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AskNews

AskNews provides human-editorial news content enhanced by AI-powered insights. It aims to minimize bias and offer a transparent view of current events. Developers can integrate premium licensed news data via API, while analysts access insights through a dashboard, and publishers can monetize content.

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Description

AskNews is revolutionizing news consumption for both humans and AI models by combining high-quality human editorial with AI-driven insights. This approach is designed to reduce bias and foster a more transparent understanding of current events. The platform offers a variety of tools and services to cater to different user needs.

For developers, AskNews provides powerful SDKs and a robust API, enabling seamless integration of enriched news data into applications. This allows for the creation of smarter tools that leverage structured data, sentiment analysis, source diversity, and geo-contextualized insights. The API is optimized for speed, with response times under 100ms for prompt-optimized calls.

Analysts can utilize the AskNews Analyst Dashboard, named Newsplunker, to access high-level analytics and business intelligence derived from thousands of licensed sources across numerous languages. This tool helps in distilling complex information and uncovering diverse perspectives on global events. Publishers can benefit from AskNews Publisher, a service that monetizes content by distributing a synthetic representation to a global audience, generating revenue each time it appears.

Readers can explore enriched and contextualized news content through Curated Stories and an AI-powered Chat feature. This conversational AI assistant can summarize stories, generate custom insights, and help identify inconsistencies, providing a deeper understanding of news topics. AskNews is committed to transparency and equitable AI, publishing state-of-the-art AI models and datasets on Hugging Face and contributing to open-source software.

The platform empowers projects with data access, offering structured data and powerful APIs for integrating global news insights. It enables users to understand global perspectives by examining how different sources report on events, identify trends, and track developing stories with precision using tools like RedditPerspective™ and StoryGraphs™. Visualization tools allow for exploring interactions between people, organizations, and countries, making it valuable for developers, analysts, and readers.

AskNews also provides AI-powered insights through its news-augmented AI assistant, which can summarize stories, generate custom insights, or write newsletters. This makes it a versatile tool for anyone seeking clarity and actionable information from the vast flow of global news. The platform's commitment to quality and speed makes it a valuable asset for LLM applications requiring grounded, up-to-date news context.

AskNews's Core Features

  • Integrate premium licensed news data with a single line of code

  • Harness the power of highly enriched news analytics

  • Monetize content without giving it away

  • Monitor global transparent news

  • Build on thousands of licensed sources

  • Access news data via a powerful API

  • Gain high-level analytics and business insights

  • Explore enriched and contextualized content

  • Get the full picture of current and developing news

  • Understand global perspectives and diverse narratives

  • Track developing stories, detect trends, and analyze sentiment

  • Visualize and explore real-time mapping of stories

  • Utilize a news-augmented AI assistant for summarization and insights

  • Infuse LLMs with synthetic news context for grounded applications

  • Achieve less than 100ms response times for prompt-optimized calls

How to use AskNews?

  1. Developer: Integrate AskNews into your applications using SDKs and the API.

  2. Analyst: Access high-level analytics and business insights via the Newsplunker dashboard.

  3. Publisher: Monetize content by distributing synthetic representations through AskNews Publisher.

  4. Reader: Explore enriched news content through Curated Stories and the AI Chat.

  5. LLM Developer: Integrate synthetic news context into LLM applications for grounded output.

  6. Agentic AI User: Integrate AskNews into agentic workflows using LangChain Tool and Retriever.

AskNews's Use Cases

  • Geopolitical Risk Analysis
  • OSINT Research
  • Forecasting Accuracy
  • Sports Analytics
  • LLM Grounding
  • Misinformation Detection
  • Content Monetization
  • News Summarization
  • Agentic AI Workflows

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