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Evidence row 116025

Observed , by baseline/1.

Kind
listing
About
source_record x402_bazaar:https://market.datapackvibe.com/x402/assistant-sector-ml-delivery-intent-aggregate-scores
Recorded
Previous row
None: the first of its kind about this subject
Body SHA-256
5df53c952db4952ee5c0ea1ca41c615763fbfe4c1eab226e83b55498df62ced8
Leaf
0x12879612105e216967f5bf5c27e4062c13c461e1be13a63514edb84895e7583a

What was observed

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    ]
  ],
  "name": "market.datapackvibe.com/x402/assistant-sector-ml-delivery-intent-aggregate-scores",
  "owner_address": "0x8bc2aecdd86097f74a1a5fa17764108d9a683c8c",
  "raw": {
    "accepts": [
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        "amount": "10000",
        "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
        "extra": {
          "name": "USD Coin",
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        "network": "eip155:8453",
        "payTo": "0x8bc2AECdD86097F74a1a5fa17764108D9a683C8C",
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    ],
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    "extensions": {
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                },
                {
                  "actual": "tracking",
                  "id": "example-0-1",
                  "predicted": "tracking",
                  "text": "tracking sample document number 1 for this supplied dataset."
                },
                {
                  "actual": "tracking",
                  "id": "example-0-2",
                  "predicted": "tracking",
                  "text": "tracking sample document number 2 for this supplied dataset."
                },
                {
                  "actual": "delay",
                  "id": "example-1-0",
                  "predicted": "delay",
                  "text": "delay sample document number 0 for this supplied dataset."
                },
                {
                  "actual": "delay",
                  "id": "example-1-1",
                  "predicted": "delay",
                  "text": "delay sample document number 1 for this supplied dataset."
                },
                {
                  "actual": "delay",
                  "id": "example-1-2",
                  "predicted": "delay",
                  "text": "delay sample document number 2 for this supplied dataset."
                },
                {
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                  "id": "example-2-0",
                  "predicted": "address",
                  "text": "address sample document number 0 for this supplied dataset."
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                  "predicted": "address",
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                },
                {
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                  "id": "example-3-0",
                  "predicted": "other",
                  "text": "other sample document number 0 for this supplied dataset."
                },
                {
                  "actual": "other",
                  "id": "example-3-1",
                  "predicted": "other",
                  "text": "other sample document number 1 for this supplied dataset."
                },
                {
                  "actual": "other",
                  "id": "example-3-2",
                  "predicted": "other",
                  "text": "other sample document number 2 for this supplied dataset."
                }
              ]
            },
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            "type": "http"
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                "workflow": "sector-ml-delivery-intent-aggregate-scores"
              },
              "sku": "assistant-sector-ml-delivery-intent-aggregate-scores",
              "status": "delivered"
            },
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          }
        },
        "schema": {
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                        {
                          "actual": "tracking",
                          "id": "example-0-1",
                          "predicted": "tracking",
                          "text": "tracking sample document number 1 for this supplied dataset."
                        },
                        {
                          "actual": "tracking",
                          "id": "example-0-2",
                          "predicted": "tracking",
                          "text": "tracking sample document number 2 for this supplied dataset."
                        },
                        {
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                          "id": "example-1-0",
                          "predicted": "delay",
                          "text": "delay sample document number 0 for this supplied dataset."
                        },
                        {
                          "actual": "delay",
                          "id": "example-1-1",
                          "predicted": "delay",
                          "text": "delay sample document number 1 for this supplied dataset."
                        },
                        {
                          "actual": "delay",
                          "id": "example-1-2",
                          "predicted": "delay",
                          "text": "delay sample document number 2 for this supplied dataset."
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                        {
                          "actual": "address",
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                          "predicted": "address",
                          "text": "address sample document number 0 for this supplied dataset."
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                        {
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                          "predicted": "address",
                          "text": "address sample document number 1 for this supplied dataset."
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                          "predicted": "address",
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                          "id": "example-3-1",
                          "predicted": "other",
                          "text": "other sample document number 1 for this supplied dataset."
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                          "predicted": "other",
                          "text": "other sample document number 2 for this supplied dataset."
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                          },
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                            "maxLength": 80,
                            "minLength": 1,
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                          },
                          "predicted": {
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                              "address",
                              "other"
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                          "text": {
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                            "maxLength": 1000,
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                        },
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                  "type": "string"
                },
                "method": {
                  "enum": [
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                  ],
                  "type": "string"
                },
                "type": {
                  "const": "http",
                  "type": "string"
                }
              },
              "required": [
                "type",
                "method",
                "bodyType",
                "body"
              ],
              "type": "object"
            },
            "output": {
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              "type": "object"
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          },
          "required": [
            "input"
          ],
          "type": "object"
        }
      }
    },
    "lastUpdated": "2026-10-25T01:48:26.67Z",
    "quality": {
      "l30DaysTotalCalls": 2,
      "l30DaysUniquePayers": 1,
      "lastCalledAt": "2026-10-25T01:48:26.468Z"
    },
    "resource": "https://market.datapackvibe.com/x402/assistant-sector-ml-delivery-intent-aggregate-scores",
    "tags": [
      "ai",
      "sector-ml",
      "workflow"
    ],
    "type": "http",
    "x402Version": 2
  },
  "source": "x402_bazaar",
  "summary": "Delivery intent - Macro micro and weighted scores: Macro micro and weighted scores for Delivery intent. 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

