← The evidence ledger
Evidence row 298731
Observed , by sync.x402_bazaar/1.
- Kind
- listing
- About
- source_record x402_bazaar:https://neoavis.com/api/x402/classement
- Recorded
- Previous row
- None: the first of its kind about this subject
- Body SHA-256
- 8fd328545882a4b8ac6f52acd7cd592b5ab5756956df9e945063af9bd4495071
- Leaf
- 0xd8387ecef4f53dcbd80511656bdb67be85ff45c361191f6d4324321d03a06335
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": {
"lastCalledAt": "2026-10-26T20:39:57.777Z"
},
"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":"8fd328545882a4b8ac6f52acd7cd592b5ab5756956df9e945063af9bd4495071","id":298731,"kind":"listing","method":"sync.x402_bazaar/1","observed_us":1793052598353706,"prev":null,"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 (296695 rows).
- 0xd838eec405f8d4cb53ccd67eb5c9a7713d73d349090f67c5a2ecfa9dce07384c
- 0x8f5e627f2c7954bce6a1326445ca0bf6fa2b8743eeb2beba9e46bbef678eb424
- 0x49376e1af078befe8c1f932ef35026a1bc7a1d059097755914fa3397ee95f70b
- 0xbc3a602cf264801238289947f6ed7e1ed01c7690609f1e1d9c0fbe3a749ea68c
- 0x9063fb560d6e6b16deb6323b5a5fe5f1af162fdc227ab646e723189791fb7e53
- 0x0f08eed565f082f46c464dfbe5209ed421389588d8437cdc91399725726a3554
- 0xd9bc405dcac5c95d6e26a3d74b9e0783bbd99ec2de855382eebe76d9f4e5df5e
- 0x5f413c94bce5ca3155ae3825bc0b30a8412f4bd8204b0c471c165742e6c0cb0e
- 0x9754378ea7ac1d291fd46f945e1a2ad82fa1ca5e9d27632f20194abae2857dfc
- 0x60bb9965ad3bbe169d5f64f7e3edfb9a565192c04e9f5f80c664e2fefe04706e
- 0x2671a86f48dece064e871ca46396549de6c07bd09915bed27b7ac95a735127fd
- 0x07e91966e8a0c43a0725bd3d523259064a93333c2900e6171b69ffbfd9f423f1
- 0xcd9e3af1fa905ec61b99ee9442716d7c7a439aecacd018ec229a24def1cabf6b
- 0x6b927d53caa5125cdba9255612d524976c691f8672796c3f0885ba2c5b3af1ad
- 0x6dc40f983a3840a0ad927a9ca17f4ff1e3b649a6c735e2a09b140db7c2caf13b
- 0x703f95866af09c5e5d6ead7411e9a10f964a41a2aff64d4a55ff0053c023a023
- 0xd0651cb9bc8155eb52b5247d506e74b8a935057dc190ba52091702ac25ed3a40
- 0x9a9024edb5069d88a324facb310a5ce8e495214bbaa968f077bede437390194f
- 0x9b9ce5b74b9bab5121612ef6b64920a8d453cbf311096a423eef9702747e868a
- Day root
- 0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8
- Chained
- 0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a
- Published
- On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae