational research tools and developer APIs.[\\[1\\]](#cite-id-1exxwgxxev)​[\\[2\\]](#cite-id-6clfyx4m7b) Surf AI was founded in 2025 and co-founded by Ryan Li (co-founder and CEO), Shiyu and Zhimao Liu.[\\[12\\]](#cite-id-w50ujlmkpn)​[\\[13\\]](#cite-id-lvnie12dpn)​[\\[14\\]](#cite-id-7v35gchyj9) Since July 2025, Surf reports having helped more than 80,000 users generate over 1 million research reports.[\\[12\\]](#cite-id-w50ujlmkpn)​[\\[10\\]](#cite-id-o0vhsynbzj) The platform is built around a single shared data layer that feeds a family of consumer products and a set of developer interfaces, all served by Surf's proprietary surf-2.0 model family.[\\[4\\]](#cite-id-pd3ai5hqyj)​[\\[5\\]](#cite-id-mjz0emh4fx)​\n\n## History\n\nSurf AI was founded in 2025 as an AI intelligence platform for digital assets.[[12]](#cite-id-w50ujlmkpn)[[13]](#cite-id-lvnie12dpn) On 10 December 2025 the company announced a $15 million funding round led by [Pantera Capital](https://iq.wiki/wiki/pantera-capital), with participation from [Coinbase Ventures](https://iq.wiki/wiki/coinbase-ventures) and [Digital Currency Group](https://iq.wiki/wiki/digital-currency-group) (DCG).[[12]](#cite-id-w50ujlmkpn)[[15]](#cite-id-gmemoevp9n)[[10]](#cite-id-o0vhsynbzj) Alongside this round Surf introduced Surf 2.0, described as a new proprietary AI model purpose-built for digital assets with expanded data pipelines for market and on-chain intelligence and additional agents for complex, multi-step analytical workflows.[[12]](#cite-id-w50ujlmkpn)[[10]](#cite-id-o0vhsynbzj) By early-to-mid 2026 Surf reported scaling to more than 500,000 users and added feature upgrades such as YouTube analysis, file uploads with output files, and richer charting with inline technical indicators and export options.[[1]](#cite-id-1exxwgxxev)[[11]](#cite-id-w8p7dd7mmr)\n\n## Platform and Architecture\n\nSurf's current generation is branded **Surf 2.0**, which the company launched in early access as a platform that combines multi-model orchestration, crypto-native tooling and sector-specific data to complete crypto workflows end to end.[[3]](#cite-id-jbmx61x9wx) Rather than relying on a single large language model, Surf states that it runs on more than ten AI models, drawing on systems from xAI, OpenAI, Anthropic, Google, DeepSeek and Kimi alongside its own custom fine-tuned models. The company says orchestration between these models is automatic and that they are extended with proprietary tooling to handle crypto-specific tasks such as querying on-chain records and analyzing social sentiment. Surf frames this as its core differentiation, stating \"It's not one model, it's several. All orchestrated with specialized data, applying domain-informed reasoning, and using custom tools.\"[[3]](#cite-id-jbmx61x9wx)\n\nSurf 2.0 is exposed through two primary surfaces. **Surf Studio** is a no-code builder aimed at people, letting users turn natural-language prompts into custom crypto web apps without configuration or hosting. **Surf Agent Stack (SAS)** is the developer-facing surface, described as a set of APIs, Skills and an MCP server that opens Surf's data and reasoning as infrastructure for [AI agents](https://iq.wiki/wiki/ai-agents), packaged for integration into environments such as Claude Code and OpenClaw. According to the company, SAS added more than 60 new API endpoints across seven categories.[[3]](#cite-id-jbmx61x9wx)\n\n## Data Layer\n\nAll of Surf's products draw from one common data layer, which the company organizes into distinct domains and describes as spanning 12 data domains and more than 23,000 tracked projects.[[4]](#cite-id-pd3ai5hqyj) The company states the platform draws from more than 30 integrated industry-specific data sources together with its own proprietary database, and that its research engine connects more than 200 sources across 40 or more chains as well as US equities.