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Tanod utilpeek – Topic Attention Trends
x402
Tanod utilpeek – Topic Attention Trends is a paid API for AI agents from tanod.dev, paid per call via x402, $0.005/call, status unknown (last checked 2026-10-12).
Returns time-series attention signals (Wikipedia page views by language, Hacker News stories/comments, news mentions) for up to 5 topics over a configurable date range, with trend direction and spike detection.
Price / call$0.005
Success—
StatusUnknown
How this service works
Use when an agent must tell if interest in a topic is rising or fading: Wikipedia, Hacker News and news over time. Topic trends and attention over time: Wikipedia page views per language, Hacker News…
Output
A JSON object per topic containing: resolved Wikipedia article title and URL, daily time-series rows with Wikipedia views per language, Hacker News story and comment counts, and news mention counts; aggregate 7-day and 28-day percentage changes; trend direction (rising/stable/falling); spike days with ratio above trailing median; optional related top/rising topics; caveats and data attribution.
Example use cases
Competitor brand attention monitoring
“Compare public attention for 'OpenAI', 'Anthropic', and 'Google DeepMind' over the past 60 days — I want to see their Wikipedia views and news mentions side by side to see whose mindshare is growing.”
Crypto topic trend comparison
“Which is getting more attention right now: Bitcoin, Ethereum, or Solana? Look at Wikipedia page views and Hacker News activity from 2024-10-01 to 2024-12-31 and tell me the trend direction for each.”
Rising related topics discovery
“I'm researching 'quantum computing' — can you pull its Wikipedia view trend for the last 90 days and also give me the top related and rising Wikipedia topics so I know what adjacent subjects are gaining attention?”
Technical details
Endpoint
POSThttps://tanod.dev/v1/trends/attention?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need objective, open-data proxies for public interest in a topic over time — specifically Wikipedia page views, Hacker News engagement, and news mention counts. It is not Google Trends data and does not reflect search volume, but it provides multilingual Wikipedia signals across up to 6 languages and cross-source corroboration. Prefer it over general web-search trend APIs when you need reproducible, citation-backed attention data, multilingual audience signals, or spike detection grounded in Wikimedia and GDELT data.
Side effects
- Topic not found on Wikipedia — returns found:false with no daily data
- Requested date range exceeds 365 days — clamped or rejected
- Language code has no Wikipedia article for the topic — listed under languages_skipped
- News coverage not yet available for the full date range — unavailable_reason returned
- More than 5 topics submitted — request rejected by schema validation
- End date in the future — clamped to yesterday automatically
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| end | — | Last day, YYYY-MM-DD (UTC), at most yesterday (later is clamped to it). Default: yesterday. The range is at most 365 days. |
| start | — | First day, YYYY-MM-DD (UTC). Default: 90 days ending at `end`. |
| topics | array | 1 to 5 topics (words or a name, up to 100 characters each). Each is resolved to the top English Wikipedia search hit, reported as `article.title`. Several topics are compared: each gets its relative share. |
| related | — | Default false. True (one topic only) adds `related`: up to 10 `top` and 10 `rising` related Wikipedia topics, ranked by page views; not search queries and not Google Trends data. |
| languages | — | Optional Wikipedia language codes, at most 6 (en, de, ja ...). Default: en plus the four most-read languages that have the article. A language without the article is listed under `languages_skipped`. |
Output
Schema · Response
{
"type": "json",
"example": {
"end": "2026-10-11",
"days": 90,
"label": "public attention signals (Wikipedia views, Hacker News, news mentions) - not Google Trends data",
"start": "2026-07-14",
"method": "wikipedia: Wikimedia daily page views of the article found by search and of its interlanguage titles ...",
"topics": [
{
"news": {
"mentions": 1840,
"available": true,
"coverage_start": "2026-09-28",
"unavailable_reason": null
},
"daily": [
{
"date": "2026-10-10",
"wikipedia": {
"en": 2612,
"ja": 1050,
"total": 5701
},
"hn_stories": 2,
"hn_comments": 31,
"news_mentions": 52
},
{
"date": "2026-10-11",
"wikipedia": {
"en": 2599,
"ja": 1102,
"total": 5710
},
"hn_stories": 1,
"hn_comments": 24,
"news_mentions": 47
}
],
"found": true,
"topic": "bitcoin",
"trend": {
"basis": "wikipedia",
"direction": "rising",
"change_7d_pct": 12,
"direction_28d": "stable",
"change_28d_pct": -6.3,
"stable_within_pct": 10
},
"change": {
"news": {
"7d": {
"last": 640,
"previous": 590,
"change_pct": 8.5
},
"28d": null
},
"wikipedia": {
"7d": {
"last": 41200,
"previous": 36800,
"change_pct": 12
},
"28d": {
"last": 160300,
"previous": 171000,
"change_pct": -6.3
}
},
"hacker_news": {
"7d": {
"last": 150,
"previous": 120,
"change_pct": 25
},
"28d": null
}
},
"article": {
"url": "https://en.wikipedia.org/wiki/Bitcoin",
"title": "Bitcoin",
"language": "en",
"alternatives": [
"Bitcoin Cash",
"History of bitcoin"
],
"disambiguation_page": false
},
"wikipedia": {
"languages": [
{
"title": "Bitcoin",
"views": 241180,
"language": "en"
},
{
"title": "ビットコイン",
"views": 98544,
"language": "ja"
}
],
"total_views": 515210,
"languages_skipped": []
},
"spike_days": {
"news": [],
"wikipedia": [
{
"date": "2026-08-17",
"ratio": 3,
"value": 15210,
"trailing_median": 5030
}
],
"hacker_news": []
},
"hacker_news": {
"query": "bitcoin",
"partial": false,
"stories": 212,
"comments": 3480
}
}
],
"caveats": [
"These are open attention proxies, not search volume. Absolute numbers are not comparable across signals."
],
"attribution": {
"news": {
"url": "https://www.gdeltproject.org/",
"source": "Counts derived from the GDELT Project feed (https://www.gdeltproject.org/)"
},
"wikimedia": {
"url": "https://wikimedia.org/api/rest_v1/",
"source": "Wikimedia Foundation, Pageviews API (agent=user, all-access, daily)",
"titles": "Article titles from Wikipedia (https://www.wikipedia.org/)",
"licence": "CC0 1.0 (public domain dedication); credited here as a courtesy"
},
"hacker_news": {
"url": "https://hn.algolia.com/api",
"source": "Hacker News via the Algolia HN Search API"
}
},
"not_google_trends": true,
"end_clamped_to_yesterday": false
}
}Tags
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