CatchAll Description

CatchAll is an innovative web search API that prioritizes recall, aiming to uncover every real-world event rather than just the most prominent results. It meticulously scours over 2 billion web pages, which encompass a variety of sources such as press releases, corporate announcements, trade publications, industry-specific blogs, and local news, to provide comprehensive answer sets for critical research inquiries.

Each search yields tens of thousands of potential pages, which are assessed for relevance and trustworthiness using AI, deduplicated via graph-based clustering, and organized into well-structured datasets containing entities, amounts, dates, and citations. In comparative assessments, CatchAll demonstrated a remarkable ability to uncover 64.5% more true positives than its closest competitor, significantly surpassing conventional AI research tools in terms of thoroughness.

Teams rely on CatchAll to:

- Monitor supply chains for factory closures, recalls, and supplier disruptions
- Track portfolio companies and surface investment opportunities as they emerge
- Capture every M&A deal, funding round, and corporate expansion in a sector
- Follow regulatory actions, enforcement decisions, and compliance risks
- Map commercial real estate activity, permits, and facility openings
- Feed high-recall, structured context into AI agents and RAG pipelines

Furthermore, its continuous monitoring capability, available on a daily, weekly, or real-time basis, transforms sporadic searches into sustained intelligence streams, making it particularly effective for enumeration tasks where the emphasis is on recall rather than ranking. This unique approach ensures that users have access to a wealth of information that is both timely and relevant.

Pricing

Pricing Starts At:
$50/month
Free Trial:
Yes

Integrations

API:
Yes, CatchAll has an API

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Company Details

Company:
NewsCatcher
Headquarters:
United States
Website:
newscatcherapi.com
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Media

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Product Details

Platforms
Web-Based
Types of Training
Training Docs
In Person
Customer Support
Live Rep (24/7)

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