Evidence row 116800

What was observed

{
  "endpoints": [
    [
      "x402",
      "https://mcp.gapup.io/api/v1/call/content_audience_profile"
    ]
  ],
  "name": "mcp.gapup.io/api/v1/call/content_audience_profile",
  "owner_address": "0xba1e0a29b7c3ca3bca23ffd6922c6c37fbcc730c",
  "raw": {
    "accepts": [
      {
        "amount": "30000",
        "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
        "description": "Audience targeting profile for a work, returns demographics, interests and segment fit for marketing and acquisition",
        "extra": {
          "assetTransferMethod": "eip3009",
          "name": "USD Coin",
          "version": "2"
        },
        "maxAmountRequired": "30000",
        "maxTimeoutSeconds": 60,
        "mimeType": "application/json",
        "network": "eip155:8453",
        "payTo": "0xbA1E0A29B7C3CA3BCa23FfD6922c6c37fBcc730c",
        "resource": "https://mcp.gapup.io/api/v1/call/content_audience_profile",
        "scheme": "exact"
      }
    ],
    "description": "Audience targeting profile for a work, returns demographics, interests and segment fit for marketing and acquisition",
    "extensions": {
      "bazaar": {
        "info": {
          "input": {
            "body": {
              "entity_id": "example"
            },
            "bodyType": "json",
            "method": "POST",
            "type": "http"
          },
          "output": {
            "example": {
              "result": {},
              "source": "rest-api",
              "tool": "content_audience_profile"
            },
            "type": "json"
          }
        },
        "schema": {
          "$schema": "https://json-schema.org/draft/2020-12/schema",
          "description": "Audience targeting profile for a work, returns demographics, interests and segment fit for marketing and acquisition",
          "properties": {
            "input": {
              "properties": {
                "body": {
                  "properties": {
                    "async": {
                      "description": "If true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client timeouts.",
                      "type": "boolean"
                    },
                    "entity_id": {
                      "description": "Entity id from content_catalog",
                      "type": "string"
                    },
                    "entity_type": {
                      "enum": [
                        "franchise",
                        "work"
                      ],
                      "type": "string"
                    }
                  },
                  "required": [
                    "entity_id"
                  ],
                  "type": "object"
                },
                "bodyType": {
                  "enum": [
                    "json",
                    "form-data",
                    "text"
                  ],
                  "type": "string"
                },
                "method": {
                  "enum": [
                    "POST"
                  ],
                  "type": "string"
                },
                "type": {
                  "const": "http",
                  "type": "string"
                }
              },
              "type": "object"
            },
            "output": {
              "properties": {
                "example": {
                  "type": "object"
                }
              },
              "type": "object"
            }
          },
          "type": "object"
        }
      }
    },
    "lastUpdated": "2026-10-18T01:20:29.149Z",
    "quality": {
      "l30DaysTotalCalls": 1,
      "l30DaysUniquePayers": 1,
      "lastCalledAt": "2026-10-18T01:20:28.927Z"
    },
    "resource": "https://mcp.gapup.io/api/v1/call/content_audience_profile",
    "type": "http",
    "x402Version": 2
  },
  "source": "x402_bazaar",
  "summary": "Audience targeting profile for a work, returns demographics, interests and segment fit for marketing and acquisition"
}

What the leaf hashes

{"body":"e0ae2d3fa1daf523a98265de10fccddc0831ae6db43f0a29fab627dba9863bea","id":116800,"kind":"listing","method":"baseline/1","observed_us":1793025610288327,"prev":null,"subject":"x402_bazaar:https://mcp.gapup.io/api/v1/call/content_audience_profile","subject_kind":"source_record"}

Proof

Fold these into the leaf in order, hashing each sorted pair with keccak256, to reach the root of 2026-10-26 (296695 rows).

1. 0x2c525cb8ff37d21e76049d7b1dbb39df79cddb593aa53d58787d2bd9901fb9f5
2. 0x2a050e2b531c714187b01ae833ac905fff3f300ebb4afc217d82b39a39d302eb
3. 0x8c433b4aa504b0054f258bd49251ade7ac4b200d603dd1fb637e6ca60df35a8e
4. 0xb895b48c7854ac90e7f30284dfe90c317c9b0cb042179526dbd9b7c4f065b274
5. 0x246b5960f7348d257e42655d2f8c44675e6ec22b675877ab3c4f59b09da05cf3
6. 0x8c3a31c3af46e00df2934c690b72db9725b8c77c06e62016cecaecc6ce7eae3c
7. 0x6b0658c0b3350e23f61b3f1f51d3e97e37df2cdf5416f430e61c0f00c78c59df
8. 0x426cf42224762c4a0078108122ad4b71c428a9a5dadbe51c7b24b48c28b817e8
9. 0x39dad9d2fe17215a77a29c9ac6cb55a0e8de853d1cba9629db1fd72e395375d7
10. 0x1cbbfc8b9cf02cd051da363127613742aba31dcc72efb74809b31eb1e8378d51
11. 0x9c1d7a3e2abd583b1dff8bd25a4baee5982930fe95a180a1a8b26c3f7e8c93f2
12. 0xe8bf822fd6c66b233e3e13e08596e8fb41c1ed9b85be0e4d50cfc9b740c0e206
13. 0xb87e8b32cda179c9e632e227bbd8a6d1f6f61d9d81bb92dbd4dd835d2b3b5caa
14. 0x683955a5b2250ad50568d022a6580d8739b6aff1356779d72a773b088e7c289c
15. 0x610738e0c43687aded83c613c73de8b5226c73c375858a167436461c522ea213
16. 0x06d71bfa7d8b41d62c8836efc2c601e1cc3772d9453596b2ae4950887f3310ca
17. 0x8c756542e482157df0c36464d75c937b845e4423dbbcfad08f0cf8d5a16b9a13
18. 0x20704208aa6923d6b2450ef74ede87a6e0265d46447926038fe9506e9e154b2d
19. 0x9b9ce5b74b9bab5121612ef6b64920a8d453cbf311096a423eef9702747e868a

Day root

0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8

Chained

0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a

Published

On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae