Last updated 07-26-2026
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Stocknews AI
Stocknews AI offers AI-analyzed stock news signals sourced from over 100 reputable financial outlets. It transforms raw market news into structured, actionable insights by summarizing articles, scoring sentiment, and tagging relevant stock symbols. This helps investors and AI agents quickly grasp what changed, why it matters, and potential stock impacts.
The platform targets both individual investors and developers building AI trading bots or research assistants. It provides real-time and delayed news feeds, plus APIs and MCP server access for seamless integration into custom workflows. Users can filter news by event types like earnings, M&A, or regulatory updates.
Stocknews AI's value lies in delivering clean, deduplicated, and scored news signals that save users from manually scanning multiple sources or spending tokens on basic sentiment analysis. It includes original source links and price-at-signal data for verification and backtesting.
Key differentiators include its AI-driven summarization and reasoning, event filtering, and multi-channel access via REST API, MCP server, and a News Agent interface. The platform supports advanced research with features like watchlists, alerts, and chat-based querying.
Technically, Stocknews AI uses a combination of natural language processing to analyze full article content, assign sentiment and importance scores, and link news to relevant tickers. It offers a developer console and detailed API documentation to facilitate integration.
Overall, Stocknews AI streamlines market news consumption and empowers both human investors and AI systems to make better-informed decisions faster. It is especially useful for those needing structured, verified, and context-rich financial news signals rather than raw headlines.
📰 AI Summarized News: Converts raw articles into concise summaries saving reading time.
📊 Sentiment & Impact Scores: Rates news sentiment and importance to prioritize key market events.
🔗 Source Traceability: Includes original URLs for verifying news authenticity.
⚙️ Flexible API & MCP Access: Integrate real-time or delayed signals into custom AI agents and apps.
🎯 Event Filtering: Focus on specific catalysts like earnings, M&A, or regulatory updates for targeted research.
Delivers clean, AI-analyzed news signals saving research time.
Includes sentiment and importance scores for prioritization.
Provides original source links for transparency and verification.
Offers flexible API and MCP access for developers and AI agents.
Supports event filtering for targeted market insights.
Free tier has delayed data and limited API calls.
Enterprise pricing and features require contacting sales.
Some advanced features may require higher-tier plans.
Who can benefit from Stocknews AI?
Individual investors, research teams, and AI developers building trading bots or dashboards can use Stocknews AI for structured market news.
How does Stocknews AI improve news consumption?
It summarizes, scores sentiment, and links news to stocks, saving time and reducing noise compared to raw news feeds.
Can I access Stocknews AI data via API?
Yes, it offers REST API and MCP server access for real-time or delayed news signals integration.
Does Stocknews AI provide original news sources?
Yes, every signal includes source URLs so users can verify the underlying articles.
Is there a free tier available?
Yes, the free plan offers delayed signals and limited API usage for testing and learning.
Can I filter news by event types?
Yes, you can filter for earnings, M&A, share buybacks, lawsuits, and other event categories.
How does Stocknews AI help AI agents?
It provides pre-analyzed, structured news signals so agents spend fewer tokens on basic summarization and sentiment analysis.