CatchAll Integrations

NewsCatcher addresses the frustrations of inconsistent news data and poor integration. We provide clean, normalized, near-real-time articles from 150,000+ global sources in 50+ languages, including hyper-local coverage. Covering over 98% of each website, we extract all essential data points, ensuring you get the critical information you need. We enrich this data by adding sentiment scores, detecting named entities, summarizing, classifying, deduplicating, and clustering similar articles into events. This maximizes the value of news content while reducing post-processing time and costs. Beyond traditional news, our BeyondNews and Local News APIs extend coverage further, surfacing government data, policy changes, and official announcements before they become news, plus thousands of hyperlocal outlets, university newspapers, and local government portals across multiple countries. NewsCatcher helps enterprises seamlessly integrate news insights into workflows by building custom pipelines with LLM fine-tuning, resulting in a clean, relevant feed with a low false-positive rate. Customers gain full transparency into our data collection and the models we use. We offer monitoring services to ensure customers understand our system's operation and responsiveness to new data sources, including detailed explanations of the models and embeddings applied.