Attention Trends
Server Details
Topic popularity, interest over time and trending topics from Wikipedia pageviews (x402 paid).
- Status
- Healthy
- Uptime
- 100.0% over the last 24 hours
- Last Tested
- Transport
- Streamable HTTP · MCP 2025-11-25
- URL
- ChatGPT
- –
- Claude
- –
TDQS
Scored across 3 tools
trending_topics is clearly distinct (daily top-article leaderboard), while compare_topic_popularity and wikipedia_pageviews_trend both return normalized 0-100 interest-over-time with direction and spikes. The multi-topic vs single-topic distinction is stated in the descriptions, so confusion is limited but the two trend tools are close cousins.
All names are snake_case and readable, but the conventions differ: compare_topic_popularity is verb_noun, trending_topics is a gerund/descriptor, and wikipedia_pageviews_trend is a bare noun phrase with a vendor prefix. Predictable enough to navigate, not a uniform pattern.
Three tools for a narrow Wikipedia-attention analytics domain is lean but each covers a genuine query shape (multi-topic comparison, daily trending list, single-topic trend). Slightly thin, though nothing feels redundant enough to cut.
The surface covers the core lifecycle of attention analysis: discover trends, compare competitors, and drill into a single topic's history. Minor gaps exist (e.g., explicit topic search/resolution endpoint, regional or language-scoped breakdowns for a single topic), but agents can work around them via free-text resolution.
Available Tools
3 toolscompare_topic_popularityCompare Topic PopularityARead-onlyIdempotentInspect
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. Paid: $0.01 USDC per call via x402.
Inputs: topics (required), days, lang.
trending_topicsTrending Topics (Wikipedia)ARead-onlyIdempotentInspect
What is trending right now: the most-read Wikipedia articles for a language and day (default yesterday UTC), with views and rank, cleaned of the Main Page, special and other non-article pages. A daily signal of trending topics, breaking news and current events in 300+ Wikipedia language editions. Suited to trend discovery, news monitoring and content ideas. Paid: $0.005 USDC per call via x402.
Inputs: date, lang, limit.
wikipedia_pageviews_trendWikipedia Pageviews TrendARead-onlyIdempotentInspect
Wikipedia pageviews trend for any topic: interest over time as a measure of topic popularity and public attention. Free text (brand, person, product, event) is resolved to the matching Wikipedia article. Returns daily views normalized 0-100, 7-day and window % change, direction (rising, falling, stable, spiking), peak day and spike detection. Similar in purpose to Google Trends search interest, but it measures Wikipedia reading, not searches. Paid: $0.005 USDC per call via x402.
Inputs: topic (required), days, lang.
Tool Schema Changelog
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Related MCP Connectors
Wikipedia page view trends for any topic over time. Free key at trendsapi.ai
Wikipedia page views over time, with growth for any article topic. Free key at trendsmcp.ai
Trend data from Google Trends, YouTube, TikTok, Reddit, Amazon, Wikipedia, npm, Steam and more
Google search trends and search demand: 5 years of interest, momentum and seasonality per topic
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