Wikipedia page views for any topic as a normalized time series, growth rates, and the live most-viewed articles feed. One of the cleanest public-attention signals available, as JSON.
# one POST, every source POST https://api.trendsapi.ai/api Authorization: Bearer YOUR_API_KEY { "mode": "get_growth", "source": "wikipedia", "keyword": "artificial intelligence", "percent_growth": ["3M", "12M"] }
{
"search_term": "artificial intelligence",
"data_source": "wikipedia",
"results": [
{
"period": "3M",
"growth": 6.8,
"direction": "increase"
},
{
"period": "12M",
"growth": 44.5,
"direction": "increase"
}
]
}Wikipedia page views are driven by active curiosity rather than algorithmic feeds, which makes them an unusually clean proxy for genuine public attention. When a company, technology or event starts mattering to people, its Wikipedia traffic moves.
The Wikimedia Pageviews API returns raw counts you must normalize and window yourself. Trends API returns a rescaled 0-100 series with growth already computed, in the same response shape as the other 14 sources, so comparing Wikipedia attention against Google search interest takes one line of code.
Rising page views on a company or technology as an attention signal.
Check whether coverage actually moved public attention, not just impressions.
Track when a topic enters public consciousness and how long it stays.
See what the world is looking up right now via the trending feed.
| Wikimedia Pageviews API | Trends API | |
|---|---|---|
| Normalization | raw counts, DIY | 0-100 score, done |
| Growth rates | compute yourself | 3M/6M/12M/5Y built in |
| Trending feed | separate endpoint | included, one call |
| Cross-source compare | no | same scale as 14 other sources |
| Free tier | free, rate limited | 100 requests/month |
Historical trend series for a keyword on this source, normalized 0-100.
Growth percentages over 3M / 6M / 12M / 5Y windows.
21 live trending feeds across platforms, no keyword needed.
Page view volume for any article or topic as a normalized time series, growth percentages over 3M/6M/12M/5Y windows, and the live Wikipedia Trending feed of most-viewed articles today.
The Wikimedia API returns raw counts you must normalize and window yourself. Trends API returns a rescaled 0-100 series with growth already computed, in the same shape as 14 other sources.
It is one of the cleaner ones: page views are driven by active curiosity rather than algorithmic feeds, so spikes usually reflect genuine public attention events.
Updated through the day. Every response includes its own timestamp.
Yes. Query both sources with the same keyword and compare normalized scores directly.
100 requests a month free. No credit card, no sales call. One key works for every source.
Get a free API key