[[3]](#cite-id-jbmx61x9wx)[[2]](#cite-id-6clfyx4m7b) In its funding announcement Surf characterizes Surf 2.0, which runs on this stack, as a new proprietary, state-of-the-art model built specifically for digital assets, supported by expanded data pipelines for market and on-chain intelligence and additional agents designed to handle complex, multi-step analytical workflows.[[10]](#cite-id-o0vhsynbzj)\n\nThe market-data component provides real-time prices sourced from 16 exchanges, pre-computed technical indicators including RSI, MACD, Bollinger Bands, NUPL, SOPR and MVRV, ETF flows for spot [Bitcoin](https://iq.wiki/wiki/bitcoin) and [Ethereum](https://iq.wiki/wiki/ethereum) products, and options data with Greeks, spread across 18 endpoints.[[4]](#cite-id-pd3ai5hqyj) An on-chain SQL layer is described as offering more than 80 analyst-ready tables with sub-second queries covering DEX trades across seven chains, token transfers, [total value locked (TVL)](https://iq.wiki/wiki/tvl), lending flows, [staking](https://iq.wiki/wiki/staking) and bridges, with agents able to auto-discover table schemas so queries do not need hardcoding.[[4]](#cite-id-pd3ai5hqyj) A Wallet Profiler returns multi-chain balances, DeFi positions across protocols such as [Aave](https://iq.wiki/wiki/aave), Lido, Uniswap, [Compound](https://iq.wiki/wiki/compound), Curve and [Morpho](https://iq.wiki/wiki/morpho), and transaction history with token-level detail.[[4]](#cite-id-pd3ai5hqyj)\n\nSurf's address-intelligence layer is described as covering more than 100 million labeled addresses across 13 networks, with entity-specific labels — the company cites examples such as \"[Binance](https://iq.wiki/wiki/binance) Hot Wallet 8,\" \"[Wintermute](https://iq.wiki/wiki/wintermute) Trading Desk\" and \"Jump Trading Address 3\" — rather than generic categories.[[4]](#cite-id-pd3ai5hqyj) Its prediction-market layer covers both [Polymarket](https://iq.wiki/wiki/polymarket) and [Kalshi](https://iq.wiki/wiki/kalshi) with cross-market matching, and the company states it holds more than 934 million rows of trade data along with order-book depth and whale position tracking.[[4]](#cite-id-pd3ai5hqyj) A funding and venture-capital domain covers rounds from seed through Series C with investor lists, valuations, lead investors, fund portfolios and rankings, while an AI news domain aggregates more than 30 sources — including [The Block](https://iq.wiki/wiki/the-block), [CoinDesk](https://iq.wiki/wiki/coindesk), [Cointelegraph](https://iq.wiki/wiki/cointelegraph), [Decrypt](https://iq.wiki/wiki/decrypt) and Blockworks — with AI classification by sentiment and relevance and original briefs branded \"Surf AI News.\"[[4]](#cite-id-pd3ai5hqyj) Elsewhere the company reports coverage metrics including more than 29.4 billion token transfer records across chains, over 120 million social posts indexed with more than 200,000 accounts monitored in real time, over 16,000 crypto projects tracked in Cryptopedia and more than 12,000 whale and key wallets monitored in real time.[[3]](#cite-id-jbmx61x9wx)\n\n## Products\n\nSurf markets a group of consumer products — the company describes the lineup as five products running on the same data and the same intelligence — that share the underlying data layer while addressing different tasks: answering questions, building apps, looking up projects and following the market.[\\[4\\]](#cite-id-pd3ai5hqyj)​\n\n### Surf Chat and Research\n\n**Surf Chat** is the core conversational agent, described as pulling from all 12 data domains simultaneously to answer crypto questions with live, cross-referenced and sourced data. Example queries include retrieving the funding history of [EigenLayer](https://iq.wiki/wiki/eigenlayer), checking [Ethereum](https://iq.wiki/wiki/ethereum) whale activity over the previous 24 hours, or comparing [Arbitrum](https://iq.wiki/wiki/arbitrum) and [Base](https://iq.wiki/wiki/base) DEX volume over 30 days.[\\[4\\]](#cite-id-pd3ai5hqyj) The research experience is delivered through a product Surf calls **Research**, which plans the work, pulls market, on-chain, filings and news evidence, cross-checks its findings and returns a single sourced report drawing on more than 200 connected sources across 40 or more chains plus US equities.[\\[2\\]](#cite-id-6clfyx4m7b)​\n\nResearch runs in two modes. **Instant Research** is built for fast facts and market checks, returning prices, metrics, definitions and quick comparisons with inline citations in what the company says is ten seconds or less. **Deep Research** runs a structured investigation with a visible plan and live progress, offered at four depth levels — Standard, Extended, Maximum and Ultra — and returning a structured report with findings, risks, counterarguments and citations.[\\[2\\]](#cite-id-6clfyx4m7b) Surf reports that in internal CAIA benchmarks Surf 1.0 outperformed general-purpose models such as GPT and Grok by up to four times on crypto-specific tasks, and presents Surf 2.0 as its successor intended to provide deeper and more reliable analysis.[\\[10\\]](#cite-id-o0vhsynbzj)​\n\nSurf exposes across these modes market data such as live price, spot and perpetual volume, open interest, funding and [liquidations](https://iq.wiki/wiki/liquidation); on-chain data including wallet balances, transfers, labels, DeFi positions and token flows; equities data covering US stocks and ETFs, financial statements, ratios and SEC filings; fundamentals such as teams, investors, funding, [tokenomics](https://iq.wiki/wiki/tokenomics) and unlock schedules; and news, governance and prediction-market odds.[\\[2\\]](#cite-id-6clfyx4m7b) Mid-2026 product updates added the ability to paste a YouTube link and have claims in the video checked against on-chain data, support for uploading files such as PDFs, images, CSVs and documents and generating output files from research, inline technical indicators drawn directly onto Surf's charts with CSV and PNG export, and interface changes including token-list widgets, improved entity tagging, curated starting-question categories and layout adjustments.[\\[11\\]](#cite-id-w8p7dd7mmr)​\n\n### Surf Studio\n\n**Surf Studio** is a no-code builder that turns a natural-language description into a working crypto web app connected to Surf's live data layer, allowing users to preview, tweak and deploy to a live URL. The company gives example prompts such as \"build me a whale alert dashboard\" or \"create a [Polymarket](https://iq.wiki/wiki/polymarket) vs [Kalshi](https://iq.wiki/wiki/kalshi) arb scanner,\" and states that every generated app ships with real-time crypto data — prices, wallets, on-chain and prediction markets — already wired in, claiming a path from \"zero to production in 5-10 minutes.\"[\\[4\\]](#cite-id-pd3ai5hqyj) Live examples of apps built with Surf that the company has cited include a prediction-market geopolitics dashboard, a crypto wallet forensics app, a \"VC Report Card\" and a Bittensor ecosystem map.[\\[3\\]](#cite-id-jbmx61x9wx)​\n\n### Cryptopedia and Crypto Pulse\n\n**Cryptopedia** is Surf's structured library of crypto projects, which the company describes as covering more than 23,000 projects, each broken down by on-chain activity, funding history, [tokenomics](https://iq.wiki/wiki/tokenomics), team, DeFi metrics and [airdrop](https://iq.wiki/wiki/airdrop) status and cross-referenced against live data.[\\[4\\]](#cite-id-pd3ai5hqyj) Cryptopedia incorporates a **Signal Map** that scores every price move against an asset's own history so that unusual moves rank above ordinary ones, ranking the market's largest anomalies and naming the driver of each. It draws on ten live signal inputs — including price, spot and perpetual volume, open interest, funding and [liquidations](https://iq.wiki/wiki/liquidation) — and organizes them into four intelligence dimensions labelled Movement, [Flow](https://iq.wiki/wiki/flow), Derivatives and Attention, producing explainable output that shows what changed, why it is unusual and which inputs drove it, along with a signal direction indicating whether an anomaly is strengthening or fading.[\\[2\\]](#cite-id-6clfyx4m7b) Selecting a signal opens the full project record, described as five intelligence layers with more than 50 data points per project spanning live markets and derivatives, team, funding, [tokenomics](https://iq.wiki/wiki/tokenomics), news and prediction-market context; for US-listed names the record adds company profile, financial statements, ratios and SEC filings.[\\[2\\]](#cite-id-6clfyx4m7b)​\n\n**Crypto Pulse** is a live news product that pairs a daily event feed of more than 1,000 items with more than 80 AI-written briefings per day, and supports six languages. The company states the real-time feed catches funding rounds, listings, releases, price events and influential posts as they land, and that the news is AI-classified by sentiment — bullish, bearish or neutral — and relevance, with no algorithmic timeline, engagement bait or promoted content.[\\[2\\]](#cite-id-6clfyx4m7b)​[\\[4\\]](#cite-id-pd3ai5hqyj)​\n\n## Developer Infrastructure\n\nFor builders, Surf exposes its data and reasoning through the Surf Agent Stack, comprising a Chat API, a Data API, a Skill for AI coding agents, an MCP server and a command-line interface. The company summarizes three ways to access the platform: a one-line install for AI coding agents; a Skill offering more than 100 commands that takes natural language in and returns structured data out; and roughly 120 public RESTful endpoints across 17 domains for direct programmatic access, including nine equity endpoints — all unified under a single API key covering more than 40 [blockchains](https://iq.wiki/wiki/blockchain), over 200 data sources and US-listed equities.[[5]](#cite-id-mjz0emh4fx)\n\n### Chat API\nThe **Chat API** embeds the same conversational crypto research experience found at asksurf.ai into external applications, returning fully sourced natural-language answers that can include live prices, on-chain activity, social signal, ETF flows and macro context.[[6]](#cite-id-6fye3mttkh) It is served by a component called **Research 2.0** at the OpenAI-compatible endpoint `POST /v1/responses`, powered by the surf-2.0 model family and fronted by a proxy named Hermod that handles authentication, credit billing and request routing.[[7]](#cite-id-3f8ugvpezp) The company markets Research 2.0 with claims of \"faster answers, deeper coverage, more reliable reasoning,\" including four times fewer hallucinations, twice the answer depth and twice the research-logic consistency relative to the prior generation.[[7]](#cite-id-3f8ugvpezp)\n\nTwo model variants are offered. `surf-2.0-instant` is the faster, lower-latency option and always costs 20 credits per call, while `surf-2.0` is described as the full research engine whose cost scales with a `reasoning.effort` parameter: an omitted or \"none\" effort costs 20 credits, \"minimal\" 30, \"low\" 50, \"medium\" 120, \"high\" 150 and \"xhigh\" 200 credits per call. The documentation recommends \"medium\" effort for most questions, \"low\" or \"minimal\" for latency-sensitive lookups, and \"high\" or \"xhigh\" for complex open-ended research.[[6]](#cite-id-6fye3mttkh)[[7]](#cite-id-3f8ugvpezp) The prior-generation Research 1.5 endpoint, `POST /v1/chat/completions`, has been deprecated and now returns HTTP 410 Gone, with users directed to adopt the Research 2.0 `POST /v1/responses` endpoint instead.[[6]](#cite-id-6fye3mttkh)[[7]](#cite-id-3f8ugvpezp)\n\n### Data API\nThe **Data API** provides typed REST endpoints for crypto market data, project analytics, on-chain queries, US equities, company financials and ETF holdings, each billed per request in credits and rate-limited per API key.[[8]](#cite-id-69h4sy46xh) Endpoints are grouped by domain, including exchange data (last traded price, OHLCV candlesticks, live order-book depth, and perpetual-specific funding history and long/short ratios); market endpoints (CoinGecko-sourced hourly prices, rankings, BTC-centric on-chain indicators such as NUPL, SOPR and MVRV, and daily flow data for US spot BTC and ETH ETFs); token endpoints for DEX trades, transfers and top holders; wallet endpoints for balances, DeFi positions, labels and historical net worth; project endpoints for DeFi metrics and rankings; fund endpoints returning fund profiles, portfolios and rankings; prediction-market endpoints for [Polymarket](https://iq.wiki/wiki/polymarket) and [Kalshi](https://iq.wiki/wiki/kalshi); news, search and web-fetch endpoints; and on-chain endpoints that allow single transaction lookups, structured queries, and arbitrary SQL against 106 ClickHouse tables across eight chains.[[8]](#cite-id-69h4sy46xh) Supported chains identified by canonical name include [Ethereum](https://iq.wiki/wiki/ethereum), [Polygon](https://iq.wiki/wiki/polygon), [BNB Chain](https://iq.wiki/wiki/binance-smart-chain), [Solana](https://iq.wiki/wiki/solana), [Avalanche](https://iq.wiki/wiki/avalanche), [Arbitrum](https://iq.wiki/wiki/arbitrum), [Optimism](https://iq.wiki/wiki/optimism), [Fantom](https://iq.wiki/wiki/fantom), [Base](https://iq.wiki/wiki/base), [Linea](https://iq.wiki/wiki/linea) and [Cyber](https://iq.wiki/wiki/cyberconnect).[[8]](#cite-id-69h4sy46xh)\n\nThe Data API also offers an opt-in address-label enrichment feature: six endpoints accept an `include=labels` parameter that attaches entity-label records — covering exchanges, protocols, funds, market makers, notable wallets and ENS-registered addresses — to every address in a response. The feature is additive, so responses without the parameter remain byte-identical to the pre-feature format; labels are cached per address for roughly one hour, and a 200-millisecond timeout wraps each enrichment call so that a slow label backend returns unlabeled items rather than failing the request.[[8]](#cite-id-69h4sy46xh)\n\n### Skill, CLI and Equity Endpoints\nThe **Surf Skill** can be installed into AI coding agents such as Claude Code and Cursor, giving an agent more than 100 crypto data commands that it can call in natural language.[[5]](#cite-id-mjz0emh4fx) The documented Skill domains and command counts include Prediction Market (23 commands for [Polymarket](https://iq.wiki/wiki/polymarket) and [Kalshi](https://iq.wiki/wiki/kalshi) events, trades, prices and analytics), Market (15 commands), Search (12), Exchange (9), [Hyperliquid](https://iq.wiki/wiki/hyperliquid) (9 for trader positions, fills, orders and leaderboards), Onchain SQL (8 commands over 106 ClickHouse tables across eight chains), Wallet and Token (6 each), Project (5), Signal (4 for token heat scores), Fund (3), News (2), and single-command DEX and Web domains.[[5]](#cite-id-mjz0emh4fx) The company states the Skill \"teaches Claude Code and Cursor to query Surf's [CLI](https://iq.wiki/wiki/cli) natively — no hardcoding.\"[[4]](#cite-id-pd3ai5hqyj) The Data API also adds nine public equity endpoints for US stocks and ETFs, split between market-context endpoints (price candles, listings and ETF holdings) and company-fundamentals endpoints (profiles, overview, income statement, balance sheet, cash flow and metrics).