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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": [
          {
            "default": null,
            "description": "",
            "enumValues": [],
            "example": 30,
            "group": "query",
            "name": "days",
            "required": false,
            "type": "number"
          },
          {
            "default": null,
            "description": "",
            "enumValues": [],
            "example": "en",
            "group": "query",
            "name": "lang",
            "required": false,
            "type": "string"
          },
          {
            "default": null,
            "description": "",
            "enumValues": [],
            "example": "ChatGPT,Claude,Gemini",
            "group": "query",
            "name": "topics",
            "required": false,
            "type": "string"
          }
        ],
        "pricing": {
          "amount": "0.01",
          "currency": "USDC",
          "maxAmount": "",
          "minAmount": "",
          "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": "",
        "parameters": [],
        "pricing": {
          "amount": "0.01",
          "currency": "USDC",
          "maxAmount": "",
          "minAmount": "",
          "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": {
          "amount": "0.005",
          "currency": "USDC",
          "maxAmount": "",
          "minAmount": "",
          "network": "eip155:8453",
          "scheme": "exact"
        },
        "providerName": "",
        "quality": {
          "l30DaysTotalCalls": "1",
          "l30DaysUniquePayers": "1"
        },
        "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": [],
        "pricing": {
          "amount": "0.005",
          "currency": "USDC",
          "maxAmount": "",
          "minAmount": "",
          "network": "eip155:8453",
          "scheme": "exact"
        },
        "providerName": "",
        "quality": {
          "l30DaysTotalCalls": "1",
          "l30DaysUniquePayers": "1"
        },
        "serviceName": "",
        "tags": [],
        "url": "https://attention-trends.shopttyass-85f.workers.dev/mcp#wikipedia_pageviews_trend"
      },
      {
        "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": "GET",
        "parameters": [
          {
            "default": null,
            "description": "",
            "enumValues": [],
            "example": "en",
            "group": "query",
            "name": "lang",
            "required": false,
            "type": "string"
          },
          {
            "default": null,
            "description": "",
            "enumValues": [],
            "example": 25,
            "group": "query",
            "name": "limit",
            "required": false,
            "type": "number"
          }
        ],
        "pricing": {
          "amount": "0.005",
          "currency": "USDC",
          "maxAmount": "",
          "minAmount": "",
          "network": "eip155:8453",
          "scheme": "exact"
        },
        "providerName": "",
        "quality": {
          "l30DaysTotalCalls": "6",
          "l30DaysUniquePayers": "5"
        },
        "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": [
          {
            "default": null,
            "description": "",
            "enumValues": [],
            "example": 30,
            "group": "query",
            "name": "days",
            "required": false,
            "type": "number"
          },
          {
            "default": null,
            "description": "",
            "enumValues": [],
            "example": "en",
            "group": "query",
            "name": "lang",
            "required": false,
            "type": "string"
          },
          {
            "default": null,
            "description": "",
            "enumValues": [],
            "example": "bitcoin",
            "group": "query",
            "name": "topic",
            "required": false,
            "type": "string"
          }
        ],
        "pricing": {
          "amount": "0.005",
          "currency": "USDC",
          "maxAmount": "",
          "minAmount": "",
          "network": "eip155:8453",
          "scheme": "exact"
        },
        "providerName": "",
        "quality": {
          "l30DaysTotalCalls": "4",
          "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

{"body":"67580137ed4924850e8adc2d30fac6c5003162d2648a7cc668096c45fd68f6fe","id":407120,"kind":"listing","method":"sync.agentic_market/1","observed_us":1793080233722045,"prev":283163,"subject":"agentic_market:attention-trends-shopttyass-85f-workers-dev","subject_kind":"source_record"}

Proof

Fold these into the leaf in order, hashing each sorted pair with keccak256, to reach the root of (273461 rows).

  1. 0x909227f8265e6814f90388816c027ec2be043ce2fb462d50e49e65306bc23944
  2. 0x0b0289029d492669e8804d8f662227cf5fa9de60e88d3265df55c82e537e1d77
  3. 0xafb54596232263cea46ecb7fa26029d23a65d2fd0a7c261dc909b76700dff644
  4. 0x4605b7d36f310c7cd48e226e61e617cad9d20ee4706436cd68c7223a0a753fb4
  5. 0xa624d1c6595601627b8422efe62195657f18ce3683ad48567598b446bba55941
  6. 0x529fa47b685aaca316e2916dc50a184bf7bbe72a57e0d7e2b5a85f6e30f228cd
  7. 0xab28ea71bc38a35af662e39a0101a5e4a0f3491f42f51293d7964805e7770770
  8. 0x9b53d9723771a3d8003b1cfdbc6c201f489c50dcd37ff110891f35994d374fb5
  9. 0x14804e08fcd2099e88be43a6f91db6f4844d05c79c1819299fccf91e9b0d7462
  10. 0x52c3ace8624b5a81edb4575f54d111ab5eb0cd1c451932aff3d0228c2aa492f5
  11. 0x8e9c5f6e43e595f47f84f799aabf34754c649742c93a57fc91c20c42baa244b9
  12. 0x3d13b6f855471289691a683ee58cac14977b2531dabc14f9c666e928df0908e6
  13. 0x5c9cbca5bb1d6be4d84e301b4e4c1a280536eb16ee98ed4add9057142c132dde
  14. 0x06e3b43165f5b3c31d850bc32f20b2e25b844564c4e042c141b9748c26a5a600
  15. 0xb4f7223140c8a36cb87a63d77cf617086d9968dc4658f03e102571ebe06e9ed6
  16. 0xfecf3d4646dd4984a13dd715499e842c3fde63692336d97394c2bfd8e877ca5d
  17. 0xf30fddbf4811226c58e8f0daf36fddd79fc5f1356b592bb1d99a8061ddbabe66
  18. 0x2bf8151e5f157dd183b9de6fa00469551932a7a6e3f33a694895000ac9061197
  19. 0x9fc354c0ea3efc3f1b6548bb77ea902a50f2c9647647ea61592efce2bd795699
Day root
0xdd77e5e99da32c3f154180d63e3c3e6fe11e896a2c6896412ef6b5c4bcf7e795
Chained
0x23bb4dfd09f55c15ac3962f53578e02c6114d5bfd9bb451cf8794fb6e2817ef4
Published
On Arc Testnet, block 69414147: 0xb2ebd83aafeb765a0ce66e76aefb133ed06606c98038fd56191e2bcd1dcb77b4

How to check it · This row as JSON