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Evidence row 116181

Observed , by baseline/1.

Kind
listing
About
source_record x402_bazaar:https://market.datapackvibe.com/x402/assistant-sector-ml-training-question-aggregate-scores
Recorded
Previous row
None: the first of its kind about this subject
Body SHA-256
07d1ac0b8d12a384d0341282cae003b110f27671e2b20ed2a529b2ffb4f2c0bc
Leaf
0x837fd89a6c5c4417716ee684f417be4020ccaf88e6fb6f604d84fb9d1074d6b1

What was observed

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  ],
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  "owner_address": "0x8bc2aecdd86097f74a1a5fa17764108d9a683c8c",
  "raw": {
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        "extra": {
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        "network": "eip155:8453",
        "payTo": "0x8bc2AECdD86097F74a1a5fa17764108D9a683C8C",
        "scheme": "exact"
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    ],
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    "extensions": {
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                },
                {
                  "actual": "concept",
                  "id": "example-0-1",
                  "predicted": "concept",
                  "text": "concept sample document number 1 for this supplied dataset."
                },
                {
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                  "id": "example-0-2",
                  "predicted": "concept",
                  "text": "concept sample document number 2 for this supplied dataset."
                },
                {
                  "actual": "procedure",
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                  "predicted": "procedure",
                  "text": "procedure sample document number 0 for this supplied dataset."
                },
                {
                  "actual": "procedure",
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                },
                {
                  "actual": "assessment",
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                  "predicted": "assessment",
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                {
                  "actual": "assessment",
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                  "predicted": "assessment",
                  "text": "assessment sample document number 2 for this supplied dataset."
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              ]
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              "sku": "assistant-sector-ml-training-question-aggregate-scores",
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            },
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                          "predicted": "procedure",
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                          },
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                            "minLength": 1,
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                          "predicted": {
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                        },
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                      },
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                  },
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                },
                "bodyType": {
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                },
                "method": {
                  "enum": [
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                  ],
                  "type": "string"
                },
                "type": {
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              },
              "required": [
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                "method",
                "bodyType",
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          },
          "required": [
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          "type": "object"
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    },
    "lastUpdated": "2026-10-25T17:03:57.083Z",
    "quality": {
      "l30DaysTotalCalls": 2,
      "l30DaysUniquePayers": 1,
      "lastCalledAt": "2026-10-25T17:03:56.867Z"
    },
    "resource": "https://market.datapackvibe.com/x402/assistant-sector-ml-training-question-aggregate-scores",
    "tags": [
      "ai",
      "sector-ml",
      "workflow"
    ],
    "type": "http",
    "x402Version": 2
  },
  "source": "x402_bazaar",
  "summary": "Training question - Macro micro and weighted scores: Macro micro and weighted scores 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 macro micro and weighted scores deliverable."
}

What the leaf hashes

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Proof

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

  1. 0x837f97f0cca86edbb357d3a57d67b73f2aa3b77053aaae5866342964a73c7079
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  4. 0x3b96d7e81628b0a6f4878e9c44b81abf63e297ddfd7991e24374dcab7d076e5d
  5. 0xd036b93d0bfc9b31199ab26511548e80f4e9e832e73bd6288dd5ca746ce47453
  6. 0x7aa64af2f3113c5f05035a5e977bde7ff22bed434360efeb9e2e6a6536113015
  7. 0xa68ff86010d83b17bf4a0dbcbbaa946e0b933eaa6589d5a748789acf4b87429c
  8. 0x058ee74ee539bece0e8a4cc425e7f88e58fd7277c2078844a7e189ac1582c858
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  10. 0xee19b1ec06299bfa7d1996bbbc62f4c302304457b0e425812bc2df6d4ce7c782
  11. 0x6e037384448a2bbd201b4e7e9e6e447d7254d0d2926b3fd2e81fdf99eae4a06b
  12. 0xfdaa032291ded0df2cf35d6e9dc6e7a2643d0fe027dd3ab321971f1f7bf69147
  13. 0x91c2ae93ec20c7fed5088112fe3941ca622dfb3f8f1022c4844726c361244bd4
  14. 0x0eff463856b0992d53ab7d8c0b97c71541413358bdd445710c1e4b6aeb4d8f78
  15. 0x7eb603d37f0f22dae1ea013e391889906ffc0139ff26e25b044bee38eec8f9b2
  16. 0x2b6e23e3624a1b66e1d2298cfbce99a93ce6b13d24a58112a71802d79c5f7a76
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  19. 0x9b9ce5b74b9bab5121612ef6b64920a8d453cbf311096a423eef9702747e868a
Day root
0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8
Chained
0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a
Published
On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae

How to check it · This row as JSON