The PredictLeads News Events Dataset captures structured signals from business-related news, helping you identify meaningful company activity across millions of organizations worldwide. We source content from over 29 carefully selected news, blog, and press release platforms, using advanced machine learning models to classify and structure each event into a standardized format. This allows platforms and teams to act on real-world business developments with speed and precision. What’s Inside Each News Event entry contains key metadata such as: - Formatted Signal (e.g., Company X launches a new product) Signal Category (from a set of 29 distinct categories) - Detected Company Information (domain, name, ticker) - News Article Details (title, URL, publication date, relevant sentence) - Event Metadata (effective date, location, funding type, job title, product name, etc.) - Structured Fields for: financing, hiring, recognition, expansion, leadership changes, and more These fields are available via API or flat file export, depending on your integration needs. Supported Categories The dataset supports 29 well-defined event types, grouped into business-friendly categories such as: Acquisition & Investment Leadership & Hiring Product & Innovation Growth & Expansion Recognition & Challenges Delivery & Access REST API access with robust filtering JSONL / CSV bulk delivery Optional webhook integration for real-time workflows https://docs.predictleads.com/v3/guide/news_events_dataset

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