# AlphAI vs Surf

AlphAI records 232 monthly visits with 0% 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 | [AlphAI](https://openaitools.app/tool/alphaai) | [Surf](https://openaitools.app/tool/surf) |
| :--- | :--- | :--- |
| Website URL | https://alphai.io/developers | https://asksurf.ai |
| Categories | AI For Finance | AI Crypto, AI Copywriting, AI Creative Writing, AI For Finance |
| Pricing Model | Freemium | Free, Pro, Max, API credits |
| Monthly Visits | 232 | 116,252 |
| MoM Growth Rate | 0% | -18.9% |
| Primary Market | Global | South Korea |
| Direct Visits | 90 | 88,813 |
| Review Score | 4.1 | 4.2 |
| Saved Count | 0 | 0 |
| Supported Platforms | Website | Website |

## AlphAI

AlphAI sits between the global financial press and whatever consumes it — a trading bot, an internal dashboard, or an LLM agent that needs market context. Rather than handing over a raw news firehose, the service runs a four-stage pipeline: a GDELT-driven monitor and a SEC EDGAR tailer collect stories, an LLM pass scores each one 1-10 for relevance and writes per-ticker sentiment with reasoning, tickers are validated against active symbol lists, and only articles clearing the relevance floor are served. According to the vendor, fewer than one in five stories makes the cut.

The output is deliberately machine-readable. A single GET request to the news endpoint returns plain JSON with cursor pagination, and filters like symbol, category and min_relevance are applied server-side so irrelevant rows never cost you tokens. An official MCP server exposes the same feed as agent tools — news search, ticker feed, trending names, insider activity, economic calendar, macro and alerts — which makes it straightforward to wire into Claude Desktop, Cursor or a custom agent backend. Typed Python and TypeScript SDKs handle pagination, retries on 429/5xx and rate-limit inspection.

Pricing is tiered. The free plan includes the full website feed with unlimited daily reads plus a starter API and MCP allotment (20 requests per minute, 100 per day, one key) for non-commercial use. Basic and Pro subscriptions lift those limits, remove ads, extend archive depth and unlock commercial licensing, while an Enterprise tier covers custom volume, full-archive exports, data-syndication licensing and self-hosted deployments. Payments are handled by Stripe.

**Pricing & Plans:** Freemium. Free forever tier with the full website feed, a starter API/MCP allotment (20/min, 100/day) and a 30-day archive for personal, non-commercial use. Basic is listed at $2.99/month early-access ($7.99 standard) and Pro at $9.99/month early-access ($24.99 standard), each raising rate limits, extending archive depth and adding commercial-use rights. Enterprise covers custom volume, syndication licensing and self-hosting via contact.

- **Relevance scoring on every article:** An LLM pass assigns each story a 1-10 relevance score and a topic category, so you can filter at request time with the min_relevance parameter instead of post-processing noise.
- **Per-ticker sentiment with reasoning:** Stories are linked to the tickers they affect and annotated with sentiment, confidence and a written explanation — structured context an agent can hand straight to a model.
- **MCP server for agents:** An official Model Context Protocol endpoint exposes news search, ticker feeds, trending, insider activity, calendar, macro and alerts as callable tools for Claude Desktop, Cursor or custom agents.
- **SEC filing ingestion:** A worker tails SEC EDGAR for Form 4, 8-K and 6-K filings, turning insider trades and corporate events into feed rows within minutes rather than hours.
- **Official Python and TypeScript SDKs:** Typed clients cover pagination, 429/5xx retries, typed errors and rate-limit inspection, or you can stay with plain JSON over HTTPS and any HTTP client.

**Strengths:** Stories arrive pre-scored and ticker-linked, so the filtering work happens before your code or your token budget sees them; Both REST and MCP surfaces are served from the same feed, which suits traditional backends and LLM agents equally; Free tier is genuinely usable for evaluation, with no credit card required to get a key; Typed Python and TypeScript SDKs plus an OpenAPI 3.1 spec reduce integration friction

**Limitations:** Free plan is licensed for non-commercial use only, so any production or in-product deployment needs a paid tier; Requires sign-up and an API key even for the free allotment, and the API is server-side only with no CORS support; Coverage skews to US-listed tickers and mainstream financial press, which may not fit every market

[Profile (Markdown)](https://openaitools.app/tool/alphaai.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 AlphAI and Surf compare in monthly traffic?

AlphAI has 232 monthly visits, while Surf has 116,252. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

AlphAI has a month-over-month growth rate of 0%; Surf has -18.9%.

### How does pricing compare?

AlphAI: Freemium. Freemium. Free forever tier with the full website feed, a starter API/MCP allotment (20/min, 100/day) and a 30-day archive for personal, non-commercial use. Basic is listed at $2.99/month early-access ($7.99 standard) and Pro at $9.99/month early-access ($24.99 standard), each raising rate limits, extending archive depth and adding commercial-use rights. Enterprise covers custom volume, syndication licensing and self-hosting via contact. 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 | [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) |
| 5 | [Digitap.ai](https://openaitools.app/tool/credit-report-analytics-api) | 141,204 | -14.9% | Contact for Pricing | AI APIs for credit underwriting and digital customer onboarding | [.md](https://openaitools.app/tool/credit-report-analytics-api.md) |
| 6 | [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) |
| 7 | [Clarity AI](https://openaitools.app/tool/clarity-ai) | 74,596 | -22.5% | Contact for Pricing | AI-native platform for extra-financial intelligence | [.md](https://openaitools.app/tool/clarity-ai.md) |
| 8 | [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) |
| 9 | [Amsflow](https://openaitools.app/tool/amsflow) | 37,303 | +72.2% | Free Trial, Paid | Institutional-depth market research with an AI copilot that builds, backtests, and screens for you | [.md](https://openaitools.app/tool/amsflow.md) |
| 10 | [Moontower](https://openaitools.app/tool/moontower) | 32,164 | +49.5% | Freemium | AI-powered volatility intelligence with proprietary options charts, cited answers and an MCP server for your own agent. | [.md](https://openaitools.app/tool/moontower.md) |

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Source: https://openaitools.app/compare/alphaai-vs-surf

More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)