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Evidence row 1796203

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
#1516152
Body SHA-256
0a0d18cb99cc6eb95764d61ee86157da733c2c13aaf04bf00c1aba51a1b9e23a
Leaf
0xa780899b8507b028ea6a1de40ff9a0bcf6e489df94083984c093180370c7de91

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": "2026-11-01T17:24:42.862Z",
    "quality": {
      "l30DaysTotalCalls": 4,
      "l30DaysUniquePayers": 1,
      "lastCalledAt": "2026-11-01T17:24:42.613Z"
    },
    "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":"0a0d18cb99cc6eb95764d61ee86157da733c2c13aaf04bf00c1aba51a1b9e23a","id":1796203,"kind":"listing","method":"sync.x402_bazaar/1","observed_us":1793560092761306,"prev":1516152,"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 (302406 rows).

  1. 0xa780b5567e174144a861d1be614aa026a752dda912ef23414bc6001b0392936f
  2. 0xae038cd45f12a91a39dafc04dd955e9bb0f52da3712053009255df0b8bdd3ec2
  3. 0x68626ace0ea0a09330812c1ded8030ebe34527a88965138ca6dbbb800925b165
  4. 0x88014aad091d98e18341b77f533b905d47efb3e16694fda3cb02492c826cbd5f
  5. 0x5332e449611b542968596475f11393be65494edf2ce6670fa04a7404fc244362
  6. 0x70be6219e35ed8b7b317349782288e5bb5cb13b415ad59fc7b96727cdc3d79e4
  7. 0x29127cd7b8c9165a1ad4c0c6500789336838841f6fb756ff18aa902a8d92c845
  8. 0x34403901c81456f28789f0d2b7b94c9de1907717a02274b572d38f3b1a75a4f9
  9. 0x57f764f6c7af0642edd43269329f024d2cc77197844a4d9facbdb823a43f6fc9
  10. 0xedd69097e4dd8df81df3b223ab2fe377595f6b96488c21dbc9aa218dccf92368
  11. 0xe460e2458b6f8dd593b34df4051783263ae38f7e4168ff916d22f0746ba600e4
  12. 0xd209e5d1518fb161264f3e389a6c577acbd29192c17c80c9ec8ed9b83503cb0a
  13. 0xefff7a00a0f698242a4fbb4741471facf8a07aac283a6d0c44a87bf4a988152e
  14. 0x110c6c21e77668de1becd70345e909cedabda185c5eca2a47425fab10ef478be
  15. 0xc88d127644e311620e3bcad9c976ab2c79963799278768230b1762de9b7cd724
  16. 0x8339aa87501c4d4f8b38a13e480a7c563957e09fb5711bed7cf189d6787f960d
  17. 0xb5916fb7a3e87dc0702e46eeadcd22652e2e1e755f8d429cc7a14a67a350b51b
  18. 0x6142ac48fda269c17791c79da99c2456ac6acfe98268f4d168a404fd6040c703
  19. 0x3315fd2757fdd435852cc277377234a3f3909a6d2a089d0e36f6d59aacfda910
Day root
0x7fa2cba1cf3d6b35630896f5fe1a650adb307ea2c376e80a5f2d9276b7cb5ab3
Chained
0x577ff89ba012beeff3197bcff7fa86752074bdf54205a24359cc437be2a952a4
Published
On Arc Testnet, block 70262758: 0x435bc1b9331471d72e1998f2e420983b5189d4da65ffbd6f27ef40daf5e1ea90

How to check it · This row as JSON