CatchAll Integrations

NewsCatcher solves the challenge of inconsistent, irrelevant news data with a streamlined approach. We deliver clean, normalized, near-real-time news from 150,000+ global sources in 50+ languages, including hyper-local coverage. We enrich every article with sentiment scores, named entities, summaries, classification, deduplication, and clustering, maximizing utility while cutting post-processing time and costs. Our BeyondNews and Local News APIs go further, surfacing government data, policy changes, and official announcements before they hit the news, plus thousands of hyperlocal outlets worldwide. NewsCatcher helps enterprises build custom pipelines with LLM fine-tuning, delivering a clean, relevant feed with a low false-positive rate for confident decision-making. Structured JSON output plugs directly into AI agents, RAG pipelines, and vector databases, powering risk intelligence, compliance, and market monitoring for finance and government teams.