# AutoBTC.ai (AutoPilot AI) vs Surf

AutoBTC.ai (AutoPilot AI) records 10,740 monthly visits with +10.7% month-over-month growth and Freemium pricing. Surf records 116,252 monthly visits with -18.9% growth and Free, Pro, Max, API credits pricing.

| Metric | [AutoBTC.ai (AutoPilot AI)](https://openaitools.app/tool/autobtc-ai) | [Surf](https://openaitools.app/tool/surf) |
| :--- | :--- | :--- |
| Website URL | https://autobtc.ai | https://asksurf.ai |
| Categories | AI Crypto, AI For Finance, AI Assistant | AI Crypto, AI Copywriting, AI Creative Writing, AI For Finance |
| Pricing Model | Freemium | Free, Pro, Max, API credits |
| Monthly Visits | 10,740 | 116,252 |
| MoM Growth Rate | +10.7% | -18.9% |
| Primary Market | Hong Kong SAR China | South Korea |
| Direct Visits | 10,740 | 88,813 |
| Review Score | 3.6 | 4.2 |
| Saved Count | 1 | 0 |
| Supported Platforms | Website | Website |

## AutoBTC.ai (AutoPilot AI)

AutoPilot AI presents itself as an autonomous quantitative engine for Bitcoin rather than a manual trading terminal. Its stated core is a 120-period trend model that acts as a consensus boundary: break above it and the system takes long exposure, fall below it and it retreats. Around that signal the vendor layers dynamic position sizing, local leverage on 4-hour candles, and protocol-level controls it describes as drawdown protection and a black-swan wick filter designed to avoid stop-outs on extreme wicks.

The strategy line-up covers four risk profiles. AutoPilot Core is long-only trend capture, AutoPilot Velocity is an enhanced long strategy that responds faster to momentum, AutoPilot Horizon runs a long/short hedge matrix intended to perform in both bull and bear phases, and AutoPilot Shield uses flexible leverage for lower-drawdown capital preservation. The marketing site pairs each with claimed historical backtest figures and risk grades, and advertises a headline 542.1x growth since 2023 with a 169.6% CAGR.

Execution is positioned around decentralised settlement, with the vendor emphasising Hyperliquid and other on-chain layers to avoid exchange outages and black-box matching. Anyone evaluating the product should treat the performance numbers as vendor-supplied historical backtests, since past performance in crypto does not guarantee future results and leveraged strategies can lose capital rapidly. Cryptocurrency trading is inherently high risk.

**Pricing & Plans:** AutoBTC.ai does not publish standard subscription pricing on its landing page; it presents itself as an algorithmic trading product with a freemium entry point and directs interested users through a launch or strategy sign-up flow. Specific fee structures, minimum capital and any performance fees are not disclosed on the public homepage, so they should be confirmed directly with the vendor before committing funds.

- **120-period trend model:** A Donchian-style channel acts as the system's consensus defence line, triggering long exposure on confirmed breakouts and retreating when the trend breaks down.
- **Dynamic leverage and drawdown control:** The engine compounds on 4-hour signals with adjustable local leverage and a stated drawdown management and wick-filter layer to survive extreme volatility.
- **Four risk-profiled strategies:** Core (long-only), Velocity (enhanced long), Horizon (long/short hedge) and Shield (flexible leverage) cover different risk appetites and return targets.
- **Multi-source signal aggregation:** The system claims to ingest fear and greed indexes, funding rates and on-chain flows at millisecond granularity to isolate genuine trend momentum.
- **On-chain execution via Hyperliquid:** Trades settle on decentralised high-performance layers, which the vendor frames as avoiding exchange downtime and opaque order matching.

**Strengths:** Fully rules-based execution removes emotional decision-making and hesitation from Bitcoin trading; Multiple strategy products let users match risk appetite instead of running a single fixed approach; Explicit emphasis on drawdown and wick protection addresses the main failure mode of leveraged crypto trading; On-chain settlement via Hyperliquid reduces exposure to centralised exchange outages

**Limitations:** Published performance figures are vendor-supplied backtests that should not be treated as guaranteed returns; Leveraged automated crypto trading can lose capital quickly, and the risk disclosure is only a single line on the site; Fee structure, minimum capital and audit details are not clearly published on the public homepage

[Profile (Markdown)](https://openaitools.app/tool/autobtc-ai.md)

## Surf

Surf positions itself as the intelligence layer for open financial markets. The core experience is conversational: you ask a question about a token, a protocol, a company, or a market move, and the system returns an answer grounded in live market feeds, onchain events, SEC filings, and news, with the underlying sources cited so you can verify the reasoning. Around that chat experience, Surf layers a set of named products such as CryptoPulse and Cryptopedia, plus an in-browser Studio for building analysis.

What separates Surf from a generic chatbot is the data plumbing behind it. The company says its datasets are kept current, structured, and unified across fragmented sources before any model touches them, which matters because much of crypto data is scattered across exchanges, chains, and regional venues. Surf also highlights its coverage of hard-to-source markets, including multilingual Asian centralized exchange data, as a differentiator for institutional research.

For builders, Surf exposes the same intelligence through an API, an MCP server, a CLI, and reusable agent skills, so a research desk can embed crypto and equities context directly into its own agents and internal tools. Surf states it is used by more than 500,000 users across 700-plus organizations, and its developer layer is documented separately for teams that want to integrate rather than click. Surf is operated by Cybertino Inc. and is not affiliated with any exchange or broker; outputs are research assistance, not investment advice.

