← The evidence ledger
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).
- 0x3ac89ffe02fc0e97ba53c31ebe870a99dcd3577cf573bb13416eed98ec16fc92
- 0x2b175f75a4de11f6751f82c706b496aa1c438048f4d4527b84e3eea91bcddd4c
- 0x0e44256d8fdf60b60dbb65842c9cf03ba7b74480abce372e68047411ce953756
- 0x667328aebf17e5b671f7ef2149c8a9a272cdc875218f36c763a961672b7f64e5
- 0x033edf80cd46510e9b79e24174f452fbd2c792fb4fe54762b5ca56c8b37c5e35
- 0x3535758b7518ea48f38dc38cd2c0284218f7c0234f3ab319603e1a60bcb987bd
- 0x0de6153f04bb30674c2969433899f67f0786c2ebd7d80efdff5a9e98fdf1bd89
- 0xfb68910df95f6c843f73effbdbcb9b7c7c69d8424240109e88332e7155453543
- 0xa80b3456e1559137d6b4cf7247516fa306209b43a955dee596a19e1e9f2d4792
- 0x6bef6d1f9bd06795cf32f34087a242daad9e8a2762ebe687f3b5555470937311
- 0x34cd0060c6df900735b6aa88a647d584520104fc04a2c8d5b37d3436121b79cb
- 0x4add9ebe2bbf86a7a32e3cec38874af82baf38b21fde64a6952bf3d4124e2c7f
- 0x9e70d944564843a0f0d88b623d628ff2e2ac17c172d4ebe0ed141fe8b9f9dae4
- 0x42784d9809d120654630ee1b254a1dd90a2bbd3024aa180f1a59bbf53e9316e4
- 0x8360ee1105e4d9f9312067cbbfd47c69c5948665ae582b9684a580c8f4e199e1
- 0x52efa60e0c3d8525486d2310eb3b6b566c9677c64fd1f819edb072cf101bcbdb
- 0x22c1fb9487ee0b9732fa017a0cc321eb27a60c08450d112f755089796e12cb1c
- 0xa20d48798a34aba12eb9c7297722982d910f06c148f5e27ac59307422964a585
- 0x9fc354c0ea3efc3f1b6548bb77ea902a50f2c9647647ea61592efce2bd795699
- Day root
- 0xdd77e5e99da32c3f154180d63e3c3e6fe11e896a2c6896412ef6b5c4bcf7e795
- Chained
- 0x23bb4dfd09f55c15ac3962f53578e02c6114d5bfd9bb451cf8794fb6e2817ef4
- Published
- On Arc Testnet, block 69414147: 0xb2ebd83aafeb765a0ce66e76aefb133ed06606c98038fd56191e2bcd1dcb77b4