Recall-first web search
Search the open web with a recall-first approach and a reported 86% recall across 2B+ web pages, aimed at finding more of the relevant coverage around a topic or event.
NewsCatcher is a web and news search API platform for AI agents and enterprise teams, with recall-first Web Search API and News API for filtering and streaming coverage.
NewsCatcher is a web and news search API platform for AI agents and enterprise teams. It combines a recall-first Web Search API called CatchAll with a News API for searching and streaming news coverage.
The home page positions the product around turning large volumes of web and news data into structured signals quickly. It scans billions of open web pages and news sources, refines results with NLP and machine learning, and delivers relevant data within minutes of detection for decision-making and downstream workflows.
Search the open web with a recall-first approach and a reported 86% recall across 2B+ web pages, aimed at finding more of the relevant coverage around a topic or event.
Search and stream news from a large source network, with filtering by language, country, entity, and topic for more targeted monitoring.
Scan billions of real-time data points and process over 100M+ data points daily with NLP and machine learning to detect key events and structure them for downstream use.
Deliver relevant structured data within minutes of detection, with a workflow described as scan, refine, and integrate.
Support custom setups for different technical environments, with the home page mentioning delivery into systems such as Slack or Snowflake.
Provide clustering and enrichment around news results, including entity resolution, localized news, and topic-based signals for more focused analysis.
Monitor a topic or query on a schedule when you need recurring updates rather than one-off search results. The pricing page explicitly calls out automated monitoring.
Track a set of companies for new coverage and follow material developments across news sources and the open web.
Filter news by language, country, entity, or topic to support regional intelligence and more targeted research workflows.
Feed structured, near-real-time signals into AI systems or enterprise workflows where fresh coverage needs to arrive quickly after detection.
Use broad web search coverage when you want to reduce missed signals and capture more relevant coverage across the open web.
CatchAll is the web search API, while the News API is the news-focused product for searching and streaming coverage from news sources worldwide.
The source shows plans for both APIs, including a free Individual option and paid Starter, Scale, and Enterprise tiers. Enterprise uses custom credits and a sales conversation.
News API is positioned for filtering and streaming news by language, country, entity, and topic. CatchAll is positioned for recall-first web search across the open web.
The source highlights use for AI agents and enterprise teams, and the products are described as delivering structured data that can be integrated within minutes of detection.
The pricing page references no-code and workflow-specific use cases, but the collected source does not document exact setup steps or output schemas in detail.