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AlphaAI

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• Updated Sep 2, 2026, 09:12 AM

AlphaAI is a hosted financial news API that delivers pre-scored, ticker-linked news stories over REST and MCP.

Use Cases ▼
01

Build a real-time trading bot that reacts to high-impact news.

02

Provide an AI agent with financial headlines and SEC insider trade data.

03

Create a stock screener using relevance-scored news filtering.

04

Track insider trading activity through Form 4 data.

05

Monitor economic calendar events and macro news.

06

Generate alerts for movers based on impactful stories.

07

Analyze sentiment for a portfolio of tickers.

What Problem It Solves ▼

AlphaAI solves the problem of noisy financial news streams by delivering only stories that are relevant to specific tickers, with pre-computed relevance scores, sentiment, and SEC filing context. This reduces the burden on trading bots and AI agents to sift through raw headlines, and minimizes token costs when ingesting news into LLMs.

Key Features ▼
✓

Pre-filtered, relevance-scored news cuts through noise.

✓

Includes SEC filing data for insider and corporate events.

✓

Available as both REST API and MCP server for agents.

✓

Free tier available without credit card.

✓

Simple Bearer auth and typed SDKs.

Overview

AlphaAI is a hosted financial news API that delivers pre-scored, ticker-linked news stories over REST and MCP. It is designed for developers building trading bots, AI agents, and financial dashboards. Each article in its feed comes with a relevance score from 1 to 10, the affected tickers, per-ticker sentiment and reasoning, an impact category, and timestamps. The API also exposes structured SEC filing data, including insider trades (Form 4) and corporate events.

Full Description ▼

The feed is constructed through a four-step pipeline: collection from global sources (GDELT, SEC EDGAR, curated publisher RSS), enrichment with LLM-based relevance scoring and sentiment classification, validation against active symbol lists with deduplication, and serving only articles that meet a relevance threshold. This pre-filtering reduces noise, allowing clients to save tokens and processing time when using the data with language models.

Developers can filter by ticker symbol, category, minimum relevance, and time using simple query parameters. Responses are cursor-paginated JSON with full OpenAPI 3.1 documentation and a Swagger UI. Optional TypeScript and Python SDKs are available, and an MCP server exposes the same feed as tools for use in agentic systems. A free tier requires no credit card and offers 20 requests per minute and 100 requests per day.

Pros & Cons

Pros

+

Pre-filtered, relevance-scored news cuts through noise.

+

Includes SEC filing data for insider and corporate events.

+

Available as both REST API and MCP server for agents.

+

Free tier available without credit card.

+

Simple Bearer auth and typed SDKs.

Cons

−

Free tier is limited (20 req/min and 100 req/day).

−

Higher volume requires a paid plan.

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