Evidence row 278783

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": 14,
      "l30DaysUniquePayers": 9,
      "lastCalledAt": "2026-10-26T14:25:45.868Z"
    },
    "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":"67ab65df8d442f0197a94f71ecc81d590320b80e57cc94e703bed0f5abdb0fb1","id":278783,"kind":"listing","method":"sync.x402_bazaar/1","observed_us":1793042079308350,"prev":15718,"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. 0x21b717ecfdfc9a0d5690378a275299e825d35370628088bec7124e5d2df1b87a
2. 0x68dd88f63c0db59a10ad3095e811f0d7513e14dc3de1e409f5e44a2c94ad7a7b
3. 0x85df725565c949d486ad55895386f59230263ed1d56e912a7c2c8b8b6b188b1b
4. 0x932aab23fdbd1ac3bc54743044dfd8b49e375fa2a22927315eab5b60c381d9c3
5. 0x20492fc0739cc60479b41303951edfec1bfa83157daf03d1ccec65cadf74f110
6. 0xa98e80bbffd59fc2939938656aa167891c4cac27b50feea1680e4c7f0d6a14a9
7. 0x3de70b4a9639df417e754a7b7be3e93c4c937bbf3055b6cedecb27435ca0e024
8. 0xca3f36126ba8d729ee8456edd437764442c89c0b56de0483dbe83448183ae7d3
9. 0xe60bf97619ac6c7eb964e44d8f98480ae58bba8d1a2bae4d1f737d2e628354eb
10. 0x52a03554eda198dc4680d30e566c1eda71c25f02648bb3a67df331bf196cafc1
11. 0x71f472bb5c514dca2395c7842916e5cae63a9c622d8bc8f84b07a986c5ba91a1
12. 0xfde157310fc8513767b162378ca9ceefb2937c374b7381a8887f7ccba8ab5a80
13. 0x9d75d4d3ab6219edefa04be60b32fdd56be7a7672f370a5115f02f7b098ecd27
14. 0x9dfd312f3d4937f7cb144cee3987e8516f222932b4ea286605236d73cfa1ed16
15. 0xc3a6a3ae44ec0da1848b16d40c45d7aac97a67352eea8df18e0f26edabea8a2f
16. 0x06d71bfa7d8b41d62c8836efc2c601e1cc3772d9453596b2ae4950887f3310ca
17. 0x8c756542e482157df0c36464d75c937b845e4423dbbcfad08f0cf8d5a16b9a13
18. 0x20704208aa6923d6b2450ef74ede87a6e0265d46447926038fe9506e9e154b2d
19. 0x9b9ce5b74b9bab5121612ef6b64920a8d453cbf311096a423eef9702747e868a

Day root

0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8

Chained

0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a

Published

On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae