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Evidence row 1278275

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
None: the first of its kind about this subject
Body SHA-256
12f14ab99f880ed4be83bcda0c39b2682721cdc90234328cd959c94832affa04
Leaf
0x41dcea477549ee61d05ffc7ec9c4489bc1c8209718f37782a731ce54923ff376

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": "2026-10-29T19:42:39.789Z",
    "quality": {
      "l30DaysTotalCalls": 2,
      "l30DaysUniquePayers": 1,
      "lastCalledAt": "2026-10-29T19:42:39.593Z"
    },
    "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":"12f14ab99f880ed4be83bcda0c39b2682721cdc90234328cd959c94832affa04","id":1278275,"kind":"listing","method":"sync.x402_bazaar/1","observed_us":1793385883956825,"prev":null,"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 (243099 rows).

  1. 0x41dccad528d27293a01ff40fa6cc7a3f98e49dcb631276f5d8c1fcac3fc42c9a
  2. 0x20dce7b13991b21450e5d18f1540a759dadb44295eb5eef493c955e3b495a950
  3. 0x91d142e06f9b0d01ecfc722fadec3cc05bb5ab9e076579c6bee38dc6585cc7e7
  4. 0x038b3ba4bf941463b7e5776ca15cdc9eadafd49d2b5d2a675587782f113e74fc
  5. 0x7c9273fa7e12480456534f4104cb3079e51fea2a5c703b9a576120f3badb3098
  6. 0x1e5fa1763bc0269bfbf036754a09c60dd15205d4b917a63ab683faf6b37f5937
  7. 0x85e70210b2a95115eddaab2354227e97ae1585ba11f818f97521f6d0b4381987
  8. 0x365bcb4856c5d5d54a76c745756efe84e241ddec0a99d85fa44d1ab2c4d2e038
  9. 0x4b9be63cd6a4d6ab50c0de8b521e7b1f021f6732fe44af6bd250c07461c3ee9b
  10. 0x9fe8294ee4a6d0a988fa396935605dfd1ec0024d613caa99ca035ab311b4d10d
  11. 0xac52ca85ee0e546f6da752e914e5b4ea74d38a0e50e939ff98116240aa7fff65
  12. 0xe226567c96df43c9ffa01238eb3aea9c0de478ff057d56848a0462858afad839
  13. 0xcc206dc2f9e188db598d4b3a17da47efe415d2946ef4b3a478b5d02f3ddb1474
  14. 0x775f1cf1eda93a75a3d05aa8e7b45b258d1de91c21741301b1aa3d048fba588c
  15. 0xd7d5c71ec079257a487d0494049c896f97cf8bf7d89a43fea539777c548c96f3
  16. 0x50ca74d7c8f26a46e9c3b8fb5e7f9ebcdfdcc1b7c863db3b6d2b7c12e24ca66f
  17. 0xb0c9ef42e725578748f3119c9dbebf2fc437266bda013df29f98ed3ebe621403
  18. 0x30a81d8fcef4e8f9e2877c62796cfc5612fc1b251127d531dee28f8dbd5c5147
Day root
0x0826c7ad6039e06a2360ca0a4a3a4fe7f2626c6dc19f71a37599386f78b39875
Chained
0x36b4c8a1063758f0b8765fa1bdf75fa92fb543cc183add3e261880ee2bd1f822
Published
On Arc Testnet, block 69923247: 0x8704744146c6967c8abc9e9a99de4db7283b29e840922ea83a69b6fe776e6861

How to check it · This row as JSON