← The evidence ledger
Evidence row 64310
Observed , by baseline/1.
- Kind
- listing
- About
- source_record x402_bazaar:https://ai.kagurazaka.dev/v1/labels
- Recorded
- Previous row
- None: the first of its kind about this subject
- Body SHA-256
- 996845ef5c39f6c9bf5f8bb3c92b568c2d61ca7247c6141e7f0daded7e04b100
- Leaf
- 0x2099eb967e2217c226b8171c3453d6cbe81e38b7389101a0e7c210ef5f30f647
What was observed
{
"endpoints": [
[
"x402",
"https://ai.kagurazaka.dev/v1/labels"
]
],
"name": "x402 AI Tools",
"owner_address": "0xe6f7508ab572a4dc9c7486ea017b100d83f3c3f8",
"raw": {
"accepts": [
{
"amount": "3000",
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"extra": {
"name": "USD Coin",
"version": "2"
},
"maxTimeoutSeconds": 300,
"network": "eip155:8453",
"payTo": "0xe6f7508ab572a4dc9c7486ea017b100d83f3c3f8",
"scheme": "exact"
}
],
"description": "Detects objects, scenes, activities and concepts in a JPEG or PNG at a URL with Amazon Rekognition. Returns labels with confidence, their categories and parent labels, and how many instances were located.",
"extensions": {
"bazaar": {
"info": {
"input": {
"body": {
"max_labels": 10,
"url": "https://raw.githubusercontent.com/danielgatis/rembg/main/examples/animal-1.jpg"
},
"bodyType": "json",
"method": "POST",
"type": "http"
},
"output": {
"example": {
"labels": [
{
"categories": [
"Animals and Pets"
],
"confidence": 99.4,
"instances": 0,
"name": "Animal",
"parents": []
},
{
"categories": [
"Animals and Pets"
],
"confidence": 98.1,
"instances": 1,
"name": "Dog",
"parents": [
"Animal",
"Mammal",
"Pet"
]
}
]
},
"type": "json"
}
},
"schema": {
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"input": {
"additionalProperties": false,
"properties": {
"body": {
"properties": {
"max_labels": {
"description": "1-100 (default 20)",
"type": "integer"
},
"min_confidence": {
"description": "0-100 (default 60)",
"type": "number"
},
"url": {
"description": "https URL of a JPEG or PNG image (up to 5 MB)",
"type": "string"
}
},
"required": [
"url"
]
},
"bodyType": {
"enum": [
"json",
"form-data",
"text"
],
"type": "string"
},
"method": {
"enum": [
"POST"
],
"type": "string"
},
"type": {
"const": "http",
"type": "string"
}
},
"required": [
"type",
"method",
"bodyType",
"body"
],
"type": "object"
},
"output": {
"properties": {
"example": {
"properties": {
"labels": {}
},
"type": "object"
},
"type": {
"type": "string"
}
},
"required": [
"type"
],
"type": "object"
}
},
"required": [
"input"
],
"type": "object"
}
}
},
"lastUpdated": "2026-10-25T20:45:40.288Z",
"quality": {
"l30DaysTotalCalls": 2,
"l30DaysUniquePayers": 2,
"lastCalledAt": "2026-10-25T20:45:40.112Z"
},
"resource": "https://ai.kagurazaka.dev/v1/labels",
"serviceName": "x402 AI Tools",
"tags": [
"image recognition",
"labels",
"object detection",
"vision"
],
"type": "http",
"x402Version": 2
},
"source": "x402_bazaar",
"summary": "Detects objects, scenes, activities and concepts in a JPEG or PNG at a URL with Amazon Rekognition. Returns labels with confidence, their categories and parent labels, and how many instances were located."
}What the leaf hashes
{"body":"996845ef5c39f6c9bf5f8bb3c92b568c2d61ca7247c6141e7f0daded7e04b100","id":64310,"kind":"listing","method":"baseline/1","observed_us":1793025456451519,"prev":null,"subject":"x402_bazaar:https://ai.kagurazaka.dev/v1/labels","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).
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- 0x920a5fddde6ac419c1081d709d23d411bfdce12f1f8ab5218702d031537e67c6
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- 0x681790fe11600b76e6cff0539fa11137a3d7b0ba485f956912cbcc5e1401a217
- 0xfcf3761de89afe9ced8afdfb8c4e8a361b51874ab08035acec708731ebc7108b
- 0xddb56f426910d09c7841e9e33026b19eb4bba15e1313f33f480ddf4cbfc4feb6
- 0xd77b2f6b644ff4bbbe4b999b7f033a51a6e54f68caa028286d6236c8746e7c7f
- 0x3a4eb87f6cf56a6e6ec9d0649362f4406ff949fb6d435931429feef859d64141
- 0x079e691201f8fe8ea3718cede784dde70b1316094e3ad526df647841955fcee3
- 0x057e71ed555693238850b77237df28dd2661cf85c88138365b7e42941201ad01
- 0xfde157310fc8513767b162378ca9ceefb2937c374b7381a8887f7ccba8ab5a80
- 0x9d75d4d3ab6219edefa04be60b32fdd56be7a7672f370a5115f02f7b098ecd27
- 0x9dfd312f3d4937f7cb144cee3987e8516f222932b4ea286605236d73cfa1ed16
- 0xc3a6a3ae44ec0da1848b16d40c45d7aac97a67352eea8df18e0f26edabea8a2f
- 0x06d71bfa7d8b41d62c8836efc2c601e1cc3772d9453596b2ae4950887f3310ca
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- 0x9b9ce5b74b9bab5121612ef6b64920a8d453cbf311096a423eef9702747e868a
- Day root
- 0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8
- Chained
- 0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a
- Published
- On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae