alphai

What is alphai?

alphai is an AI-powered financial news platform built for developers, traders, and AI agents. Instead of drowning in the financial news firehose, alphai scans over 10,000 articles daily from more than 6,900 sources, filters out the noise, and delivers only the market-moving stories—each one scored for relevance (1–10), tagged with tickers, and categorized for easy consumption.

Founded and built by Mikhail Makeev, alphai is a one-person engineering operation based in Bulgaria (operated by ARDOR 0608 OOD). The platform doesn't do original reporting—every article links back to its third-party source. Instead, alphai adds a structured layer of analysis: a relevance score, a category, the tickers involved, and a short read on likely market impact. The analysis is AI-generated, clearly labeled, and not individually reviewed by a human editor. It's information for research, not investment advice.

• Headquarters: Priselci village, Bulgaria (operated by ARDOR 0608 OOD)
• Core Focus: AI-Enriched Financial News, REST API for Trading Bots, MCP Server for AI Agents

Use Cases:

• Plugging real-time, relevance-scored financial news into AI agents (Claude, ChatGPT, Gemini, Cursor) via the MCP server
• Building automated trading bots that react to market-moving news and SEC filings (Form 4 insider trades, 8-K corporate actions, 6-K foreign earnings)
• Setting up ticker-based news alerts delivered to Telegram, email, or webhooks the moment a story clears your filters
• Accessing structured financial news via REST API for backtesting, research, or in-product redistribution
• Analyzing insider trading patterns using SEC Form 4 data with a median latency of ~6 minutes from EDGAR publication

Technology:

• REST API with OpenAPI 3.1 spec—returns relevance-scored, ticker-linked news as plain JSON
• MCP (Model Context Protocol) server—hosted at mcp.alphai.io, connects via OAuth 2.1 with a free tier of 100 calls/hour
• Typed SDKs for Python (sync and async) and TypeScript (zero runtime dependencies)
• 6,900+ publisher domains monitored; less than 1 in 5 makes the feed—only the best clear the relevance floor
• LangChain integration available via langchain-alphai

Target Users:

• Developers building AI agents, trading bots, and automated trading systems
• Quantitative researchers and algorithmic traders
• Retail investors who want AI-powered news analysis without the noise
• Fintech companies integrating financial news into their products
• Hedge funds and proprietary trading firms needing structured, machine-readable market intelligence

Acquisition: Freemium model with a free tier, paid subscriptions (Basic, Pro), and custom Enterprise plans

Key features of alphai

alphai's core features include

• AI-Enriched News Feed: 10,000+ articles scanned daily from 6,900+ sources, each with a 1–10 relevance score, ticker links, and category tags
• SEC Filing Coverage: Insider trades (Form 4), corporate actions (8-K), and foreign earnings (6-K) delivered ~6 minutes from EDGAR publication
• REST API: Public OpenAPI 3.1 spec with typed SDKs for Python and TypeScript—filter by ticker, category, and minimum relevance
• MCP Server: Model Context Protocol server for AI agents—connect Claude, ChatGPT, Gemini, Cursor, or any MCP-speaking client in about a minute
• Real-Time Alerts: Ticker-based news alerts delivered to Telegram, email, or HMAC-signed webhooks the moment a story clears your filters
• Ad-Free Experience: Paid tiers remove sponsored placements for a clean, distraction-free feed
• Commercial Licensing: Pro plan allows in-product redistribution; Enterprise covers data syndication and self-hosted deployments

alphai Pricing

alphai operates on a freemium model with three main tiers, plus custom Enterprise pricing. All plans include unlimited news on the website.

Free — $0 Forever:

• Unlimited news on the website with sponsored placements
• Up to 10 tickers on watchlist
• REST API: 20/min · 100/day · 30-day archive
• MCP server: 20/min · 100/day
• Personal, non-commercial use only

Basic — $2.99/month (early access, regularly $7.99):

• Unlimited news, ad-free, unlimited watchlist tickers
• 10 ticker news alerts (daily digest)
• REST API: 60/min · 10,000/day · 90-day archive
• MCP server: 60/min · 10,000/day
• Commercial use — internal

Pro — $9.99/month (early access, regularly $24.99):

• Everything in Basic
• REST API: 150/min · 100,000/day · 180-day archive, 5 API keys
• MCP server: 150/min · 100,000/day, bulk 50-row pages
• 50 ticker news alerts — instant, per-article
• Real-time webhook delivery (HMAC-signed)
• Commercial use incl. in-product redistribution

Enterprise:

• Custom volume on REST + MCP, full-archive exports, data-syndication licensing, self-hosted deployments, invoicing, security review

Disclaimer: Early access pricing locks in the rate for as long as you stay subscribed—alphai will not raise it for you. For up-to-date pricing and enterprise quotes, visit alphai.io/pricing.

