Evidence row 452287

What was observed

{
  "endpoints": [
    [
      "x402",
      "https://agentsvc.io/api/v1/proxy/text-embed"
    ]
  ],
  "name": "Text Embeddings and Rerank",
  "owner_address": "0x622efa6ceb83a5b6edbc931332f4db68b7f74f27",
  "raw": {
    "accepts": [
      {
        "amount": "2000",
        "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
        "extra": {
          "name": "USD Coin",
          "version": "2"
        },
        "maxTimeoutSeconds": 300,
        "network": "eip155:8453",
        "payTo": "0x622efA6Ceb83a5b6EdBC931332f4db68B7f74F27",
        "scheme": "exact"
      },
      {
        "amount": "2000",
        "asset": "EPjFWdd5AufqSSqeM2qN1xzybapC8G4wEGGkZwyTDt1v",
        "extra": {
          "feePayer": "Hc3sdEAsCGQcpgfivywog9uwtk8gUBUZgsxdME1EJy88"
        },
        "maxTimeoutSeconds": 300,
        "network": "solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp",
        "payTo": "5JzPS5qpEwUM1vTC9GG7uqvwJdHzbEwfoPHf2Ki977tg",
        "scheme": "exact"
      },
      {
        "amount": "2000",
        "asset": "0x3c499c542cEF5E3811e1192ce70d8cC03d5c3359",
        "extra": {
          "name": "USD Coin",
          "version": "2"
        },
        "maxTimeoutSeconds": 300,
        "network": "eip155:137",
        "payTo": "0x622efA6Ceb83a5b6EdBC931332f4db68B7f74F27",
        "scheme": "exact"
      },
      {
        "amount": "2000",
        "asset": "0xaf88d065e77c8cC2239327C5EDb3A432268e5831",
        "extra": {
          "name": "USD Coin",
          "version": "2"
        },
        "maxTimeoutSeconds": 300,
        "network": "eip155:42161",
        "payTo": "0x622efA6Ceb83a5b6EdBC931332f4db68B7f74F27",
        "scheme": "exact"
      }
    ],
    "description": "Sentence embeddings (all-MiniLM-L6-v2, 384 dimensions, L2-normalized, multilingual input works best in English) for semantic search, clustering and deduplication, or rerank mode: pass query + documents to get documents sorted by cosine similarity. Runs locally, texts are not stored. Params: texts (1 to 32 strings, max 2000 chars each) for embed mode, or query + documents (up to 64) and top_k for rerank mode.",
    "extensions": {
      "bazaar": {
        "category": "text",
        "info": {
          "input": {
            "body": {
              "documents": [
                "x402 lets agents pay per call with USDC",
                "The cat sat on the mat",
                "Weather in Berlin is sunny"
              ],
              "query": "how do AI agents pay for APIs?"
            },
            "bodyType": "json",
            "method": "POST",
            "type": "http"
          },
          "output": {
            "example": {
              "data": {
                "mode": "rerank",
                "model": {
                  "dimensions": 384,
                  "max_tokens": 256,
                  "name": "sentence-transformers/all-MiniLM-L6-v2",
                  "normalized": true,
                  "quantization": "int8",
                  "similarity": "cosine (dot product of normalized vectors)"
                },
                "query": "how do AI agents pay for APIs?",
                "results": [
                  {
                    "document": "x402 lets agents pay per call with USDC",
                    "index": 0,
                    "score": 0.495209
                  },
                  {
                    "document": "The cat sat on the mat",
                    "index": 1,
                    "score": 0.005939
                  },
                  {
                    "document": "Weather in Berlin is sunny",
                    "index": 2,
                    "score": -0.050145
                  }
                ]
              },
              "success": true
            },
            "type": "json"
          }
        },
        "schema": {
          "$schema": "https://json-schema.org/draft/2020-12/schema",
          "properties": {
            "input": {
              "additionalProperties": false,
              "properties": {
                "body": {
                  "properties": {
                    "documents": {
                      "items": {
                        "type": "string"
                      },
                      "maxItems": 64,
                      "type": "array"
                    },
                    "include_embeddings": {
                      "default": false,
                      "type": "boolean"
                    },
                    "query": {
                      "type": "string"
                    },
                    "texts": {
                      "items": {
                        "type": "string"
                      },
                      "maxItems": 32,
                      "type": "array"
                    },
                    "top_k": {
                      "maximum": 64,
                      "minimum": 1,
                      "type": "integer"
                    }
                  },
                  "required": []
                },
                "bodyType": {
                  "enum": [
                    "json",
                    "form-data",
                    "text"
                  ],
                  "type": "string"
                },
                "method": {
                  "enum": [
                    "POST",
                    "PUT",
                    "PATCH"
                  ],
                  "type": "string"
                },
                "type": {
                  "const": "http",
                  "type": "string"
                }
              },
              "required": [
                "type",
                "method",
                "bodyType",
                "body"
              ],
              "type": "object"
            },
            "output": {
              "properties": {
                "example": {
                  "properties": {
                    "data": {
                      "properties": {
                        "mode": {
                          "type": "string"
                        },
                        "model": {
                          "properties": {
                            "dimensions": {
                              "type": "integer"
                            },
                            "max_tokens": {
                              "type": "integer"
                            },
                            "name": {
                              "type": "string"
                            },
                            "normalized": {
                              "type": "boolean"
                            },
                            "quantization": {
                              "type": "string"
                            },
                            "similarity": {
                              "type": "string"
                            }
                          },
                          "type": "object"
                        },
                        "query": {
                          "type": "string"
                        },
                        "results": {
                          "items": {
                            "properties": {
                              "document": {
                                "type": "string"
                              },
                              "index": {
                                "type": "integer"
                              },
                              "score": {
                                "type": "number"
                              }
                            },
                            "type": "object"
                          },
                          "type": "array"
                        }
                      },
                      "required": [
                        "mode",
                        "model"
                      ],
                      "type": "object"
                    },
                    "success": {
                      "type": "boolean"
                    }
                  },
                  "required": [
                    "success",
                    "data"
                  ],
                  "type": "object"
                },
                "type": {
                  "type": "string"
                }
              },
              "required": [
                "type"
              ],
              "type": "object"
            }
          },
          "required": [
            "input"
          ],
          "type": "object"
        },
        "tags": [
          "embeddings",
          "text-embeddings",
          "reranking",
          "rerank",
          "semantic-search",
          "vector",
          "rag"
        ]
      },
      "builder-code": {
        "info": {
          "a": "bc_q6wi3opd"
        }
      }
    },
    "iconUrl": "https://res.cloudinary.com/bdb-prod/image/upload/c_fill,ar_1:1,w_256,h_256,f_auto,q_auto/v1791462963/bazaar-icons/243ff0b79dbee242.png",
    "lastUpdated": "2026-10-27T09:48:24.161Z",
    "quality": {
      "l30DaysTotalCalls": 19,
      "l30DaysUniquePayers": 4,
      "lastCalledAt": "2026-10-26T04:01:09.69Z"
    },
    "resource": "https://agentsvc.io/api/v1/proxy/text-embed",
    "serviceName": "Text Embeddings and Rerank",
    "tags": [
      "embeddings",
      "text-embeddings",
      "reranking",
      "rerank",
      "semantic-search"
    ],
    "type": "http",
    "x402Version": 2
  },
  "source": "x402_bazaar",
  "summary": "Sentence embeddings (all-MiniLM-L6-v2, 384 dimensions, L2-normalized, multilingual input works best in English) for semantic search, clustering and deduplication, or rerank mode: pass query + documents to get documents sorted by cosine similarity. Runs locally, texts are not stored. Params: texts (1 to 32 strings, max 2000 chars each) for embed mode, or query + documents (up to 64) and top_k for rerank mode."
}

