# AlphAI vs Moontower

AlphAI records 232 monthly visits with 0% month-over-month growth and Freemium pricing. Moontower records 32,164 monthly visits with +49.5% growth and Freemium pricing.

| Metric | [AlphAI](https://openaitools.app/tool/alphaai) | [Moontower](https://openaitools.app/tool/moontower) |
| :--- | :--- | :--- |
| Website URL | https://alphai.io/developers | https://moontower.ai |
| Categories | AI For Finance | AI Copilot, AI For Finance, AI Investing, AI For Data Analytics |
| Pricing Model | Freemium | Freemium |
| Monthly Visits | 232 | 32,164 |
| MoM Growth Rate | 0% | +49.5% |
| Primary Market | Global | United States |
| Direct Visits | 90 | 25,880 |
| Review Score | 4.1 | 4.3 |
| Saved Count | 0 | 2 |
| 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)

## Moontower

Moontower positions itself as AI-powered volatility intelligence rather than a generic screener. Instead of reselling third-party data, it computes its own volatility surfaces, derives the downstream metrics itself, and renders them in a set of opinionated charts spanning a cockpit, dashboard, trade ideas and drill-down views. The result is a platform that speaks the language of professional vol traders while staying usable for individuals.

The headline feature is the Moontower Agent, an AI assistant that answers questions such as whether a name's volatility is cheap or rich into earnings, which stocks have the richest skew against their own history, or how to price a zero-cost collar. Answers are grounded in market data with sentence-level citations, and the team stresses that prompts and documents are never used to train models, with audit logs available for Enterprise. Structured workflows for income, defensive and collar strategies turn that context into trades.

For developers and quant workflows, Moontower runs a hosted MCP server. Adding it with one command gives Claude Code and other MCP clients 16 typed tools covering implied vol, skew, constant-maturity IV, option chains, trade ideas and cockpit statistics, authenticated via OAuth or an API key. Moontower reports 5,000+ traders, 500+ monitored assets, 52 proprietary charts and more than 100 million tokens processed per month.

**Pricing & Plans:** Moontower uses a freemium model with a free sign-up tier and paid plans for individuals and firms; enterprise features such as audit logs and the funding suite are available. The hosted MCP server is included on every plan at 2 credits per call. Exact prices are best confirmed on the site or via a demo.

- **Proprietary vol surfaces and charts:** Moontower computes its own volatility surfaces, derives downstream metrics and presents them in 52 proprietary charts covering a live dashboard, cockpit, trade ideas and drill-down views.
- **AI agent with cited answers:** The Moontower Agent answers questions like whether NVDA vol is cheap into earnings, grounding every claim with sentence-level citations from market data, research or your firm's own knowledge base.
- **Trade workflows:** Workflow templates for income (covered calls, cash-secured puts), defensive defined-downside exposure and collars including zero-cost collars map market context to concrete structures.
- **Hosted MCP server:** A hosted MCP server exposes 16 typed tools — implied vol, skew, constant-maturity IV, option chains, trade ideas and cockpit statistics — to Claude Code and other MCP clients over HTTP.
- **Cross-asset screening:** Screen across equities, ETFs, crypto and more for rich or cheap variance risk premium, IV rank and skew relative to each name's own history, while filtering by earnings dates and liquidity.

**Strengths:** Computes its own volatility surfaces rather than reselling third-party data.; AI answers come with sentence-level citations, which builds trust for trading decisions.; MCP server gives Claude Code and other agents direct, typed access to options data.; Covers multiple asset classes and workflows including income, defensive and collar strategies.

**Limitations:** Serious options analytics carry a learning curve for beginners.; Full desk-grade features and the funding suite are aimed at firms and may require a demo or higher-tier plan.; Output is strictly educational analytics, not investment advice.

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

## Frequently Asked Questions

### How do AlphAI and Moontower compare in monthly traffic?

AlphAI has 232 monthly visits, while Moontower has 32,164. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

AlphAI has a month-over-month growth rate of 0%; Moontower has +49.5%.

### 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. Moontower: Freemium. Moontower uses a freemium model with a free sign-up tier and paid plans for individuals and firms; enterprise features such as audit logs and the funding suite are available. The hosted MCP server is included on every plan at 2 credits per call. Exact prices are best confirmed on the site or via a demo.

## 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 | [Danelfin](https://openaitools.app/tool/danelfin-com) | 216,830 | -11.1% | Freemium | AI-driven stock scores that rank every pickable stock by probability of beating the market | [.md](https://openaitools.app/tool/danelfin-com.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 | [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) |
| 8 | [Surf](https://openaitools.app/tool/surf) | 116,252 | -18.9% | Free, Pro, Max, API credits | Institution-grade crypto and equities intelligence, delivered through a chat-style AI analyst. | [.md](https://openaitools.app/tool/surf.md) |
| 9 | [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) |
| 10 | [PortfolioPilot Insights](https://openaitools.app/tool/portfoliopilot-insights) | 88,922 | -41% | Freemium, Free Trial | AI financial advisor that puts sophisticated portfolio tools in your own hands | [.md](https://openaitools.app/tool/portfoliopilot-insights.md) |

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

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