Evidence row 16620

What was observed

{
  "endpoints": [
    [
      "x402",
      "https://ai.kagurazaka.dev/v1/image-text"
    ]
  ],
  "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 words and lines of text in a photo or screenshot (JPEG or PNG at a URL) with Amazon Rekognition, up to 100 words. Suited to signs, product labels and UI text; for documents use /v1/ocr.",
    "extensions": {
      "bazaar": {
        "info": {
          "input": {
            "body": {
              "url": "https://raw.githubusercontent.com/danielgatis/rembg/main/examples/animal-1.jpg"
            },
            "bodyType": "json",
            "method": "POST",
            "type": "http"
          },
          "output": {
            "example": {
              "detections": [
                {
                  "box": {
                    "height": 0.1,
                    "left": 0.31,
                    "top": 0.2,
                    "width": 0.3
                  },
                  "confidence": 99.2,
                  "text": "OPEN",
                  "type": "line"
                }
              ],
              "text": "OPEN\n24 HOURS"
            },
            "type": "json"
          }
        },
        "schema": {
          "$schema": "https://json-schema.org/draft/2020-12/schema",
          "properties": {
            "input": {
              "additionalProperties": false,
              "properties": {
                "body": {
                  "properties": {
                    "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": {
                    "detections": {},
                    "text": {}
                  },
                  "type": "object"
                },
                "type": {
                  "type": "string"
                }
              },
              "required": [
                "type"
              ],
              "type": "object"
            }
          },
          "required": [
            "input"
          ],
          "type": "object"
        }
      }
    },
    "lastUpdated": "2026-10-26T12:02:09.983Z",
    "quality": {
      "l30DaysTotalCalls": 4,
      "l30DaysUniquePayers": 3,
      "lastCalledAt": "2026-10-26T12:02:09.652Z"
    },
    "resource": "https://ai.kagurazaka.dev/v1/image-text",
    "serviceName": "x402 AI Tools",
    "tags": [
      "ocr",
      "scene text",
      "image",
      "vision"
    ],
    "type": "http",
    "x402Version": 2
  },
  "source": "x402_bazaar",
  "summary": "Detects words and lines of text in a photo or screenshot (JPEG or PNG at a URL) with Amazon Rekognition, up to 100 words. Suited to signs, product labels and UI text; for documents use /v1/ocr."
}

What the leaf hashes

{"body":"287a9364bf253d93634bd2c148bf4c9f6da17b49fe0cf7d296522292190ae376","id":16620,"kind":"listing","method":"sync.x402_bazaar/1","observed_us":1793025324742017,"prev":null,"subject":"x402_bazaar:https://ai.kagurazaka.dev/v1/image-text","subject_kind":"source_record"}

Proof

Fold these into the leaf in order, hashing each sorted pair with keccak256, to reach the root of 2026-10-26 (296695 rows).

1. 0xe9e31e8371a9d7396a6f60f4d437036e8fb5acebe6ef57d7a6dd9a7c89b046f0
2. 0x21ab3bae73a4692033a6ddfaeeb2dae9762f420acbdafbf2b068f8aaaedd4f87
3. 0xab8bf50eaf3c84d0c869bba280b895e8631218a6c00c8b14f48e6b8a2412498a
4. 0x91cc3bd00ba72df438bffdbde7e82e05997e19c0dd00a36456e33bf120c6c229
5. 0x1849208d064e84c5311ef084cafc3f8fd33ab0d33ed9543cf8db98a36f9f7322
6. 0xa2549c5a49fdedc4a94d70d58b7b509df53177358c8970b2215bce404193dea4
7. 0x96f0b8c0e8ef8f8d5c3143f46924bc5e1e3024b83e32372625fe970111303e85
8. 0x15fd4e6b9394a395ddb5cc447e2f71981f3b08ae6141dbb2786fee436d8e3306
9. 0x41b79f71d1afccd3b3ef4c56a8163985b60e558ad76073e70839e77fbc6fcda2
10. 0xeeec22ca7728902ad7b7555da76e832c1a5feb9eab7fbd2016b96e53630a46dd
11. 0x2ec584f2a0466a34409d72f745f85d43c3f2da79c7fe353433c8b601cf9f2050
12. 0x22a204f0cf299dd3152f1542ba9998ff7665390da1ede6e58d06b8a7b2a107ee
13. 0xec98ca25cb12ffed7c3e1373971719ce414ee6deecd1e7724b2979e2c356d99f
14. 0x614d844c9e0509d9f9e63697aa2935555bce5f13695a8dc0047aa9e9898d70b3
15. 0x95657a7d540ed6cac0bde9995782333b2562a9a6641853269ac95148827410f0
16. 0x5fb5dda563336cd1bc1b9f44c52b76237ae72ed2145cb9290f39f304ca7dd678
17. 0x74a0a08e4e7ab9aa5bfbead33dec7e1c7e8e364cff69a63720d764bbe987aadc

Day root

0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8

Chained

0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a

Published

On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae