Evidence row 64315

What was observed

{
  "endpoints": [
    [
      "x402",
      "https://ai.kagurazaka.dev/v1/sentiment"
    ]
  ],
  "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": "Classifies the sentiment of a text with Amazon Comprehend and returns the score of each class. 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": {
              "language": "en",
              "language_detected": true,
              "scores": {
                "mixed": 0.0007,
                "negative": 0.0012,
                "neutral": 0.011,
                "positive": 0.9871
              },
              "sentiment": "positive"
            },
            "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": {
                    "language": {},
                    "language_detected": {},
                    "scores": {},
                    "sentiment": {}
                  },
                  "type": "object"
                },
                "type": {
                  "type": "string"
                }
              },
              "required": [
                "type"
              ],
              "type": "object"
            }
          },
          "required": [
            "input"
          ],
          "type": "object"
        }
      }
    },
    "lastUpdated": "2026-10-25T20:35:34.749Z",
    "quality": {
      "l30DaysTotalCalls": 2,
      "l30DaysUniquePayers": 2,
      "lastCalledAt": "2026-10-25T20:35:34.579Z"
    },
    "resource": "https://ai.kagurazaka.dev/v1/sentiment",
    "serviceName": "x402 AI Tools",
    "tags": [
      "sentiment analysis",
      "nlp",
      "text",
      "reviews"
    ],
    "type": "http",
    "x402Version": 2
  },
  "source": "x402_bazaar",
  "summary": "Classifies the sentiment of a text with Amazon Comprehend and returns the score of each class. 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":"9b108a06910542920e3c32d4588368ab07ab85147953d0bb43286bdaadc30ce4","id":64315,"kind":"listing","method":"baseline/1","observed_us":1793025456458410,"prev":null,"subject":"x402_bazaar:https://ai.kagurazaka.dev/v1/sentiment","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. 0x6dbef2a63ed7c09e6193a2a2fee070c9bff080cf3b0e906b26c1f35ccea36cf8
2. 0xc4a04fd33e4bab4af78287425a681d2c53d20fae209f12234731302b94a463cd
3. 0xfc0aee11fe66328f8380501349e62c71feb4b381268c6494140f0e9c14236e3a
4. 0x6488dd0e84b9df2122f35ae1fb8feed8bd542b8913951975462060759fe14b34
5. 0x9629b3309988884a463b1d170ae9384e3e612fcbe03685eaf63d34430092356c
6. 0x037232330eeb46aa786c05cd0e449dcdf8aee35d8a525cff19c7816935d24048
7. 0x680d6a0b3e4598e6030bcc331e0e9a545e98aa0b461976fbd2b2181a47a9fe0c
8. 0xccfb2d04d99699f66fdfce3f3744eeea7c92a4a8311598f30f67805b93c4d2a3
9. 0x6adb3bcab707006cadbe14e2119898c9ee7b51117b9aa82e38b5e0fb04bcac8d
10. 0xf5aa2bc3e76b3f95fd71f83b9a054df718f7d0a19b90288120c902f644e9e605
11. 0x3167834b22bda59442a4af0440d698d3a42612c3d6ce4e293e0fa97975320c38
12. 0x134f9b6d26973548d1c789e6b61a12b25e2a5a8fb632e692cd20a1b08d766a1b
13. 0x14b83e3bc6587240f31cd033d09d131e0775b7b00aada9042597008a70399013
14. 0xfc9b5a81a7a83a1c735a4fe64590beb9db14d2366f463161358af28c3ea9a81d
15. 0xa2d436d488e3600b0e5c3e3ed9c9234cd52853c59830b786334fd0c4292d9f40
16. 0x47b89901b0f07938a6b9a66ddf35683903f79d756a7c7763665fd632758b08d0
17. 0x9a83be955a206deb65b995adfd92c58fa31c95fbbf926bd199d300e70b08b26d
18. 0x20704208aa6923d6b2450ef74ede87a6e0265d46447926038fe9506e9e154b2d
19. 0x9b9ce5b74b9bab5121612ef6b64920a8d453cbf311096a423eef9702747e868a

Day root

0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8

Chained

0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a

Published

On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae