Evidence row 120399

What was observed

{
  "endpoints": [
    [
      "x402",
      "https://saylorinnovations.com/api/marketing/roas"
    ]
  ],
  "name": "Saylor Innovations  Marketing RO",
  "owner_address": "0xa2a8df0f7caabea4e120a2568118f141569fc8aa",
  "raw": {
    "accepts": [
      {
        "amount": "10000",
        "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
        "extra": {
          "assetTransferMethod": "eip3009",
          "facilitatorOnly": true,
          "memo": "saylor:marketing:roas",
          "name": "USD Coin",
          "note": "Base settles through an x402 facilitator. Send payload.signature and payload.authorization (EIP-3009); there is no self-submitted path on this network.",
          "version": "2"
        },
        "maxTimeoutSeconds": 120,
        "network": "eip155:8453",
        "payTo": "0xA2A8dF0f7CaaBEa4e120a2568118f141569fc8aa",
        "scheme": "exact"
      },
      {
        "amount": "10000",
        "asset": "EPjFWdd5AufqSSqeM2qN1xzybapC8G4wEGGkZwyTDt1v",
        "extra": {
          "feePayer": "GVJJ7rdGiXr5xaYbRwRbjfaJL7fmwRygFi1H6aGqDveb",
          "memo": "saylor:marketing:roas",
          "reference": "87fgbiTXuS9NHdKDKdgfANscDTiyzWWCiD398RQ6jceH",
          "session": "eyJhcnRpY2xlSWQiOiJtYXJrZXRpbmc6cm9hcyIsInJlZmVyZW5jZSI6Ijg3ZmdiaVRYdVM5TkhkS0RLZGdmQU5zY0RUaXl6V1dDaUQzOThSUTZqY2VIIiwicmVjaXBpZW50IjoiN0xTamZySmY4Zk5zQjhWQTl1N04zV0VuMjVzbVFMcG9iM1N2eVV2WGFjeTciLCJtaW50IjoiRVBqRldkZDVBdWZxU1NxZU0ycU4xeHp5YmFwQzhHNHdFR0drWnd5VER0MXYiLCJtaW5BbW91bnQiOjEwMDAwLCJleHAiOjE3OTIzMzUxMjc1OTB9.jc3MhyIhPoQAzU8tYNVJ3ds9iLWYetqtue0PNVXOJJ8"
        },
        "maxTimeoutSeconds": 120,
        "network": "solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp",
        "payTo": "7LSjfrJf8fNsB8VA9u7N3WEn25smQLpob3SvyUvXacy7",
        "scheme": "exact"
      }
    ],
    "description": "Marketing ROAS and ACOS calculator from ad spend and attributed revenue",
    "extensions": {
      "bazaar": {
        "info": {
          "input": {
            "method": "GET",
            "queryParams": {
              "orders": "20",
              "revenue": "1000",
              "spend": "250"
            },
            "type": "http"
          },
          "output": {
            "example": {
              "acos_percent": 25,
              "ad_spend": 250,
              "attributed_revenue": 1000,
              "average_order_value": 50,
              "cost_per_order": 12.5,
              "orders": 20,
              "roas": 4,
              "scope_note": "Descriptive marketing arithmetic only; attribution windows matter."
            },
            "type": "json"
          }
        },
        "schema": {
          "$schema": "https://json-schema.org/draft/2020-12/schema",
          "properties": {
            "input": {
              "additionalProperties": false,
              "properties": {
                "method": {
                  "enum": [
                    "GET",
                    "POST",
                    "PUT",
                    "PATCH",
                    "DELETE",
                    "HEAD"
                  ],
                  "type": "string"
                },
                "queryParams": {
                  "properties": {
                    "orders": {
                      "description": "optional positive order count for CPO and AOV (query)",
                      "type": "string"
                    },
                    "revenue": {
                      "description": "required positive attributed revenue (query)",
                      "type": "string"
                    },
                    "spend": {
                      "description": "required positive ad spend (query)",
                      "type": "string"
                    }
                  },
                  "required": [
                    "spend",
                    "revenue"
                  ],
                  "type": "object"
                },
                "type": {
                  "const": "http",
                  "type": "string"
                }
              },
              "required": [
                "type",
                "method"
              ],
              "type": "object"
            },
            "output": {
              "properties": {
                "example": {
                  "properties": {
                    "acos_percent": {
                      "description": "Acos, as a percentage",
                      "type": "number"
                    },
                    "ad_spend": {
                      "description": "Ad spend",
                      "type": "number"
                    },
                    "attributed_revenue": {
                      "description": "Attributed revenue",
                      "type": "number"
                    },
                    "average_order_value": {
                      "description": "Average order value",
                      "type": "number"
                    },
                    "cost_per_order": {
                      "description": "Cost per order",
                      "type": "number"
                    },
                    "formula": {
                      "description": "Formula used for the calculation",
                      "type": "string"
                    },
                    "orders": {
                      "type": "number"
                    },
                    "revenue_per_dollar_spent": {
                      "description": "Revenue per dollar spent",
                      "type": "number"
                    },
                    "roas": {
                      "type": "number"
                    },
                    "scope_note": {
                      "description": "What this data covers and what it leaves out",
                      "type": "string"
                    }
                  },
                  "required": [
                    "ad_spend",
                    "attributed_revenue",
                    "orders",
                    "roas",
                    "acos_percent",
                    "cost_per_order",
                    "average_order_value",
                    "scope_note"
                  ],
                  "type": "object"
                },
                "type": {
                  "const": "json",
                  "type": "string"
                }
              },
              "required": [
                "type"
              ],
              "type": "object"
            }
          },
          "required": [
            "input"
          ],
          "type": "object"
        }
      }
    },
    "iconUrl": "https://res.cloudinary.com/bdb-prod/image/upload/c_fill,ar_1:1,w_256,h_256,f_auto,q_auto/v1791811517/bazaar-icons/bc5e2b3d111ebbef.jpg",
    "lastUpdated": "2026-10-18T14:50:07.638Z",
    "quality": {
      "l30DaysTotalCalls": 2,
      "l30DaysUniquePayers": 2,
      "lastCalledAt": "2026-10-18T14:50:07.288Z"
    },
    "resource": "https://saylorinnovations.com/api/marketing/roas",
    "serviceName": "Saylor Innovations  Marketing RO",
    "tags": [
      "marketing",
      "roas",
      "acos",
      "advertising"
    ],
    "type": "http",
    "x402Version": 2
  },
  "source": "x402_bazaar",
  "summary": "Marketing ROAS and ACOS calculator from ad spend and attributed revenue"
}

