addrbookFor publishers
← The evidence ledger

Evidence row 3120723

Observed , by sync.x402_bazaar/1.

Kind
listing
About
source_record x402_bazaar:https://api.x402node.dev/knowledge/wikipedia-page
Recorded
Previous row
#2695730
Body SHA-256
d6d7f2a098aea1815965eceb0a9cb249f29954316bdbe1fbdef274ad0ca86a9d
Leaf
0x2d053efac6f5ec75a1b49ed17077e6e106c12549f9e876a8498563df964e9718

What was observed

{
  "endpoints": [
    [
      "x402",
      "https://api.x402node.dev/knowledge/wikipedia-page"
    ]
  ],
  "name": "api.x402node.dev/knowledge/wikipedia-page",
  "owner_address": "0x4466d4a84b7c49a6a094ec6eef4a0712d6dd125e",
  "raw": {
    "accepts": [
      {
        "amount": "8000",
        "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
        "extra": {
          "name": "USD Coin",
          "version": "2"
        },
        "maxTimeoutSeconds": 300,
        "network": "eip155:8453",
        "payTo": "0x4466d4A84b7c49a6A094ec6eef4a0712D6dd125e",
        "scheme": "exact"
      },
      {
        "amount": "8000",
        "asset": "EPjFWdd5AufqSSqeM2qN1xzybapC8G4wEGGkZwyTDt1v",
        "extra": {
          "feePayer": "CjNFTjvBhbJJd2B5ePPMHRLx1ELZpa8dwQgGL727eKww"
        },
        "maxTimeoutSeconds": 300,
        "network": "solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp",
        "payTo": "9urRvUx69HqAopg1JGV9P9wR7JdKoztzdkuNyJ8Eo1up",
        "scheme": "exact"
      }
    ],
    "description": "Get a Wikipedia article summary by exact title. Returns extract (lead paragraph), description, thumbnail, originalimage, content URLs (desktop/mobile/edit), and wikibase_item. Use ?title=Albert_Einstein plus optional and lang=en. Built for AI agents doing literature review, biography lookup, and grounded RAG. Accepts payment on Base or Solana — either network works.",
    "extensions": {
      "bazaar": {
        "info": {
          "input": {
            "method": "GET",
            "queryParams": {
              "lang": "string",
              "title": "string"
            },
            "type": "http"
          }
        },
        "schema": {
          "$schema": "https://json-schema.org/draft/2020-12/schema",
          "properties": {
            "input": {
              "additionalProperties": false,
              "properties": {
                "method": {
                  "enum": [
                    "GET"
                  ],
                  "type": "string"
                },
                "queryParams": {
                  "properties": {
                    "lang": {
                      "description": "Lang (optional)",
                      "type": "string"
                    },
                    "title": {
                      "description": "Title (required)",
                      "type": "string"
                    }
                  },
                  "required": [
                    "title"
                  ],
                  "type": "object"
                },
                "type": {
                  "const": "http",
                  "type": "string"
                }
              },
              "required": [
                "type",
                "method"
              ],
              "type": "object"
            }
          },
          "required": [
            "input"
          ],
          "type": "object"
        }
      }
    },
    "lastUpdated": "2026-10-25T18:39:42.684Z",
    "quality": {
      "l30DaysTotalCalls": 24,
      "l30DaysUniquePayers": 2,
      "lastCalledAt": "2026-10-25T18:39:42.495Z"
    },
    "resource": "https://api.x402node.dev/knowledge/wikipedia-page",
    "type": "http",
    "x402Version": 2
  },
  "source": "x402_bazaar",
  "summary": "Get a Wikipedia article summary by exact title. Returns extract (lead paragraph), description, thumbnail, originalimage, content URLs (desktop/mobile/edit), and wikibase_item. Use ?title=Albert_Einstein plus optional and lang=en. Built for AI agents doing literature review, biography lookup, and grounded RAG. Accepts payment on Base or Solana — either network works."
}

What the leaf hashes

{"body":"d6d7f2a098aea1815965eceb0a9cb249f29954316bdbe1fbdef274ad0ca86a9d","id":3120723,"kind":"listing","method":"sync.x402_bazaar/1","observed_us":1793823605039227,"prev":2695730,"subject":"x402_bazaar:https://api.x402node.dev/knowledge/wikipedia-page","subject_kind":"source_record"}

Proof

Fold these into the leaf in order, hashing each sorted pair with keccak256, to reach the root of (424109 rows).

  1. 0x2d04f3443d4ab2890d1139417e3d750b615ed3c672f9ee1b5182f0a31c716425
  2. 0x8d675dd46e28375947bec7295648eba68b86e3f43a3a6e26eb5a54ff7e0ec4be
  3. 0x23eabd23657cc8d4dae0e1d6460cecd9cbb435e80fbefd6396091e06157a0128
  4. 0xfe1e7a08a8f51108ee89a8f5d4b9d1b800232f692750fed856e0d030ae4d5dd0
  5. 0x25b304ee68bb1bb926c2b40d3be5aff815a8c66ed6e54f170a09e02f6cd479da
  6. 0x003db5c96377fa062030e02ee7a25f90ca0c4dfe3ac9a784001c6aab0a78b993
  7. 0xb5d506cf3a2dbd15654a2ca9dd30246d78013277933aa6f7eeb8b9023245ee85
  8. 0xcb69582cf9419df4c322e49a1c54b11b3619e0c9caa6a2a4ee417ab271f0c3b0
  9. 0x6aeb5100c046308fa316840abf0865a3e3d7eb4c962f90189e0776bf63b1c32b
  10. 0x8a3b93e4e9b6935ede510bb7a9970db495f2272f6ce992350b7ed8020d8aa051
  11. 0x452bc5f087be79851e34aa78a23acbd26cc56bf00295c0b6495fbf138684d41d
  12. 0x4575ce7dfdd34997eaf926c49cb611f91f3db53781cb58f754a46009d3b38e75
  13. 0x4e57554fac7ef0d43ef340faa967ab9c7606c4a16a9753e9d34e5c43785b12d8
  14. 0x9d907331506c7b04c540d946932cd0d003e3b8bed785427b82286d101a946ed7
  15. 0x80d767e810dea8f03e47cc3217bd2604062057071b87fb3908bc918d21222df3
  16. 0x8632761f28bd1d3a8f35afb1fa5e24cfd1b78978317cf7ac09f0fd65df795c1c
  17. 0x84ade16fc3dc3a4a6aa46b581fe43195d593a51802c7d0a75e650bfd9c3ea4df
  18. 0x02f64ca19e7d9b09718851d2ce3abf641982580de99411626d894607cf386cd5
  19. 0x10067354f57fa0cd86b7423e67cc1c7d107d7c9c6823df5246c4fb63b60575e5
Day root
0xd4eed8c0ea3c90ec6f262b19fcc3b849f30cb82a0f84b8b89569e48af7d0c1ee
Chained
0x59305749c32724a02a23c368834d8a36ae9908da93a915e2962fffe01b4e591b
Published
On Arc Testnet, block 70772483: 0x813d56041c1efd407e56047129b597b154a1cb26458bb2768fd0a4630ac97345

How to check it · This row as JSON