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Evidence row 120400

Observed , by baseline/1.

Kind
listing
About
source_record x402_bazaar:https://saylorinnovations.com/api/marketing/roas?
Recorded
Previous row
None: the first of its kind about this subject
Body SHA-256
f48b445638ff1947c1b966107e1badc2ad87b5edd8f0a9bb14dc4a083c9cff1f
Leaf
0x6a08b5d3b87084133f68a2b299eea87208b7795aa4d28ae3199e0b24f4d837f5

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": "Hc3sdEAsCGQcpgfivywog9uwtk8gUBUZgsxdME1EJy88",
          "memo": "saylor:marketing:roas",
          "reference": "8kkEv8mRSBN42ZevNLeqgkTW5L3Pv7VNcM7tVvSjLCBe",
          "session": "eyJhcnRpY2xlSWQiOiJtYXJrZXRpbmc6cm9hcyIsInJlZmVyZW5jZSI6Ijhra0V2OG1SU0JONDJaZXZOTGVxZ2tUVzVMM1B2N1ZOY003dFZ2U2pMQ0JlIiwicmVjaXBpZW50IjoiN0xTamZySmY4Zk5zQjhWQTl1N04zV0VuMjVzbVFMcG9iM1N2eVV2WGFjeTciLCJtaW50IjoiRVBqRldkZDVBdWZxU1NxZU0ycU4xeHp5YmFwQzhHNHdFR0drWnd5VER0MXYiLCJtaW5BbW91bnQiOjEwMDAwLCJleHAiOjE3OTIyNDExNjY3ODF9.3AU10J7nXt1IXJDb7knqGDIZE9fc_ke0rbwHIE5XDGc"
        },
        "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": "2026-10-17T12:44:06.825Z",
    "quality": {
      "l30DaysTotalCalls": 1,
      "l30DaysUniquePayers": 1,
      "lastCalledAt": "2026-10-17T12:44:06.474Z"
    },
    "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":"f48b445638ff1947c1b966107e1badc2ad87b5edd8f0a9bb14dc4a083c9cff1f","id":120400,"kind":"listing","method":"baseline/1","observed_us":1793025618002719,"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 (296695 rows).

  1. 0x6a08930e198a633c09ab4f7f35e6e61787f94fc6dc261d1cfd6d6ad02c7e6adf
  2. 0xaf4175d799907f7a1b19f78696d5b2148abd3705e9299764d7fb22185d826af0
  3. 0x04ae8c12c9afaaafaf13fc5f88b451cc556be3a4505ac9ba5a95df40130b04ec
  4. 0xd7fe130e6d061c9b811618aefbf80c105fa935af3629bfe6e397477c0e6b5e55
  5. 0x986e6c7cb0697c515f01d2cb909d47b543382843116a66c160330529cb8be46f
  6. 0x34ba53a41ceff4ee44940cd9c3b98b8e0e62d527b3a71348b39555b7fefe481c
  7. 0x2e7f0ba05dc44f38166471a02463f13bdbbedcca69edaaa48f81d807559ddfe6
  8. 0x32de3c5d4d666a856ce1f73f01dd331d3f4f401d5ab857879a03c1dfdd425085
  9. 0x11d1fc3e009ce9cbdbc644ed88dc5547619bf405e76d349e3fe60ac3ba81753d
  10. 0xdeb16a4852b1c249628d0590c012fe1adebc9195ddf46ba3cbf8dcba07af7c93
  11. 0xe8b20383a9232d45872f50d7c4c484b3ffe756328a5a1e2d63218cd46b95695c
  12. 0x9483a0a7a066ffc2fb890c8f34dbc91bf373e546e4a3800b76064288b3cc4875
  13. 0x5f350d70c252ff1169c0210fd45fce1b0ab8d7316f048741a9e90a6c8cb65dcf
  14. 0x9a79c65e077cd9da9d436b3ade6f5ddc0d244510c4d5903ef2f02d81205f7666
  15. 0xa2d436d488e3600b0e5c3e3ed9c9234cd52853c59830b786334fd0c4292d9f40
  16. 0x47b89901b0f07938a6b9a66ddf35683903f79d756a7c7763665fd632758b08d0
  17. 0x9a83be955a206deb65b995adfd92c58fa31c95fbbf926bd199d300e70b08b26d
  18. 0x20704208aa6923d6b2450ef74ede87a6e0265d46447926038fe9506e9e154b2d
  19. 0x9b9ce5b74b9bab5121612ef6b64920a8d453cbf311096a423eef9702747e868a
Day root
0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8
Chained
0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a
Published
On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae

How to check it · This row as JSON