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Evidence row 115895

Observed , by baseline/1.

Kind
listing
About
source_record x402_bazaar:https://market.datapackvibe.com/x402/assistant-sector-analytics-recruitment-funnel-quality
Recorded
Previous row
None: the first of its kind about this subject
Body SHA-256
9621cc534a7e9de8778845a9616827d529af19c9be7fa3c5983784656e8c193c
Leaf
0x92d8f7a101a6e7433a07c1197c9737aa97aea44366fc2d926297b89d45ad94ff

What was observed

{
  "endpoints": [
    [
      "x402",
      "https://market.datapackvibe.com/x402/assistant-sector-analytics-recruitment-funnel-quality"
    ]
  ],
  "name": "market.datapackvibe.com/x402/assistant-sector-analytics-recruitment-funnel-quality",
  "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": "Recruitment funnel - Record quality audit: Record quality audit for Recruitment funnel. 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 record quality audit deliverable.",
    "extensions": {
      "bazaar": {
        "info": {
          "input": {
            "body": {
              "rows": [
                {
                  "applications": 10,
                  "date": "2026-10-01",
                  "interviews": 1,
                  "row_id": "row-1",
                  "source": "group-a"
                },
                {
                  "applications": 20,
                  "date": "2026-10-02",
                  "interviews": 2,
                  "row_id": "row-2",
                  "source": "group-b"
                },
                {
                  "applications": 15,
                  "date": "2026-10-03",
                  "interviews": 3,
                  "row_id": "row-3",
                  "source": "group-a"
                },
                {
                  "applications": 30,
                  "date": "2026-10-04",
                  "interviews": 4,
                  "row_id": "row-4",
                  "source": "group-b"
                }
              ]
            },
            "bodyType": "json",
            "method": "POST",
            "type": "http"
          },
          "output": {
            "example": {
              "files": [],
              "order_id": "ord_example",
              "result": {
                "completed": true,
                "workflow": "sector-analytics-recruitment-funnel-quality"
              },
              "sku": "assistant-sector-analytics-recruitment-funnel-quality",
              "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": [
                        {
                          "applications": 10,
                          "date": "2026-10-01",
                          "interviews": 1,
                          "row_id": "row-1",
                          "source": "group-a"
                        },
                        {
                          "applications": 20,
                          "date": "2026-10-02",
                          "interviews": 2,
                          "row_id": "row-2",
                          "source": "group-b"
                        },
                        {
                          "applications": 15,
                          "date": "2026-10-03",
                          "interviews": 3,
                          "row_id": "row-3",
                          "source": "group-a"
                        },
                        {
                          "applications": 30,
                          "date": "2026-10-04",
                          "interviews": 4,
                          "row_id": "row-4",
                          "source": "group-b"
                        }
                      ],
                      "items": {
                        "additionalProperties": false,
                        "properties": {
                          "applications": {
                            "maximum": 1000000000000,
                            "minimum": -1000000000000,
                            "type": [
                              "number",
                              "null"
                            ]
                          },
                          "date": {
                            "default": "",
                            "maxLength": 10,
                            "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
                            "type": "string"
                          },
                          "interviews": {
                            "maximum": 1000000000000,
                            "minimum": -1000000000000,
                            "type": [
                              "number",
                              "null"
                            ]
                          },
                          "row_id": {
                            "default": "",
                            "maxLength": 80,
                            "minLength": 1,
                            "type": "string"
                          },
                          "source": {
                            "default": "",
                            "maxLength": 80,
                            "type": "string"
                          }
                        },
                        "required": [
                          "row_id",
                          "source",
                          "date",
                          "applications",
                          "interviews"
                        ],
                        "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": "2026-10-25T08:06:09.605Z",
    "quality": {
      "l30DaysTotalCalls": 2,
      "l30DaysUniquePayers": 1,
      "lastCalledAt": "2026-10-25T08:06:09.36Z"
    },
    "resource": "https://market.datapackvibe.com/x402/assistant-sector-analytics-recruitment-funnel-quality",
    "tags": [
      "ai",
      "sector-analytics",
      "workflow"
    ],
    "type": "http",
    "x402Version": 2
  },
  "source": "x402_bazaar",
  "summary": "Recruitment funnel - Record quality audit: Record quality audit for Recruitment funnel. 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 record quality audit deliverable."
}

What the leaf hashes

{"body":"9621cc534a7e9de8778845a9616827d529af19c9be7fa3c5983784656e8c193c","id":115895,"kind":"listing","method":"baseline/1","observed_us":1793025608717815,"prev":null,"subject":"x402_bazaar:https://market.datapackvibe.com/x402/assistant-sector-analytics-recruitment-funnel-quality","subject_kind":"source_record"}

Proof

Fold these into the leaf in order, hashing each sorted pair with keccak256, to reach the root of (296695 rows).

  1. 0x92d90634904c77cc07b8ee95e767bf90c4387f8f143abddfda98554973fed802
  2. 0x2537f7b0e1e8b80c1340f8dd81b833bd8964af2b6fcdb30f23ec884e727ca064
  3. 0x3ebb597bec6df9fdca20c42bd3b793e8c13c15703ffedf78f2cbe21ced83acf6
  4. 0xcdfd57956ae1afdcb3edd6fc9159f1c94c607b18a35311eef09c9b97bef53164
  5. 0x55dcca354979667087e6d0f7d66581f7801f6e31639d2aef9796b6df436f2b92
  6. 0x6d631b5c43fbe706c31720bf62898223655c86071c89d791089c8014913b7d64
  7. 0xa420eb511a1acbd306988f6f6981e802a6274ef8f823be1c722023f2f87a58b4
  8. 0xa7b7745edf0e67456b4d64204f82d5f848516f5c3ca8ae256d2bcb1ee3791313
  9. 0x33c2e8cbe30323fb7770e08c1a773f3f7d61c5b6aa099e9ad5405eb29cecfc02
  10. 0x8a45c6c1da5d073416437d0946f0ab55916b463036f2f88da85a39961d6874d8
  11. 0xdcd590752acb338329aec3087ddc69ef4b8fcbe0bb91a9b8e37e17c10a9dfe92
  12. 0x3b55f6d5345bce3e1332e014f19526d25328fb6283d3518837a015c3621c0d1c
  13. 0x45c1d3062bbe98a6b1540c7e2ccf6516eedd6ef07fdfeb1ba77ee6272970447c
  14. 0xf0edabbb9ba0d643e5505d19d07637eb6f6aed0a1c7356af43ae7d84ae9ef0c5
  15. 0xf0bd63870f0bb378fa300bd33563050dcb7b3e02b44eb3ee550c1c534ec4b246
  16. 0x1ac20d30773e1f4f2f811540e9a99b5cca9177c9e2e029acc0d80cf3f1d11f0f
  17. 0xd21942ae3214eff88e08ab04884fd4b11958b51af9a0741b7668e2d07a2c56c9
  18. 0x9a9024edb5069d88a324facb310a5ce8e495214bbaa968f077bede437390194f
  19. 0x9b9ce5b74b9bab5121612ef6b64920a8d453cbf311096a423eef9702747e868a
Day root
0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8
Chained
0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a
Published
On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae

How to check it · This row as JSON