{"provider":{"host":"attention-trends.shopttyass-85f.workers.dev","name":"Wikipedia Pageviews Trend","score":55.1,"live":true,"checkedAt":"2026-10-27T18:47:12.599Z","uptime72h":100,"lastCheck":{"httpStatus":402,"ms":151,"note":"valid x402 v2 terms"},"endpoints":3,"networks":["eip155:8453","solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp"],"cheapestUsd":"0.005","income7dUsd":"0.14","payers7d":4,"transfers7d":21,"payoutAddressShared":false,"claimed":false,"page":"https://logicnodes.io/observatory/p/attention-trends.shopttyass-85f.workers.dev"},"endpoints":[{"url":"https://attention-trends.shopttyass-85f.workers.dev/top","method":"GET","priceMicroUsd":5000,"networks":["eip155:8453","solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp"],"description":"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."},{"url":"https://attention-trends.shopttyass-85f.workers.dev/trend","method":"GET","priceMicroUsd":5000,"networks":["eip155:8453","solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp"],"description":"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."},{"url":"https://attention-trends.shopttyass-85f.workers.dev/compare","method":"GET","priceMicroUsd":10000,"networks":["eip155:8453","solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp"],"description":"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."}]}