← The evidence ledger
Evidence row 64307
Observed , by baseline/1.
- Kind
- listing
- About
- source_record x402_bazaar:https://ai.kagurazaka.dev/v1/entities
- Recorded
- Previous row
- None: the first of its kind about this subject
- Body SHA-256
- f0caae907308e4fd7fc50a58b9106330bc54c1a443a37fe8fcbca03a4a31ac9e
- Leaf
- 0x6abb2e5b2141cdfc052acdeb312fbe43332f5cc90d07a0fd43ef25286c7c9cd0
What was observed
{
"endpoints": [
[
"x402",
"https://ai.kagurazaka.dev/v1/entities"
]
],
"name": "x402 AI Tools",
"owner_address": "0xe6f7508ab572a4dc9c7486ea017b100d83f3c3f8",
"raw": {
"accepts": [
{
"amount": "8000",
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"extra": {
"name": "USD Coin",
"version": "2"
},
"maxTimeoutSeconds": 300,
"network": "eip155:8453",
"payTo": "0xe6f7508ab572a4dc9c7486ea017b100d83f3c3f8",
"scheme": "exact"
}
],
"description": "Finds named entities (person, location, organization, commercial item, event, date, quantity, title, other) in a text with Amazon Comprehend, with their offsets and scores. Supports en, es, fr, de, it, pt, ar, hi, ja, ko, zh, zh-TW; the language is detected when not given.",
"extensions": {
"bazaar": {
"info": {
"input": {
"body": {
"text": "The new phone from Acme arrived in Tokyo on Monday, and the battery life is fantastic."
},
"bodyType": "json",
"method": "POST",
"type": "http"
},
"output": {
"example": {
"entities": [
{
"begin": 18,
"end": 22,
"score": 0.98,
"text": "Acme",
"type": "organization"
},
{
"begin": 34,
"end": 39,
"score": 0.99,
"text": "Tokyo",
"type": "location"
}
],
"language": "en",
"language_detected": true
},
"type": "json"
}
},
"schema": {
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"input": {
"additionalProperties": false,
"properties": {
"body": {
"properties": {
"language": {
"description": "language code (en, es, fr, de, it, pt, ar, hi, ja, ko, zh, zh-TW); detected when omitted",
"type": "string"
},
"text": {
"description": "the text, up to 5000 bytes of UTF-8",
"type": "string"
}
},
"required": [
"text"
]
},
"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": {
"entities": {},
"language": {},
"language_detected": {}
},
"type": "object"
},
"type": {
"type": "string"
}
},
"required": [
"type"
],
"type": "object"
}
},
"required": [
"input"
],
"type": "object"
}
}
},
"lastUpdated": "2026-10-25T20:20:39.783Z",
"quality": {
"l30DaysTotalCalls": 2,
"l30DaysUniquePayers": 2,
"lastCalledAt": "2026-10-25T20:20:39.597Z"
},
"resource": "https://ai.kagurazaka.dev/v1/entities",
"serviceName": "x402 AI Tools",
"tags": [
"named entity recognition",
"ner",
"nlp",
"extraction"
],
"type": "http",
"x402Version": 2
},
"source": "x402_bazaar",
"summary": "Finds named entities (person, location, organization, commercial item, event, date, quantity, title, other) in a text with Amazon Comprehend, with their offsets and scores. Supports en, es, fr, de, it, pt, ar, hi, ja, ko, zh, zh-TW; the language is detected when not given."
}What the leaf hashes
{"body":"f0caae907308e4fd7fc50a58b9106330bc54c1a443a37fe8fcbca03a4a31ac9e","id":64307,"kind":"listing","method":"baseline/1","observed_us":1793025456447166,"prev":null,"subject":"x402_bazaar:https://ai.kagurazaka.dev/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 (296695 rows).
- 0x6abb10f292787e453330f47cbc4686af68ab9b2242d91382a0d640f146167d54
- 0x8d239fc010aa0589ba4951a114869917e6e7ef9f9edc78ec23631cc198380a5e
- 0x1ef512e6a5641be12ad1285ca9084a6e2b96c1450beebba8a56c73adf210b12d
- 0xe4f9460236ca58f8e095a57b9ecb14b5e41705b1aa96e229434c5dffe1098a89
- 0x1e48517dc3558492c5c63fafd417a843f7a1c61b678472ac72f36df74d3f8ccf
- 0x3710498bddb3f7798fe4de8bdc4269c057b01661b9b37b0f8c6995a0eefc0b19
- 0x7a8b886db547bcbe1392df86df5bac6af0c37491695c3c5197cb200edaeb826c
- 0x6650882cf02ae10978cfae702e87a7a2beb270205596c0c276548350adcefbf4
- 0xc683c19105f4cd9fe98d7ee6c7686e30fad932ca0f684c513388993692f12470
- 0x38d2c463ef7581c583f8ede8c591808370e469ec2c5f3189710e20b16d13dd8f
- 0x435232f3fd6b83e88220d17343494fe854d4ecf8a9148117c288f679edde404b
- 0x2a304c51963b65e3ca818b638b2e9a98297b7d6b6a3e14ecca2501aa13b9f556
- 0x9dc4d6f64bc3c323d2c45a28209068cd473b6979bd632a0d694bf94d19bc39df
- 0xfc9b5a81a7a83a1c735a4fe64590beb9db14d2366f463161358af28c3ea9a81d
- 0xa2d436d488e3600b0e5c3e3ed9c9234cd52853c59830b786334fd0c4292d9f40
- 0x47b89901b0f07938a6b9a66ddf35683903f79d756a7c7763665fd632758b08d0
- 0x9a83be955a206deb65b995adfd92c58fa31c95fbbf926bd199d300e70b08b26d
- 0x20704208aa6923d6b2450ef74ede87a6e0265d46447926038fe9506e9e154b2d
- 0x9b9ce5b74b9bab5121612ef6b64920a8d453cbf311096a423eef9702747e868a
- Day root
- 0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8
- Chained
- 0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a
- Published
- On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae