Evidence row 15718

What was observed

{
  "endpoints": [
    [
      "x402",
      "https://api.x402ai.dev/api/embed"
    ]
  ],
  "name": "x402ai",
  "owner_address": "0xece637d74ab1a000abcf69956e22f1131501ae8b",
  "raw": {
    "accepts": [
      {
        "amount": "10000",
        "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
        "extra": {
          "name": "USD Coin",
          "version": "2"
        },
        "maxTimeoutSeconds": 300,
        "network": "eip155:8453",
        "payTo": "0xecE637d74aB1a000abcf69956e22f1131501ae8b",
        "scheme": "exact"
      }
    ],
    "description": "Convert text into a 768-dimension embedding vector (nomic-embed-text) for semantic search, RAG retrieval, clustering, deduplication or similarity scoring. POST JSON {\"input\": string}, up to 3000 characters; returns {embedding: number[768], model, dimensions, elapsed_ms}. One text per call; English works best.",
    "extensions": {
      "bazaar": {
        "info": {
          "input": {
            "body": {
              "input": "The quick brown fox jumps over the lazy dog."
            },
            "bodyType": "json",
            "method": "POST",
            "type": "http"
          },
          "output": {
            "example": {
              "dimensions": 768,
              "elapsed_ms": 85,
              "embedding": [
                0.012,
                -0.034,
                0.056
              ],
              "model": "nomic-embed-text"
            },
            "type": "json"
          }
        },
        "schema": {
          "$schema": "https://json-schema.org/draft/2020-12/schema",
          "properties": {
            "input": {
              "additionalProperties": false,
              "properties": {
                "body": {
                  "properties": {
                    "input": {
                      "description": "Text to embed. 1-3000 characters; longer input is rejected with HTTP 400.",
                      "maxLength": 3000,
                      "minLength": 1,
                      "type": "string"
                    }
                  },
                  "required": [
                    "input"
                  ]
                },
                "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": {
                  "properties": {
                    "dimensions": {
                      "description": "Always 768",
                      "type": "integer"
                    },
                    "elapsed_ms": {
                      "type": "integer"
                    },
                    "embedding": {
                      "description": "768-dimension embedding vector",
                      "items": {
                        "type": "number"
                      },
                      "type": "array"
                    },
                    "model": {
                      "type": "string"
                    }
                  },
                  "required": [
                    "embedding",
                    "dimensions"
                  ],
                  "type": "object"
                },
                "type": {
                  "type": "string"
                }
              },
              "required": [
                "type"
              ],
              "type": "object"
            }
          },
          "required": [
            "input"
          ],
          "type": "object"
        }
      }
    },
    "lastUpdated": "2026-10-26T14:25:46.29Z",
    "quality": {
      "l30DaysTotalCalls": 13,
      "l30DaysUniquePayers": 9,
      "lastCalledAt": "2026-10-22T21:30:53.569Z"
    },
    "resource": "https://api.x402ai.dev/api/embed",
    "serviceName": "x402ai",
    "tags": [
      "embeddings",
      "vector-search",
      "rag",
      "semantic-search",
      "nlp"
    ],
    "type": "http",
    "x402Version": 2
  },
  "source": "x402_bazaar",
  "summary": "Convert text into a 768-dimension embedding vector (nomic-embed-text) for semantic search, RAG retrieval, clustering, deduplication or similarity scoring. POST JSON {\"input\": string}, up to 3000 characters; returns {embedding: number[768], model, dimensions, elapsed_ms}. One text per call; English works best."
}

What the leaf hashes

{"body":"a5987be72fedb4cfe78f13ba4462663261a369c41ed1315a935e766ab0670e09","id":15718,"kind":"listing","method":"sync.x402_bazaar/1","observed_us":1793025321274661,"prev":null,"subject":"x402_bazaar:https://api.x402ai.dev/api/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. 0x24f216c547c8350cd9d22630c818ebc56f24d62816c40f96ce41bac3bf572564
2. 0x238db93c5bf238fe06bc940930a053d361d305774b0e11f8006c210801d2fe02
3. 0x12f008798afb8251d4558a1ca7b4c08aaf7eb61edc7e62f4c0cd90fbe72ceaf7
4. 0x4e16f11f93bc640bf189afbad04d4fc67a5668813bf2fa12c33182679c17f9c3
5. 0xe2d27b12bb17c000a949014e77d6d8cc7f423db69f21b2173cf9f174c7a6d49b
6. 0x8b3c796c3eb545c8dc28498ef838cfaa1e2f01be082d1c400c828be6797fa043
7. 0x533f8b01ba2fb7b7db6ebe731ce1b98dc8e1b7cfcf6a842e4837fc199ba8a0fe
8. 0xdc438d1ad211725334e534e98281d00f7bad5341966702baad60037c2410cc41
9. 0xbc781e6c530daa7c3ac72f126a5bbc27a9aee79748aa2d5017f95d3457c94154
10. 0xa3e719d02f51b46be66819cdf2d71d951df05065c30197eda7848e688a094863
11. 0xcd59d6e87f33016070792bd627b1f58155e890e1fdf84deab560cdcb1c986874
12. 0x2ceb9cc3a43f479e6ab73db5d3d474a93995fb4188ee45f71846b4cf537a0016
13. 0x830b2c874449c7499489eba2baa67d49f991298225763c0161b471621038d0fb
14. 0xd843afcced75dedd39194ff9bd12326b88099e6112686db2299392d022dc3146
15. 0xc3a6a3ae44ec0da1848b16d40c45d7aac97a67352eea8df18e0f26edabea8a2f
16. 0x06d71bfa7d8b41d62c8836efc2c601e1cc3772d9453596b2ae4950887f3310ca
17. 0x8c756542e482157df0c36464d75c937b845e4423dbbcfad08f0cf8d5a16b9a13
18. 0x20704208aa6923d6b2450ef74ede87a6e0265d46447926038fe9506e9e154b2d
19. 0x9b9ce5b74b9bab5121612ef6b64920a8d453cbf311096a423eef9702747e868a

Day root

0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8

Chained

0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a

Published

On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae