Evidence row 120991

What was observed

{
  "endpoints": [
    [
      "x402",
      "https://scraplingdata.xyz/v1/ads/cost-benchmarks"
    ]
  ],
  "name": "Scrapling x402 Data Store",
  "owner_address": "0x72c80c01fd89bac74f47cf604b61acd119c9bcdb",
  "raw": {
    "accepts": [
      {
        "amount": "2000",
        "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
        "extra": {
          "name": "USD Coin",
          "version": "2"
        },
        "maxTimeoutSeconds": 300,
        "network": "eip155:8453",
        "payTo": "0x72C80C01fD89Bac74f47cf604b61ACd119c9BCdb",
        "scheme": "exact"
      },
      {
        "amount": "2000",
        "asset": "0x3c499c542cEF5E3811e1192ce70d8cC03d5c3359",
        "extra": {
          "name": "USD Coin",
          "version": "2"
        },
        "maxTimeoutSeconds": 300,
        "network": "eip155:137",
        "payTo": "0x72C80C01fD89Bac74f47cf604b61ACd119c9BCdb",
        "scheme": "exact"
      },
      {
        "amount": "2000",
        "asset": "0xaf88d065e77c8cC2239327C5EDb3A432268e5831",
        "extra": {
          "name": "USD Coin",
          "version": "2"
        },
        "maxTimeoutSeconds": 300,
        "network": "eip155:42161",
        "payTo": "0x72C80C01fD89Bac74f47cf604b61ACd119c9BCdb",
        "scheme": "exact"
      },
      {
        "amount": "2000",
        "asset": "EPjFWdd5AufqSSqeM2qN1xzybapC8G4wEGGkZwyTDt1v",
        "extra": {
          "feePayer": "BFK9TLC3edb13K6v4YyH3DwPb5DSUpkWvb7XnqCL9b4F"
        },
        "maxTimeoutSeconds": 300,
        "network": "solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp",
        "payTo": "4ZUtqtQSrL522bcXTag1eR59cwfQhQGW16nYuzyYgRWX",
        "scheme": "exact"
      }
    ],
    "description": "Ad cost benchmarks: CPM, CPC and CTR by platform (Meta, Google Search, Google Display, TikTok, LinkedIn) and industry, each figure with source report name, URL, as-of date and sample. Optional filters platform, industry, metric (cpm|cpc|ctr). Compiled from public benchmark reports (WordStream/LocaliQ, Triple Whale, DemandSense); not live auction prices",
    "extensions": {
      "bazaar": {
        "info": {
          "input": {
            "method": "GET",
            "queryParams": {
              "industry": "real estate",
              "platform": "meta"
            },
            "type": "http"
          },
          "output": {
            "example": {
              "count": 1,
              "results": [
                {
                  "as_of": "2025-06-30",
                  "campaign_type": "traffic",
                  "industry": "Real Estate",
                  "metric": "cpc",
                  "platform": "meta",
                  "source_name": "WordStream by LocaliQ - Facebook Ads Benchmarks 2025",
                  "source_url": "https://www.wordstream.com/blog/facebook-ads-benchmarks-2025",
                  "unit": "USD",
                  "value": 0.91
                }
              ]
            },
            "type": "json"
          }
        },
        "schema": {
          "$schema": "https://json-schema.org/draft/2020-12/schema",
          "properties": {
            "input": {
              "additionalProperties": false,
              "properties": {
                "headers": {
                  "additionalProperties": {
                    "type": "string"
                  },
                  "type": "object"
                },
                "method": {
                  "enum": [
                    "GET",
                    "HEAD",
                    "DELETE"
                  ],
                  "type": "string"
                },
                "queryParams": {
                  "properties": {
                    "industry": {
                      "description": "Keyword, e.g. real estate, legal, saas, beauty",
                      "type": "string"
                    },
                    "metric": {
                      "description": "cpm | cpc | ctr",
                      "type": "string"
                    },
                    "platform": {
                      "description": "meta | google_search | google_display | tiktok | linkedin",
                      "type": "string"
                    }
                  },
                  "required": [],
                  "type": "object"
                },
                "type": {
                  "const": "http",
                  "type": "string"
                }
              },
              "required": [
                "type",
                "method"
              ],
              "type": "object"
            },
            "output": {
              "properties": {
                "example": {
                  "type": "object"
                },
                "type": {
                  "type": "string"
                }
              },
              "required": [
                "type"
              ],
              "type": "object"
            }
          },
          "required": [
            "input"
          ],
          "type": "object"
        }
      }
    },
    "lastUpdated": "2026-10-25T19:50:22.303Z",
    "quality": {
      "l30DaysTotalCalls": 2,
      "l30DaysUniquePayers": 2,
      "lastCalledAt": "2026-10-25T19:50:21.969Z"
    },
    "resource": "https://scraplingdata.xyz/v1/ads/cost-benchmarks",
    "serviceName": "Scrapling x402 Data Store",
    "tags": [
      "web-scraping",
      "crypto",
      "defi",
      "ecommerce",
      "datasets"
    ],
    "type": "http",
    "x402Version": 2
  },
  "source": "x402_bazaar",
  "summary": "Ad cost benchmarks: CPM, CPC and CTR by platform (Meta, Google Search, Google Display, TikTok, LinkedIn) and industry, each figure with source report name, URL, as-of date and sample. Optional filters platform, industry, metric (cpm|cpc|ctr). Compiled from public benchmark reports (WordStream/LocaliQ, Triple Whale, DemandSense); not live auction prices"
}

