AlphAI

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Introduction:
Pre-analyzed financial news over REST and MCP. Every story carries per-ticker impact, a category and a 1 to 10 relevance score, plus structured SEC filing data for insider trades and corporate events.
Added on:
Sep 02 2026
Monthly Visitors:
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Social & Email:
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Website
Freemium
Contact for Pricing
AI For Finance
AlphAI Product Information

What is AlphAI?

AlphAI turns the financial news firehose into machine-readable signal. It collects from GDELT, publisher RSS and SEC EDGAR, then scores and tags every article at ingest: per-ticker impact analysis, a category, and a relevance score from 1 to 10. Your client filters on those fields instead of running its own NLP. SEC filings arrive as structured events, not documents. A Form 4 insider filing becomes a scored event with the transaction values already parsed, about 6 minutes after it hits EDGAR. 8-K corporate events and 6-K earnings releases from foreign issuers come through the same pipe. Two surfaces, same data: a REST API with a public OpenAPI 3.1 spec, and an MCP server with OAuth 2.1 that Claude Desktop, Cursor or your own agent connects to without glue code. Stories can also reach you as email alerts or, on Pro, HMAC-signed webhooks. The free tier is built for real evaluation rather than a teaser. You get 20 requests a minute and 100 a day on both surfaces, and it doesn't ask for a card.

How to use AlphAI?

1. Register at alphai.io and create an API key in your account. No card is needed. 2. Call the REST API with the key as a bearer token, for example GET /api/news/?symbol=NVDA&min_relevance=7. 3. Or point your agent at the MCP server on mcp.alphai.io. Claude Desktop, Cursor and anything else that speaks MCP will pick up the tools after the OAuth handshake. 4. Filter on relevance_score, category and tickers so your bot only sees what its strategy cares about. 5. If you want to be told rather than to poll, subscribe a ticker to alerts and take them by email or webhook.

AlphAI's Core Features

Relevance score from 1 to 10 and per-ticker impact analysis on every article

SEC Form 4 insider trades as structured events, about 6 minutes after the filing lands

SEC 8-K corporate events and 6-K earnings releases, categorized by filing item

MCP server with OAuth 2.1 for Claude Desktop, Cursor and custom agents

Ticker alerts by email, or HMAC-signed webhooks on Pro

Public OpenAPI 3.1 spec you can read without a key

AlphAI's Use Cases

#1

Feed a trading bot only the stories above a relevance threshold for its watchlist

#2

Give an AI agent live market context without building and maintaining a scraper

#3

Track insider buying and selling for a ticker straight from SEC Form 4

#4

Watch a portfolio for earnings and corporate events as the filings land

FAQ from AlphAI

Do I need a credit card to try it?

What does the relevance score mean?

Can I use it from Claude Desktop or Cursor?

  • AlphAI Support Email & Customer service contact & Refund contact etc.

    More Contact, visit the contact us page()

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    More about AlphAI, Please visit the about us page().

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  • AlphAI Pricing

    AlphAI Pricing Link: https://alphai.io/pricing

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AlphAI Pricing

Free

$0

20 requests per minute and 100 per day on both REST and MCP, 30 day archive, no card required

Basic

$2.99/mo

60 requests per minute and 10,000 per day, 90 day archive

Pro

$9.99/mo

150 requests per minute and 100,000 per day, 180 day archive, page size up to 50, signed webhooks

For the latest pricing, please visit this link: https://alphai.io/pricing

Analytic of AlphAI

AlphAI Website Traffic Analysis

Visit Over Time

Monthly Visits
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Avg.Visit Duration
00:01:39
Page per Visit
6.00
Bounce Rate
0.00%
May 2026 - Sep 2026 All Traffic

Traffic Sources

Direct
38.95%
SearchOrganic
30.10%
Referrals
10.33%
SocialOrganic
5.39%
DisplayAds
4.39%
Mail
3.71%
Affiliate
2.97%
GenAi
1.71%
SearchPaid
1.65%
SocialPaid
0.80%
May 2026 - Sep 2026 Worldwide Desktop Only

Top Keywords

Keyword
Traffic
Cost Per Click
tesla robotaxi las vegas
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alphai.io
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Social Listening

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AlphAI: Pre-analyzed financial news over REST and MCP. Every story carries per-ticker impact, a category and a 1 to 10 relevance score, plus structured SEC filing data for insider trades and corporate events.
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