addrbookFor publishers
← The evidence ledger

Evidence row 206347

Observed , by sync.x402_bazaar/1.

Kind
listing
About
source_record x402_bazaar:https://market.datapackvibe.com/x402/assistant-sector-ml-training-question-label-balance
Recorded
Previous row
None: the first of its kind about this subject
Body SHA-256
f433196343bc2fda1ad49588e6a00d3e23faef0db8157395b43405d39ed3cfa2
Leaf
0x373d014afab50c0d736d8686e30cbc21cdf8602007164ccf9dab2d63e99c0b50

What was observed

{
  "endpoints": [
    [
      "x402",
      "https://market.datapackvibe.com/x402/assistant-sector-ml-training-question-label-balance"
    ]
  ],
  "name": "market.datapackvibe.com/x402/assistant-sector-ml-training-question-label-balance",
  "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": "Training question - Label distribution: Label distribution for Training question. Up to 200 supplied labelled text records. Local dataset tools, evaluation and small naive-Bayes baselines; no hosted model or foundation-model training. One of 25 profiles or calculations across 20 shared operations in this sector. 0.01 USDC includes one bounded label distribution deliverable.",
    "extensions": {
      "bazaar": {
        "info": {
          "input": {
            "body": {
              "records": [
                {
                  "actual": "concept",
                  "id": "example-0-0",
                  "text": "concept sample document number 0 for this supplied dataset."
                },
                {
                  "actual": "concept",
                  "id": "example-0-1",
                  "text": "concept sample document number 1 for this supplied dataset."
                },
                {
                  "actual": "concept",
                  "id": "example-0-2",
                  "text": "concept sample document number 2 for this supplied dataset."
                },
                {
                  "actual": "procedure",
                  "id": "example-1-0",
                  "text": "procedure sample document number 0 for this supplied dataset."
                },
                {
                  "actual": "procedure",
                  "id": "example-1-1",
                  "text": "procedure sample document number 1 for this supplied dataset."
                },
                {
                  "actual": "procedure",
                  "id": "example-1-2",
                  "text": "procedure sample document number 2 for this supplied dataset."
                },
                {
                  "actual": "example",
                  "id": "example-2-0",
                  "text": "example sample document number 0 for this supplied dataset."
                },
                {
                  "actual": "example",
                  "id": "example-2-1",
                  "text": "example sample document number 1 for this supplied dataset."
                },
                {
                  "actual": "example",
                  "id": "example-2-2",
                  "text": "example sample document number 2 for this supplied dataset."
                },
                {
                  "actual": "assessment",
                  "id": "example-3-0",
                  "text": "assessment sample document number 0 for this supplied dataset."
                },
                {
                  "actual": "assessment",
                  "id": "example-3-1",
                  "text": "assessment sample document number 1 for this supplied dataset."
                },
                {
                  "actual": "assessment",
                  "id": "example-3-2",
                  "text": "assessment sample document number 2 for this supplied dataset."
                }
              ]
            },
            "bodyType": "json",
            "method": "POST",
            "type": "http"
          },
          "output": {
            "example": {
              "files": [],
              "order_id": "ord_example",
              "result": {
                "completed": true,
                "workflow": "sector-ml-training-question-label-balance"
              },
              "sku": "assistant-sector-ml-training-question-label-balance",
              "status": "delivered"
            },
            "type": "json"
          }
        },
        "schema": {
          "$schema": "https://json-schema.org/draft/2020-12/schema",
          "properties": {
            "input": {
              "additionalProperties": false,
              "properties": {
                "body": {
                  "additionalProperties": false,
                  "properties": {
                    "records": {
                      "default": [
                        {
                          "actual": "concept",
                          "id": "example-0-0",
                          "text": "concept sample document number 0 for this supplied dataset."
                        },
                        {
                          "actual": "concept",
                          "id": "example-0-1",
                          "text": "concept sample document number 1 for this supplied dataset."
                        },
                        {
                          "actual": "concept",
                          "id": "example-0-2",
                          "text": "concept sample document number 2 for this supplied dataset."
                        },
                        {
                          "actual": "procedure",
                          "id": "example-1-0",
                          "text": "procedure sample document number 0 for this supplied dataset."
                        },
                        {
                          "actual": "procedure",
                          "id": "example-1-1",
                          "text": "procedure sample document number 1 for this supplied dataset."
                        },
                        {
                          "actual": "procedure",
                          "id": "example-1-2",
                          "text": "procedure sample document number 2 for this supplied dataset."
                        },
                        {
                          "actual": "example",
                          "id": "example-2-0",
                          "text": "example sample document number 0 for this supplied dataset."
                        },
                        {
                          "actual": "example",
                          "id": "example-2-1",
                          "text": "example sample document number 1 for this supplied dataset."
                        },
                        {
                          "actual": "example",
                          "id": "example-2-2",
                          "text": "example sample document number 2 for this supplied dataset."
                        },
                        {
                          "actual": "assessment",
                          "id": "example-3-0",
                          "text": "assessment sample document number 0 for this supplied dataset."
                        },
                        {
                          "actual": "assessment",
                          "id": "example-3-1",
                          "text": "assessment sample document number 1 for this supplied dataset."
                        },
                        {
                          "actual": "assessment",
                          "id": "example-3-2",
                          "text": "assessment sample document number 2 for this supplied dataset."
                        }
                      ],
                      "items": {
                        "additionalProperties": false,
                        "properties": {
                          "actual": {
                            "enum": [
                              "concept",
                              "procedure",
                              "example",
                              "assessment"
                            ],
                            "type": "string"
                          },
                          "id": {
                            "default": "",
                            "maxLength": 80,
                            "minLength": 1,
                            "type": "string"
                          },
                          "text": {
                            "default": "",
                            "maxLength": 1000,
                            "type": "string"
                          }
                        },
                        "required": [
                          "id",
                          "text",
                          "actual"
                        ],
                        "type": "object"
                      },
                      "maxItems": 200,
                      "minItems": 2,
                      "type": "array"
                    }
                  },
                  "required": [
                    "records"
                  ],
                  "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": "2026-10-26T07:20:42.302Z",
    "quality": {
      "l30DaysTotalCalls": 2,
      "l30DaysUniquePayers": 1,
      "lastCalledAt": "2026-10-26T07:20:42.059Z"
    },
    "resource": "https://market.datapackvibe.com/x402/assistant-sector-ml-training-question-label-balance",
    "tags": [
      "ai",
      "sector-ml",
      "workflow"
    ],
    "type": "http",
    "x402Version": 2
  },
  "source": "x402_bazaar",
  "summary": "Training question - Label distribution: Label distribution for Training question. Up to 200 supplied labelled text records. Local dataset tools, evaluation and small naive-Bayes baselines; no hosted model or foundation-model training. One of 25 profiles or calculations across 20 shared operations in this sector. 0.01 USDC includes one bounded label distribution deliverable."
}

