Evidence row 1262156

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": "2026-10-30T02:57:06.925Z",
    "quality": {
      "l30DaysTotalCalls": 21,
      "l30DaysUniquePayers": 6,
      "lastCalledAt": "2026-10-30T02:57:06.438Z"
    },
    "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":"1a03128e6e697dcbb6d798b569326f41ddb51adabf6609f5b59cd7a9ad07cf9e","id":1262156,"kind":"listing","method":"sync.x402_bazaar/1","observed_us":1793385520438291,"prev":527220,"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 2026-10-30 (243099 rows).

1. 0xdd09046025ee9ef83ec7f6110ee6f5c9bb6a380a5b6c7956e10206b9cbdd8301
2. 0x15747823eb55d8f10f95006f930731b08fd561bdb350d1b5b74d73a584538987
3. 0xf5a78c19b695c6cd159580fe0fc16b74fd71e7e37155103b2aa44afa513d84ff
4. 0xef19abbf6100102cd30b6ebe04c84d570d2bd1b89ad3be93fe3d4228b1ba67b7
5. 0x158cc1740e0716a6f998f8c9abde00d1fee6289809231dbadd80bb4dcf00a7bc
6. 0xe3b81b02ae9b28cb38f5692b80b0ed4a80b26ce51c59e0ecd5cc69ecb5b71cd0
7. 0x6f7140a410b4e0564876c45dbde41c10437e1179ee1b0e0796d99e7c6cb043c1
8. 0x5aae6114138dec324641380b5f4921ec28a1f75317384b6513b52d1e9335c336
9. 0x2281677fcdd3af4293ae0460eacc09f97df3614af8b205c4cf2a4016e952acbb
10. 0xd32ed54391918faccbc9af695c7003c65945249f6463c8ff7c92a5c27c8db5ba
11. 0x292e205f8307bcbefccafac58e38d9bd8b78bbbd37bb0ce706d205da71c5cf7f
12. 0x5a93c3c6caba5329acbb2557fd733fc09280a63cc9d2c7bf97eca13959f7d500
13. 0xde6330cd2fd87d4a03322cd4edc4146f5af228840069c80439e47f69c6b7fbfa
14. 0xbfb4e09ea246d6cb4bd9c9eab033e6c0a787969a9a66a77312e83430b0de95f8
15. 0xf007cd9640267a58ddffce96e27f5682cf5c47530f53dc15dc53e4ccd405c6c9
16. 0xfbe61dc2d59668ac573e5eab865747e21d38bf2fe4c64762beef01f1018a4dea
17. 0x71e74c274b23c9047354edb6dcd2c654415e3986b8bd875dae992996ea12e22b
18. 0x0c43c73b62a5d49ee1444b5dc4195fc5b16b141d3f4458e2e9fbd5fd6ecb367d

Day root

0x0826c7ad6039e06a2360ca0a4a3a4fe7f2626c6dc19f71a37599386f78b39875

Chained

0x36b4c8a1063758f0b8765fa1bdf75fa92fb543cc183add3e261880ee2bd1f822

Published

On Arc Testnet, block 69923247: 0x8704744146c6967c8abc9e9a99de4db7283b29e840922ea83a69b6fe776e6861