Evidence row 61389

What was observed

{
  "endpoints": [
    [
      "x402",
      "https://agent-toolbox.zafermemon87.workers.dev/v1/embed"
    ]
  ],
  "name": "Agent Toolbox",
  "owner_address": "0xa41015022322640f03a895bc439da80ddfd73954",
  "raw": {
    "accepts": [
      {
        "amount": "2000",
        "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
        "extra": {
          "name": "USD Coin",
          "version": "2"
        },
        "maxTimeoutSeconds": 300,
        "network": "eip155:8453",
        "payTo": "0xa41015022322640f03a895bc439da80ddfd73954",
        "scheme": "exact"
      }
    ],
    "description": "Text embeddings with BGE-M3 (multilingual, 1024 dimensions) for search, clustering and RAG: up to 100 texts of up to 8,000 characters per call.",
    "extensions": {
      "bazaar": {
        "info": {
          "input": {
            "body": {
              "texts": [
                "The cat sat on the mat",
                "A feline rested on a rug"
              ]
            },
            "bodyType": "json",
            "method": "POST",
            "type": "http"
          },
          "output": {
            "example": {
              "count": 2,
              "dimensions": 1024,
              "embeddings": [
                [
                  -0.0029201507568359375,
                  0.0237579345703125,
                  -0.083740234375,
                  -0.0017709732055664062,
                  "...1020 more"
                ],
                [
                  -0.0377197265625,
                  0.019805908203125,
                  -0.0533447265625,
                  -0.0042572021484375,
                  "...1020 more"
                ]
              ],
              "model": "bge-m3",
              "plain": "2 embeddings of 1024 dimensions."
            },
            "type": "json"
          }
        },
        "schema": {
          "$schema": "https://json-schema.org/draft/2020-12/schema",
          "properties": {
            "input": {
              "additionalProperties": false,
              "properties": {
                "body": {
                  "properties": {
                    "texts": {
                      "description": "Texts to embed",
                      "items": {
                        "type": "string"
                      },
                      "maxItems": 100,
                      "type": "array"
                    }
                  },
                  "required": [
                    "texts"
                  ],
                  "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": "2026-10-24T23:50:15.855Z",
    "quality": {
      "l30DaysTotalCalls": 2,
      "l30DaysUniquePayers": 2,
      "lastCalledAt": "2026-10-24T23:50:15.418Z"
    },
    "resource": "https://agent-toolbox.zafermemon87.workers.dev/v1/embed",
    "serviceName": "Agent Toolbox",
    "tags": [
      "embeddings",
      "vector",
      "rag",
      "semantic-search",
      "ai"
    ],
    "type": "http",
    "x402Version": 2
  },
  "source": "x402_bazaar",
  "summary": "Text embeddings with BGE-M3 (multilingual, 1024 dimensions) for search, clustering and RAG: up to 100 texts of up to 8,000 characters per call."
}

What the leaf hashes

{"body":"ff890d9d5fb39d7de226d269ad45a10ab4347e52f3c25e5574ea085c0b5ea2a2","id":61389,"kind":"listing","method":"baseline/1","observed_us":1793025450560188,"prev":null,"subject":"x402_bazaar:https://agent-toolbox.zafermemon87.workers.dev/v1/embed","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. 0xe2775b4329786edb779e36eacd8e087003a428918af160627d6008cbb9378243
2. 0x4e83ff4bb9c4cc99c767324d674aa38edefb308e372d7a31ea0d5cd3878dafda
3. 0x9642783f5cbcc2ac82fd06e97183bbbc0123c286f5541f9654120fb2677d4e7d
4. 0x80b3079ef34fc90926ce1aa7db4518f46ec9fb3e56c023d0b1efa23907568d6d
5. 0x933f54b582d2714160a0517aae11ae4d75b312cbdc87111d359ab6d6a79a7cd4
6. 0x81180002c26ed856e72b381e34d9ddc6feea0889141959d9837f6613b70aea26
7. 0xcb127aef99c3181c9e1c24cdd5766a178f258fed23515f68d6199c0f7e37be46
8. 0x6e0ee288c79f59d50f3af25e74b4fc6742c147d0d5746e77fbaea90a48365c0e
9. 0xa5fc2ea4177611a28b7eae6ce407b1a403bfafd3c234c31185c77ef06d4b1ceb
10. 0x763ea9329088103e758b19f76ca53e55082e397d207fb68c791899293a6883a7
11. 0xdf3f95c9d849961694a4ee89abdfac5cbfb97e2ba08a6ad3eefe16691598b4f5
12. 0x8e135936797442c4eea61915f2c9f8f6df06e1322204cd0e6986ada3e54c77cc
13. 0xc0924a0807e534382f518663123231c317124338831a2b310de2c17b09677086
14. 0x9bc5fc98278b9f6dc18c66c6e162aefd5244be03170d41bc5161f58ad11beed7
15. 0x95657a7d540ed6cac0bde9995782333b2562a9a6641853269ac95148827410f0
16. 0x5fb5dda563336cd1bc1b9f44c52b76237ae72ed2145cb9290f39f304ca7dd678
17. 0x74a0a08e4e7ab9aa5bfbead33dec7e1c7e8e364cff69a63720d764bbe987aadc

Day root

0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8

Chained

0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a

Published

On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae