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ADH Attention-Wiki Wikipedia Pageviews Intelligence Feed
x402
ADH Attention-Wiki Wikipedia Pageviews Intelligence Feed is a paid API for AI agents from agentdatum.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-09-15).
Returns yesterday's top Wikipedia pageview rankings as a leading indicator of public attention, narrative trends, and media momentum for financial and market intelligence contexts.
Price / call$0.01
Success—
StatusUnknown
How this service works
ADH 金融情报层：把 239 个原始数据源洗成带实体解析、时间同步、溯源与派生结论的情报（宏观regime / 加密尽调 / 事件窗口），免费注入你的 AI 上下文。Agent 走 x402 结算，人类订阅（PayPal）即将上线。
Output
A ranked list of up to 100 Wikipedia articles by pageview count for the previous day, including article title, rank, view count, date, source project (e.g. en.wikipedia), data type label, collection timestamp, and an analyst note explaining the signal value of the data as a narrative and attention leading indicator.
Example use cases
Detecting narrative momentum before markets react
“Check the ADH attention-wiki feed for yesterday's top Wikipedia articles — I want to see if any macro themes, central bank figures, or geopolitical topics are spiking in public attention before the market fully prices them in.”
Monitoring which crypto figures are trending
“Pull yesterday's most-viewed Wikipedia articles and flag any crypto founders, blockchain projects, or DeFi topics in the top 100 — I'm trying to gauge retail attention as part of my due diligence.”
Event-window intelligence for earnings season
“Get me yesterday's Wikipedia pageview rankings and highlight any corporate names or CEOs in the top results — I'm building an event-window analysis to see if public attention around companies spikes before or after their earnings announcements.”
Technical details
Endpoint
GEThttps://agentdatum.com/api/v1/d/attention-wikiWhen to prefer
Choose this endpoint when you need a free-text, human-attention signal rather than structured financial data — it is ideal for narrative momentum analysis, event-window studies, and detecting which public figures or topics are gaining mindshare before traditional media or market prices reflect it. Prefer it over social media trend APIs when you want a cleaner, bot-free signal of genuine public curiosity. Best combined with ADH macro or crypto endpoints to correlate attention spikes with asset movements.
Side effects
- Wikimedia upstream delay may cause data to reflect two days ago rather than yesterday
- Empty or partial results if Wikimedia pageview pipeline is delayed
- HTTP 402 if x402 payment not properly attached or USDC balance insufficient
- Rate limiting if called excessively without valid payment headers
- Stale collected_at timestamp if ADH ingestion pipeline has a backlog
Output
Schema · Response
{
"type": "json",
"example": {
"raw": {
"data": [
{
"rank": 4,
"views": 525043,
"article": "Joshua Kushner"
},
{
"rank": 4,
"views": 525043,
"article": "Joshua Kushner"
}
],
"date": "2026-08-12",
"entries": 100,
"project": "en.wikipedia"
},
"note": "What the world actually looked up yesterday - leading indicator for news and narrative.",
"source": "wikimedia-pageviews",
"data_type": "媒体",
"collected_at": "2026-08-14T00:43:07Z"
}
}Tags
x402
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