addrbookFor publishers
← The evidence ledger

Evidence row 64203

Observed , by baseline/1.

Kind
listing
About
source_record x402_bazaar:https://agentwholesale.vercel.app/api/v1/trends
Recorded
Previous row
None: the first of its kind about this subject
Body SHA-256
d94ac3edb612108fd373ddacdaf3b785e24c60c58dbad98cd7c5472b30d14025
Leaf
0xe19b1a975cb1960d35c4cfd1221ca3a3c48f2bac81b21a13e62c381117b62847

What was observed

{
  "endpoints": [
    [
      "x402",
      "https://agentwholesale.vercel.app/api/v1/trends"
    ]
  ],
  "name": "agentwholesale.vercel.app/api/v1/trends",
  "owner_address": "0x07851f02f4b0e85f18f5ef06a4545b713eaa39fe",
  "raw": {
    "accepts": [
      {
        "amount": "10000",
        "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
        "extra": {
          "name": "USD Coin",
          "version": "2"
        },
        "maxTimeoutSeconds": 300,
        "network": "eip155:8453",
        "payTo": "0x07851F02F4b0e85f18f5EF06a4545B713eAA39Fe",
        "scheme": "exact"
      }
    ],
    "description": "Agent-ready keyword trend intelligence for 1-5 keywords in a country. Returns normalized relative-interest data. Not Google Trends.",
    "extensions": {
      "bazaar": {
        "info": {
          "input": {
            "body": {
              "country": "US",
              "keywords": [
                "AI agents",
                "x402"
              ]
            },
            "bodyType": "json",
            "method": "POST",
            "type": "http"
          },
          "output": {
            "example": {
              "data": [
                {
                  "changePct": 20,
                  "direction": "rising",
                  "hasMeaningfulData": true,
                  "interestScore": 66,
                  "keyword": "AI agents",
                  "relatedQueries": [],
                  "timeline": [
                    {
                      "date": "2026-09-05",
                      "value": 84
                    }
                  ]
                }
              ],
              "meta": {
                "economics": {
                  "retailPriceUsd": 0.01
                },
                "product": "keyword-trends",
                "success": true,
                "supplier": "dataforseo-trends"
              }
            },
            "type": "json"
          }
        },
        "schema": {
          "$schema": "https://json-schema.org/draft/2020-12/schema",
          "properties": {
            "input": {
              "additionalProperties": false,
              "properties": {
                "body": {
                  "properties": {
                    "country": {
                      "pattern": "^[A-Za-z]{2}$",
                      "type": "string"
                    },
                    "keywords": {
                      "items": {
                        "type": "string"
                      },
                      "maxItems": 5,
                      "minItems": 1,
                      "type": "array"
                    }
                  },
                  "required": [
                    "keywords",
                    "country"
                  ]
                },
                "bodyType": {
                  "enum": [
                    "json",
                    "form-data",
                    "text"
                  ],
                  "type": "string"
                },
                "method": {
                  "enum": [
                    "POST"
                  ],
                  "type": "string"
                },
                "type": {
                  "const": "http",
                  "type": "string"
                }
              },
              "required": [
                "type",
                "method",
                "bodyType",
                "body"
              ],
              "type": "object"
            },
            "output": {
              "properties": {
                "example": {
                  "type": "object"
                },
                "type": {
                  "type": "string"
                }
              },
              "required": [
                "type"
              ],
              "type": "object"
            }
          },
          "required": [
            "input"
          ],
          "type": "object"
        }
      }
    },
    "lastUpdated": "2026-10-24T00:34:22.823Z",
    "quality": {
      "l30DaysTotalCalls": 5,
      "l30DaysUniquePayers": 5,
      "lastCalledAt": "2026-10-24T00:34:22.642Z"
    },
    "resource": "https://agentwholesale.vercel.app/api/v1/trends",
    "type": "http",
    "x402Version": 2
  },
  "source": "x402_bazaar",
  "summary": "Agent-ready keyword trend intelligence for 1-5 keywords in a country. Returns normalized relative-interest data. Not Google Trends."
}

What the leaf hashes

{"body":"d94ac3edb612108fd373ddacdaf3b785e24c60c58dbad98cd7c5472b30d14025","id":64203,"kind":"listing","method":"baseline/1","observed_us":1793025456312298,"prev":null,"subject":"x402_bazaar:https://agentwholesale.vercel.app/api/v1/trends","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. 0xe19b3638f46403d740bf418719e28447f5894e8a44e4bd71dcbaac29cd52779f
  2. 0x343840f60fb7ec23bcc18dd4b37791e6ff0834ba3fdd4f6399878b1f83aee383
  3. 0x0be84641d025df9b38051e121118ffaef44d30930307365cc8069042ab5fded1
  4. 0xa9148c0d1b4a2f07b0aa76f296538936f0b06a747d36a0033ef79ef600923687
  5. 0x22f727075e9f1d8d4bbb3334412a87c87fa25f522d6d2a2d21b3f3dff5af6493
  6. 0x1dc057371e909dbb8bf9a66b116fae55b52c0a9404be846f4a020e155298f8fb
  7. 0x4126c93ce4fc0351bc3cdb49969fb88b729966656ffce385107d7e649a3a5f65
  8. 0x43acf4759531725b59aaf64f16eae5155bdfec3f9b359fd1234761940576e50e
  9. 0x6a6af4a19fe5ffeeca843a53e49f8f19b2c70e2abba0a2b716f5a0dd3719425c
  10. 0x2cbff68076c452d653c930667b60ac0d1dd957bf168bc813dea281be86c2e39f
  11. 0xce35ce45ef8f8ea3dfabeeed3d2069f34fb82c77d0d8f31e3429b7d6deb0a351
  12. 0x714c96bd488ccf4af927c8bc83397404f7f6f1b165b622d0e8216290209825e4
  13. 0x3fcdf7fa32ccefe771eb57ae3015142065d64e3ce732fea7d11b9a3c99dde44f
  14. 0x0b7541c75cc482a7134110311d7dbd02095d969ba21177de9b21a52a55981718
  15. 0x6dc40f983a3840a0ad927a9ca17f4ff1e3b649a6c735e2a09b140db7c2caf13b
  16. 0x703f95866af09c5e5d6ead7411e9a10f964a41a2aff64d4a55ff0053c023a023
  17. 0xd0651cb9bc8155eb52b5247d506e74b8a935057dc190ba52091702ac25ed3a40
  18. 0x9a9024edb5069d88a324facb310a5ce8e495214bbaa968f077bede437390194f
  19. 0x9b9ce5b74b9bab5121612ef6b64920a8d453cbf311096a423eef9702747e868a
Day root
0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8
Chained
0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a
Published
On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae

How to check it · This row as JSON