addrbookFor publishers
← 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).

  1. 0x6abb10f292787e453330f47cbc4686af68ab9b2242d91382a0d640f146167d54
  2. 0x8d239fc010aa0589ba4951a114869917e6e7ef9f9edc78ec23631cc198380a5e
  3. 0x1ef512e6a5641be12ad1285ca9084a6e2b96c1450beebba8a56c73adf210b12d
  4. 0xe4f9460236ca58f8e095a57b9ecb14b5e41705b1aa96e229434c5dffe1098a89
  5. 0x1e48517dc3558492c5c63fafd417a843f7a1c61b678472ac72f36df74d3f8ccf
  6. 0x3710498bddb3f7798fe4de8bdc4269c057b01661b9b37b0f8c6995a0eefc0b19
  7. 0x7a8b886db547bcbe1392df86df5bac6af0c37491695c3c5197cb200edaeb826c
  8. 0x6650882cf02ae10978cfae702e87a7a2beb270205596c0c276548350adcefbf4
  9. 0xc683c19105f4cd9fe98d7ee6c7686e30fad932ca0f684c513388993692f12470
  10. 0x38d2c463ef7581c583f8ede8c591808370e469ec2c5f3189710e20b16d13dd8f
  11. 0x435232f3fd6b83e88220d17343494fe854d4ecf8a9148117c288f679edde404b
  12. 0x2a304c51963b65e3ca818b638b2e9a98297b7d6b6a3e14ecca2501aa13b9f556
  13. 0x9dc4d6f64bc3c323d2c45a28209068cd473b6979bd632a0d694bf94d19bc39df
  14. 0xfc9b5a81a7a83a1c735a4fe64590beb9db14d2366f463161358af28c3ea9a81d
  15. 0xa2d436d488e3600b0e5c3e3ed9c9234cd52853c59830b786334fd0c4292d9f40
  16. 0x47b89901b0f07938a6b9a66ddf35683903f79d756a7c7763665fd632758b08d0
  17. 0x9a83be955a206deb65b995adfd92c58fa31c95fbbf926bd199d300e70b08b26d
  18. 0x20704208aa6923d6b2450ef74ede87a6e0265d46447926038fe9506e9e154b2d
  19. 0x9b9ce5b74b9bab5121612ef6b64920a8d453cbf311096a423eef9702747e868a
Day root
0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8
Chained
0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a
Published
On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae

How to check it · This row as JSON