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Evidence row 2668723

Observed , by sync.x402_bazaar/1.

Kind
listing
About
source_record x402_bazaar:https://market.datapackvibe.com/x402/assistant-ib26-economics-05-204
Recorded
Previous row
#2232098
Body SHA-256
6a7b9dfe2377509c168f29f0f440ef64e4d20de354f1258ce4c6fd51b7916fbc
Leaf
0x62ca8da481323cfefad961f47a35724de42bb7ec359f890d39e9e48d251d5c62

What was observed

{
  "endpoints": [
    [
      "x402",
      "https://market.datapackvibe.com/x402/assistant-ib26-economics-05-204"
    ]
  ],
  "name": "market.datapackvibe.com/x402/assistant-ib26-economics-05-204",
  "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": "Transport ridership — Record quality audit + String normalisation + Two-measure correlation: Record quality audit + String normalisation + Two-measure correlation for supplied transport ridership records (passenger_count, service_count). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.",
    "extensions": {
      "bazaar": {
        "info": {
          "input": {
            "body": {
              "rows": [
                {
                  "date": "2026-10-01",
                  "passenger_count": 10,
                  "region": "group-a",
                  "row_id": "row-1",
                  "service_count": 1
                },
                {
                  "date": "2026-10-02",
                  "passenger_count": 20,
                  "region": "group-b",
                  "row_id": "row-2",
                  "service_count": 2
                },
                {
                  "date": "2026-10-03",
                  "passenger_count": 15,
                  "region": "group-a",
                  "row_id": "row-3",
                  "service_count": 3
                },
                {
                  "date": "2026-10-04",
                  "passenger_count": 30,
                  "region": "group-b",
                  "row_id": "row-4",
                  "service_count": 4
                }
              ]
            },
            "bodyType": "json",
            "method": "POST",
            "type": "http"
          },
          "output": {
            "example": {
              "files": [],
              "order_id": "ord_example",
              "result": {
                "completed": true,
                "workflow": "ib26-economics-05-204"
              },
              "sku": "assistant-ib26-economics-05-204",
              "status": "delivered"
            },
            "type": "json"
          }
        },
        "schema": {
          "$schema": "https://json-schema.org/draft/2020-12/schema",
          "properties": {
            "input": {
              "additionalProperties": false,
              "properties": {
                "body": {
                  "additionalProperties": false,
                  "properties": {
                    "rows": {
                      "default": [
                        {
                          "date": "2026-10-01",
                          "passenger_count": 10,
                          "region": "group-a",
                          "row_id": "row-1",
                          "service_count": 1
                        },
                        {
                          "date": "2026-10-02",
                          "passenger_count": 20,
                          "region": "group-b",
                          "row_id": "row-2",
                          "service_count": 2
                        },
                        {
                          "date": "2026-10-03",
                          "passenger_count": 15,
                          "region": "group-a",
                          "row_id": "row-3",
                          "service_count": 3
                        },
                        {
                          "date": "2026-10-04",
                          "passenger_count": 30,
                          "region": "group-b",
                          "row_id": "row-4",
                          "service_count": 4
                        }
                      ],
                      "items": {
                        "additionalProperties": false,
                        "properties": {
                          "date": {
                            "default": "",
                            "maxLength": 10,
                            "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
                            "type": "string"
                          },
                          "passenger_count": {
                            "maximum": 1000000000000,
                            "minimum": -1000000000000,
                            "type": [
                              "number",
                              "null"
                            ]
                          },
                          "region": {
                            "default": "",
                            "maxLength": 80,
                            "type": "string"
                          },
                          "row_id": {
                            "default": "",
                            "maxLength": 80,
                            "minLength": 1,
                            "type": "string"
                          },
                          "service_count": {
                            "maximum": 1000000000000,
                            "minimum": -1000000000000,
                            "type": [
                              "number",
                              "null"
                            ]
                          }
                        },
                        "required": [
                          "row_id",
                          "region",
                          "date",
                          "passenger_count",
                          "service_count"
                        ],
                        "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": "2026-11-03T12:59:33.961Z",
    "quality": {
      "l30DaysTotalCalls": 4,
      "l30DaysUniquePayers": 1,
      "lastCalledAt": "2026-11-03T12:59:33.295Z"
    },
    "resource": "https://market.datapackvibe.com/x402/assistant-ib26-economics-05-204",
    "tags": [
      "ai",
      "economic-research",
      "workflow"
    ],
    "type": "http",
    "x402Version": 2
  },
  "source": "x402_bazaar",
  "summary": "Transport ridership — Record quality audit + String normalisation + Two-measure correlation: Record quality audit + String normalisation + Two-measure correlation for supplied transport ridership records (passenger_count, service_count). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows."
}

What the leaf hashes

{"body":"6a7b9dfe2377509c168f29f0f440ef64e4d20de354f1258ce4c6fd51b7916fbc","id":2668723,"kind":"listing","method":"sync.x402_bazaar/1","observed_us":1793735175119532,"prev":2232098,"subject":"x402_bazaar:https://market.datapackvibe.com/x402/assistant-ib26-economics-05-204","subject_kind":"source_record"}

Proof

Fold these into the leaf in order, hashing each sorted pair with keccak256, to reach the root of (425475 rows).

  1. 0x62cab863be298711c10090f346f9de440fa6fcf64ff66253eb38deb82f2b59c8
  2. 0xe7a5330b61d0d937760c2e331d75427dd87717e545c9555c0a125bfffb15d280
  3. 0x31ead86bbbe3d28d5259dc9c12ada9a8d021db67e888ff410103d905a17b3551
  4. 0xae320fb0d65ccdbf9fbaae5c04d7b7f80ca60fcd8634a18221f68c1ec814a32f
  5. 0x38e4937f5932dd5bff4da79e4a0fd0702d41ebbd6e03491f2b26ddadfee36da9
  6. 0x162d98578fc1432f822d2e76eb9485a8381c67200acb65a414c457fd21e7ef12
  7. 0xa25956c5c6f9e8a568b186d1785aabfadf58896be1c97910255aa14cb9151432
  8. 0x9525e2941e869cd6623b665890c5f0b85a9977c93c55e758e62c53a9d5f7fce4
  9. 0x30c6ad8a9c2038d056aeb6bb00c4c20bbd36e639842e18a0153724ac7661f1e6
  10. 0xc9868690b767fe877d361b626668677c8c2a58cd4bea992d94f485cb9a35ae63
  11. 0x138d9878c409be740a9266ed7c815a21c5ab39fe9c1d60380b62f2003ac938c6
  12. 0x9e1a291abc134f2f4b03ec8cdf7eb3a9ec9b04abd42813940f072904597540f8
  13. 0x935aada10f117485a9e2b905a05d3c89c0ea4c0d9218f126f2818246c6d7a5f8
  14. 0x7888f4af6f2ce9e8a2789d6262f3507d19501a0a365770aaf709515f60b6e8f2
  15. 0xa8458bc8c8ab1d4945ab9da0d4203ddba2468a0fef808e9febae01e3e86bcd40
  16. 0x4f2735e4d41cb2a5d48f6769cc066ea1066bbcd0623dd42fe7bc81e54092cd64
  17. 0x3ef2d6c56d2bc5990e646c07605e90ed24d1c642cbcca8f60a35422b8b7981ee
  18. 0x717b5d7cbc24826c5b1f7b7433bf30b76e9ba1370476af4e1b494a5211897cc3
  19. 0xe35032d4b064b015fe60638756eeb0bc24e7c7943586468d33349341ee0ed3d6
Day root
0xb646ffa569e24bf8336b0a15a9d98d0a2f1239f58e10c2b18a9d22e43343566a
Chained
0x35e926359fd19031c6b5e08fb3b44f2524386a57c8fdd353336c185603f53d43
Published
On Arc Testnet, block 70601990: 0xa5f9dadba13cde129126b950e64b815e6833cb8ff53b75026c9dbe769c3768c7

How to check it · This row as JSON