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Evidence row 407797

Observed , by sync.x402_bazaar/1.

Kind
listing
About
source_record x402_bazaar:https://neoavis.com/api/x402/classement
Recorded
Previous row
#298731
Body SHA-256
04afa076b1cf5c8746393143f54e0cf370416f9de078cf02922c431f0e5f1902
Leaf
0x3ac8f53349434c2706a5e0be431f16ed21d6b40eae82778d361fe2683c89dfed

What was observed

{
  "endpoints": [
    [
      "x402",
      "https://neoavis.com/api/x402/classement"
    ]
  ],
  "name": "Neoavis",
  "owner_address": "0x241949696c3e13b61dc28a6ecdd5d0174b3c7739",
  "raw": {
    "accepts": [
      {
        "amount": "5000",
        "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
        "extra": {
          "name": "USD Coin",
          "version": "2"
        },
        "maxTimeoutSeconds": 300,
        "network": "eip155:8453",
        "payTo": "0x241949696C3E13B61dC28a6EcDD5d0174b3C7739",
        "scheme": "exact"
      }
    ],
    "description": "Ranking of the French online stores of one sector (beauty, fashion, home, sports, grocery, kids, pets, jewellery, DIY, electronics) by what an AI shopping agent manages to do on them, scored out of 100. Use it to pick a store where an agent can actually buy.",
    "extensions": {
      "bazaar": {
        "info": {
          "input": {
            "method": "GET",
            "queryParams": {
              "secteur": "beaute"
            },
            "type": "http"
          },
          "output": {
            "example": {
              "marchands": [
                {
                  "domaine": "exemple-beaute.fr",
                  "ex_aequo": false,
                  "nom": "Exemple",
                  "note": 87,
                  "note_sur": 100,
                  "rang": 1
                }
              ],
              "secteur": "beaute"
            },
            "type": "json"
          }
        },
        "schema": {
          "$schema": "https://json-schema.org/draft/2020-12/schema",
          "properties": {
            "input": {
              "additionalProperties": false,
              "properties": {
                "method": {
                  "enum": [
                    "GET"
                  ],
                  "type": "string"
                },
                "queryParams": {
                  "properties": {
                    "langue": {
                      "description": "Language of the summary and page link (fr or en).",
                      "enum": [
                        "fr",
                        "en"
                      ],
                      "type": "string"
                    },
                    "secteur": {
                      "description": "Sector id.",
                      "enum": [
                        "beaute",
                        "mode",
                        "maison",
                        "sport",
                        "epicerie",
                        "enfant",
                        "animalerie",
                        "bijoux",
                        "bricolage",
                        "high-tech"
                      ],
                      "type": "string"
                    }
                  },
                  "required": [
                    "secteur"
                  ],
                  "type": "object"
                },
                "type": {
                  "const": "http",
                  "type": "string"
                }
              },
              "required": [
                "type",
                "method"
              ],
              "type": "object"
            },
            "output": {
              "properties": {
                "example": {
                  "type": "object"
                },
                "type": {
                  "type": "string"
                }
              },
              "required": [
                "type"
              ],
              "type": "object"
            }
          },
          "required": [
            "input"
          ],
          "type": "object"
        }
      }
    },
    "iconUrl": "https://res.cloudinary.com/bdb-prod/image/upload/c_fill,ar_1:1,w_256,h_256,f_auto,q_auto/v1793047012/bazaar-icons/f98def800a3ea6c6.png",
    "lastUpdated": "2026-10-26T20:39:57.777Z",
    "quality": {
      "l30DaysTotalCalls": 1,
      "l30DaysUniquePayers": 1,
      "lastCalledAt": "2026-10-26T20:39:57.474Z"
    },
    "resource": "https://neoavis.com/api/x402/classement",
    "serviceName": "Neoavis",
    "tags": [
      "ecommerce",
      "ai-agents",
      "shopping",
      "france",
      "merchant-ratings"
    ],
    "type": "http",
    "x402Version": 2
  },
  "source": "x402_bazaar",
  "summary": "Ranking of the French online stores of one sector (beauty, fashion, home, sports, grocery, kids, pets, jewellery, DIY, electronics) by what an AI shopping agent manages to do on them, scored out of 100. Use it to pick a store where an agent can actually buy."
}

What the leaf hashes

{"body":"04afa076b1cf5c8746393143f54e0cf370416f9de078cf02922c431f0e5f1902","id":407797,"kind":"listing","method":"sync.x402_bazaar/1","observed_us":1793080252460814,"prev":298731,"subject":"x402_bazaar:https://neoavis.com/api/x402/classement","subject_kind":"source_record"}

Proof

Fold these into the leaf in order, hashing each sorted pair with keccak256, to reach the root of (273461 rows).

  1. 0x3ac89ffe02fc0e97ba53c31ebe870a99dcd3577cf573bb13416eed98ec16fc92
  2. 0x2b175f75a4de11f6751f82c706b496aa1c438048f4d4527b84e3eea91bcddd4c
  3. 0x0e44256d8fdf60b60dbb65842c9cf03ba7b74480abce372e68047411ce953756
  4. 0x667328aebf17e5b671f7ef2149c8a9a272cdc875218f36c763a961672b7f64e5
  5. 0x033edf80cd46510e9b79e24174f452fbd2c792fb4fe54762b5ca56c8b37c5e35
  6. 0x3535758b7518ea48f38dc38cd2c0284218f7c0234f3ab319603e1a60bcb987bd
  7. 0x0de6153f04bb30674c2969433899f67f0786c2ebd7d80efdff5a9e98fdf1bd89
  8. 0xfb68910df95f6c843f73effbdbcb9b7c7c69d8424240109e88332e7155453543
  9. 0xa80b3456e1559137d6b4cf7247516fa306209b43a955dee596a19e1e9f2d4792
  10. 0x6bef6d1f9bd06795cf32f34087a242daad9e8a2762ebe687f3b5555470937311
  11. 0x34cd0060c6df900735b6aa88a647d584520104fc04a2c8d5b37d3436121b79cb
  12. 0x4add9ebe2bbf86a7a32e3cec38874af82baf38b21fde64a6952bf3d4124e2c7f
  13. 0x9e70d944564843a0f0d88b623d628ff2e2ac17c172d4ebe0ed141fe8b9f9dae4
  14. 0x42784d9809d120654630ee1b254a1dd90a2bbd3024aa180f1a59bbf53e9316e4
  15. 0x8360ee1105e4d9f9312067cbbfd47c69c5948665ae582b9684a580c8f4e199e1
  16. 0x52efa60e0c3d8525486d2310eb3b6b566c9677c64fd1f819edb072cf101bcbdb
  17. 0x22c1fb9487ee0b9732fa017a0cc321eb27a60c08450d112f755089796e12cb1c
  18. 0xa20d48798a34aba12eb9c7297722982d910f06c148f5e27ac59307422964a585
  19. 0x9fc354c0ea3efc3f1b6548bb77ea902a50f2c9647647ea61592efce2bd795699
Day root
0xdd77e5e99da32c3f154180d63e3c3e6fe11e896a2c6896412ef6b5c4bcf7e795
Chained
0x23bb4dfd09f55c15ac3962f53578e02c6114d5bfd9bb451cf8794fb6e2817ef4
Published
On Arc Testnet, block 69414147: 0xb2ebd83aafeb765a0ce66e76aefb133ed06606c98038fd56191e2bcd1dcb77b4

How to check it · This row as JSON