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Evidence row 1516152

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
#1278275
Body SHA-256
2ba7b5100105b0e31fb784e7ad65baf08dd6ddae5b8dd19f4bb8dc2a026132ab
Leaf
0x0c2bdc712a3bc67facff6d55df4201eecd0cce819209f983ebc361f9e9965881

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": "2026-10-31T10:37:05.961Z",
    "quality": {
      "l30DaysTotalCalls": 3,
      "l30DaysUniquePayers": 1,
      "lastCalledAt": "2026-10-31T10:37:05.675Z"
    },
    "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":"2ba7b5100105b0e31fb784e7ad65baf08dd6ddae5b8dd19f4bb8dc2a026132ab","id":1516152,"kind":"listing","method":"sync.x402_bazaar/1","observed_us":1793472957918655,"prev":1278275,"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 (246033 rows).

  1. 0x0c2b64d6f9194d535616cc58df5a41665298c459f468cf1388dbc397c496083d
  2. 0x640c4217f30991a976d20ffbccaf4106edbdd46461969f26708ea379a772930d
  3. 0x518048fb3764a311a9dd3e2236296e68e8552977ee619c4f96760b3f881050d4
  4. 0x78d0e1320146350f8bd4bc800bce3c631c7c70e42965a8c6f39281f9f541ded0
  5. 0x69b363b8f0b5b9bb5f7a98b76e96cc1afc41b7f710656e073db872bbf3c83fae
  6. 0x7bfcbc3537614ba38b74c2beebd1bf393de86077a4f6524f91b8ed4e214c34b7
  7. 0x9ef0fc329242f5bb8f01d9360f5be5d7063f72c99ebbf6f8e8ae608b9eb31223
  8. 0xaeaf2012f8cac3ed328232a7332e602c376d28805ad60c61f77624600a1db3ea
  9. 0x8bd6bbcf231514eda733062d801416da7d301ada5c2f93d847b68dfa1fba7651
  10. 0x069170b3d566c6881db616faedb52999208e6911d777ab983dd7d513a1e4940e
  11. 0x84bc3321c25b2b93e3cc858538fd0f13b7dae893f6f62cd87c66a4ab49ed06d6
  12. 0x0e7c19f6e7bd242049d24eac9ffa226a36b32ea4e4fee5c033e0fbf08ae0b65e
  13. 0x232f8590881ea4921512fc0756dcc829d8993faf60aefe4803b3883808832315
  14. 0x5f01ce2f7be13617b127cba8dfc54bc12d54dc74dbe1632c8104af22668fd4f3
  15. 0x72fbe549c493739bb99e38209648de550f136f904e61b4f7609a937c2630a055
  16. 0x2bca4aa3c59fe9209016c64bd8b706423477e3407201a00165afde9abf6fee2b
  17. 0x37f13582abb3c002d51c2f190c312129cbc3a39754618fee2c75c2441bb1eb94
  18. 0x59f83f7228f07febe2780660e422e171b0359b8aa031ee3be07e991118130c15
Day root
0x24463725d1c0d9894bd6123691d532547aaa79f0762c0e45aa6a68acf1fd71ab
Chained
0x7d4824ff313dee7252a46f9d5c37b452851deb6c9f24a40c2f74ee0e53c82980
Published
On Arc Testnet, block 70093156: 0xedb7b832f4ebf6781b5ecd2ed241c435b862f4d3761541fa31adc1831b8c44a0

How to check it · This row as JSON