← The evidence ledger
Evidence row 64314
Observed , by baseline/1.
- Kind
- listing
- About
- source_record x402_bazaar:https://ai.kagurazaka.dev/v1/pii
- Recorded
- Previous row
- None: the first of its kind about this subject
- Body SHA-256
- b73fac82ad4bf6d810b7454d9b969a2b4c03ca264c87b716dbaec1a8e416b69c
- Leaf
- 0xd0ee9291bd969c849a279c80a2dd3f3411dd6274b2cbebddfc0c52b595397e70
What was observed
{
"endpoints": [
[
"x402",
"https://ai.kagurazaka.dev/v1/pii"
]
],
"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 personally identifiable information (names, addresses, emails, phone numbers, credit card and bank numbers, SSNs, passwords, IP addresses and more) in English or Spanish text with Amazon Comprehend. Returns each entity's type, offsets and score, and the text with each one replaced by [TYPE].",
"extensions": {
"bazaar": {
"info": {
"input": {
"body": {
"text": "Call John Smith at 555-0100 or email john@example.com."
},
"bodyType": "json",
"method": "POST",
"type": "http"
},
"output": {
"example": {
"entities": [
{
"begin": 5,
"end": 15,
"score": 0.99,
"type": "name"
},
{
"begin": 19,
"end": 27,
"score": 0.99,
"type": "phone"
},
{
"begin": 37,
"end": 53,
"score": 0.99,
"type": "email"
}
],
"language": "en",
"language_detected": true,
"redacted": "Call [NAME] at [PHONE] or email [EMAIL]."
},
"type": "json"
}
},
"schema": {
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"input": {
"additionalProperties": false,
"properties": {
"body": {
"properties": {
"language": {
"description": "en or es; 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": {},
"redacted": {}
},
"type": "object"
},
"type": {
"type": "string"
}
},
"required": [
"type"
],
"type": "object"
}
},
"required": [
"input"
],
"type": "object"
}
}
},
"lastUpdated": "2026-10-25T20:20:43.542Z",
"quality": {
"l30DaysTotalCalls": 2,
"l30DaysUniquePayers": 2,
"lastCalledAt": "2026-10-25T20:20:43.407Z"
},
"resource": "https://ai.kagurazaka.dev/v1/pii",
"serviceName": "x402 AI Tools",
"tags": [
"pii",
"redaction",
"privacy",
"compliance",
"nlp"
],
"type": "http",
"x402Version": 2
},
"source": "x402_bazaar",
"summary": "Finds personally identifiable information (names, addresses, emails, phone numbers, credit card and bank numbers, SSNs, passwords, IP addresses and more) in English or Spanish text with Amazon Comprehend. Returns each entity's type, offsets and score, and the text with each one replaced by [TYPE]."
}What the leaf hashes
{"body":"b73fac82ad4bf6d810b7454d9b969a2b4c03ca264c87b716dbaec1a8e416b69c","id":64314,"kind":"listing","method":"baseline/1","observed_us":1793025456457092,"prev":null,"subject":"x402_bazaar:https://ai.kagurazaka.dev/v1/pii","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).
- 0xd0ee96ccb28acbe25539d8e4a158aa3475459d520946696647d8ab3e860c1c3f
- 0x9f19460f2fb4c0a531c8fd62fe1993fdbe089a81503c71b0cbe785456ba360ff
- 0x811431f82a360afdb140b3eef61b1c56b2a4f9229d388310686af7dcf6fe27c7
- 0x35a43846acee47a36c82ff13208ed3f61963c8684250e7363d85793dbe87e8e5
- 0x8a2dd05135b6f74185b761a519fef19b95b3d60a93c434cfd21ca54639fc51a6
- 0x88e5ea52af80a4abc9ce2006472d8ba762d1586a40db0ed0862185be4bdb5e34
- 0xd80227bb483e78b5722fbac9be69e51912a184cc16d7bfc15aa95688fd53be9a
- 0x8c07613dfd8b3193c4d7b936a874cb0cd9b5662865d9e87e795a38c3ae52ca03
- 0x139ecf4c5f2cb4700abfd1855d00c8b563d745d67c3f27c3e21380f2fbb4cf8e
- 0x0f53b93a25a2f186fd221bd4e152ef492b0cc841c0b870210a5fd6038ba3602e
- 0xcbb746ffeda31ff1f1b0d9f74705fed23a3c2abac5d325d65e8e867a7b5e6307
- 0xa4ec009cd8db00b48fa2e4df84088950b4d34c37254de09f5e3789441c0c5e73
- 0x889eefefef2d4457fe6114f397df813a5cbb85011a6f40309b54ddcd4aba3bd1
- 0xefabf1105e09cf52c12c58e60cbb5048b9ac3f02631d1816a926e14bdd86fbdf
- 0xe94ca5b798e9899ad611e57835af42266e20f53f44977e487d81365e30972beb
- 0x703f95866af09c5e5d6ead7411e9a10f964a41a2aff64d4a55ff0053c023a023
- 0xd0651cb9bc8155eb52b5247d506e74b8a935057dc190ba52091702ac25ed3a40
- 0x9a9024edb5069d88a324facb310a5ce8e495214bbaa968f077bede437390194f
- 0x9b9ce5b74b9bab5121612ef6b64920a8d453cbf311096a423eef9702747e868a
- Day root
- 0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8
- Chained
- 0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a
- Published
- On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae