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Evidence row 2217154

Observed , by sync.x402_bazaar/1.

Kind
listing
About
source_record x402_bazaar:https://market.datapackvibe.com/x402/assistant-sector-analytics-content-engagement-normalise
Recorded
Previous row
#1796203
Body SHA-256
1ea4d8b7b31d1deac53860dbbcb63adab89015b987068023bc943746d8a74c57
Leaf
0x2da3bc2f93925c0552a3f883f35dc33ba8c030f24c96ff4e2adecb7546da5fdb

What was observed

{
  "endpoints": [
    [
      "x402",
      "https://market.datapackvibe.com/x402/assistant-sector-analytics-content-engagement-normalise"
    ]
  ],
  "name": "market.datapackvibe.com/x402/assistant-sector-analytics-content-engagement-normalise",
  "owner_address": "0x8bc2aecdd86097f74a1a5fa17764108d9a683c8c",
  "raw": {
    "accepts": [
      {
        "amount": "10000",
        "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
        "extra": {
          "name": "USD Coin",
          "version": "2"
        },
        "maxTimeoutSeconds": 300,
        "network": "eip155:8453",
        "payTo": "0x8bc2AECdD86097F74a1a5fa17764108D9a683C8C",
        "scheme": "exact"
      }
    ],
    "description": "Content engagement - String normalisation: String normalisation for Content engagement. Up to 200 supplied typed records. Local numeric and data-quality processing; no external enrichment or forecasting. One of 25 profiles or calculations across 20 shared operations in this sector. 0.01 USDC includes one bounded string normalisation deliverable.",
    "extensions": {
      "bazaar": {
        "info": {
          "input": {
            "body": {
              "rows": [
                {
                  "content_type": "group-a",
                  "date": "2026-10-01",
                  "engagements": 1,
                  "row_id": "row-1",
                  "views": 10
                },
                {
                  "content_type": "group-b",
                  "date": "2026-10-02",
                  "engagements": 2,
                  "row_id": "row-2",
                  "views": 20
                },
                {
                  "content_type": "group-a",
                  "date": "2026-10-03",
                  "engagements": 3,
                  "row_id": "row-3",
                  "views": 15
                },
                {
                  "content_type": "group-b",
                  "date": "2026-10-04",
                  "engagements": 4,
                  "row_id": "row-4",
                  "views": 30
                }
              ]
            },
            "bodyType": "json",
            "method": "POST",
            "type": "http"
          },
          "output": {
            "example": {
              "files": [],
              "order_id": "ord_example",
              "result": {
                "completed": true,
                "workflow": "sector-analytics-content-engagement-normalise"
              },
              "sku": "assistant-sector-analytics-content-engagement-normalise",
              "status": "delivered"
            },
            "type": "json"
          }
        },
        "schema": {
          "$schema": "https://json-schema.org/draft/2020-12/schema",
          "properties": {
            "input": {
              "additionalProperties": false,
              "properties": {
                "body": {
                  "additionalProperties": false,
                  "properties": {
                    "rows": {
                      "default": [
                        {
                          "content_type": "group-a",
                          "date": "2026-10-01",
                          "engagements": 1,
                          "row_id": "row-1",
                          "views": 10
                        },
                        {
                          "content_type": "group-b",
                          "date": "2026-10-02",
                          "engagements": 2,
                          "row_id": "row-2",
                          "views": 20
                        },
                        {
                          "content_type": "group-a",
                          "date": "2026-10-03",
                          "engagements": 3,
                          "row_id": "row-3",
                          "views": 15
                        },
                        {
                          "content_type": "group-b",
                          "date": "2026-10-04",
                          "engagements": 4,
                          "row_id": "row-4",
                          "views": 30
                        }
                      ],
                      "items": {
                        "additionalProperties": false,
                        "properties": {
                          "content_type": {
                            "default": "",
                            "maxLength": 80,
                            "type": "string"
                          },
                          "date": {
                            "default": "",
                            "maxLength": 10,
                            "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
                            "type": "string"
                          },
                          "engagements": {
                            "maximum": 1000000000000,
                            "minimum": -1000000000000,
                            "type": [
                              "number",
                              "null"
                            ]
                          },
                          "row_id": {
                            "default": "",
                            "maxLength": 80,
                            "minLength": 1,
                            "type": "string"
                          },
                          "views": {
                            "maximum": 1000000000000,
                            "minimum": -1000000000000,
                            "type": [
                              "number",
                              "null"
                            ]
                          }
                        },
                        "required": [
                          "row_id",
                          "content_type",
                          "date",
                          "views",
                          "engagements"
                        ],
                        "type": "object"
                      },
                      "maxItems": 200,
                      "minItems": 1,
                      "type": "array"
                    }
                  },
                  "required": [
                    "rows"
                  ],
                  "type": "object"
                },
                "bodyType": {
                  "enum": [
                    "json",
                    "form-data",
                    "text"
                  ],
                  "type": "string"
                },
                "method": {
                  "enum": [
                    "POST"
                  ],
                  "type": "string"
                },
                "type": {
                  "const": "http",
                  "type": "string"
                }
              },
              "required": [
                "type",
                "method",
                "bodyType",
                "body"
              ],
              "type": "object"
            },
            "output": {
              "properties": {
                "example": {
                  "type": "object"
                },
                "type": {
                  "type": "string"
                }
              },
              "required": [
                "type"
              ],
              "type": "object"
            }
          },
          "required": [
            "input"
          ],
          "type": "object"
        }
      }
    },
    "lastUpdated": "2026-11-02T02:35:19.039Z",
    "quality": {
      "l30DaysTotalCalls": 5,
      "l30DaysUniquePayers": 1,
      "lastCalledAt": "2026-11-02T02:35:18.594Z"
    },
    "resource": "https://market.datapackvibe.com/x402/assistant-sector-analytics-content-engagement-normalise",
    "tags": [
      "ai",
      "sector-analytics",
      "workflow"
    ],
    "type": "http",
    "x402Version": 2
  },
  "source": "x402_bazaar",
  "summary": "Content engagement - String normalisation: String normalisation for Content engagement. Up to 200 supplied typed records. Local numeric and data-quality processing; no external enrichment or forecasting. One of 25 profiles or calculations across 20 shared operations in this sector. 0.01 USDC includes one bounded string normalisation deliverable."
}

What the leaf hashes

{"body":"1ea4d8b7b31d1deac53860dbbcb63adab89015b987068023bc943746d8a74c57","id":2217154,"kind":"listing","method":"sync.x402_bazaar/1","observed_us":1793647198474072,"prev":1796203,"subject":"x402_bazaar:https://market.datapackvibe.com/x402/assistant-sector-analytics-content-engagement-normalise","subject_kind":"source_record"}

Proof

Fold these into the leaf in order, hashing each sorted pair with keccak256, to reach the root of (444186 rows).

  1. 0x2da3971df8565cced3f280f59eae07bd7bd8232a3bb3135419f2b7da587251d0
  2. 0x9d68c7efea5540d265ff19252d846c020adab8aa70130a6e49213a9fdd590168
  3. 0x860af83edb99649b42525085a2a3961c65ba433dc3ab995e57491e64ff7e6826
  4. 0xa6ceba4755c4ac665078fd8464825fdd2ca66d9572baffca256e7d51757d7035
  5. 0x86cd3051726ebfe3fa04cb4f3f2e8daccef12da056428b85f521eef9a54080de
  6. 0x55b7f3092afd70161a8cddf8e1e35700a2a56163572f6956a029f89b4e7dde99
  7. 0x334bce7a884fc67ab5bbc555c01ff0da06fdc087280642c750d9818751b4da8a
  8. 0x69995abf27f62c7151cf532b5b04862eb9338c232881b1d5c3f7d92f67315c26
  9. 0xc5fa3bd39b6f939ad2f07327b9e2f20fdd4cb88642ad0c5164de93ce1f6632b9
  10. 0xa91ee2c8873062997bf3829cf2d0948b6d4805e65a2e2257084a20696fd1bd25
  11. 0xf841c7290e13c2f19f6233e2749504226882012e0f94bbd35c3af3acb819872c
  12. 0x26d664b9a64503faf3758ae1668259d0b90ae74690be3dfcdbce789134ec2455
  13. 0xf1aa667ce80c3cfa851957b2154c374229551d079e3666ba4d1ea5e32bfbe79b
  14. 0x037a66c2ea899586d58b52761f6b950a97cda22bb80294e40013ebea171a684f
  15. 0x9cb76be6423133397c3da69f801d6af35dcce77b458aa17bd796c877ed7bc8fd
  16. 0xd42916b5c6441e9c8d91ff91715af1489cb83dee26d47e7da107caa4d2a68b65
  17. 0xa20b9be86af7d690e040c9060a373b2fc5498edf3432f43c26f74fa2febc1e9a
  18. 0x050f2978b537f7afb21ee1551577cdf146d1c56f4df12d24315ae5e69366b0a4
  19. 0x365b161a4b68d750dcc4b3ecce1154a2163c87b08762079428e68f0ebb6a754e
Day root
0x78fecaabbe319e56f5c4b80fc02e2052e198ad24781da8832a475ff65f2002d1
Chained
0xdc35957db5d1371ca382b9152878ffece28ec7c5cb4f98fd71ddb367f8b999b2
Published
On Arc Testnet, block 70432815: 0x56b814612eb2e3e544153df3e91e1f7199106d1e430c7d8c6b653feeb9ebe9af

How to check it · This row as JSON