Who is using alphai?

alphai is used by developers, traders, and fintech companies, including

• AI Agent Developers: Integrating alphai's MCP server into Claude, ChatGPT, Gemini, Cursor, and VS Code for real-time financial news
• Quantitative Traders: Using the REST API and Python SDK for backtesting and algorithmic trading strategies
• Fintech Startups: Leveraging alphai's commercial license for in-product redistribution of financial news
• Retail Investors: Monitoring watchlists and receiving instant alerts on tickers they care about
• Hedge Funds & Proprietary Trading Firms: Using Enterprise plans for high-volume data access and self-hosted deployments

Best alphai Alternatives

Some of the strongest alphai alternatives include

• Benzinga Pro — Real-time news and data for traders
• Polygon.io — Stock market data APIs with news coverage
• Finnhub — Financial data APIs with news sentiment
• Alpha Vantage — Free stock APIs with news sentiment
• Marketaux — Financial news API with multilingual support
• Intrinio — Financial data platform with news feeds

Pros and Cons of alphai

Pros

• Clean, structured financial news feed with relevance scoring—no more sifting through noise
• MCP server makes it trivially easy to plug into AI agents like Claude and ChatGPT
• Affordable pricing with a generous free tier and early access lifetime price lock
• SEC filing coverage with ~6-minute latency—insider trades and corporate actions delivered fast
• Typed SDKs for Python and TypeScript make integration smooth for developers
• Transparent about AI-generated content—no fake news or original reporting, just structured analysis

Cons

• No original reporting—relies entirely on third-party sources
• AI-generated analysis isn't reviewed by a human editor—errors can slip through
• Not investment advice—platform explicitly states it's for research only
• One-person operation—scalability and support may be limited compared to larger competitors
• Free tier has low rate limits (20/min, 100/day)

Why Choose alphai?

If you're building an AI agent, a trading bot, or just want to stay on top of market-moving news without the noise, alphai delivers. It's built by an engineer for engineers—straightforward, affordable, and designed to be plugged into your existing workflow in minutes.

• No complex onboarding—get an API key for free without a credit card
• MCP server means your AI agent can query financial news natively—no custom integrations required
• Early access pricing locks in your rate forever—subscribe now and it won't go up
• Built for developers—typed SDKs, OpenAPI spec, and clear documentation

alphai vs. Competitors

The main difference between alphai, Benzinga Pro, Polygon.io, and Finnhub lies in focus and delivery. While Benzinga Pro is a trader-facing news terminal with human-curated content, and Polygon.io and Finnhub are broad financial data platforms, alphai is specifically built for AI agents and developers who need structured, machine-readable financial news with minimal friction. The MCP server is a standout feature—no other major competitor offers native MCP integration for AI agents.

How do we rate alphai?

alphai Review

alphai is a breath of fresh air in the crowded financial data space. It doesn't try to be everything to everyone—it does one thing well: deliver structured, relevance-scored financial news to developers and AI agents. The MCP server is genuinely innovative, making it trivial to plug real-time financial news into any MCP-speaking AI client. The pricing is refreshingly transparent, and the early access lifetime price lock is a nice touch. It's not a full-featured trading platform, and it's not investment advice, but as a developer tool for financial news, it's hard to beat.

Conclusion

alphai delivers exactly what it promises: AI-enriched financial news, structured for machines. Whether you're building a trading bot, an AI agent, or just want to cut through the noise, alphai's REST API and MCP server make it easy to integrate market-moving news into your workflow. With a generous free tier, affordable paid plans, and a founder who actually writes the code, alphai is a solid choice for developers who need clean, structured financial intelligence.