What the leaf hashes

{"body":"08f71fe71e6478ecf48dbf82a59016a31ed177ab51147a3487a902b9f20d6bad","id":452287,"kind":"listing","method":"sync.x402_bazaar/1","observed_us":1793100520365295,"prev":19257,"subject":"x402_bazaar:https://agentsvc.io/api/v1/proxy/text-embed","subject_kind":"source_record"}

Proof

Fold these into the leaf in order, hashing each sorted pair with keccak256, to reach the root of 2026-10-27 (273461 rows).

1. 0xe8d068f7dc6f4935a575bafda388ab5aadc98ba57644ab1f711d03062d7e9ea8
2. 0x624d56ca9af9808c51bc9bece316292313df5569807b4cd7b32a56742c23a261
3. 0x005487c18c2e78900b5ff8f90ea5632c354e070ffead4cdebacb3dcdf1e19ce7
4. 0x026404e89be1af4bd9fe53edf0194d145315ab6f8a904547e53ae4680db25510
5. 0x8869d56716fcf7d8276c2bf1f722dd60b3d417ab4f890d454262c280f1ab8e31
6. 0x4929403c294410c072c99845b5ec97bbfbe289aa4bd205b8ac446bee7c19a80d
7. 0xb8f80c4a2f8a506acd66c13350506b653ba0e59563618822f47b6436d5f31c30
8. 0x39564bba29f62aa23be76ed42ae3887082bbef91861d7752ddcfd3666c7506d3
9. 0x6801c4b20d737649f82246be42ca8487af8c3c611c4064681d0aad12e67a9846
10. 0x53b13ff6f33cba3fd97ff125897c379e1671c0a0fe32621058f1e9e110f22a82
11. 0x3c861cf142eb751b2220b81059bfcf21056da91d39e1dc3b54eb4cf7ac64da25
12. 0x555cdc5682ffc7c8210a3ce0f57c03bc80456dce0d2723d1de26e7d1e57b0f94
13. 0xab6eb305329046d5ccb835dd8ca955f794e3ca110379a94dbdc780d016448561
14. 0x41f9f462759cb539183e979fb3eb967d94755cf039c44a64a9a3c4ad97523cfd
15. 0x56f7109d4cde42492651beb1237c13cdcbf95e6fee2b2482391a2388e04c4629
16. 0x8745bd887f5ce9f7a49558fd2b04cdcd97a05ea9f8a23f62d0e80cb13d328b0f
17. 0xdf1105afdc109de3c09a98fc8a3864159ad964e6f49b635c105a27a1e1f14310
18. 0x2bf8151e5f157dd183b9de6fa00469551932a7a6e3f33a694895000ac9061197
19. 0x9fc354c0ea3efc3f1b6548bb77ea902a50f2c9647647ea61592efce2bd795699

Day root

0xdd77e5e99da32c3f154180d63e3c3e6fe11e896a2c6896412ef6b5c4bcf7e795

Chained

0x23bb4dfd09f55c15ac3962f53578e02c6114d5bfd9bb451cf8794fb6e2817ef4

Published

On Arc Testnet, block 69414147: 0xb2ebd83aafeb765a0ce66e76aefb133ed06606c98038fd56191e2bcd1dcb77b4