Evidence row 61449

What was observed

{
  "endpoints": [
    [
      "x402",
      "https://agent.chiemgaufilms.com/api/v1/ai-keyword-demand"
    ]
  ],
  "name": "AI Keyword Demand",
  "owner_address": "0x88c4de5f40c7b290d3d59a77718141082fe672d0",
  "raw": {
    "accepts": [
      {
        "amount": "40000",
        "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
        "extra": {
          "name": "USD Coin",
          "paymentFlow": "upfront",
          "version": "2"
        },
        "maxTimeoutSeconds": 120,
        "network": "eip155:8453",
        "payTo": "0x88c4de5f40C7B290D3D59a77718141082FE672d0",
        "scheme": "exact"
      }
    ],
    "description": "Modeled (estimated) AI-search demand for up to 10 keywords with 12-month history (DataForSEO AI Optimization Keyword Search Volume).",
    "extensions": {
      "bazaar": {
        "info": {
          "input": {
            "body": {
              "keywords": [
                "seo tools",
                "keyword research"
              ],
              "language_code": "en",
              "location_code": 2840
            },
            "bodyType": "json",
            "method": "POST",
            "type": "http"
          },
          "output": {
            "example": {
              "estimate": true,
              "keywords": [
                {
                  "ai_search_volume": 117209,
                  "keyword": "seo tools",
                  "monthly_estimates": [
                    {
                      "ai_search_volume": 117209,
                      "month": 9,
                      "year": 2026
                    }
                  ]
                }
              ],
              "language_code": "en",
              "location_code": 2840,
              "methodology": "Modeled estimate, not a measured count. DataForSEO calculates AI search volume from statistical data on questions in Google's 'People Also Ask' results; it does not report actual prompt counts from any AI platform (ChatGPT, Gemini, Perplexity, ...). Use it as a relative demand indicator.",
              "not_found": [],
              "source": "DataForSEO AI Optimization - AI Keyword Search Volume"
            },
            "type": "json"
          }
        },
        "schema": {
          "$schema": "https://json-schema.org/draft/2020-12/schema",
          "properties": {
            "input": {
              "additionalProperties": false,
              "properties": {
                "body": {
                  "additionalProperties": false,
                  "properties": {
                    "keywords": {
                      "description": "Keywords to look up: 1 to 10 entries, each up to 80 characters / 10 words. Lowercased, duplicates removed.",
                      "items": {
                        "maxLength": 80,
                        "minLength": 1,
                        "type": "string"
                      },
                      "maxItems": 10,
                      "minItems": 1,
                      "type": "array"
                    },
                    "language_code": {
                      "description": "Language code such as en or de. Default: English if available for the country, else its first language. Unsupported country/language pairs are refused before payment.",
                      "pattern": "^[a-z]{2,3}(-[A-Za-z]{2,4})?$",
                      "type": "string"
                    },
                    "location_code": {
                      "default": 2840,
                      "description": "DataForSEO country code. 2840 = United States (default), 2276 = Germany, 2826 = United Kingdom. Country-level codes only.",
                      "maximum": 99999999,
                      "minimum": 1000,
                      "type": "integer"
                    }
                  },
                  "required": [
                    "keywords"
                  ],
                  "type": "object"
                },
                "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": "2026-10-22T13:53:54.093Z",
    "quality": {
      "l30DaysTotalCalls": 2,
      "l30DaysUniquePayers": 1,
      "lastCalledAt": "2026-10-22T13:53:53.9Z"
    },
    "resource": "https://agent.chiemgaufilms.com/api/v1/ai-keyword-demand",
    "serviceName": "AI Keyword Demand",
    "type": "http",
    "x402Version": 2
  },
  "source": "x402_bazaar",
  "summary": "Modeled (estimated) AI-search demand for up to 10 keywords with 12-month history (DataForSEO AI Optimization Keyword Search Volume)."
}

What the leaf hashes

{"body":"678b1ad605d7b63f8dad9aacd879bea4b2cc31288b7f2595c5b2fe6febb6477a","id":61449,"kind":"listing","method":"baseline/1","observed_us":1793025450951217,"prev":null,"subject":"x402_bazaar:https://agent.chiemgaufilms.com/api/v1/ai-keyword-demand","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. 0x56207e9be4327ef7bdabbc09143649fdba192c16a6dccfa6bfd1f5eb58945705
2. 0xdc71b3e02c35252d95e577c43be400e577037fff708b6514d7e9772a518d238a
3. 0x19921f7e7c83c14b38936fd624d8580f35fdd2b6befbc65b9b0ae247a245d41f
4. 0xa6c57b73849fe10ce04546bef87f0013e5c20d48226597190994a44c49839545
5. 0x41c8392efac02571c87e3a8b5772942b0c9c591e80314fcd32e9c37e78c878d7
6. 0x4a4d114570394839b4d53064e62d887fb65cf6d4a06af5dd55757bef57ce7ea4
7. 0xafa4472d3df9c43efbe1ec092e6648895723bda6fb1b04379a63b6e1366e5228
8. 0x1fb596b981b61aee4b56dbb9393c69c68ae669cf1c391d62b0362e93d87a6d31
9. 0x0fff2a25bd55d5a83085df36a883aee1c11c8c47faa99faf78e16ce0e54dbba4
10. 0x110be28c9460fde9da5777e67d467b9565876e6ebc73c8245c5d1e989797387f
11. 0x014e6ac2bd09cb47ef261fa8d56392362b98c9b103bb1037674237d3604f081f
12. 0x31b890f57b06aeb1ca9fb0cdc688bb75678ab9b2ff8ba49765e3d7bc0ae98597
13. 0x8ba3430866b4c11cea7eba9923ee4fa8a5074849df417006e4441426c1f13056
14. 0x5cdeb4648502e0633d01cc4f3379d48cccb9d4f528565b2868eb93db0df9e829
15. 0x7726154b91b2ad65b13849ef6cb6443b1f0ff113a3089c9bd5f2bcfc16be099d
16. 0x47b89901b0f07938a6b9a66ddf35683903f79d756a7c7763665fd632758b08d0
17. 0x9a83be955a206deb65b995adfd92c58fa31c95fbbf926bd199d300e70b08b26d
18. 0x20704208aa6923d6b2450ef74ede87a6e0265d46447926038fe9506e9e154b2d
19. 0x9b9ce5b74b9bab5121612ef6b64920a8d453cbf311096a423eef9702747e868a

Day root

0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8

Chained

0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a

Published

On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae