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Evidence row 116175

Observed , by baseline/1.

Kind
listing
About
source_record x402_bazaar:https://market.datapackvibe.com/x402/assistant-sector-ml-task-type-confusion
Recorded
Previous row
None: the first of its kind about this subject
Body SHA-256
dee48687cd9fe3862bd4b73262dc246e1906a0a9e4d7f8d372604dcd0941e6d6
Leaf
0x30cc65164eb0a4c2f80d3f5b0b9daafd7e191bfb6b3232c6ce35d7634e236cac

What was observed

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  ],
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  "owner_address": "0x8bc2aecdd86097f74a1a5fa17764108d9a683c8c",
  "raw": {
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      {
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        "maxTimeoutSeconds": 300,
        "network": "eip155:8453",
        "payTo": "0x8bc2AECdD86097F74a1a5fa17764108D9a683C8C",
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      }
    ],
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    "extensions": {
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                  "predicted": "research",
                  "text": "research sample document number 0 for this supplied dataset."
                },
                {
                  "actual": "research",
                  "id": "example-0-1",
                  "predicted": "research",
                  "text": "research sample document number 1 for this supplied dataset."
                },
                {
                  "actual": "research",
                  "id": "example-0-2",
                  "predicted": "research",
                  "text": "research sample document number 2 for this supplied dataset."
                },
                {
                  "actual": "writing",
                  "id": "example-1-0",
                  "predicted": "writing",
                  "text": "writing sample document number 0 for this supplied dataset."
                },
                {
                  "actual": "writing",
                  "id": "example-1-1",
                  "predicted": "writing",
                  "text": "writing sample document number 1 for this supplied dataset."
                },
                {
                  "actual": "writing",
                  "id": "example-1-2",
                  "predicted": "writing",
                  "text": "writing sample document number 2 for this supplied dataset."
                },
                {
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                  "id": "example-2-0",
                  "predicted": "analysis",
                  "text": "analysis sample document number 0 for this supplied dataset."
                },
                {
                  "actual": "analysis",
                  "id": "example-2-1",
                  "predicted": "analysis",
                  "text": "analysis sample document number 1 for this supplied dataset."
                },
                {
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                  "id": "example-2-2",
                  "predicted": "analysis",
                  "text": "analysis sample document number 2 for this supplied dataset."
                },
                {
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                  "id": "example-3-0",
                  "predicted": "implementation",
                  "text": "implementation sample document number 0 for this supplied dataset."
                },
                {
                  "actual": "implementation",
                  "id": "example-3-1",
                  "predicted": "implementation",
                  "text": "implementation sample document number 1 for this supplied dataset."
                },
                {
                  "actual": "implementation",
                  "id": "example-3-2",
                  "predicted": "implementation",
                  "text": "implementation sample document number 2 for this supplied dataset."
                }
              ]
            },
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            "method": "POST",
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          },
          "output": {
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              "result": {
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                "workflow": "sector-ml-task-type-confusion"
              },
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              "status": "delivered"
            },
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        },
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                          "actual": "research",
                          "id": "example-0-1",
                          "predicted": "research",
                          "text": "research sample document number 1 for this supplied dataset."
                        },
                        {
                          "actual": "research",
                          "id": "example-0-2",
                          "predicted": "research",
                          "text": "research sample document number 2 for this supplied dataset."
                        },
                        {
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                          "id": "example-1-0",
                          "predicted": "writing",
                          "text": "writing sample document number 0 for this supplied dataset."
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                        {
                          "actual": "writing",
                          "id": "example-1-1",
                          "predicted": "writing",
                          "text": "writing sample document number 1 for this supplied dataset."
                        },
                        {
                          "actual": "writing",
                          "id": "example-1-2",
                          "predicted": "writing",
                          "text": "writing sample document number 2 for this supplied dataset."
                        },
                        {
                          "actual": "analysis",
                          "id": "example-2-0",
                          "predicted": "analysis",
                          "text": "analysis sample document number 0 for this supplied dataset."
                        },
                        {
                          "actual": "analysis",
                          "id": "example-2-1",
                          "predicted": "analysis",
                          "text": "analysis sample document number 1 for this supplied dataset."
                        },
                        {
                          "actual": "analysis",
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                          "predicted": "analysis",
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                          "predicted": "implementation",
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                        {
                          "actual": "implementation",
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                        },
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                          "predicted": "implementation",
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                      ],
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                            "maxLength": 80,
                            "minLength": 1,
                            "type": "string"
                          },
                          "predicted": {
                            "enum": [
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                              "analysis",
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                      },
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                    }
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                "method": {
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                  "type": "string"
                },
                "type": {
                  "const": "http",
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                }
              },
              "required": [
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                "method",
                "bodyType",
                "body"
              ],
              "type": "object"
            },
            "output": {
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              "type": "object"
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          },
          "required": [
            "input"
          ],
          "type": "object"
        }
      }
    },
    "lastUpdated": "2026-10-23T03:02:31.788Z",
    "quality": {
      "l30DaysTotalCalls": 2,
      "l30DaysUniquePayers": 1,
      "lastCalledAt": "2026-10-23T03:02:28.358Z"
    },
    "resource": "https://market.datapackvibe.com/x402/assistant-sector-ml-task-type-confusion",
    "serviceName": "Task type - Confusion matrix",
    "tags": [
      "ai",
      "sector-ml",
      "workflow"
    ],
    "type": "http",
    "x402Version": 2
  },
  "source": "x402_bazaar",
  "summary": "Task type - Confusion matrix: Confusion matrix for Task type. 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 confusion matrix deliverable."
}

