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Evidence row 75665

Observed , by baseline/1.

Kind
listing
About
source_record x402_bazaar:https://furigana.agentic-jp.com/name-readings
Recorded
Previous row
None: the first of its kind about this subject
Body SHA-256
2287e148274a31559362dcb96473fb3ff39b13085fa5a8203e5ddd32ddd150fd
Leaf
0x118248ba494b0846907517d9409cac44dcff28ca86ca07d5aa2dbc4ef62eb005

What was observed

{
  "endpoints": [
    [
      "x402",
      "https://furigana.agentic-jp.com/name-readings"
    ]
  ],
  "name": "furigana.agentic-jp.com/name-readings",
  "owner_address": "0x38c9f689274e2fc3ae360744ef88ce212077a584",
  "raw": {
    "accepts": [
      {
        "amount": "5000",
        "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
        "extra": {
          "name": "USD Coin",
          "resource": "https://furigana.agentic-jp.com/name-readings",
          "version": "2"
        },
        "maxTimeoutSeconds": 300,
        "network": "eip155:8453",
        "payTo": "0x38c9F689274E2fC3AE360744eF88ce212077a584",
        "scheme": "exact"
      },
      {
        "amount": "5000",
        "asset": "0x3c499c542cEF5E3811e1192ce70d8cC03d5c3359",
        "extra": {
          "name": "USD Coin",
          "resource": "https://furigana.agentic-jp.com/name-readings",
          "version": "2"
        },
        "maxTimeoutSeconds": 300,
        "network": "eip155:137",
        "payTo": "0x38c9F689274E2fC3AE360744eF88ce212077a584",
        "scheme": "exact"
      },
      {
        "amount": "5000",
        "asset": "EPjFWdd5AufqSSqeM2qN1xzybapC8G4wEGGkZwyTDt1v",
        "extra": {
          "feePayer": "BFK9TLC3edb13K6v4YyH3DwPb5DSUpkWvb7XnqCL9b4F",
          "resource": "https://furigana.agentic-jp.com/name-readings"
        },
        "maxTimeoutSeconds": 300,
        "network": "solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp",
        "payTo": "2BTzdCAcCLaNA2SSZ1YjJvTtscNCpUMUEjLY3LyBpNMk",
        "scheme": "exact"
      }
    ],
    "description": "List the possible readings of a Japanese (JP) name — person, company, or place — each with a probability, since names like 山崎 (やまざき / やまさき) are ambiguous without context. Returns hiragana, katakana, and romaji per candidate. Use for CRM name-matching, furigana fields, and call-list preparation.",
    "extensions": {
      "bazaar": {
        "info": {
          "input": {
            "body": {
              "name": "山崎太郎",
              "name_type": "person"
            },
            "bodyType": "json",
            "method": "POST",
            "type": "http"
          },
          "output": {
            "example": {
              "candidates": [
                {
                  "probability": 0.68,
                  "reading_hiragana": "やまざきたろう",
                  "reading_romaji": "Yamazaki Taro"
                },
                {
                  "probability": 0.32,
                  "reading_hiragana": "やまさきたろう",
                  "reading_romaji": "Yamasaki Taro"
                }
              ],
              "confidence": 0.85,
              "input": "山崎太郎"
            },
            "type": "json"
          }
        },
        "schema": {
          "$schema": "https://json-schema.org/draft/2020-12/schema",
          "properties": {
            "input": {
              "additionalProperties": false,
              "properties": {
                "body": {
                  "properties": {
                    "name": {
                      "description": "A Japanese name (person/company/place)",
                      "maxLength": 200,
                      "type": "string"
                    },
                    "name_type": {
                      "enum": [
                        "person",
                        "company",
                        "place"
                      ],
                      "type": "string"
                    }
                  },
                  "required": [
                    "name"
                  ]
                },
                "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": {
                  "type": "object"
                },
                "type": {
                  "type": "string"
                }
              },
              "required": [
                "type"
              ],
              "type": "object"
            }
          },
          "required": [
            "input"
          ],
          "type": "object"
        }
      }
    },
    "lastUpdated": "2026-10-08T13:06:34.241Z",
    "quality": {
      "l30DaysTotalCalls": 2,
      "l30DaysUniquePayers": 2,
      "lastCalledAt": "2026-10-08T13:06:33.347Z"
    },
    "resource": "https://furigana.agentic-jp.com/name-readings",
    "type": "http",
    "x402Version": 2
  },
  "source": "x402_bazaar",
  "summary": "List the possible readings of a Japanese (JP) name — person, company, or place — each with a probability, since names like 山崎 (やまざき / やまさき) are ambiguous without context. Returns hiragana, katakana, and romaji per candidate. Use for CRM name-matching, furigana fields, and call-list preparation."
}

What the leaf hashes

{"body":"2287e148274a31559362dcb96473fb3ff39b13085fa5a8203e5ddd32ddd150fd","id":75665,"kind":"listing","method":"baseline/1","observed_us":1793025490962461,"prev":null,"subject":"x402_bazaar:https://furigana.agentic-jp.com/name-readings","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. 0x11820651fd132ca642de7b6aca40400ecc93ca38f9ea736505336b5b6123abf1
  2. 0x37637395c41319e08b00d3cb59aac6ba5eec1c35a8f4a70cbab14be192c93a4a
  3. 0x96f80833049a9348570ef33f77092a597cc2e9b2e737dcf7d50dd3e73c975291
  4. 0x6689c211af3994d38d002c82fdf7fb164a42355e0e0d17807846f40744de3c84
  5. 0x4c114ef3dd672aba7ff1687c0863f155c22a43082f90100694414f24047f795c
  6. 0x64b54e7476fb98d0804b52e37fa40a1929e6a3d0afca93efe04d1c2f4a60b7e4
  7. 0x708cf8ea61f08dfc3c4f31476a00a3f1213976cfc7a73f270dc9a1b1b3bd9ac3
  8. 0x780a3576c7d927124c59b571e86801e4afb554c1c3d64fd257400fdee83c4eef
  9. 0x90c81e0dacb4c443b1a82c1637adcc6c98ae484d805a589fb55ce0f8f0af16c0
  10. 0x59eeaadc4738eed3343bd128dc8e9beeacada4d8b43799e35d914cb411b97394
  11. 0xb3d22f508aaf8117a0a5454390284c48363baa096e225b30af56d708d8dcd0b3
  12. 0xc02d9eff6ef94d46d90d54320548f18fc3f05787047265548577569253c19969
  13. 0x294f7935f78a896b5f246a7c9a7ee1b023720acdb03fff3cd549c63479848ec9
  14. 0xb49e8c2564256e5322e375cb619d9ac70fd17c1d1eba9c991bba4cb6428f45cc
  15. 0x60582ab4b41e72eb70eb0bce07fbf0fb4d2b62a8bad5be50f5d16d511adc746c
  16. 0xc6a4d7899a0f442958e26505011190b7cff2483611c1b94eba9043e0ba9ac36e
  17. 0x8c756542e482157df0c36464d75c937b845e4423dbbcfad08f0cf8d5a16b9a13
  18. 0x20704208aa6923d6b2450ef74ede87a6e0265d46447926038fe9506e9e154b2d
  19. 0x9b9ce5b74b9bab5121612ef6b64920a8d453cbf311096a423eef9702747e868a
Day root
0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8
Chained
0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a
Published
On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae

How to check it · This row as JSON