[[5]](#cite-id-mjz0emh4fx)","categories":[{"id":"organizations","title":"organizations"}],"tags":[{"id":"DataPlatform"},{"id":"Ethereum"},{"id":"Solana"},{"id":"BNBChain"},{"id":"Avalanche"}],"images":[{"id":"QmZzDpTQNufrQaqcxTvuG1CNC4uUPcdXAX5GKVZ58XBcXH","type":"image/jpeg, 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products\",\"timestamp\":1788969698853},{\"id\":\"mjz0emh4fx\",\"url\":\"https://docs.asksurf.ai/\",\"description\":\"surf-2.0 model family powers Chat API\",\"timestamp\":1788969698853},{\"id\":\"6fye3mttkh\",\"url\":\"https://agents.asksurf.ai/docs/chat/overview\",\"description\":\"Chat API embeds conversational research\",\"timestamp\":1788969698853},{\"id\":\"3f8ugvpezp\",\"url\":\"https://docs.asksurf.ai/chat/responses\",\"description\":\"Research 2.0 endpoint and Hermod proxy\",\"timestamp\":1788969698853},{\"id\":\"69h4sy46xh\",\"url\":\"https://platform.asksurf.ai/docs/data-api/overview\",\"description\":\"Data API scope and billing\",\"timestamp\":1788969698853},{\"id\":\"r29rplsw0q\",\"url\":\"https://asksurf.ai/faq\",\"description\":\"FAQ sections on subscription and products\",\"timestamp\":1788969698853},{\"id\":\"o0vhsynbzj\",\"url\":\"https://asksurf.ai/blog/en/surf-raises-15m-to-scale-the-first-ai-model-purpose-built-for-digital-assets\",\"description\":\"Surf $15 million funding round led by Pantera Capital\",\"timestamp\":1788970150958},{\"id\":\"w8p7dd7mmr\",\"url\":\"https://asksurf.ai/blog/en/8-ways-the-gap-between-your-question-and-your-decision-just-got-shorter\",\"description\":\"Mid-2026 Surf feature updates\",\"timestamp\":1788970150958},{\"id\":\"w50ujlmkpn\",\"url\":\"https://www.prnewswire.com/news-releases/surf-raises-15m-to-scale-the-first-ai-model-purpose-built-for-digital-assets-302638051.html\",\"description\":\"Surf $15m funding press release\",\"timestamp\":1788971128776},{\"id\":\"lvnie12dpn\",\"url\":\"https://www.linkedin.com/company/asksurf-ai\",\"description\":\"Surf AI LinkedIn company profile\",\"timestamp\":1788971128776},{\"id\":\"7v35gchyj9\",\"url\":\"https://asksurf.ai/meettheteam\",\"description\":\"Surf AI \\\"Meet the team\\\" page\",\"timestamp\":1788971128776},{\"id\":\"gmemoevp9n\",\"url\":\"https://www.linkedin.com/posts/asksurf-ai_surf-has-powered-1m-research-reports-for-activity-7438757429468823553-LGOd\",\"description\":\"Surf LinkedIn funding announcement\",\"timestamp\":1788971128776}]"},{"id":"previous_cid","value":"QmYc2jrETPEGkF17RNnh1MzEZbt2L1vdd96y1GDvgypyXW"},{"id":"commit-message","value":"Trim Surf AI wiki, remove 402 words"},{"id":"previous_cid","value":"QmYc2jrETPEGkF17RNnh1MzEZbt2L1vdd96y1GDvgypyXW"}],"events":[{"title":"Surf AI founded","date":"2025-01-01","type":"DEFAULT","description":"Surf AI is founded as an AI intelligence platform for digital assets.","link":"https://www.linkedin.com/company/asksurf-ai","country":"USA","continent":"North America","multiDateStart":null,"multiDateEnd":null,"id":"357d3544-09d1-48f0-8bb3-e63614faa139"},{"title":"Surf AI announces $15 million funding round and Surf 2.0","date":"2025-12-01","type":"DEFAULT","description":"Surf AI announces a $15 million funding round led by Pantera Capital and introduces Surf 2.0, a proprietary model and expanded data pipelines for digital assets.","link":"https://www.prnewswire.com/news-releases/surf-raises-15m-to-scale-the-first-ai-model-purpose-built-for-digital-assets-302638051.html","country":"USA","continent":"North America","multiDateStart":null,"multiDateEnd":null,"id":"f9e34170-867f-4667-85e2-892b7bd75a55"},{"title":"Mid-2026 feature updates to Surf research experience","date":"2026-06-01","type":"DEFAULT","description":"Surf AI rolls out mid-2026 updates including YouTube analysis, file uploads with output files, and richer charting with embedded technical indicators and exports.","link":"https://asksurf.ai/blog/en/8-ways-the-gap-between-your-question-and-your-decision-just-got-shorter","country":"USA","continent":"North 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