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Evidence row 525644

Observed , by sync.agentic_market/1.

Kind
listing
About
source_record agentic_market:attention-trends-shopttyass-85f-workers-dev
Recorded
Previous row
#407120
Body SHA-256
b1d2b7a2b8c6da001733eb7787d7591f3781a05352f29e0939a2e344b71a411c
Leaf
0x7d6c8277b26ee5c37708167d601554e0c4c89f6359c52ad66f24ca2819ee4830

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": "5",
          "l30DaysUniquePayers": "4"
        },
        "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": "7",
          "l30DaysUniquePayers": "6"
        },
        "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": "5",
          "l30DaysUniquePayers": "4"
        },
        "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":"b1d2b7a2b8c6da001733eb7787d7591f3781a05352f29e0939a2e344b71a411c","id":525644,"kind":"listing","method":"sync.agentic_market/1","observed_us":1793124763047809,"prev":407120,"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. 0x7d6c65e97fb3755348e091adbace2f7de46b05b0c277b742acfce9bf8ae86cd2
  2. 0x9ab68a1c24e076bef03412b4fd30f35a2387c21b48f3e7f7432cbc7561f36cea
  3. 0xed0a6fe2a20ac8fbef2751b63c1e5c3c1a8150433ec5e1ea4e3567cec478229f
  4. 0xc87250d540749aa896f8e92e85a69f202b110fea062c42f032725f33ca890f2f
  5. 0x0dc2c1ce047be05613087e1d1efd984645dd388ad0a21e5bea3c088f201d97fc
  6. 0x7d7059da8d6528706dce7d635e649d1cbf4ba611f0df72c42a55661c6eaa4707
  7. 0x243bc917f81422110487a3d6b4967bf6145920549fe146cd805bc2ccf1073d48
  8. 0x4049a69857dfea884fe264da94ba937e51da56e0d152364404bd7edf87321cd0
  9. 0xb2a0b2cf4d9c3ac9d490722db51485a9441990ebd51d1477d3e220f771671b93
  10. 0xce48617308d980f3ef91bab3b80663ede041f7ececc12af513b88234416562ef
  11. 0x35f3fb28970853b4021570da310e6e5a973fb73b9919acf58f72111514d9c099
  12. 0x4b98c7145f5ead65ac9430579969acab10bc70758d3533f5a4fd4dbb462a2b61
  13. 0xbc7cf10ae301dcdbc5db5be8c29e1b3618ffaf1c196a74cb6a9e6c4fae0bbeed
  14. 0xfa0c8e8f1a1710ff197533b0a28208f2e168afe71abb7bb3416e09d1ac371d60
  15. 0x3c500ec3d3edf0c74b87a6ca8fcd77656bfbe03db3d478bd0c184d0c88839c6b
  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