What the leaf hashes

{"body":"1ee8f3add5ce259f46e9644574a8d98aecb21e56af3cdabdfd1bf521316176b7","id":120991,"kind":"listing","method":"baseline/1","observed_us":1793025619090839,"prev":null,"subject":"x402_bazaar:https://scraplingdata.xyz/v1/ads/cost-benchmarks","subject_kind":"source_record"}

Proof

Fold these into the leaf in order, hashing each sorted pair with keccak256, to reach the root of 2026-10-26 (296695 rows).

1. 0xbe262d27fca0cb0def5202cadf268a41b930ea389358130539c94cc11f1b5c9c
2. 0x5d2dd98b33e2fa429d5eb8bcadf8fb01820e06b89b7fe63d0a76ca7b6908994d
3. 0x9ba2736193371cec3c454faf566617f1795d6d0168476b7ec49b503a3635b818
4. 0xf8567d259ab68637b525804f559b511ee9efd7feec08a232363bb35fa7d810a3
5. 0x9c2d3f9c0b4a07d9b1da06172f006c85f79111ebcf3c20a83119098b009f3596
6. 0xe39dcfb638f9285f92785da52527ef08f8f9959b693920fefe0c4e5a3a7c7ee7
7. 0xd36ff489fb3f80f257645798a8ad904a76a55212a7f374f7710d02aa21997c08
8. 0x3ae347da3f019aead857460708e310c8c74fc7249976443cbfc28c5cc5838f76
9. 0x59d2ed1afe9209822b673cdabf6a11b8d0a4d2c5c380f7cc9ea0a18d4087142e
10. 0x927b7a2d4b8d7a76e95e52be4a765e83f728466e719f0aa3e8653655c30cd191
11. 0x0c2fadf69af6b0b6e19a10cc8f6ddfdff26662d74207cc53dcbcf5abfbdbc8c9
12. 0xa6f71fd6c3a59323bf7c5386a54935b14c555d8c717289cc73700f56d86994cd
13. 0xd5b5bb5812612371a70171b2252d90e95bb0581ea5a3be198122adc8442e4f79
14. 0xf692ce2b0a640ec9f75aa960e5fb1c2c7091a04e24881798735752c19014e519
15. 0x9f68b5e15459cb62b8c0cd4c124fa61c74147b4a5755a200fbecd21a581635d1
16. 0x123ec8bee20ddc55223eeef5a4f4d6c4b6416515adbb911c56759f5cde56e452
17. 0xd0651cb9bc8155eb52b5247d506e74b8a935057dc190ba52091702ac25ed3a40
18. 0x9a9024edb5069d88a324facb310a5ce8e495214bbaa968f077bede437390194f
19. 0x9b9ce5b74b9bab5121612ef6b64920a8d453cbf311096a423eef9702747e868a

Day root

0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8

Chained

0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a

Published

On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae