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Evidence row 116464

Observed , by baseline/1.

Kind
listing
About
source_record x402_bazaar:https://market.datapackvibe.com/x402/assistant-sector-writing-case-study-normalise
Recorded
Previous row
None: the first of its kind about this subject
Body SHA-256
d340014e7a5dee0e430d06004e88e6488b351b965ecfa4f2cf981b054d9711b8
Leaf
0xc7db7ddaf9b60e48734dd00ce363a980ce41cd59e391b39ffc1ac8fa73469ecc

What was observed

{
  "endpoints": [
    [
      "x402",
      "https://market.datapackvibe.com/x402/assistant-sector-writing-case-study-normalise"
    ]
  ],
  "name": "market.datapackvibe.com/x402/assistant-sector-writing-case-study-normalise",
  "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": "Case study - Whitespace normalisation: Whitespace normalisation for Case study. Supplied Markdown or plain text, up to 20,000 characters. Deterministic processing and document templates; no generative prose or fact checking. One of 25 profiles or calculations across 20 shared operations in this sector. 0.01 USDC includes one bounded whitespace normalisation deliverable.",
    "extensions": {
      "bazaar": {
        "info": {
          "input": {
            "body": {
              "text": "## Challenge\nExample 1 content.\nTODO: review the supplied document by 2026-10-10.\n\n## Solution\nExample 2 content.\nTODO: review the supplied document by 2026-10-10.\n\n## Results\nExample 3 content.\nTODO: review the supplied document by 2026-10-10."
            },
            "bodyType": "json",
            "method": "POST",
            "type": "http"
          },
          "output": {
            "example": {
              "files": [],
              "order_id": "ord_example",
              "result": {
                "completed": true,
                "workflow": "sector-writing-case-study-normalise"
              },
              "sku": "assistant-sector-writing-case-study-normalise",
              "status": "delivered"
            },
            "type": "json"
          }
        },
        "schema": {
          "$schema": "https://json-schema.org/draft/2020-12/schema",
          "properties": {
            "input": {
              "additionalProperties": false,
              "properties": {
                "body": {
                  "additionalProperties": false,
                  "properties": {
                    "text": {
                      "default": "## Challenge\nExample 1 content.\nTODO: review the supplied document by 2026-10-10.\n\n## Solution\nExample 2 content.\nTODO: review the supplied document by 2026-10-10.\n\n## Results\nExample 3 content.\nTODO: review the supplied document by 2026-10-10.",
                      "maxLength": 20000,
                      "type": "string"
                    }
                  },
                  "required": [
                    "text"
                  ],
                  "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": "2026-10-25T01:48:30.197Z",
    "quality": {
      "l30DaysTotalCalls": 3,
      "l30DaysUniquePayers": 1,
      "lastCalledAt": "2026-10-25T01:48:30.013Z"
    },
    "resource": "https://market.datapackvibe.com/x402/assistant-sector-writing-case-study-normalise",
    "tags": [
      "ai",
      "sector-writing",
      "workflow"
    ],
    "type": "http",
    "x402Version": 2
  },
  "source": "x402_bazaar",
  "summary": "Case study - Whitespace normalisation: Whitespace normalisation for Case study. Supplied Markdown or plain text, up to 20,000 characters. Deterministic processing and document templates; no generative prose or fact checking. One of 25 profiles or calculations across 20 shared operations in this sector. 0.01 USDC includes one bounded whitespace normalisation deliverable."
}

What the leaf hashes

{"body":"d340014e7a5dee0e430d06004e88e6488b351b965ecfa4f2cf981b054d9711b8","id":116464,"kind":"listing","method":"baseline/1","observed_us":1793025609659389,"prev":null,"subject":"x402_bazaar:https://market.datapackvibe.com/x402/assistant-sector-writing-case-study-normalise","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. 0xc7db9d32df266e6bc2053cd5fb50feba18ac23894124dc290a9349d63f7fea32
  2. 0xcf85ddcbb708240f3a8208b8c78b44938be7fdc8fe102c80c427c9922ea011ab
  3. 0x016f9eba4c58a7857bd377b6924e6c43e869ec55a1abe6c4fa10fa9475a653f8
  4. 0xde4c203e4bb2c22bd53311dd1179489ee9bae6069ed2c3300c9a49fe7bd94bb2
  5. 0x90ee99c0cec3d2d09442988ca029641da5a5a34b160b52e5fcdbb76ed3d6637c
  6. 0x014855df6aba7576cc61c41706fb027d900e8b8c3e2bb7368869380b0af3c8b8
  7. 0xe98afcd88b500ff5db8aa7614112ee14b6d7592dda3032fc27a5abb3671389d9
  8. 0x5f5d14f05c0ecd2fbd12fd360894f7a1c5987633edc34b87308bf5cec88b97bb
  9. 0xf3f47e89877bd2760627a1fc697133f8a4d8be4686cc5b205bf7ac340ebfb0f8
  10. 0xa403d1fe215a97991378c0b67b9af7ef7b1e56dd3f0f7b576359048c108af6b9
  11. 0xac575d7ca8c3c7e88957908dda0517fbb35f0894886bb91a97cff3aa71fa23e9
  12. 0xde09984239f27618a13932caf48f5d39831fc5021500b0581dce0dabd570bd6e
  13. 0x72e35aac89ebca631656c2b1aecbdc094807d9807f12c22a6ddf35cc1f5e21d6
  14. 0x5b20d8aab05225a3497eadcce89d2e2a586a510fb31334793d3f46f88f0157c5
  15. 0xe94ca5b798e9899ad611e57835af42266e20f53f44977e487d81365e30972beb
  16. 0x703f95866af09c5e5d6ead7411e9a10f964a41a2aff64d4a55ff0053c023a023
  17. 0xd0651cb9bc8155eb52b5247d506e74b8a935057dc190ba52091702ac25ed3a40
  18. 0x9a9024edb5069d88a324facb310a5ce8e495214bbaa968f077bede437390194f
  19. 0x9b9ce5b74b9bab5121612ef6b64920a8d453cbf311096a423eef9702747e868a
Day root
0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8
Chained
0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a
Published
On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae

How to check it · This row as JSON