**Pricing & Plans:** Surf publishes a tiered pricing page covering Free, Pro, and Max plans alongside API credit packages, with annual billing options and Studio credits bundled at higher tiers. Exact figures change over time, so check the official pricing page before purchasing.

- **Cited conversational analyst:** Ask questions about tokens, protocols, or equities in plain language and receive answers backed by visible sources rather than unsupported assertions.
- **Unified multi-source data:** Market prices, onchain events, SEC filings, and news are normalized into one structured layer so the model reasons over consistent inputs.
- **Developer integration layer:** API, MCP server, CLI, and agent skills let teams wire Surf intelligence into their own agents, dashboards, and internal research workflows.
- **CryptoPulse and Cryptopedia products:** Purpose-built modules for tracking market-moving developments and for looking up structured context on projects and assets.
- **Coverage of hard-to-source markets:** Surf emphasizes structured multilingual data from Asian centralized exchanges, a category many Western data vendors handle poorly.

**Strengths:** Answers come with citations, which makes verification practical rather than a leap of faith.; Covers both onchain crypto data and US equities in a single interface, useful for cross-asset research.; Genuine developer surface area: API, MCP, CLI, and agent skills, not just a chat box.; Institutional framing and published case studies signal real deployments with funds and exchanges.

**Limitations:** It is a research and intelligence tool, not a trading or execution venue, so it will not place orders for you.; Deeper data access and higher usage tiers sit behind paid plans and API credits.; Coverage quality varies by asset and venue; niche or thinly traded markets may return thinner answers.

[Profile (Markdown)](https://openaitools.app/tool/surf.md)

## Frequently Asked Questions

### How do AutoBTC.ai (AutoPilot AI) and Surf compare in monthly traffic?

AutoBTC.ai (AutoPilot AI) has 10,740 monthly visits, while Surf has 116,252. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

AutoBTC.ai (AutoPilot AI) has a month-over-month growth rate of +10.7%; Surf has -18.9%.

### How does pricing compare?

AutoBTC.ai (AutoPilot AI): Freemium. AutoBTC.ai does not publish standard subscription pricing on its landing page; it presents itself as an algorithmic trading product with a freemium entry point and directs interested users through a launch or strategy sign-up flow. Specific fee structures, minimum capital and any performance fees are not disclosed on the public homepage, so they should be confirmed directly with the vendor before committing funds. Surf: Free, Pro, Max, API credits. Surf publishes a tiered pricing page covering Free, Pro, and Max plans alongside API credit packages, with annual billing options and Studio credits bundled at higher tiers. Exact figures change over time, so check the official pricing page before purchasing.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [LuxAlgo](https://openaitools.app/tool/luxalgo) | 985,376 | +9.8% | Freemium, Free Trial, Paid | AI trading indicators, real-trade orderflow and charts in one platform | [.md](https://openaitools.app/tool/luxalgo.md) |
| 2 | [MacroMicro](https://openaitools.app/tool/macromicro) | 928,258 | +22.5% | Freemium, Paid | Global macro data and AI research platform for smarter economic decisions | [.md](https://openaitools.app/tool/macromicro.md) |
| 3 | [Aime](https://openaitools.app/tool/aime) | 260,428 | +11.4% | Freemium | AI investing copilot for stock research, screening and market signals | [.md](https://openaitools.app/tool/aime.md) |
| 4 | [TradesViz](https://openaitools.app/tool/tradesviz) | 226,547 | -7.7% | Freemium | An AI-powered trading journal with 600+ statistics and broker auto-sync | [.md](https://openaitools.app/tool/tradesviz.md) |
| 5 | [Composer](https://openaitools.app/tool/composer-your-ai-copilot-for-trading) | 219,564 | +11.8% | Freemium, Paid | AI-assisted, no-code automated trading strategies you can backtest and run | [.md](https://openaitools.app/tool/composer-your-ai-copilot-for-trading.md) |
| 6 | [Intellectia.Ai](https://openaitools.app/tool/intellectia-ai) | 171,347 | +18% | Free Trial, Paid | AI-driven market analysis for faster, data-backed investing decisions | [.md](https://openaitools.app/tool/intellectia-ai.md) |
| 7 | [TradingFinder (TFLab)](https://openaitools.app/tool/auto-ai-trendlines-indicator-to-tradingview) | 119,669 | -11.9% | Free, Paid | Forex, crypto and stock education plus AI-assisted trading indicators and tools | [.md](https://openaitools.app/tool/auto-ai-trendlines-indicator-to-tradingview.md) |
| 8 | [Tradytics](https://openaitools.app/tool/tradytics-com) | 103,044 | -9.9% | Freemium, Free Trial | Options flow, dark pools and dealer gamma with an AI analyst built in | [.md](https://openaitools.app/tool/tradytics-com.md) |
| 9 | [OctoBot](https://openaitools.app/tool/octobot) | 69,790 | -22% | Freemium, Free Trial | Automate crypto strategies, no coding required | [.md](https://openaitools.app/tool/octobot.md) |
| 10 | [LunarCrush](https://openaitools.app/tool/lunarcrush-com) | 69,001 | -9.1% | Paid | Real-time social sentiment and market intelligence across 40+ categories | [.md](https://openaitools.app/tool/lunarcrush-com.md) |

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Source: https://openaitools.app/compare/autobtc-ai-vs-surf

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