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Evidence row 118783

Observed , by baseline/1.

Kind
listing
About
source_record x402_bazaar:https://prop.halowerk.com/v1/flood-risk-asset
Recorded
Previous row
None: the first of its kind about this subject
Body SHA-256
6b10eceedd89e4ad65b7bb375e154750a53fb5ffc344704699d198c7372ed086
Leaf
0xcc04c1b69b50a38b8e08c3302b20141423b01df5105d313555112d33777b807a

What was observed

{
  "endpoints": [
    [
      "x402",
      "https://prop.halowerk.com/v1/flood-risk-asset"
    ]
  ],
  "name": "prop.halowerk.com/v1/flood-risk-asset",
  "owner_address": "0x2880edfff13100677bf97a3cbdf3bc34771c4e5e",
  "raw": {
    "accepts": [
      {
        "amount": "4000",
        "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
        "currency": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
        "extra": {
          "asset": "USDC",
          "assetTransferMethod": "eip3009",
          "eip712Domain": {
            "chainId": 8453,
            "name": "USD Coin",
            "verifyingContract": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
            "version": "2"
          },
          "name": "USD Coin",
          "network_name": "Base Mainnet",
          "version": "2"
        },
        "maxTimeoutSeconds": 300,
        "network": "eip155:8453",
        "payTo": "0x2880EdfFF13100677Bf97A3CBdF3Bc34771C4E5E",
        "recipient": "0x2880EdfFF13100677Bf97A3CBdF3Bc34771C4E5E",
        "scheme": "exact"
      }
    ],
    "description": "Multiplies each mutually exclusive supplied scenario probability by its supplied damage fraction and asset replacement value, then sums expected loss. It does not obtain hazard maps, model hydrology, validate damage curves, price insurance or predict a particular event.",
    "extensions": {
      "bazaar": {
        "info": {
          "input": {
            "body": {
              "asset_replacement_value": 2800000,
              "scenarios": [
                {
                  "annual_probability": 0.1,
                  "inundation_depth_m": 0.2,
                  "scenario_id": "frequent-shallow",
                  "supplied_damage_fraction": 0.03
                },
                {
                  "annual_probability": 0.01,
                  "inundation_depth_m": 1.4,
                  "scenario_id": "rare-deep",
                  "supplied_damage_fraction": 0.38
                }
              ]
            },
            "bodyType": "json",
            "method": "POST",
            "type": "http"
          }
        },
        "schema": {
          "$schema": "https://json-schema.org/draft/2020-12/schema",
          "properties": {
            "input": {
              "additionalProperties": false,
              "properties": {
                "body": {
                  "additionalProperties": false,
                  "properties": {
                    "asset_replacement_value": {
                      "description": "Value in a caller-selected currency.",
                      "maximum": 1000000000000000,
                      "minimum": 0,
                      "type": "number"
                    },
                    "scenarios": {
                      "items": {
                        "additionalProperties": false,
                        "properties": {
                          "annual_probability": {
                            "maximum": 1,
                            "minimum": 0,
                            "type": "number"
                          },
                          "inundation_depth_m": {
                            "maximum": 1000,
                            "minimum": 0,
                            "type": "number"
                          },
                          "scenario_id": {
                            "maxLength": 128,
                            "minLength": 1,
                            "type": "string"
                          },
                          "supplied_damage_fraction": {
                            "maximum": 1,
                            "minimum": 0,
                            "type": "number"
                          }
                        },
                        "required": [
                          "scenario_id",
                          "annual_probability",
                          "inundation_depth_m",
                          "supplied_damage_fraction"
                        ],
                        "type": "object"
                      },
                      "maxItems": 10000,
                      "minItems": 1,
                      "type": "array"
                    }
                  },
                  "required": [
                    "asset_replacement_value",
                    "scenarios"
                  ],
                  "type": "object"
                },
                "bodyType": {
                  "enum": [
                    "json",
                    "form-data",
                    "text"
                  ],
                  "type": "string"
                },
                "method": {
                  "enum": [
                    "POST",
                    "PUT",
                    "PATCH"
                  ],
                  "type": "string"
                },
                "type": {
                  "const": "http",
                  "type": "string"
                }
              },
              "required": [
                "type",
                "method",
                "bodyType",
                "body"
              ],
              "type": "object"
            }
          },
          "required": [
            "input"
          ],
          "type": "object"
        }
      }
    },
    "lastUpdated": "2026-10-08T06:12:40.084Z",
    "quality": {
      "l30DaysTotalCalls": 3,
      "l30DaysUniquePayers": 3,
      "lastCalledAt": "2026-10-08T06:12:39.87Z"
    },
    "resource": "https://prop.halowerk.com/v1/flood-risk-asset",
    "type": "http",
    "x402Version": 2
  },
  "source": "x402_bazaar",
  "summary": "Multiplies each mutually exclusive supplied scenario probability by its supplied damage fraction and asset replacement value, then sums expected loss. It does not obtain hazard maps, model hydrology, validate damage curves, price insurance or predict a particular event."
}

What the leaf hashes

{"body":"6b10eceedd89e4ad65b7bb375e154750a53fb5ffc344704699d198c7372ed086","id":118783,"kind":"listing","method":"baseline/1","observed_us":1793025613710674,"prev":null,"subject":"x402_bazaar:https://prop.halowerk.com/v1/flood-risk-asset","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. 0xcc04bdc1e6580ccdafb96e8b72a82bf197f6426c45829a45778e4f41d269abd0
  2. 0x901d71ec3f79fac210a46c4ade6492bec2b20d1b5a14ff787db9d679c5139105
  3. 0xbb58aa7a2ad1010b5be34ccfe5534b33e1de7e4e53ec6179a42c54bf0fe1105d
  4. 0xf950b9974dd422b841853ad7ce92627910eeccc9c889ff134879438126426610
  5. 0xb9c54a27c866504e3a70599da591048f25bf19294d962c0910c075a9337f11d5
  6. 0x991b93b4d3da6aab7d8419bf12a4be36ab1ce50cb0a231452204e3c6828394ef
  7. 0x808dfdbfd8fa80bcfcc043969e335c7fa4860be9865c98f08b2c55e9eaef7b7a
  8. 0x50097f72f9019614fa93d776bdc340db88d44c142495ec0a6c2e661adb5593e2
  9. 0x726a778fce960a500e0adbf8806224f8f312af0012d5eb4d9f9c196fb4aadd2e
  10. 0x271656ddeb4ac114157823f5b692e3080e2fc3456a434600ab85e26da37fbbb5
  11. 0x351a777a477836c8c26972f993b4d53df3d67c6acea7cef50b5038df678d6a3f
  12. 0x85ea84dc356483b05e7ec8ed6e303988684070a1512dc756c8e64a7e3604feaf
  13. 0x985acd37cc044d5aa6ad959194da8e91c81045df83517891ed92f1763a9ab825
  14. 0x5b20d8aab05225a3497eadcce89d2e2a586a510fb31334793d3f46f88f0157c5
  15. 0xe94ca5b798e9899ad611e57835af42266e20f53f44977e487d81365e30972beb
  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