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Evidence row 273044

Observed , by sync.x402_bazaar/1.

Kind
listing
About
source_record x402_bazaar:https://market.datapackvibe.com/x402/assistant-sector-writing-blog-draft-word-frequency
Recorded
Previous row
None: the first of its kind about this subject
Body SHA-256
cedda6fdf1f8f5c7b724bfcec58e3c712cb37c6c38c5133ec5d2c56367fa05dc
Leaf
0x4909eaae27937915e49ecbbf2fa6e02283b6d6a5e5d2a0acbfdf0989678d0e86

What was observed

{
  "endpoints": [
    [
      "x402",
      "https://market.datapackvibe.com/x402/assistant-sector-writing-blog-draft-word-frequency"
    ]
  ],
  "name": "Blog draft - Word frequencies",
  "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": "Blog draft - Word frequencies: Word frequencies for Blog draft. 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": "## Introduction\nExample 1 content.\nTODO: review the supplied document by 2026-10-10.\n\n## Main points\nExample 2 content.\nTODO: review the supplied document by 2026-10-10.\n\n## Conclusion\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-blog-draft-word-frequency"
              },
              "sku": "assistant-sector-writing-blog-draft-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": "## Introduction\nExample 1 content.\nTODO: review the supplied document by 2026-10-10.\n\n## Main points\nExample 2 content.\nTODO: review the supplied document by 2026-10-10.\n\n## Conclusion\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": "2026-10-26T17:19:48.429Z",
    "quality": {
      "lastCalledAt": "2026-10-26T17:19:48.429Z"
    },
    "resource": "https://market.datapackvibe.com/x402/assistant-sector-writing-blog-draft-word-frequency",
    "serviceName": "Blog draft - Word frequencies",
    "tags": [
      "ai",
      "sector-writing",
      "workflow"
    ],
    "type": "http",
    "x402Version": 2
  },
  "source": "x402_bazaar",
  "summary": "Blog draft - Word frequencies: Word frequencies for Blog draft. 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":"cedda6fdf1f8f5c7b724bfcec58e3c712cb37c6c38c5133ec5d2c56367fa05dc","id":273044,"kind":"listing","method":"sync.x402_bazaar/1","observed_us":1793039058890422,"prev":null,"subject":"x402_bazaar:https://market.datapackvibe.com/x402/assistant-sector-writing-blog-draft-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. 0x490a1ef460e6ea98c0f70fac8a94e4e3017f77cc7638280d116e2f6deee37206
  2. 0x6d7c847129b80640635cf49649c2b09b3b4faca9f8f0cf273c24c798e976a2ee
  3. 0xbbc7ecc084d944223d6301a05310323fc86ae486fb64db5cd6e513860f6878a1
  4. 0x1275a39dbc8ef23ceaf41eff0d192c4f6a9dcc262ebadb0f2fb2c0bbebb70ecf
  5. 0x256bcb317bbdf37e713f3f0d4a71ed9d86eac54181dff746dc2238a443b957cd
  6. 0x2c9bf8c3ff470a9963fc36762972c24b5240392918a29a0027c184d0482fe38f
  7. 0x3a7733fd7d7d9877454dc2844ee9786f7a41068b34fdbee6f8fb9d278348de22
  8. 0x570d2320bb282dd0da0faa25cbf84612d9e3083b12ba8304ea4903d57a9705e1
  9. 0x7541cd1918e38f4a0f6add627a7846433315f4898be3452c4fe4e6121a5b9747
  10. 0x1c31b9fd609755e3d960fab27bd2b1eb3a2104f15e3f9261a56d30e3613f4c01
  11. 0xa40c09a143bc388ccac821ec3854902941c513470a57a806c98060a6d63aedf9
  12. 0xee7d5711cd2515f4b08f3e4041d3d56304f9db6bffd82d82746f0f4ea43b8f26
  13. 0xb86fa861d04737cb507e721eefbb066d26528fdb6017b1145c18d1223b93ee21
  14. 0x88e326a39b26e2c125306c9d3805d14398ace088bba9a2a0aa376b811cfb201a
  15. 0x2be1e80e065dd6b2cc75a7142be22225acd144ac975d70bf24b4f01fd76dc497
  16. 0x2e6a32eb32761c210560e852405e2f865f958ddbe01027894f8b9c1b3433b9f0
  17. 0x9a83be955a206deb65b995adfd92c58fa31c95fbbf926bd199d300e70b08b26d
  18. 0x20704208aa6923d6b2450ef74ede87a6e0265d46447926038fe9506e9e154b2d
  19. 0x9b9ce5b74b9bab5121612ef6b64920a8d453cbf311096a423eef9702747e868a
Day root
0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8
Chained
0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a
Published
On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae

How to check it · This row as JSON