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No trial is needed to start: the Free plan is permanently free, needs no credit card, and includes website access plus limited REST and MCP calls.
Learn moreAlphAI
Relevance-scored stock news and SEC filings for AI agents and trading bots.
Intermediate API
What is AlphAI?
AlphAI turns open web stock news and SEC filings into a scored, ticker-linked feed available through a REST API and an MCP server. It targets developers, trading bots, and AI agents that need structured market headlines with relevance and sentiment signals.
AlphAI is a financial news feed built for machines first. It crawls and deduplicates reporting from roughly 6,900 publisher domains, scans more than 10,000 articles each day, and keeps only the minority that clear a relevance floor (the site reports fewer than 1 in 5 make the feed). Every surviving article is enriched with ticker tags, a category, and a relevance score on a 1 to 10 scale, and SEC filings land in the feed about six minutes after EDGAR publication. The same scored stream powers a browsable website and the developer endpoints. Two access routes are on offer. A REST API accepts per-ticker filters and search, returning paginated results with original article fields and an enrichment block. An MCP server exposes news and watchlist tools to agent hosts such as Claude Desktop and Cursor, using OAuth 2.1 and Streamable HTTP, so a model can answer questions like what moved a ticker today without custom glue code. Python and n8n quick starts cover teams wiring the feed into an existing stack. The audience is developers and quant-minded builders: people constructing trading bots, alerting pipelines, or research agents that need structured market news rather than a reading app. Delivery channels for alerts include Telegram, email, and webhooks, and a daily digest can follow a watchlist ticker once a relevance bar is set. An insider trading tracker adds another signal layer to the feed. AlphAI does not replace a terminal or a full research desk. It competes with general news APIs and broker data feeds on the narrow axis of scored, ticker-linked headlines, and it leans on volume limits rather than deep analytics. Teams that need price history, fundamental models, or portfolio tooling will pair it with something else. The free tier makes it cheap to test the data quality before committing.
How do you use AlphAI?
1Skim the public feed
Open the news page to see how articles are tagged by ticker and scored for relevance and sentiment. This gives a sense of the feed's editorial shape before you touch an API key.
2Create an account and API key
Register from the site to get a free API key. The free tier allows 20 requests per minute and 100 per day on both REST and MCP, and no credit card is required.
3Read the API documentation
The developer page documents the news endpoint, parameters such as symbol, and the response shape with an enrichment block. Copy the curl example and run it against a ticker you follow.
4Connect an agent over MCP
Follow the MCP page to add the server to Claude Desktop, Cursor, or another agent host. It uses OAuth 2.1 and Streamable HTTP and exposes news and watchlist tools.
5Set up delivery alerts
Follow a ticker and configure alerts so relevant articles reach you through Telegram, email, or a webhook. You can also receive a daily digest instead of checking back.6Add a stack quick start
If you are wiring the feed into an existing system, use the Python or n8n quick start pages, which provide copy-paste setup for each environment.
Pros and cons
Pros
- Relevance scoring on a 1 to 10 scale filters noise before it reaches your pipelineAI
- Both REST API and MCP server, so agents and conventional bots are served by one feedAI
- Free tier includes website access plus 20 requests per minute and 100 per day on each interfaceAI
- SEC filing to enriched feed row runs about six minutes median, fast enough for event-driven workAI
- Copy-paste Python and n8n quick starts lower setup costAI
Cons
- Pricing tiers meter API and MCP calls, and the Pro plan still caps at 100,000 per dayAI
- Free tier shows sponsored placements, so the website feed is not entirely editorialAI
- Sentiment and relevance scores are generated; no accuracy benchmark is published on the homepageAI
- News coverage is rebuilt from open web crawling, so it depends on publisher access and could miss paywalled or gated reportingAI
- No price history or fundamental data, which limits it as a standalone research sourceAI
How much does AlphAI cost?
Pricing
Three tiers. Free costs $0 with unlimited articles on the website, REST and MCP at 20 per minute and 100 per day each with one key, and sponsored placements visible. Basic is listed at $2.99 per month (early access, from $7.99) and Pro at $9.99 (from $24.99), with higher rate limits and more API keys. Subscribers keep their rate while subscribed.
Learn moreIntegrations
MCP works with Claude Desktop, Cursor, and other agent hosts. REST connects to any stack, with copy-paste quick starts for Python and n8n and delivery through Telegram, email, and webhooks.
Learn moreFeatures
A crawled and deduplicated financial news feed of 10,000+ articles scanned daily from about 6,900 sources, enriched with ticker tags, categories, relevance scores (1 to 10) and sentiment signals. SEC filings arrive roughly six minutes after EDGAR. Access through a REST API with per-ticker filters and pagination, and an MCP server with news and watchlist tools using OAuth 2.1 and Streamable HTTP. Alerts via Telegram, email, or webhook, daily ticker digests, and an insider trading tracker.
Learn moreFrequently asked questions about AlphAI
How much does AlphAI cost?
Three tiers. Free costs $0 with unlimited articles on the website, REST and MCP at 20 per minute and 100 per day each with one key, and sponsored placements visible. Basic is listed at $2.99 per month (early access, from $7.99) and Pro at $9.99 (from $24.99), with higher rate limits and more API keys. Subscribers keep their rate while subscribed.Does AlphAI offer a free trial?
No trial is needed to start: the Free plan is permanently free, needs no credit card, and includes website access plus limited REST and MCP calls.Does AlphAI have an API?
Yes, AlphAI offers an API.How do you use AlphAI?
The walkthrough on this page covers 6 steps: 1. Skim the public feed 2. Create an account and API key 3. Read the API documentation 4. Connect an agent over MCP 5. Set up delivery alerts 6. Add a stack quick start.What platforms does AlphAI support?
AlphAI is available on Web App.What does AlphAI integrate with?
MCP works with Claude Desktop, Cursor, and other agent hosts. REST connects to any stack, with copy-paste quick starts for Python and n8n and delivery through Telegram, email, and webhooks.
Status
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Added10/22/2026
Platforms
Web App
Pricing
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