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Wikipedia Attention Spikes
x402
Wikipedia Attention Spikes is a paid API for AI agents from www.x402pulse.dev, paid per call via x402, $0.035/call, status unknown (last checked 2026-10-09).
Returns Wikipedia articles whose pageviews surged far above their recent baseline yesterday, signaling early breaking public interest in people, companies, events, or ideas.
Price / call$0.035
Success—
StatusUnknown
How this service works
Attention spikes: Wikipedia articles whose views surged far above their usual level yesterday (ratio to the previous week's median), the earliest sign of breaking public interest in a person, company, event or idea. Any language. Likely automated traffic filtered. Based on Wikimedia pageview data (CC0).
Output
A ranked list of Wikipedia articles whose pageview counts yesterday were significantly higher than their prior week's median, including the article title, language, the surge ratio (yesterday vs. median), raw view count, and likely topic category. Automated/bot traffic is filtered out. Results are ordered by spike magnitude.
Example use cases
Early breaking news detection
“What topics are suddenly exploding in Wikipedia views today compared to last week? Give me the top 20 spikes in English with at least a 3x ratio jump — I want to catch breaking stories before they hit mainstream headlines.”
Emerging market intelligence for investors
“Pull the top Wikipedia attention spikes from yesterday — any language, limit to 15 results — and tell me which companies or people are suddenly getting way more traffic than usual. I'm looking for early signals of market-moving events.”
Viral topic monitoring for content teams
“Which Wikipedia articles had the biggest view surges yesterday in Spanish? Show me up to 25 results with a minimum ratio of 4x so I can see what's trending in Spanish-speaking markets right now.”
Technical details
Endpoint
GEThttps://www.x402pulse.dev/v1/attention/spikes?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need the earliest possible signal of breaking public interest — before mainstream media coverage consolidates. It is uniquely suited for detecting emerging narratives around people, companies, or events, for journalists, investors, and content strategists who want to act on attention trends before they become obvious. Prefer it over social media trend APIs when you want a cleaner, bot-filtered signal grounded in deliberate information-seeking behavior rather than reactive social sharing.
Side effects
- Invalid lang code returns empty results or error
- minRatio below 2 or above 100 is rejected
- limit outside 1-50 range returns validation error
- Data may lag by up to 24 hours due to Wikimedia pipeline delays
- Very new articles with no baseline history may be excluded
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"data": {
"date": "2026-10-05",
"items": [
{
"ratio": 81.3,
"title": "Christa Pike",
"views": 333405,
"baseline": 4100,
"newToTopList": true,
"ratioIsAtLeast": true
}
],
"project": "en.wikipedia"
},
"cached": false
}
}Tags
x402
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