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attention-pageviews
x402
attention-pageviews is a paid API for AI agents from api.agentstools.dev, paid per call via x402, $0.015/call, status unknown (last checked 2026-09-13).
Returns a 0-100 Wikipedia readership attention index for a keyword or entity, including week-over-week and month-over-month deltas, trend direction, and datestamped traffic spikes.
Price / call$0.015
Success—
StatusUnknown
How this service works
Wikipedia-readership attention index for a word/entity: resolves the word to an article (disambiguated by real traffic), then returns a 0-100 index, WoW/MoM deltas, a trend and datestamped spikes from daily pageviews. One pageviews call (+ resolution). A curiosity/readership index — not Google Trends.
Output
Returns a structured JSON payload containing: a 0-100 attention index for the resolved Wikipedia article, week-over-week (WoW) and month-over-month (MoM) deltas, a trend label (e.g. rising/falling/stable), and a list of datestamped pageview spikes. Also includes the resolved Wikipedia article title used for the computation.
Example use cases
Crypto curiosity spike detection
“Is there a recent spike in Wikipedia readership for Bitcoin? Give me the attention index, the WoW and MoM deltas, and highlight any datestamped spikes in the last 60 days.”
Celebrity buzz tracking for PR team
“How much public curiosity is Taylor Swift getting on English Wikipedia right now? I want the 0-100 attention score and the trend direction for the past 90 days.”
Macro topic interest for investment research
“I'm researching public interest in 'artificial intelligence' — can you pull the Wikipedia readership attention index for it with week-over-week and month-over-month changes over the last 180 days?”
Technical details
Endpoint
GEThttps://api.agentstools.dev/attention/pageviewsWhen to prefer
Choose this endpoint when you need a normalized, indexed measure of public curiosity or readership interest for a named entity, person, company, product, or topic — specifically sourced from Wikipedia traffic rather than search volume. Prefer it over Google Trends-style endpoints when you want a curiosity/readership signal (not search intent), need datestamped spike detection, or want WoW/MoM deltas on a 0-100 normalized scale. Ideal for PR monitoring, investment research interest signals, trend detection, and entity-level attention scoring across multiple languages.
Side effects
- Keyword cannot be resolved to any Wikipedia article — returns resolution failure or null article
- Ambiguous keyword resolves to wrong article despite traffic-based disambiguation
- Requested article title not found in the specified language project
- Lookback window outside allowed range (14–365 days) returns validation error
- Wikipedia Pageviews API rate limit or availability issue causes upstream timeout
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Tags
x402
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