The agent identifies high-impact news stories affecting specific stocks, providing headlines, scores, and context to help users make informed decisions quickly.
The agent uses the alphai_radar or alphai_actionable_now tools to scan for news related to specific tickers or the broader market. It filters results by actionability or relevance, checks the freshness of the data via the as_of field, and retrieves supporting articles using alphai_article. The agent verifies that the news scores reflect activity rather than price forecasts before presenting the findings.
- Category: Data and analysis
- Effect: Read-only
- MCP servers: AlphAI MCP (https://koskamo.com/explore/alphai-mcp)
- Source: Financial News MCP Server for AI Agents & Trading Bots | AlphAI (https://alphai.io/mcp)
- Source quote: "alphai_actionable_now Returns high-actionability news from the last few hours."
- Playbook page: https://koskamo.com/explore/use-cases/triage-breaking-financial-news-for-specific-tickers
Prompt: Find the top 5 most actionable news stories for AAPL and MSFT in the last 4 hours. For each story, provide the headline, the AlphAI score, and a link to the full article if available.