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Evidence row 1609

Observed , by baseline/1.

Kind
listing
About
source_record agentic_market:attention-trends-shopttyass-85f-workers-dev
Recorded
Previous row
None: the first of its kind about this subject
Body SHA-256
67580137ed4924850e8adc2d30fac6c5003162d2648a7cc668096c45fd68f6fe
Leaf
0xc7fbf5545ece3b877f67954096ad3c8b22cedd3ced70583e44a51489a5fee622

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":1609,"kind":"listing","method":"baseline/1","observed_us":1793025254435619,"prev":null,"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 (296695 rows).

  1. 0xc7fc0471bd47b04eef034518a815ca1038853fdd5a641faceaf4ef4a83683ac6
  2. 0x89b27975cc429ec666e15842021f9927bc125abb96ca0849d6ab8a21c556c8f5
  3. 0xbb8e6dd648ae6143f5101f444154643dbf92897fe044a4439cff15b225d2b019
  4. 0x6d6466450e2c6cff41f8dd4edcdbe05516dfa7f0c544601bf855138207c54857
  5. 0x82bd7a88c6364845ee2ad4350a0f18f20254db9dc348f4c789038178433d6632
  6. 0xc01ec2c3ff49bbed3ed7c906af8fa79cfb2a90b802b41dda66477ac52daf6c73
  7. 0x4454100a6fa1051364a7f26875ef19dac75d47a22541314e399e1c44cd35a9ba
  8. 0x0e35c7e203af69a17c829920c6b37695c713943ae4e9ae7a37d989c5514c4687
  9. 0xcb86a45ea79d3e9e984baa2ec9f053500a4ceabd59c4d23baa5b2c64d2bdbbd3
  10. 0xa403d1fe215a97991378c0b67b9af7ef7b1e56dd3f0f7b576359048c108af6b9
  11. 0xac575d7ca8c3c7e88957908dda0517fbb35f0894886bb91a97cff3aa71fa23e9
  12. 0xde09984239f27618a13932caf48f5d39831fc5021500b0581dce0dabd570bd6e
  13. 0x72e35aac89ebca631656c2b1aecbdc094807d9807f12c22a6ddf35cc1f5e21d6
  14. 0x5b20d8aab05225a3497eadcce89d2e2a586a510fb31334793d3f46f88f0157c5
  15. 0xe94ca5b798e9899ad611e57835af42266e20f53f44977e487d81365e30972beb
  16. 0x703f95866af09c5e5d6ead7411e9a10f964a41a2aff64d4a55ff0053c023a023
  17. 0xd0651cb9bc8155eb52b5247d506e74b8a935057dc190ba52091702ac25ed3a40
  18. 0x9a9024edb5069d88a324facb310a5ce8e495214bbaa968f077bede437390194f
  19. 0x9b9ce5b74b9bab5121612ef6b64920a8d453cbf311096a423eef9702747e868a
Day root
0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8
Chained
0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a
Published
On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae

How to check it · This row as JSON