What the leaf hashes

{"body":"dee48687cd9fe3862bd4b73262dc246e1906a0a9e4d7f8d372604dcd0941e6d6","id":116175,"kind":"listing","method":"baseline/1","observed_us":1793025609372179,"prev":null,"subject":"x402_bazaar:https://market.datapackvibe.com/x402/assistant-sector-ml-task-type-confusion","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. 0x30cc72ab9a10420fcc7ffdeb40be67889b8a7c640d03daaee8cd0b87b96330c8
  2. 0x3fbe83b6cc48023638f5f9c0429600825a2b2ae0a56982b44621dae26a75f4c5
  3. 0x9a9a1dab8d94bfbc76c3b1a80f8e053d4fcf2ebd993dbadc69da96f5300363e5
  4. 0xbaa7ebe5d14e96e048e42c49d5926f9bfd730383c2f9f6ab13357d03de1927f2
  5. 0x87148078a2972ddc3544c0e19f4d575ba1857afd08e27cdef286f28315954bcd
  6. 0x5a2a00bd19a07bb7a56b85ed54eaffdcb2aaf9cf141ea953a400d53eb5bfc678
  7. 0x3dd7ab5faf3af8c849340fec7cd1f8308f6285bdeb06ba62e583c6022bf3ab59
  8. 0x6bedc6a901d3ff1db44562ca2e708efaf965ca0f1ca38c9335892096cb0b58db
  9. 0x25ba1b9145475ea9ef33090e367d91a0fd38d074fef51cf5ad78e396de8c39ee
  10. 0x0886695ce8b00ff9cb3b286883a23d258a3fbdfe296f9e24a8b5f848bccd41cb
  11. 0x66b4d790d6ae725a0af009d5a6edacaec5a6147d597bc8410a97be11d56a00d1
  12. 0xd85c7204d76d26255c94ef4caa12c05addd08238caa5cdc3888ea60b74e6b940
  13. 0x36a44931b230976c04691d90bf3a25ed4111d74c78b672850d8025a911ca88dd
  14. 0x683955a5b2250ad50568d022a6580d8739b6aff1356779d72a773b088e7c289c
  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