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Description

The Mozilla Data Collective serves as a platform aimed at transforming the AI-data landscape by prioritizing the needs of communities. It empowers data creators and caretakers to share their datasets according to their preferences while maintaining ownership and control over access and conditions. Users are able to upload datasets, select licenses—whether Creative Commons or custom options—define access guidelines, and stipulate requirements for compensation or acknowledgment, all while managing datasets as individuals, cooperatives, or trusts. This platform places a strong emphasis on ethical management, transparency, and community empowerment, standing in opposition to exploitative data extraction practices and fostering fairer participation. With a collection of over 300 high-quality datasets that are both created by and for communities, the platform spans a variety of applications, including multilingual speech-data collections. Additionally, it provides user-friendly tools, such as a public API, to facilitate the integration of these datasets into various applications, thereby enhancing accessibility and usability for developers. Ultimately, Mozilla Data Collective aims to create a more just and inclusive environment for data sharing and usage.

Description

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.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

CatchAll
Company Watchlist

Integrations

CatchAll
Company Watchlist

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

$10,000 per month
Our pricing varies based on several factors, including the specific product, call volume, speed, service level agreements (SLA), historical data access, and optional add-ons such as translation services, custom pipelines, and dedicated resources. For a tailored quote, please contact our sales team.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Mozilla

Founded

2005

Country

United States

Website

datacollective.mozillafoundation.org

Vendor Details

Company Name

NewsCatcher

Country

United States

Website

newscatcherapi.com

Product Features

Product Features

Alternatives

Alternatives

Conseris Reviews

Conseris

Kuvio Creative