What the leaf hashes

{"body":"9797711f6c85df3da5cd7a4f973c3fc9cbb3ab39b85b7c736983ed64a0f1e931","id":120399,"kind":"listing","method":"baseline/1","observed_us":1793025618001483,"prev":null,"subject":"x402_bazaar:https://saylorinnovations.com/api/marketing/roas","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. 0x311f9dac79926b2c1f7199969441dc549ecb07482f160c01b2b81745d2c38de8
2. 0x17d8e01bd50ffeecee802e4d0e4dab845fe1881d6ed419101378c7fd80f5c902
3. 0x0329ffc4fcc69a7640b07c41d5196266ab6e52cbc0fb638c4d6ffb03f87c2a61
4. 0x7c1da4a7429280b2a427bc694a07474738c4826ad46639950261b4c910ca5415
5. 0xcdc24ee3f30eaa2de385b5b9ff382c18de52a9bb43efe03518556daf87a86139
6. 0xa9450c7518d36ce497c756630c9054cf047e2c81b35180cd30e5f006a5a2756e
7. 0xce403f6cbec67f9413f9725d641df6e21be33373d8a9f5d340efdcfe628327ac
8. 0x9c52a45c75c760228106f2ed0ec66efbb06841681749b07c8a6b5bfc03add8a7
9. 0x0ace4b5ec7ff0e4f2e1876bbf4e35a303ab6a793cd8d470cf760891384bc4010
10. 0x14dcc9b621776bab010784ab2ff8bc9cde2e6118dc9a5e1e68af1ab2b33794cd
11. 0xa4cc17a7ce78f05039820f0a50d323cd0bedd23c37338f2719d249dca75c07ec
12. 0xd85c7204d76d26255c94ef4caa12c05addd08238caa5cdc3888ea60b74e6b940
13. 0x36a44931b230976c04691d90bf3a25ed4111d74c78b672850d8025a911ca88dd
14. 0x683955a5b2250ad50568d022a6580d8739b6aff1356779d72a773b088e7c289c
15. 0x610738e0c43687aded83c613c73de8b5226c73c375858a167436461c522ea213
16. 0x06d71bfa7d8b41d62c8836efc2c601e1cc3772d9453596b2ae4950887f3310ca
17. 0x8c756542e482157df0c36464d75c937b845e4423dbbcfad08f0cf8d5a16b9a13
18. 0x20704208aa6923d6b2450ef74ede87a6e0265d46447926038fe9506e9e154b2d
19. 0x9b9ce5b74b9bab5121612ef6b64920a8d453cbf311096a423eef9702747e868a

Day root

0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8

Chained

0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a

Published

On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae