article-brief

Overview

Analyzes a news article from its URL into a summary, named entities, and sentiment in one call. Returns scraped text stats, a bullet summary, entities (people, organizations, locations, dates), and overall sentiment with score: the standard agent reading pipeline collapsed into a single request. Ideal for news monitoring, research agents, content triage, brand tracking. Composite: one call runs scrape first, then summarize-text + extract-entities + sentiment in parallel over the text. Use it as

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