Analyzes sentiment in news headlines from major US publications using both standard and natural language date inputs, enabling insights into public sentiment trends.
Parses the HTML content from news.ycombinator.com (Hacker News) and provides structured data for different types of stories (top, new, ask, show, jobs).
Enables interaction with Paperless-NGX API servers, supporting document management, tagging, and metadata operations through a natural language interface.