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Compare Topic Popularity by Wikipedia Pageviews
x402
Compare Topic Popularity by Wikipedia Pageviews is a paid API for AI agents from attention-trends.shopttyass-85f.workers.dev, paid per call via x402, $0.01/call, status unknown (last checked 2026-11-04).
Compares the popularity of 2-5 topics using Wikipedia pageviews, returning normalized interest-over-time series, share of attention, and trend signals per topic.
Price / call$0.01
Success—
StatusUnknown
How this service works
Compare the popularity of 2-5 topics (brands, competitors, products, people, keywords) by Wikipedia pageviews. Returns one jointly normalized 0-100 interest-over-time series per topic, share of attention, the most popular and the fastest-rising topic, and per-topic trend direction and spikes. A Google-Trends-style popularity comparison based on Wikipedia reading rather than searches. Suited to competitor analysis, brand tracking and content planning.
Output
Returns one jointly normalized 0-100 interest-over-time series per topic, each topic's share of total attention, the most popular topic overall, the fastest-rising topic, and per-topic trend direction (up/down/stable) and spike events detected during the period.
Example use cases
Competitor brand share analysis
“Compare Tesla, Rivian, and Lucid Motors by Wikipedia pageview popularity over the last 90 days — I want to know who's getting the most attention, who's rising fastest, and what their relative share of interest looks like.”
Content topic planning for a media team
“I'm planning articles for next month — can you compare the Wikipedia-based popularity trends for artificial intelligence, quantum computing, and blockchain over the past 60 days so I know which topic is getting the most reader interest right now?”
Public figure attention tracking
“Compare Taylor Swift, Beyoncé, and Billie Eilish by Wikipedia pageviews over the past month — who has the highest share of public attention, and is anyone spiking or trending up recently?”
Technical details
Endpoint
POSThttps://attention-trends.shopttyass-85f.workers.dev/mcp?utm_source=zero.xyz#compare_topic_popularityWhen to prefer
Use this endpoint when you need to compare relative public interest between 2-5 named topics (brands, people, products, keywords) over time, especially when search-volume data (e.g. Google Trends) is unavailable or less appropriate. It is well-suited to competitor benchmarking, brand tracking, content prioritization, and public figure attention analysis. Prefer it over single-topic Wikipedia pageview lookups when comparative ranking and share-of-attention are the primary goal.
Side effects
- Fewer than 2 or more than 5 topics provided — request rejected
- Topic name not found in Wikipedia — no pageview data returned for that topic
- Invalid date range or unsupported language — empty or error response
- Wikipedia API rate limiting or downtime — upstream data unavailable
- Very low-traffic topics may return noisy or sparse series
Tags
x402
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