← The evidence ledger
Evidence row 407120
Observed , by sync.agentic_market/1.
- Kind
- listing
- About
- source_record agentic_market:attention-trends-shopttyass-85f-workers-dev
- Recorded
- Previous row
- #283163
- Body SHA-256
- 67580137ed4924850e8adc2d30fac6c5003162d2648a7cc668096c45fd68f6fe
- Leaf
- 0x9091f0c9e10d4c6d05de1724af33901a7d6c857f49689bae52bd78b86cb642e1
What was observed
{
"endpoints": [
[
"x402",
"https://attention-trends.shopttyass-85f.workers.dev/compare"
],
[
"x402",
"https://attention-trends.shopttyass-85f.workers.dev/mcp"
],
[
"x402",
"https://attention-trends.shopttyass-85f.workers.dev/top"
],
[
"x402",
"https://attention-trends.shopttyass-85f.workers.dev/trend"
]
],
"name": "attention-trends.shopttyass-85f.workers.dev",
"owner_address": null,
"raw": {
"caip2_networks": [
"eip155:8453",
"solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp"
],
"category": "",
"description": "",
"domain": "attention-trends.shopttyass-85f.workers.dev",
"endpoints": [
{
"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.",
"method": "GET",
"parameters": [
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"example": "ChatGPT,Claude,Gemini",
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"pricing": {
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"currency": "USDC",
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"network": "eip155:8453",
"scheme": "exact"
},
"providerName": "",
"quality": {
"l30DaysTotalCalls": "4",
"l30DaysUniquePayers": "3"
},
"serviceName": "Compare Topic Popularity",
"tags": [
"compare popularity",
"wikipedia pageviews",
"share of attention",
"competitor analysis",
"brand tracking"
],
"url": "https://attention-trends.shopttyass-85f.workers.dev/compare"
},
{
"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.",
"method": "",
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"network": "eip155:8453",
"scheme": "exact"
},
"providerName": "",
"quality": {
"l30DaysTotalCalls": "1",
"l30DaysUniquePayers": "1"
},
"serviceName": "",
"tags": [],
"url": "https://attention-trends.shopttyass-85f.workers.dev/mcp#compare_topic_popularity"
},
{
"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.",
"method": "",
"parameters": [],
"pricing": {
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"currency": "USDC",
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"network": "eip155:8453",
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"providerName": "",
"quality": {
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},
"serviceName": "",
"tags": [],
"url": "https://attention-trends.shopttyass-85f.workers.dev/mcp#trending_topics"
},
{
"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.",
"method": "",
"parameters": [],
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"providerName": "",
"quality": {
"l30DaysTotalCalls": "1",
"l30DaysUniquePayers": "1"
},
"serviceName": "",
"tags": [],
"url": "https://attention-trends.shopttyass-85f.workers.dev/mcp#wikipedia_pageviews_trend"
},
{
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"method": "GET",
"parameters": [
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"providerName": "",
"quality": {
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},
"serviceName": "Trending Topics (Wikipedia)",
"tags": [
"trending topics",
"what is trending",
"most read wikipedia",
"current events",
"wikipedia pageviews"
],
"url": "https://attention-trends.shopttyass-85f.workers.dev/top"
},
{
"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.",
"method": "GET",
"parameters": [
{
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"description": "",
"enumValues": [],
"example": 30,
"group": "query",
"name": "days",
"required": false,
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{
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},
{
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"example": "bitcoin",
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}
],
"pricing": {
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},
"providerName": "",
"quality": {
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"l30DaysUniquePayers": "3"
},
"serviceName": "Wikipedia Pageviews Trend",
"tags": [
"wikipedia pageviews",
"interest over time",
"topic popularity",
"trend detection",
"google trends alternative"
],
"url": "https://attention-trends.shopttyass-85f.workers.dev/trend"
}
],
"enriched": false,
"iconUrl": "",
"id": "attention-trends-shopttyass-85f-workers-dev",
"integrationType": "",
"isNew": false,
"name": "attention-trends.shopttyass-85f.workers.dev",
"networks": [
"Base",
"solana:5eykt4usfv8p8njdtrepy1vzqkqzkvdp"
],
"priceSummary": {
"avgCostBasis": "exact",
"avgCostPerTransaction": "0.006667",
"currency": "USDC",
"maxAmount": "0.01",
"minAmount": "0.005"
},
"provider": "attention-trends.shopttyass-85f.workers.dev",
"providerUrl": "",
"serviceName": "",
"tags": [
"compare popularity",
"wikipedia pageviews",
"share of attention",
"competitor analysis",
"brand tracking",
"trending topics",
"what is trending",
"most read wikipedia",
"current events",
"interest over time",
"topic popularity",
"trend detection",
"google trends alternative"
]
},
"source": "agentic_market",
"summary": ""
}What the leaf hashes
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- Day root
- 0xdd77e5e99da32c3f154180d63e3c3e6fe11e896a2c6896412ef6b5c4bcf7e795
- Chained
- 0x23bb4dfd09f55c15ac3962f53578e02c6114d5bfd9bb451cf8794fb6e2817ef4
- Published
- On Arc Testnet, block 69414147: 0xb2ebd83aafeb765a0ce66e76aefb133ed06606c98038fd56191e2bcd1dcb77b4