Evidence row 116811

What was observed

{
  "endpoints": [
    [
      "x402",
      "https://mcp.gapup.io/api/v1/call/ftg_market_gap"
    ]
  ],
  "name": "mcp.gapup.io/api/v1/call/ftg_market_gap",
  "owner_address": "0xba1e0a29b7c3ca3bca23ffd6922c6c37fbcc730c",
  "raw": {
    "accepts": [
      {
        "amount": "50000",
        "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
        "description": "Trade market-gap analysis by product and country, returns underserved demand, supply gaps and entry opportunities",
        "extra": {
          "assetTransferMethod": "eip3009",
          "name": "USD Coin",
          "version": "2"
        },
        "maxAmountRequired": "50000",
        "maxTimeoutSeconds": 60,
        "mimeType": "application/json",
        "network": "eip155:8453",
        "payTo": "0xbA1E0A29B7C3CA3BCa23FfD6922c6c37fBcc730c",
        "resource": "https://mcp.gapup.io/api/v1/call/ftg_market_gap",
        "scheme": "exact"
      }
    ],
    "description": "Trade market-gap analysis by product and country, returns underserved demand, supply gaps and entry opportunities",
    "extensions": {
      "bazaar": {
        "info": {
          "input": {
            "body": {
              "country": "example"
            },
            "bodyType": "json",
            "method": "POST",
            "type": "http"
          },
          "output": {
            "example": {
              "result": {},
              "source": "rest-api",
              "tool": "ftg_market_gap"
            },
            "type": "json"
          }
        },
        "schema": {
          "$schema": "https://json-schema.org/draft/2020-12/schema",
          "description": "Trade market-gap analysis by product and country, returns underserved demand, supply gaps and entry opportunities",
          "properties": {
            "input": {
              "properties": {
                "body": {
                  "properties": {
                    "async": {
                      "description": "If true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client timeouts.",
                      "type": "boolean"
                    },
                    "country": {
                      "description": "Country ISO-2 code (e.g. 'SN', 'KE') or name (e.g. 'Senegal')",
                      "type": "string"
                    },
                    "limit": {
                      "description": "Maximum opportunities to return (default 20)",
                      "maximum": 50,
                      "minimum": 1,
                      "type": "integer"
                    }
                  },
                  "required": [
                    "country"
                  ],
                  "type": "object"
                },
                "bodyType": {
                  "enum": [
                    "json",
                    "form-data",
                    "text"
                  ],
                  "type": "string"
                },
                "method": {
                  "enum": [
                    "POST"
                  ],
                  "type": "string"
                },
                "type": {
                  "const": "http",
                  "type": "string"
                }
              },
              "type": "object"
            },
            "output": {
              "properties": {
                "example": {
                  "type": "object"
                }
              },
              "type": "object"
            }
          },
          "type": "object"
        }
      }
    },
    "lastUpdated": "2026-10-18T01:20:41.983Z",
    "quality": {
      "l30DaysTotalCalls": 1,
      "l30DaysUniquePayers": 1,
      "lastCalledAt": "2026-10-18T01:20:41.753Z"
    },
    "resource": "https://mcp.gapup.io/api/v1/call/ftg_market_gap",
    "type": "http",
    "x402Version": 2
  },
  "source": "x402_bazaar",
  "summary": "Trade market-gap analysis by product and country, returns underserved demand, supply gaps and entry opportunities"
}

What the leaf hashes

{"body":"e87f9ae2c10bb5285d12432f4125fb2bfb3a9056baea24369e6d8b586169c1f4","id":116811,"kind":"listing","method":"baseline/1","observed_us":1793025610299969,"prev":null,"subject":"x402_bazaar:https://mcp.gapup.io/api/v1/call/ftg_market_gap","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. 0x9fdba294dc70283c277e98a1ea673287cf65c5714c643bee4666fa8b01deddbc
2. 0xd61073ee4878dcec50bd1bef60975fcd58c1dc274c774f6699c0e82715165978
3. 0xb527b124b762fd1c88af9c685cb6e26ff9e30b0484ba7d3dad22fc6a21a3bf45
4. 0xfb71252fb95895fd667c178f1f8fbbdce71b7e162c5851a4ba970001fb5d0a1b
5. 0xa3d376f398a6f0f489c03af6f4e57f0ecdb90df4de318eed09e8d973f8600959
6. 0x73eda69664789a64d2b09115f4372b7c70a2a203ad5213e01d873af24183ca28
7. 0x4b36657f6ce29ca482b372dec7b8bf746fecaf2793c890a47674413b12973ad2
8. 0x273d52f2099ac6230697b565060e0e6df028893e722e82b7b1735ecd36ca53e8
9. 0xd2216d5c3891dd76de789b60c3160329552cb0f87b63dfbc560d6e810bcee46d
10. 0xcf091ffdbe96bdd26d17022c3444ccf611753e061d394098c18b7fd07c41335b
11. 0x201e001c6e19ae71acc15269442af8d1874e41df9926feb22cbf8a2b7fd3180b
12. 0x6367dad81ab5c2e6f424ad3e06310c9b75079293d62a08dfbde98ef993c35229
13. 0xf8d3e004d9a208d2c5e82ab676956d80f8a3c78387c61dad15a3a8269efee0d8
14. 0x6713795704ddd9c528d421fadd9cc96b0200a4ddbba84f88e718d4968dde888b
15. 0x62a900133713919f4eed33d8336876b7a6d538233b8a4f3ed03b29aa44f5bad0
16. 0x1ac20d30773e1f4f2f811540e9a99b5cca9177c9e2e029acc0d80cf3f1d11f0f
17. 0xd21942ae3214eff88e08ab04884fd4b11958b51af9a0741b7668e2d07a2c56c9
18. 0x9a9024edb5069d88a324facb310a5ce8e495214bbaa968f077bede437390194f
19. 0x9b9ce5b74b9bab5121612ef6b64920a8d453cbf311096a423eef9702747e868a

Day root

0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8

Chained

0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a

Published

On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae