Evidence row 1262538

What was observed

{
  "endpoints": [
    [
      "x402",
      "https://agents.crowdspark.me/v1/text/similarity"
    ]
  ],
  "name": "Agent Tools",
  "owner_address": "0x0dea0030a17bf886543a757c55924710258c2eec",
  "raw": {
    "accepts": [
      {
        "amount": "3000",
        "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
        "extra": {
          "name": "USD Coin",
          "version": "2"
        },
        "maxTimeoutSeconds": 300,
        "network": "eip155:8453",
        "payTo": "0x0dEA0030A17BF886543a757c55924710258c2eec",
        "scheme": "exact"
      }
    ],
    "description": "Semantic similarity of two texts for RAG, dedupe and matching: JSON body {a, b}, each up to 8,000 chars, any language. Returns a cosine score from bge-m3 embeddings plus a rough band (near_duplicate, high, related, weak, unrelated). Texts are not stored.",
    "extensions": {
      "bazaar": {
        "info": {
          "input": {
            "body": {
              "a": "The cat sat on the mat.",
              "b": "A cat was sitting on a rug."
            },
            "bodyType": "json",
            "method": "POST",
            "type": "http"
          },
          "output": {
            "example": {
              "band": "high",
              "chars": {
                "a": 23,
                "b": 27
              },
              "dimensions": 1024,
              "metric": "cosine",
              "model": "baai/bge-m3",
              "similarity": 0.8123
            },
            "type": "json"
          }
        },
        "schema": {
          "$schema": "https://json-schema.org/draft/2020-12/schema",
          "properties": {
            "input": {
              "additionalProperties": false,
              "properties": {
                "body": {
                  "properties": {
                    "a": {
                      "description": "First text, max 8,000 characters",
                      "type": "string"
                    },
                    "b": {
                      "description": "Second text, max 8,000 characters",
                      "type": "string"
                    }
                  },
                  "required": [
                    "a",
                    "b"
                  ],
                  "type": "object"
                },
                "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": "2026-10-30T15:42:02.099Z",
    "quality": {
      "l30DaysTotalCalls": 1,
      "l30DaysUniquePayers": 1,
      "lastCalledAt": "2026-10-30T15:42:01.872Z"
    },
    "resource": "https://agents.crowdspark.me/v1/text/similarity",
    "serviceName": "Agent Tools",
    "type": "http",
    "x402Version": 2
  },
  "source": "x402_bazaar",
  "summary": "Semantic similarity of two texts for RAG, dedupe and matching: JSON body {a, b}, each up to 8,000 chars, any language. Returns a cosine score from bge-m3 embeddings plus a rough band (near_duplicate, high, related, weak, unrelated). Texts are not stored."
}

What the leaf hashes

{"body":"58395f41acddbc029578fe01626ad96f71895f11351d53b72c5a5b133398b714","id":1262538,"kind":"listing","method":"sync.x402_bazaar/1","observed_us":1793385567140049,"prev":null,"subject":"x402_bazaar:https://agents.crowdspark.me/v1/text/similarity","subject_kind":"source_record"}

Proof

Fold these into the leaf in order, hashing each sorted pair with keccak256, to reach the root of 2026-10-30 (243099 rows).

1. 0x70f87bb94e77a0535d12b7bbe77ed9baea1f53f9679d09c40ccee8e1342f828a
2. 0x4cc126998cfb8c60e378918ce3df7926418c363dac64c1464eb673ae466b021e
3. 0xf7df6fd07100b56f2cbd1095670e8fe6c0c04ccebf853ff55d42d4a3b0a3a3b5
4. 0x1e6094a1d369d9d84e9580dfac76aadbed00e5cc2e96cad2d9b6fe404e2ab29e
5. 0xe3fc5336d6bc2ed1fedb9de96713d9192351fd4fb1f279c22e3582da5c19d7cb
6. 0x906e10154ef88945d6a0b850e5d7088e61e3130c24df2021d6976bb4c1f92f63
7. 0xa35856e5b5abcdfd4ed9ac0004689e6690a8fd7bc7d624f4baa2301bd1072f2e
8. 0x9f0466f86e76edd7f3327aed10ea46f0c9349bacbf58e5c3aabfb0535abe5019
9. 0xd3bd3b8490ec392cec73998e0907adae15fc407a60d1fb8fdaa3961c857da6f4
10. 0xd8805b57b8f679ea2dbb4db8b2eb3baa106784f44a354af3a6ceb1eb4eef7739
11. 0x28987b9f71c206122382f7fd19141c8c787b379d262d6cdcbf2d96b0ae63171e
12. 0xead7b9b5ca26a82aafe5ba5c839f18ecb3ec6cb926cf44fbd987b4ff6db22ac6
13. 0xc49b39d1d5f1a9f4fc18bb83adeb6cd4a85dbf836296581eb9e9e717cc889fd7
14. 0x75bcbdd2a0d7acdea21f6011126339c8e33a476ec0a76842480cf5bf70db6a72
15. 0xdf25f5d38e3fb54d3e66e3bf876db529f619041e0d21f0bc35b80003418e3d9c
16. 0xdbaaffa44665d1fa60d33d2c4075bd87629b76d01a6ee63e621e78590303b56d
17. 0xffe660edb9e5c6e3449a49454634c3e7b2f9fe703e5697f723b021735647ab7e
18. 0x30a81d8fcef4e8f9e2877c62796cfc5612fc1b251127d531dee28f8dbd5c5147

Day root

0x0826c7ad6039e06a2360ca0a4a3a4fe7f2626c6dc19f71a37599386f78b39875

Chained

0x36b4c8a1063758f0b8765fa1bdf75fa92fb543cc183add3e261880ee2bd1f822

Published

On Arc Testnet, block 69923247: 0x8704744146c6967c8abc9e9a99de4db7283b29e840922ea83a69b6fe776e6861