Evidence row 123891

What was observed

{
  "endpoints": [
    [
      "x402",
      "https://visual.hugen.tokyo/visual/ocr"
    ]
  ],
  "name": "visual.hugen.tokyo/visual/ocr",
  "owner_address": "0x29322ea7ecb34aa6164cb2ddeb9ce650902e4f60",
  "raw": {
    "accepts": [
      {
        "amount": "50000",
        "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
        "extra": {
          "name": "USD Coin",
          "version": "2"
        },
        "maxTimeoutSeconds": 300,
        "network": "eip155:8453",
        "payTo": "0x29322Ea7EcB34aA6164cb2ddeB9CE650902E4f60",
        "scheme": "exact"
      },
      {
        "amount": "50000",
        "asset": "EPjFWdd5AufqSSqeM2qN1xzybapC8G4wEGGkZwyTDt1v",
        "extra": {
          "feePayer": "Hc3sdEAsCGQcpgfivywog9uwtk8gUBUZgsxdME1EJy88"
        },
        "maxTimeoutSeconds": 300,
        "network": "solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp",
        "payTo": "4du4AfkjJEwch2zk3shkPJVZfyJHNDnNjEWC6AboaS5Z",
        "scheme": "exact"
      }
    ],
    "description": "OCR extraction from scanned PDF documents (English). Uses Tesseract to read text from image-based pages that have no embedded text layer. Returns structured text and metadata. Ideal for invoices, receipts, contracts, and legacy documents. $0.05 per extraction.",
    "extensions": {
      "bazaar": {
        "category": "visual-capture",
        "discoverable": true,
        "info": {
          "input": {
            "method": "GET",
            "queryParams": {
              "max_pages": "50",
              "url": "https://example.com/scanned-invoice.pdf"
            },
            "type": "http"
          },
          "output": {
            "example": {
              "metadata": {
                "file_size_bytes": 1548290,
                "page_count": 3
              },
              "summary_stats": {
                "has_text": true,
                "ocr_pages": 3,
                "total_characters": 2840
              }
            },
            "type": "json"
          }
        },
        "schema": {
          "properties": {
            "input": {
              "required": [
                "method"
              ]
            }
          }
        },
        "tags": [
          "screenshot",
          "pdf",
          "rendering"
        ]
      }
    },
    "lastUpdated": "2026-10-13T08:17:52.25Z",
    "quality": {
      "l30DaysTotalCalls": 3,
      "l30DaysUniquePayers": 2,
      "lastCalledAt": "2026-10-13T08:17:51.564Z"
    },
    "resource": "https://visual.hugen.tokyo/visual/ocr",
    "type": "http",
    "x402Version": 2
  },
  "source": "x402_bazaar",
  "summary": "OCR extraction from scanned PDF documents (English). Uses Tesseract to read text from image-based pages that have no embedded text layer. Returns structured text and metadata. Ideal for invoices, receipts, contracts, and legacy documents. $0.05 per extraction."
}

What the leaf hashes

{"body":"d9a181e419d7b4212f2a29b24f81f93e04be8f460e9c769f57fb7ea3931aaadd","id":123891,"kind":"listing","method":"baseline/1","observed_us":1793025623832448,"prev":null,"subject":"x402_bazaar:https://visual.hugen.tokyo/visual/ocr","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. 0x3e11e474fb32954d53590d0c676bb410812051e4e3f39d6548bea3d5296e1f0c
2. 0x738f1e780f903897dc6aa9a222494d630a64304fcdd4ccef7d10ce58c7c90a90
3. 0xa72ffefffd998815f47f53499092d1e83bcde33f3c32dcf13a5270d8e19982bf
4. 0x766b17a903f3659cce5f79b7b467a59eba7a6aa82755ce075a17e3f4aa1d2902
5. 0x2ccb301d83c3af0adc6a3bfb2d39e0030b0ea0be1fe190d523dd45933ae4d0ac
6. 0xe9498dcec250be2afea9bfde92e7f1a3f92cdd55526e3b8897b6fb1528119adc
7. 0x2281f181d259803d75a3b971284ddf808dfca1a9cf5c933abe8d4c584ec592f2
8. 0xec67cf26667d74b64178007209112e61c88f6197a3034a10c9d767847f86ff34
9. 0x6ee75bec467137d3dd8fbeb6a0a73db534b8fad2ed1c71dda0cb5e575c756de2
10. 0x45253cd85fd280590cc755c7157b670bb65655451b61e792fbe381fa2fd7507d
11. 0xc900cc76dc3702a3e60eaef3577f119464a6a90c3e2b646253f2ba09c089de97
12. 0xd04df0f7f3be4d014b4cea8172ada286fbcf5bcb32ae1b281704fd75627b661b
13. 0x215f432600b78f2e7c9629cd10ce6ce4b7f3351b0b71f3f2c7dcb8e650f6cd63
14. 0x7f594f5609f388d64d3cda87b5631d393ee8300bb09bad71f150113a5886ee33
15. 0x4b52a97f7a80ff7778a702b85267b8d2e5c93ce160942656435c29ae7be68bf4
16. 0x2e6a32eb32761c210560e852405e2f865f958ddbe01027894f8b9c1b3433b9f0
17. 0x9a83be955a206deb65b995adfd92c58fa31c95fbbf926bd199d300e70b08b26d
18. 0x20704208aa6923d6b2450ef74ede87a6e0265d46447926038fe9506e9e154b2d
19. 0x9b9ce5b74b9bab5121612ef6b64920a8d453cbf311096a423eef9702747e868a

Day root

0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8

Chained

0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a

Published

On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae