Evidence row 1261915

What was observed

{
  "endpoints": [
    [
      "x402",
      "https://quickbuild.quynguyenbac.workers.dev/api/image"
    ]
  ],
  "name": "QuickBuild",
  "owner_address": "0x751a4c3841be287544c371b4ee09bd3366aea7cf",
  "raw": {
    "accepts": [
      {
        "amount": "10000",
        "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
        "extra": {
          "name": "USD Coin",
          "version": "2"
        },
        "maxTimeoutSeconds": 300,
        "network": "eip155:8453",
        "payTo": "0x751a4c3841bE287544C371B4EE09Bd3366AeA7cf",
        "scheme": "exact"
      }
    ],
    "description": "Generate an original 1024x1024 image from a text prompt with FLUX.1 [schnell] on Workers AI (about 2-5 s). Returns JSON with image_base64 + mimeType, or the raw image bytes with format=jpeg. Content policy: no sexual/nude, gore, hate, real or famous people, or ID documents/currency; such prompts get HTTP 400 and are not charged. All params optional: with no prompt a sample watercolor lighthouse is drawn.",
    "extensions": {
      "bazaar": {
        "info": {
          "input": {
            "method": "GET",
            "queryParams": {
              "prompt": "a cozy watercolor illustration of a lighthouse on a cliff at sunrise"
            },
            "type": "http"
          },
          "output": {
            "example": {
              "bytes": 588000,
              "height": 1024,
              "image_base64": "/9j/4AAQSkZJRg...",
              "mimeType": "image/jpeg",
              "model": "@cf/black-forest-labs/flux-1-schnell",
              "prompt": "a cozy watercolor illustration of a lighthouse on a cliff at sunrise",
              "steps": 4,
              "width": 1024
            },
            "type": "json"
          }
        },
        "schema": {
          "$schema": "https://json-schema.org/draft/2020-12/schema",
          "properties": {
            "input": {
              "additionalProperties": false,
              "properties": {
                "method": {
                  "enum": [
                    "GET"
                  ],
                  "type": "string"
                },
                "queryParams": {
                  "properties": {
                    "format": {
                      "description": "json (default): {image_base64, mimeType,...}; jpeg: raw image bytes.",
                      "enum": [
                        "json",
                        "jpeg"
                      ],
                      "type": "string"
                    },
                    "prompt": {
                      "description": "What to draw (max 1000 chars). Optional: defaults to a watercolor lighthouse.",
                      "type": "string"
                    },
                    "steps": {
                      "description": "Diffusion steps, more = more detail (default 4).",
                      "maximum": 8,
                      "minimum": 1,
                      "type": "integer"
                    }
                  },
                  "required": [],
                  "type": "object"
                },
                "type": {
                  "const": "http",
                  "type": "string"
                }
              },
              "required": [
                "type",
                "method"
              ],
              "type": "object"
            },
            "output": {
              "properties": {
                "example": {
                  "properties": {
                    "bytes": {
                      "type": "integer"
                    },
                    "height": {
                      "type": "integer"
                    },
                    "image_base64": {
                      "description": "Base64-encoded image",
                      "type": "string"
                    },
                    "mimeType": {
                      "type": "string"
                    },
                    "model": {
                      "type": "string"
                    },
                    "prompt": {
                      "type": "string"
                    },
                    "steps": {
                      "type": "integer"
                    },
                    "width": {
                      "type": "integer"
                    }
                  },
                  "type": "object"
                },
                "type": {
                  "type": "string"
                }
              },
              "required": [
                "type"
              ],
              "type": "object"
            }
          },
          "required": [
            "input"
          ],
          "type": "object"
        }
      }
    },
    "lastUpdated": "2026-10-30T08:47:48.955Z",
    "quality": {
      "l30DaysTotalCalls": 1,
      "l30DaysUniquePayers": 1,
      "lastCalledAt": "2026-10-30T08:47:48.445Z"
    },
    "resource": "https://quickbuild.quynguyenbac.workers.dev/api/image",
    "serviceName": "QuickBuild",
    "tags": [
      "ai",
      "image",
      "image-generation",
      "text-to-image",
      "flux"
    ],
    "type": "http",
    "x402Version": 2
  },
  "source": "x402_bazaar",
  "summary": "Generate an original 1024x1024 image from a text prompt with FLUX.1 [schnell] on Workers AI (about 2-5 s). Returns JSON with image_base64 + mimeType, or the raw image bytes with format=jpeg. Content policy: no sexual/nude, gore, hate, real or famous people, or ID documents/currency; such prompts get HTTP 400 and are not charged. All params optional: with no prompt a sample watercolor lighthouse is drawn."
}

What the leaf hashes

{"body":"34436bfb7dfaa9074c69d4ed0a48ff95843784b55f6d88574d4ce843754677db","id":1261915,"kind":"listing","method":"sync.x402_bazaar/1","observed_us":1793385518236693,"prev":null,"subject":"x402_bazaar:https://quickbuild.quynguyenbac.workers.dev/api/image","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. 0x75d11c4aaa1c3e29e36f2160f33791911ca686572aadd00a570509c7204a7412
2. 0xb67af885205eaffe99c4e57091a46edf0b00df02cad43971e0609443c8a62a95
3. 0x5ff41ab4d3cc61f08b9dd9205215f58b064b5694b25c2900694aabfd96a8810a
4. 0xa3c5255dd3aa62e98a0658f851c036e080518bffa9538c2f91b8806c33e23c4f
5. 0x83f8cacea7526bd5f542a250e9761943170fd7c55f9f1241788465c0d17fcebb
6. 0x3e3e99186ea8a395f8df64c28b500196aaaa0fa72cb9e3d60309fc3572cbb153
7. 0xd61516b92112c39e3a1ea66640e5fe66c427de856fa95cfb56113c597cb7c97f
8. 0x33d3988739c6386035409cf40a6fb0ad0f1bb0f367e2f40517983b51d0573822
9. 0xa4febbad8ab8569f91074658841346331432a6c33d9d45557650a465dc02be84
10. 0x78d4d5555bb636b7e44aa1077988f374dddd47c4a57808fd1e5e65caf16c5461
11. 0x3f4d956b057679f524600de2c52bb33b0bf5f14b13a98d860e4ca57c0d10b5a4
12. 0xb86c24d74d1a4ff68babf4c944c4765412f2d0380de9972349d411f2e65ef5cf
13. 0x630c92ab7a09a852e8f8d699227d5d4a4acf303f63bea031f0057a3a36087420
14. 0x75bcbdd2a0d7acdea21f6011126339c8e33a476ec0a76842480cf5bf70db6a72
15. 0xdf25f5d38e3fb54d3e66e3bf876db529f619041e0d21f0bc35b80003418e3d9c
16. 0xdbaaffa44665d1fa60d33d2c4075bd87629b76d01a6ee63e621e78590303b56d
17. 0xffe660edb9e5c6e3449a49454634c3e7b2f9fe703e5697f723b021735647ab7e
18. 0x30a81d8fcef4e8f9e2877c62796cfc5612fc1b251127d531dee28f8dbd5c5147

Day root

0x0826c7ad6039e06a2360ca0a4a3a4fe7f2626c6dc19f71a37599386f78b39875

Chained

0x36b4c8a1063758f0b8765fa1bdf75fa92fb543cc183add3e261880ee2bd1f822

Published

On Arc Testnet, block 69923247: 0x8704744146c6967c8abc9e9a99de4db7283b29e840922ea83a69b6fe776e6861