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Evidence row 116495

Observed , by baseline/1.

Kind
listing
About
source_record x402_bazaar:https://market.datapackvibe.com/x402/assistant-sector-writing-executive-summary-word-frequency
Recorded
Previous row
None: the first of its kind about this subject
Body SHA-256
d5d3dc32799f1534c87cc6ecd87b45af7455c271ec7ddb2ad69d9346a909bba5
Leaf
0xa44408a9a329159d16670b18ed02bcd2e14993b16eafabde8f1b93b299aae700

What was observed

{
  "endpoints": [
    [
      "x402",
      "https://market.datapackvibe.com/x402/assistant-sector-writing-executive-summary-word-frequency"
    ]
  ],
  "name": "market.datapackvibe.com/x402/assistant-sector-writing-executive-summary-word-frequency",
  "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": "Executive summary - Word frequencies: Word frequencies for Executive summary. 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 word frequencies deliverable.",
    "extensions": {
      "bazaar": {
        "info": {
          "input": {
            "body": {
              "text": "## Context\nExample 1 content.\nTODO: review the supplied document by 2026-10-10.\n\n## Findings\nExample 2 content.\nTODO: review the supplied document by 2026-10-10.\n\n## Next steps\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-executive-summary-word-frequency"
              },
              "sku": "assistant-sector-writing-executive-summary-word-frequency",
              "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": "## Context\nExample 1 content.\nTODO: review the supplied document by 2026-10-10.\n\n## Findings\nExample 2 content.\nTODO: review the supplied document by 2026-10-10.\n\n## Next steps\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": "2026-10-26T05:32:35.436Z",
    "quality": {
      "lastCalledAt": "2026-10-26T05:32:35.436Z"
    },
    "resource": "https://market.datapackvibe.com/x402/assistant-sector-writing-executive-summary-word-frequency",
    "tags": [
      "ai",
      "sector-writing",
      "workflow"
    ],
    "type": "http",
    "x402Version": 2
  },
  "source": "x402_bazaar",
  "summary": "Executive summary - Word frequencies: Word frequencies for Executive summary. 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 word frequencies deliverable."
}

What the leaf hashes

{"body":"d5d3dc32799f1534c87cc6ecd87b45af7455c271ec7ddb2ad69d9346a909bba5","id":116495,"kind":"listing","method":"baseline/1","observed_us":1793025609690485,"prev":null,"subject":"x402_bazaar:https://market.datapackvibe.com/x402/assistant-sector-writing-executive-summary-word-frequency","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. 0xa4435fc9afac4fa83e1b8350e19f74d112a59cc2a7e00f6d5e5b121d555cbcbc
  2. 0xc5504e38156362fa30763b6df56552d60a38d58ae0efe86e96db606e4b65851b
  3. 0x1ef15135112c9ce0a11593082ea0e3604d5436cb35cc856a40a7a4974c840dd1
  4. 0xa0d9671aa4851a210e8f05eb482c7e5d261472a1c82d621d330d3b660a02de89
  5. 0xd073de34650fabed58dab09cd09d4eed2adf0053720cc7ebb1f4c1fb021f9941
  6. 0x91075d8cd04db9757a595fb3c63a8a7eed8a5a551faac9229aab9f23b37ab17b
  7. 0xeffd169f540d815e9e6b7c6aa29fe2cee1d7a9e57f790b82a8801b986286c2cc
  8. 0x897f00a8f4eec974b7e8daf0e260b414fa69a265b398bed2025d9920b1cdc6c6
  9. 0x379dce8f4f81c1da8c228257bf51d1eea95978e6d24e3625a0a38a1edb3348fe
  10. 0xcfc41667c7e4033b09b3eb60ac1b4f7735f1d813168ca8ee332b26dbabe469c4
  11. 0x63bb18928b05af339d3db18a674ec04120f1a31736f638d4e101d735122f8380
  12. 0x21725c62783071369e87d9e0abedb3d8cc37bdab8d0d58308c28aeb7cfd2bc8c
  13. 0xc34c13c58ba9c342ea1b833ac1882a4aea22777c4fd1092b2f83d3bac6b9f845
  14. 0x428106f4ae4ec142f17aebf6fa50935242f8d3f1c211cf95d6351d03d11da2b7
  15. 0x62a900133713919f4eed33d8336876b7a6d538233b8a4f3ed03b29aa44f5bad0
  16. 0x1ac20d30773e1f4f2f811540e9a99b5cca9177c9e2e029acc0d80cf3f1d11f0f
  17. 0xd21942ae3214eff88e08ab04884fd4b11958b51af9a0741b7668e2d07a2c56c9
  18. 0x9a9024edb5069d88a324facb310a5ce8e495214bbaa968f077bede437390194f
  19. 0x9b9ce5b74b9bab5121612ef6b64920a8d453cbf311096a423eef9702747e868a
Day root
0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8
Chained
0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a
Published
On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae

How to check it · This row as JSON