{"body":"5df53c952db4952ee5c0ea1ca41c615763fbfe4c1eab226e83b55498df62ced8","id":116025,"kind":"listing","method":"baseline/1","observed_us":1793025609057674,"prev":null,"subject":"x402_bazaar:https://market.datapackvibe.com/x402/assistant-sector-ml-delivery-intent-aggregate-scores","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. 0x128773fcf2f7b5e96bc1b78327c003fb77811052c4b5525adb452feaa96d90b0
  2. 0xdd581a823218d3424de8f0cb2e2bee912c16ef37f42902fbe3ad4771225504b1
  3. 0x6888b319ebb4da0c84e8a0ae069482b98aefc43744c62c2a37c2344f78e04425
  4. 0xc35f90310e7499e7cc8f937130716a81c218ad05c0cd3c2b8057999032ff2522
  5. 0xa2a4dc55ad26d4f5f3feca1938076d2ba91670e4c9ec5eea1dfb1017f20376fd
  6. 0xbaba531fd21fd982b7dbc19323e275ce961d5a6228af9f8b4e5c936efc1f577f
  7. 0xfe23d343b8423e65db77e2f252b5271eeb848b86e0c3f409e446b545e9313bf9
  8. 0xa3f1ccd01b7551f43075d2728b5f48307ffb1833c775410f0de52970607026e5
  9. 0x7b0bcf56b961f2d85a45a6fd71aa4a36105e97ecdd5daa561798eac7b06adf6c
  10. 0x484fa7effc83120a0d44e655979cb6c3d8629711e39e46f2e4137a81a1d0af64
  11. 0x502ad0a7c2d0bbc45ef3aea37a6ae457822535bcbd44272f1f9e8e4f7166c167
  12. 0x7e390200ea1ea25db5884cf05fa50ad599f0759b573f081e361cc22f7206133c
  13. 0xff1c28bdf595a3d1333e9915edc68e9c5fded7bd5923fa85870979af34cbc3b3
  14. 0xb49e8c2564256e5322e375cb619d9ac70fd17c1d1eba9c991bba4cb6428f45cc
  15. 0x60582ab4b41e72eb70eb0bce07fbf0fb4d2b62a8bad5be50f5d16d511adc746c
  16. 0xc6a4d7899a0f442958e26505011190b7cff2483611c1b94eba9043e0ba9ac36e
  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