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Evidence row 64508

Observed , by baseline/1.

Kind
listing
About
source_record x402_bazaar:https://api.17711.xyz/registry/emoji-match-service/v1/emoji-match/suggest_emojis
Recorded
Previous row
None: the first of its kind about this subject
Body SHA-256
a1074a43cdca1433abefc9b7e6d8a5345c29f031974c494cc25d12f5ca37c469
Leaf
0xb520396450ad5e0a1375e61c5412acad027196673d70b5e04d8c312f1bc4fb92

What was observed

{
  "endpoints": [
    [
      "x402",
      "https://api.17711.xyz/registry/emoji-match-service/v1/emoji-match/suggest_emojis"
    ]
  ],
  "name": "17711 Emoji Match",
  "owner_address": "0x669c13f029072f98796d8bca3e6a04ae791ea281",
  "raw": {
    "accepts": [
      {
        "amount": "2000",
        "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
        "extra": {
          "assetTransferMethod": "eip3009",
          "name": "USD Coin",
          "version": "2"
        },
        "maxTimeoutSeconds": 120,
        "network": "eip155:8453",
        "payTo": "0x669c13f029072f98796d8bca3e6a04ae791ea281",
        "scheme": "exact"
      }
    ],
    "description": "Emoji suggester: picks 1-5 emoji matching a text (18 languages, English/French best), no LLM",
    "extensions": {
      "bazaar": {
        "info": {
          "input": {
            "body": {
              "text": "string"
            },
            "bodyType": "json",
            "method": "POST",
            "type": "http"
          },
          "output": {
            "example": {
              "emojis": [
                "string"
              ],
              "matched_language": "string"
            },
            "type": "json"
          }
        },
        "schema": {
          "$schema": "https://json-schema.org/draft/2020-12/schema",
          "properties": {
            "input": {
              "properties": {
                "body": {
                  "properties": {
                    "text": {
                      "description": "The text to analyze. Works best in English or French; best-effort for 16 other languages\n(see the tool's own description). Truncated to a reasonable length before analysis if\nvery long -- the response reflects the truncated text, not the full input.",
                      "type": "string"
                    }
                  },
                  "required": [
                    "text"
                  ],
                  "title": "SuggestEmojisRequest",
                  "type": "object"
                },
                "bodyType": {
                  "const": "json"
                },
                "method": {
                  "const": "POST"
                },
                "type": {
                  "const": "http"
                }
              },
              "required": [
                "type",
                "method",
                "bodyType",
                "body"
              ],
              "type": "object"
            },
            "output": {
              "properties": {
                "example": {
                  "properties": {
                    "emojis": {
                      "description": "1 to 5 emoji matching the text's lexicon/meaning, most relevant first.",
                      "items": {
                        "type": "string"
                      },
                      "type": "array"
                    },
                    "matched_language": {
                      "description": "Which language (ISO 639-1 code, e.g. \"en\"/\"fr\") the best match was found in -- the input\nis stemmed and scored against every supported language, and this reports which one\nactually produced the result, useful to gauge match confidence for an unfamiliar language.",
                      "type": "string"
                    }
                  },
                  "required": [
                    "emojis",
                    "matched_language"
                  ],
                  "title": "SuggestEmojisResponse",
                  "type": "object"
                },
                "type": {
                  "const": "json"
                }
              },
              "required": [
                "type"
              ],
              "type": "object"
            }
          },
          "required": [
            "input"
          ],
          "type": "object"
        }
      }
    },
    "lastUpdated": "2026-10-09T12:59:07.84Z",
    "quality": {
      "l30DaysTotalCalls": 6,
      "l30DaysUniquePayers": 1,
      "lastCalledAt": "2026-10-12T09:19:30.416Z"
    },
    "resource": "https://api.17711.xyz/registry/emoji-match-service/v1/emoji-match/suggest_emojis",
    "serviceName": "17711 Emoji Match",
    "tags": [
      "emoji",
      "emoji-suggestion",
      "multilingual",
      "text",
      "nlp"
    ],
    "type": "http",
    "x402Version": 2
  },
  "source": "x402_bazaar",
  "summary": "Emoji suggester: picks 1-5 emoji matching a text (18 languages, English/French best), no LLM"
}

What the leaf hashes

{"body":"a1074a43cdca1433abefc9b7e6d8a5345c29f031974c494cc25d12f5ca37c469","id":64508,"kind":"listing","method":"baseline/1","observed_us":1793025456749564,"prev":null,"subject":"x402_bazaar:https://api.17711.xyz/registry/emoji-match-service/v1/emoji-match/suggest_emojis","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. 0xb520768f8d2cdfabec583df6f1486f76d1889d1699b53716faf19e25609de430
  2. 0x8e03462ece9b9b3c8c8ae8cdd7bf4b331038e653428b6f95e3218806e8af538f
  3. 0x8968c1d2f6bdd29d813a83306dd0de9766692d6e202270c0a0777da7f08f7ce2
  4. 0xe4f98be4e94ce73c7fce2d23ce7cbe63abfc2bafd1f1cd8f2be2773919204515
  5. 0x565bb45235860fb7795bb07f397aa34741a7a940d525a9e633f97504bed1ce8d
  6. 0x55df0f30c7b1a368b704a57eb2759215796851746c96db7f4b0ed3e09f4203c4
  7. 0xfeeb1e49a49256e584fbb008f27bafff45be61d649a697d12c7b6d01c6b5751b
  8. 0x680fc8222609bd48afa303e42aa1562220a6e6e5d5ec9511132276beb203f8e7
  9. 0xe0c664b31303a6c7f8fbaa1bd9d8448f1bfdaffa28aa9e6c1388aac3eba89c11
  10. 0x29d8926a104518c165350885a541887278c9813fe33bc83e56dff05bb21358ce
  11. 0x0f199646652e20987f8f0e4e8bd21993538b0737cd758d5cbc6ebcaaa02763a3
  12. 0x7a0f1751de1946feff7d8c8afc737dcc4d35f110809c15aa0fdb8363a9e31b2b
  13. 0x0d86419ca1dd0b62fd8b22ea2e8c74d441312cec3116a467bea429b43e026565
  14. 0x083427e39db4dd470662401f6db5db8fadf084fc4274cf8621b368416952b78b
  15. 0x1a74ed3b3756b9cd946da49701bcec120ec88645013da99fa9eea60b39e1a570
  16. 0x123ec8bee20ddc55223eeef5a4f4d6c4b6416515adbb911c56759f5cde56e452
  17. 0xd0651cb9bc8155eb52b5247d506e74b8a935057dc190ba52091702ac25ed3a40
  18. 0x9a9024edb5069d88a324facb310a5ce8e495214bbaa968f077bede437390194f
  19. 0x9b9ce5b74b9bab5121612ef6b64920a8d453cbf311096a423eef9702747e868a
Day root
0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8
Chained
0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a
Published
On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae

How to check it · This row as JSON