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Evidence row 64146

Observed , by baseline/1.

Kind
listing
About
source_record x402_bazaar:https://agentstoolshub.com/api/v1/live/wikipedia-summary
Recorded
Previous row
None: the first of its kind about this subject
Body SHA-256
47d70877ae909f0e068ff27f9957454b1cf7cb7cf4e4a70ae9b64fa2f8c6f58b
Leaf
0xfce759d4243069a97eaedb529c49174e0e1e92de66ea6cf67589d4c0cde22ca1

What was observed

{
  "endpoints": [
    [
      "x402",
      "https://agentstoolshub.com/api/v1/live/wikipedia-summary"
    ]
  ],
  "name": "AgentsToolsHub",
  "owner_address": "0x8a0f2b0a6c82d1c54b16e2e4decd18ff0802b0f6",
  "raw": {
    "accepts": [
      {
        "amount": "20000",
        "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
        "extra": {
          "name": "USD Coin",
          "version": "2"
        },
        "maxTimeoutSeconds": 300,
        "network": "eip155:8453",
        "payTo": "0x8a0F2b0a6C82D1c54B16E2e4DEcd18fF0802b0f6",
        "scheme": "exact"
      }
    ],
    "description": "Fetch the lead summary of any English Wikipedia article — the fast, grounded way to facts about companies, people, places and concepts. Fuzzy titles resolve via Wikipedia search, and the response includes the canonical page URL, short description and thumbnail. Use this when an agent needs to grounded facts for any notable entity.",
    "extensions": {
      "analytics": {},
      "bazaar": {
        "info": {
          "input": {
            "method": "GET",
            "queryParams": {
              "title": "Base (blockchain)"
            },
            "type": "http"
          },
          "output": {
            "example": {
              "result": {
                "answer": "live data — call the API",
                "value": null
              },
              "tool": "wikipedia-summary"
            },
            "type": "json"
          }
        },
        "schema": {
          "$schema": "https://json-schema.org/draft/2020-12/schema",
          "properties": {
            "input": {
              "additionalProperties": false,
              "properties": {
                "method": {
                  "enum": [
                    "GET"
                  ],
                  "type": "string"
                },
                "queryParams": {
                  "properties": {
                    "title": {
                      "description": "Article title or topic",
                      "type": "string"
                    }
                  },
                  "required": [
                    "title"
                  ],
                  "type": "object"
                },
                "type": {
                  "const": "http",
                  "type": "string"
                }
              },
              "required": [
                "type",
                "method"
              ],
              "type": "object"
            },
            "output": {
              "properties": {
                "example": {
                  "type": "object"
                },
                "type": {
                  "type": "string"
                }
              },
              "required": [
                "type"
              ],
              "type": "object"
            }
          },
          "required": [
            "input"
          ],
          "type": "object"
        }
      }
    },
    "lastUpdated": "2026-10-19T20:36:37.641Z",
    "quality": {
      "l30DaysTotalCalls": 4,
      "l30DaysUniquePayers": 2,
      "lastCalledAt": "2026-10-19T20:36:37.508Z"
    },
    "resource": "https://agentstoolshub.com/api/v1/live/wikipedia-summary",
    "serviceName": "AgentsToolsHub",
    "tags": [
      "live",
      "general"
    ],
    "type": "http",
    "x402Version": 2
  },
  "source": "x402_bazaar",
  "summary": "Fetch the lead summary of any English Wikipedia article — the fast, grounded way to facts about companies, people, places and concepts. Fuzzy titles resolve via Wikipedia search, and the response includes the canonical page URL, short description and thumbnail. Use this when an agent needs to grounded facts for any notable entity."
}

What the leaf hashes

{"body":"47d70877ae909f0e068ff27f9957454b1cf7cb7cf4e4a70ae9b64fa2f8c6f58b","id":64146,"kind":"listing","method":"baseline/1","observed_us":1793025456094039,"prev":null,"subject":"x402_bazaar:https://agentstoolshub.com/api/v1/live/wikipedia-summary","subject_kind":"source_record"}

Proof

Fold these into the leaf in order, hashing each sorted pair with keccak256, to reach the root of (296695 rows).

  1. 0xfce74ba512fba2ae27b82bd2835fcb0d49437d9d8da96bd0da1a3a5226bd5e86
  2. 0xd3100e57d98bc35248a0d2dec8554c94aeb3395efad0fde103dadfdea84b8901
  3. 0x4c6931051005f42fe70b8bb59525c0a9049d8c23edc19a5e55be72575364a1ed
  4. 0x6e16a4a41cbbc584421e2a1ee7950fb20bf1fc81ffdccc57b035fc014a6f80d0
  5. 0xdd4e306548588a268e11929a90234183822ef90ac0180c31ad150d542123fa51
  6. 0xd56d12ab6724a13906e0871a659a7064d1f0fe87e3475317cf3c3cde75130523
  7. 0xbc52f9b09aac09183319a154b33ddd29aa0693a0df82db6448e236b032bb9e65
  8. 0x2c5ffa023301bce1e7f4c4c45235144f696894c697ad9a6e09e18ec85b8e809c
  9. 0x166e1fc806f28d2cfb90b5e917853fbf01cf0f341d4c8822b0f786e4cbcf1d74
  10. 0xf060241fb56836c62d3feefbc60d9401bb5e9f24893c10a5f67e7eab0a959c8a
  11. 0x2e09594bba0b7c90654eee0c9a8e6b9ed83ead47a7e7c90e73414beaf0ad4088
  12. 0xa1d268c111b09550fdb70b6d9d0b58c94dc828b083baa8f1360300aab6230a9c
  13. 0xbee644d57738676bfb20eb90d6021f364bf883a8d54f8d17e9dc4749b4074c3d
  14. 0x44945ea9ad8b24e723ad5a8fd6d014024a49531783f74ff9229c2ab6930e84c8
  15. 0x68d296b1e00b4899fb83c3fba36fffaefa311eac2903067dbebfe776a12b4a9a
  16. 0x5fb5dda563336cd1bc1b9f44c52b76237ae72ed2145cb9290f39f304ca7dd678
  17. 0x74a0a08e4e7ab9aa5bfbead33dec7e1c7e8e364cff69a63720d764bbe987aadc
Day root
0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8
Chained
0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a
Published
On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae

How to check it · This row as JSON