What the leaf hashes

{"body":"f433196343bc2fda1ad49588e6a00d3e23faef0db8157395b43405d39ed3cfa2","id":206347,"kind":"listing","method":"sync.x402_bazaar/1","observed_us":1793026345334891,"prev":null,"subject":"x402_bazaar:https://market.datapackvibe.com/x402/assistant-sector-ml-training-question-label-balance","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. 0x373d4882fe936dba2fdff0f559b49985a382aff43f3d8c443023ec2705209c59
  2. 0xd9d0063581e1bd10209dfe5c4c98f4f51e67b32ec8b9b0cbe66d0bab7094ed1f
  3. 0xfb51017b9750a1df6ec1be9a6999a4ef754af6ce5428a16db28f834d2b57ad7d
  4. 0xe1f5e20cbe5c0c62a1e09422eb6020c71ac40a1d4c13834fa5fd1e089a96fe04
  5. 0xe7bfe3146da245b686f94357dd57f77ad1e54bad76af15fddeab00cd9351a82a
  6. 0xc9dc528ef3f8a4ee65d288a34bd8dbdbc3c26a291b18c7d4a0fd3c8c4106b581
  7. 0xf26583d4b9530c185fcbd730abe3ffac684f3457898cdf353becb1495b6d3f20
  8. 0x283bca3eaba5d758df9c11614827cdcbbe3e19df80d98d17a3f15935e645bcc4
  9. 0x66b1af07a0e26a1edcd7d2309aa5399c260814b0544499e706ab7bb48928e348
  10. 0x8681b8a904a71605e6e13e7c5c8ece78e783c5629075c54dc57234a15410c0d8
  11. 0x92b5da9306740c6310c9590169e789efc810ad3fa152b365777b6395fec4767f
  12. 0x8b23d34f6cd746f123b1e4d09449280800a81e00febe1fd9224b6802057238d5
  13. 0xdfc7a920beab71e6882e75c57bf136a5354c4ea989a35108a69046bc62059090
  14. 0x4338355a835617a26aa0bfcc971e84eb030d84e2aa840e3c8af958921dd080c7
  15. 0x610738e0c43687aded83c613c73de8b5226c73c375858a167436461c522ea213
  16. 0x06d71bfa7d8b41d62c8836efc2c601e1cc3772d9453596b2ae4950887f3310ca
  17. 0x8c756542e482157df0c36464d75c937b845e4423dbbcfad08f0cf8d5a16b9a13
  18. 0x20704208aa6923d6b2450ef74ede87a6e0265d46447926038fe9506e9e154b2d
  19. 0x9b9ce5b74b9bab5121612ef6b64920a8d453cbf311096a423eef9702747e868a
Day root
0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8
Chained
0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a
Published
On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae

How to check it · This row as JSON