NewsCatcher provides a news API that aggregates and filters articles from over 90,000 global sources, delivering clean and enriched news data tailored to specific business workflows. This technology reduces the time spent on manual news curation by over 100 hours weekly, enabling organizations to make informed decisions based on relevant and timely information.
Funding
$500K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
TFounders
Product
Problem
Organizations spend significant time and resources manually curating news from numerous sources to stay informed about market trends, competitors, and potential risks. This process is often inefficient, leading to delays in decision-making and missed opportunities. The sheer volume of online news makes it difficult to filter out irrelevant information and identify the most critical insights.
Solution
NewsCatcher provides a News API that aggregates, filters, and enriches news articles from over 90,000 global sources, delivering structured and relevant news data tailored to specific business needs. The API enables users to search for articles based on keywords, proximity, rank, and other criteria, providing precise control over search results. Advanced clustering capabilities group similar articles, eliminating redundancy and allowing analysts to focus on diverse insights. By automating news curation, NewsCatcher reduces manual effort, enabling organizations to make informed decisions based on timely and accurate information.
Target Audience
NewsCatcher's primary customers are businesses, researchers, and analysts who require real-time, filtered news data for risk analysis, media monitoring, sales intelligence, market research, and AI/LLM applications.
Features
- Access to over 90,000 global news sources, providing comprehensive coverage.
- Advanced filtering options, including proximity search, rank filtering, and headline targeting.
- Article clustering to group similar articles and eliminate redundancy.
- Industry-standard tagging for enhanced context and navigation.
- Entity disambiguation to accurately identify companies and individuals mentioned in articles.
- Historical data access dating back to January 2019, with some sources going back to 2017.
- Low latency access to published articles, with most content available within 10 minutes.
- Custom solutions for tailored data integrations and specific enterprise requirements.