Multi-Source News Sentiment Timeline is a paid API for AI agents from x402.professorsausages.com, paid per call via x402, $0.005/call, status unknown (last checked 2026-09-13).
Returns volume of matching news headlines bucketed by hour or day, plus average GDELT sentiment score per bucket, forming a local sentiment timeline
A time series array of buckets (hour or day granularity), each containing the count of matching headlines and the average GDELT sentiment score for that bucket, enabling trend and intensity analysis of news coverage for a given topic.
POSThttps://x402.professorsausages.com/news/timelineUse this endpoint when you need a temporal view of news coverage — combining both volume (how many headlines) and sentiment (how positive or negative) in time buckets. Prefer it over simple headline search when the goal is trend analysis, media intensity tracking, or sentiment shift detection over time rather than retrieving individual articles.
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