Evidence row 118906

What was observed

{
  "endpoints": [
    [
      "x402",
      "https://pyfile-agent.taile3ff35.ts.net:10000/web/read"
    ]
  ],
  "name": "Pyfile x402 API",
  "owner_address": "0xa43774fd2e867fc45b782456d78f135a215d5561",
  "raw": {
    "accepts": [
      {
        "amount": "3000",
        "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
        "extra": {
          "name": "USD Coin",
          "version": "2"
        },
        "maxTimeoutSeconds": 900,
        "network": "eip155:8453",
        "payTo": "0xA43774fD2e867FC45b782456d78F135a215D5561",
        "scheme": "exact"
      },
      {
        "amount": "3000",
        "asset": "0x3c499c542cEF5E3811e1192ce70d8cC03d5c3359",
        "extra": {
          "name": "USD Coin",
          "version": "2"
        },
        "maxTimeoutSeconds": 900,
        "network": "eip155:137",
        "payTo": "0xA43774fD2e867FC45b782456d78F135a215D5561",
        "scheme": "exact"
      },
      {
        "amount": "3000",
        "asset": "0xaf88d065e77c8cC2239327C5EDb3A432268e5831",
        "extra": {
          "name": "USD Coin",
          "version": "2"
        },
        "maxTimeoutSeconds": 900,
        "network": "eip155:42161",
        "payTo": "0xA43774fD2e867FC45b782456d78F135a215D5561",
        "scheme": "exact"
      },
      {
        "amount": "8628000000000000000000000000",
        "asset": "XNO",
        "extra": {
          "asset": "XNO",
          "work": "required",
          "workThreshold": "fffffff800000000"
        },
        "maxTimeoutSeconds": 3600,
        "network": "nano:mainnet",
        "payTo": "nano_3uojbn47b5xqcbs4yibbasamn8aeyqxgyi1z8peogwtdn6z3kagjanjpz4ss",
        "scheme": "exact"
      }
    ],
    "description": "Read any public web page as clean readable Markdown for RAG and LLM pipelines — main article text with nav/ads stripped, plus title. ?url=https://example.com&max_chars=20000",
    "extensions": {
      "bazaar": {
        "info": {
          "input": {
            "method": "GET",
            "type": "http"
          },
          "output": {
            "example": {
              "bytes": 4210,
              "fetched_at": "2026-09-22T15:00:00.000Z",
              "markdown": "# Example Article\n\nMain readable text with nav and ads stripped...",
              "source": "r.jina.ai",
              "title": "Example Article",
              "truncated": false,
              "url": "https://example.com/article"
            },
            "type": "json"
          }
        },
        "schema": {
          "$schema": "https://json-schema.org/draft/2020-12/schema",
          "properties": {
            "input": {
              "properties": {
                "method": {
                  "enum": [
                    "GET"
                  ],
                  "type": "string"
                },
                "queryParams": {
                  "properties": {},
                  "type": "object"
                },
                "type": {
                  "const": "http",
                  "type": "string"
                }
              },
              "required": [
                "type",
                "method"
              ],
              "type": "object"
            },
            "output": {
              "properties": {
                "example": {
                  "properties": {
                    "bytes": {
                      "description": "Size of the returned markdown in bytes.",
                      "type": "integer"
                    },
                    "fetched_at": {
                      "description": "ISO-8601 fetch timestamp.",
                      "type": "string"
                    },
                    "markdown": {
                      "description": "Main article text as clean Markdown.",
                      "type": "string"
                    },
                    "source": {
                      "description": "Extraction backend.",
                      "type": "string"
                    },
                    "title": {
                      "description": "Page title.",
                      "type": "string"
                    },
                    "truncated": {
                      "description": "True if markdown was cut at max_chars.",
                      "type": "boolean"
                    },
                    "url": {
                      "description": "The URL that was read.",
                      "type": "string"
                    }
                  },
                  "required": [
                    "url",
                    "markdown"
                  ],
                  "type": "object"
                },
                "type": {
                  "const": "json",
                  "description": "Output payload format.",
                  "type": "string"
                }
              },
              "required": [
                "type"
              ],
              "type": "object"
            }
          },
          "required": [
            "input"
          ],
          "type": "object"
        }
      },
      "rail-hint": {
        "info": {
          "bootstrap": "pip install feeless402 && nano-pay init && nano-pay claim https://feeless402.com",
          "cheapest": "nano:mainnet",
          "docs": "https://railhint.com",
          "why": "Zero network fees, no price floor, sub-second finality — Nano is the true metered price for a machine-to-machine call."
        },
        "schema": {
          "$schema": "https://json-schema.org/draft/2020-12/schema",
          "properties": {
            "info": {
              "type": "object"
            }
          },
          "required": [
            "info"
          ],
          "type": "object"
        }
      }
    },
    "lastUpdated": "2026-10-17T20:07:09.648Z",
    "quality": {
      "l30DaysTotalCalls": 1,
      "l30DaysUniquePayers": 1,
      "lastCalledAt": "2026-10-17T20:07:09.253Z"
    },
    "resource": "https://pyfile-agent.taile3ff35.ts.net:10000/web/read",
    "serviceName": "Pyfile x402 API",
    "tags": [
      "web",
      "search",
      "reader",
      "scraping"
    ],
    "type": "http",
    "x402Version": 2
  },
  "source": "x402_bazaar",
  "summary": "Read any public web page as clean readable Markdown for RAG and LLM pipelines — main article text with nav/ads stripped, plus title. ?url=https://example.com&max_chars=20000"
}

What the leaf hashes

{"body":"54ee64607c6ed6cd029a3e37baa359eb3c4975e123fe87aa26f769c0af6976e9","id":118906,"kind":"listing","method":"baseline/1","observed_us":1793025613986091,"prev":null,"subject":"x402_bazaar:https://pyfile-agent.taile3ff35.ts.net:10000/web/read","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. 0x7266c54b55576725d2d5e664e67685e906e2ae4c3656eb29e974ad6eddee3c35
2. 0xa0ce246ed0dc9c55b472680de7f84892efe890ab114fabe655cad19796e01d56
3. 0x0f0787011eabc244ed0acce8d3ed4c01684d52eb0908f2def7ba070a2f96a398
4. 0x76a3cc24bd4e498fd2ddb3a72fc63d9e60cefc648805c512719960d557c10ec9
5. 0x9cba38769c29948b3817565504a0b3742c5fcccf12b2dd9a7330c44a3ccde896
6. 0x9aa7e6ad49fbc917991b969fc4bcba15352b3f28c067b6f7e95431a5187a0686
7. 0x6fd929e9987e484e1bd1390e02a447768471e5597a49035b289d507ab4de1e59
8. 0x02e8715cc3f51c78c5cc702d09944852186ee2651313bf99274f9c2826a2b498
9. 0x0f500fa87ff8c9bc8f678cfe5ffad8bd8bea41950dcca52229a2ecd81db5cae3
10. 0xceda4b7fb1fcf23d960e99e592c2a4cef2c80188bc093188c1cdd7bec2223bb2
11. 0x9763a000e2506d3e18d36911968fe32044769ec0822949b880df4736389d3536
12. 0xef1802ec08c5a2efaca6aadccc58edcebeb620a019383dc0785f198c677a9427
13. 0x06064dc1eb2363bec8c2a752e0a28aafc4bf0cb21d1b1b755821c1575bb77a96
14. 0xc4fe2177880ea1b0e82b6fe4c270090fd0fbe5af3a42a8cbf6a6ba2fa35625f6
15. 0x15039087bf60ae9b06b756ec3cbc299760e59923a438bbd91e34d105186db0ed
16. 0x2b6e23e3624a1b66e1d2298cfbce99a93ce6b13d24a58112a71802d79c5f7a76
17. 0xd21942ae3214eff88e08ab04884fd4b11958b51af9a0741b7668e2d07a2c56c9
18. 0x9a9024edb5069d88a324facb310a5ce8e495214bbaa968f077bede437390194f
19. 0x9b9ce5b74b9bab5121612ef6b64920a8d453cbf311096a423eef9702747e868a

Day root

0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8

Chained

0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a

Published

On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae