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Vextorium Wikipedia Trending Articles
x402
Vextorium Wikipedia Trending Articles is a paid API for AI agents from api.vextorium.com, paid per call via x402, $0.002/call, status unknown (last checked 2026-10-16).
Returns the most-read Wikipedia articles in a given language for a specific day, ranked by view count, with technical/maintenance pages filtered out.
Price / call$0.002
Success—
StatusUnknown
How this service works
Most read Wikipedia articles in a language on a given day (yesterday by default): what people are looking up, with views and rank, technical pages removed. A signal of current events and trends.
Output
Returns a JSON object containing the target date, language, and source, plus an array of article objects each with: article title, rank (position in the top list), view count, and a direct link to the Wikipedia article. Technical and maintenance pages are pre-filtered out, leaving only substantive content articles.
Example use cases
Daily current events pulse check
“Give me the top 15 most-read Wikipedia articles in English for yesterday — I want to see what major events or topics are driving traffic right now.”
Spanish-language trend monitoring
“What were the most popular Wikipedia articles in Spanish on 2025-01-15? Show me the top 25 with their view counts so I can see what was trending in the Spanish-speaking world that day.”
News signal for content strategy
“Pull the top 30 trending Wikipedia articles in French for yesterday — I'm trying to understand what topics people in France are most curious about so I can plan our editorial calendar.”
Technical details
Endpoint
POSThttps://api.vextorium.com/wikipedia-tendencias-pago?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need a curated, human-interest signal of what topics are currently capturing public attention globally or in a specific language community. It is ideal over raw Wikimedia API calls because it pre-filters technical/maintenance pages, ranks results, and wraps everything in a clean JSON response. Prefer this when building trend-monitoring agents, news digest systems, content recommendation engines, or any workflow that needs a quick pulse on collective curiosity without parsing raw Wikimedia data.
Side effects
- Invalid date format (non-YYYY-MM-DD) may return an error or empty result
- Unsupported language code may return no articles or an error
- Requesting a future date will likely return no data as pageview stats aren't available yet
- Very recent dates (same day) may have incomplete data if stats haven't been published
- Network or upstream Wikimedia API downtime could cause failures
- Extremely high limit values may be capped or slow the response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| dia | string | YYYY-MM-DD |
| idioma | string | |
| limite | integer |
Tags
x402
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