Evidence row 67962

What was observed

{
  "endpoints": [
    [
      "x402",
      "https://api.particle.pro/v1/entities"
    ]
  ],
  "name": "Particle Pro",
  "owner_address": "0x59f3a6dcb6f482c53872dd8f8f9e1f9161a1c5f7",
  "raw": {
    "accepts": [
      {
        "amount": "10000",
        "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
        "extra": {
          "name": "USD Coin",
          "version": "2"
        },
        "maxTimeoutSeconds": 300,
        "network": "eip155:8453",
        "payTo": "0x59f3a6dcb6f482c53872dd8f8f9e1f9161a1c5f7",
        "scheme": "exact"
      }
    ],
    "description": "List entities. List knowledge graph entities (people, organizations, places) across all podcast content.",
    "extensions": {
      "bazaar": {
        "info": {
          "input": {
            "method": "GET",
            "queryParams": {
              "ids": [
                "sam-altman",
                "openai"
              ]
            },
            "type": "http"
          }
        },
        "schema": {
          "$schema": "https://json-schema.org/draft/2020-12/schema",
          "properties": {
            "input": {
              "additionalProperties": false,
              "properties": {
                "method": {
                  "enum": [
                    "GET"
                  ],
                  "type": "string"
                },
                "queryParams": {
                  "properties": {
                    "cursor": {
                      "description": "Opaque pagination cursor from previous response",
                      "type": "string"
                    },
                    "ids": {
                      "description": "Bulk multi-get: one or more entity slugs (e.g. 'sam-altman', 'apple') or IDs, comma-separated (max 100). When set, returns exactly those entities and the other filters (type, podcast_id) and pagination are ignored. Refs that don't resolve are omitted from the response.",
                      "items": {
                        "type": "string"
                      },
                      "type": "array"
                    },
                    "limit": {
                      "description": "Results per page",
                      "format": "int64",
                      "type": "integer"
                    },
                    "podcast_id": {
                      "description": "Podcast slug (e.g., 'all-in'), internal ID, or numeric iTunes ID. Filter to entities appearing in a specific podcast.",
                      "type": "string"
                    },
                    "type": {
                      "description": "Filter to an entity category. See GET /v1/entities/types for the available slugs (e.g. 'person', 'company', 'movie', 'sports-team').",
                      "type": "string"
                    }
                  },
                  "type": "object"
                },
                "type": {
                  "const": "http",
                  "type": "string"
                }
              },
              "required": [
                "type",
                "method"
              ],
              "type": "object"
            }
          },
          "required": [
            "input"
          ],
          "type": "object"
        }
      }
    },
    "lastUpdated": "2026-10-08T06:26:35.514Z",
    "quality": {
      "l30DaysTotalCalls": 3,
      "l30DaysUniquePayers": 2,
      "lastCalledAt": "2026-10-08T06:26:35.346Z"
    },
    "resource": "https://api.particle.pro/v1/entities",
    "serviceName": "Particle Pro",
    "tags": [
      "entities",
      "podcasts",
      "media intelligence",
      "particle pro"
    ],
    "type": "http",
    "x402Version": 2
  },
  "source": "x402_bazaar",
  "summary": "List entities. List knowledge graph entities (people, organizations, places) across all podcast content."
}

What the leaf hashes

{"body":"5f54ef2a486603238f22230363a7841bc24fd97583951e7f50e826c0e441c49e","id":67962,"kind":"listing","method":"baseline/1","observed_us":1793025465463756,"prev":null,"subject":"x402_bazaar:https://api.particle.pro/v1/entities","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. 0xfc683c508562cbb0458570e801563564d537879b0d5453df32b6f9e42a77dd43
2. 0x34c11ba464a222ee67e8ac0430c9d943d5d5f80b3b6bf18dce5d69dd0e319063
3. 0xa38f4517dc44c86f08d2a10bfe5a6ea845620b929a242b89b1f90b9b54920f0e
4. 0x7d9c9e65abd555291a69ce1b0b1e3992a3c964386723e1daa6f2da0c67603925
5. 0x6a6bab894bc967e42f1d97396fb0c4bf4fbffc2210484156875537cf998c379b
6. 0x99215c995ec064a1903de28b49598925ba6dd33e31702f8087b3a9148e75b472
7. 0xdf5739179ef80a5f77c42a42be59925a6cb384ef88855819125a06ef5bfddd8f
8. 0x4165c0cb0e8c78a03561e1f87bc6b0492b7b3143650cf8b255a233fdb24cb642
9. 0xd5e84a76f08a9f9783e8b3ad62be6916de98755223b57f9f65d3166696157302
10. 0x3a8d3d4169cff276684d88a4f127811b670ead57557bd0903bd3af277772b2c1
11. 0x51bc8fcd224b36d2c60fa49f46f383ee8328191b9e73209ce8018f2612c3d42f
12. 0xf8173f36b7a27e1bb0f6961a49501bba1d99349c5e11449d0d557fbaa910be0a
13. 0xbee644d57738676bfb20eb90d6021f364bf883a8d54f8d17e9dc4749b4074c3d
14. 0x44945ea9ad8b24e723ad5a8fd6d014024a49531783f74ff9229c2ab6930e84c8
15. 0x68d296b1e00b4899fb83c3fba36fffaefa311eac2903067dbebfe776a12b4a9a
16. 0x5fb5dda563336cd1bc1b9f44c52b76237ae72ed2145cb9290f39f304ca7dd678
17. 0x74a0a08e4e7ab9aa5bfbead33dec7e1c7e8e364cff69a63720d764bbe987aadc

Day root

0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8

Chained

0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a

Published

On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae