Evidence row 126990

What was observed

{
  "endpoints": [
    [
      "x402",
      "https://x402engine.app/api/image/text"
    ]
  ],
  "name": "x402engine.app/api/image/text",
  "owner_address": "0x7dd5be069f2d2ead75ec7c3423b116ff043c2629",
  "raw": {
    "accepts": [
      {
        "amount": "120000",
        "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
        "extra": {
          "name": "USD Coin",
          "version": "2"
        },
        "maxTimeoutSeconds": 300,
        "network": "eip155:8453",
        "payTo": "0x7dd5Be069f2d2eAd75eC7C3423B116fF043c2629",
        "scheme": "exact"
      },
      {
        "amount": "120000000000000000",
        "asset": "0xFAfDdbb3FC7688494971a79cc65DCa3EF82079E7",
        "extra": {
          "name": "USDm",
          "version": "2"
        },
        "maxTimeoutSeconds": 300,
        "network": "eip155:4326",
        "payTo": "0x7dd5Be069f2d2eAd75eC7C3423B116fF043c2629",
        "scheme": "exact"
      },
      {
        "amount": "120000",
        "asset": "EPjFWdd5AufqSSqeM2qN1xzybapC8G4wEGGkZwyTDt1v",
        "extra": {
          "feePayer": "BENrLoUbndxoNMUS5JXApGMtNykLjFXXixMtpDwDR9SP"
        },
        "maxTimeoutSeconds": 300,
        "network": "solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp",
        "payTo": "Gzehfseq1k9AcHFSoV7qHmDGQx92nLMw78XXdqVWQQWa",
        "scheme": "exact"
      }
    ],
    "description": "Image generation with accurate text rendering using Ideogram v3 (best for logos, signage)",
    "extensions": {
      "bazaar": {
        "info": {
          "input": {
            "body": {
              "image_size": "square",
              "prompt": "a logo with the text \"ACME\""
            },
            "bodyType": "json",
            "method": "POST",
            "type": "http"
          }
        },
        "schema": {
          "$schema": "https://json-schema.org/draft/2020-12/schema",
          "properties": {
            "input": {
              "additionalProperties": false,
              "properties": {
                "body": {
                  "additionalProperties": false,
                  "properties": {
                    "image_size": {
                      "default": "square",
                      "description": "Output size",
                      "example": "square",
                      "type": "string"
                    },
                    "prompt": {
                      "description": "Text description including text to render",
                      "example": "a logo with the text \"ACME\"",
                      "type": "string"
                    }
                  },
                  "required": [
                    "prompt"
                  ],
                  "type": "object"
                },
                "bodyType": {
                  "enum": [
                    "json",
                    "form-data",
                    "text"
                  ],
                  "type": "string"
                },
                "method": {
                  "enum": [
                    "POST"
                  ],
                  "type": "string"
                },
                "type": {
                  "const": "http",
                  "type": "string"
                }
              },
              "required": [
                "type",
                "bodyType",
                "body",
                "method"
              ],
              "type": "object"
            }
          },
          "required": [
            "input"
          ],
          "type": "object"
        }
      }
    },
    "lastUpdated": "2026-10-08T14:15:44.663Z",
    "quality": {
      "l30DaysTotalCalls": 1,
      "l30DaysUniquePayers": 1,
      "lastCalledAt": "2026-10-08T14:15:44.321Z"
    },
    "resource": "https://x402engine.app/api/image/text",
    "type": "http",
    "x402Version": 2
  },
  "source": "x402_bazaar",
  "summary": "Image generation with accurate text rendering using Ideogram v3 (best for logos, signage)"
}

What the leaf hashes

{"body":"3dfff68a15ba0b8ee7546a7ca2c7ebbf8f76201611a69f2579b36dd3b308ea70","id":126990,"kind":"listing","method":"baseline/1","observed_us":1793025637328558,"prev":null,"subject":"x402_bazaar:https://x402engine.app/api/image/text","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. 0x514da08ec79c15a1776d1bb31396586927bd87ebc18473bc0c7757999090f90d
2. 0x3f4f58d9ce8f96a7dba73877d0a0d22f50b95bf7c545720745bd6774d0ebf6dc
3. 0xc782ea346bf325e0736c498002ffb06b9e14d2ff5c042f8b5e96533a9e526165
4. 0x7ffba5320f6df3eaa315b590da9e690e03583edb59fae6f760e019a39d1922a4
5. 0x4f274879da005745069ab9189b5d65c11943c4407b4a86d66dafdea1907435a8
6. 0xe5a839cfe51a1f20ec90e505d1045e91f7bfaa3f21c706427572a1c7a0ff0d62
7. 0x532dfd74de2b1d1f8a652e13e52e2d3aa8ff18fda61e04a6f90bd6c4bdd97fc9
8. 0xa633125f2c229e0244fd5725f703550ecec40216f4be7493148cfeaa047cee1c
9. 0x1219ece7149e94c27319a4926c9146cd0e1ddc72b40654dfa47e0b42d5fbb1ef
10. 0x645ef58b69b469e4c309b22dfe9ca3f972fe60aa617a1dcb95a02418c0d9270c
11. 0xfa039eb62e5d0ae9f7aaaafb0fcbceacfa661b07228233046b9a9af94e547a55
12. 0xecaf47ba75097c34f2d3c4d62539dace0db8b484bf08941a9259e2d1e8ccea77
13. 0xf7d2cf278e5d2768b8bdb70730c378877cf7165d8efcbec8bcd3282fdc50d177
14. 0x0733993143f0230e79482cef2c38e95d98f9eafbe64a43cdc74a4545938a4167
15. 0x2be1e80e065dd6b2cc75a7142be22225acd144ac975d70bf24b4f01fd76dc497
16. 0x2e6a32eb32761c210560e852405e2f865f958ddbe01027894f8b9c1b3433b9f0
17. 0x9a83be955a206deb65b995adfd92c58fa31c95fbbf926bd199d300e70b08b26d
18. 0x20704208aa6923d6b2450ef74ede87a6e0265d46447926038fe9506e9e154b2d
19. 0x9b9ce5b74b9bab5121612ef6b64920a8d453cbf311096a423eef9702747e868a

Day root

0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8

Chained

0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a

Published

On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae