Evidence row 121946

What was observed

{
  "endpoints": [
    [
      "x402",
      "https://stat.halowerk.com/v1/oss-openblas-covariance-whitening-transform"
    ]
  ],
  "name": "stat.halowerk.com/v1/oss-openblas-covariance-whitening-transform",
  "owner_address": "0x2880edfff13100677bf97a3cbdf3bc34771c4e5e",
  "raw": {
    "accepts": [
      {
        "amount": "1500",
        "asset": "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",
        "scheme": "exact"
      }
    ],
    "description": "Produces the two transforms a stochastic model normally needs from a covariance: the whitening matrix that maps correlated data to unit-variance uncorrelated data, and the coloring matrix that goes back the other way. Both are returned so the round trip is available without a second call.",
    "extensions": {
      "bazaar": {
        "info": {
          "input": {
            "body": {
              "covariance": [
                [
                  4,
                  2
                ],
                [
                  2,
                  2
                ]
              ]
            },
            "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": {
                    "covariance": {
                      "items": {
                        "items": {
                          "maximum": 1000000,
                          "minimum": -1000000,
                          "type": "number"
                        },
                        "maxItems": 128,
                        "minItems": 1,
                        "type": "array"
                      },
                      "maxItems": 128,
                      "minItems": 1,
                      "type": "array"
                    }
                  },
                  "required": [
                    "covariance"
                  ],
                  "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": "2026-10-23T07:35:48.469Z",
    "quality": {
      "l30DaysTotalCalls": 2,
      "l30DaysUniquePayers": 2,
      "lastCalledAt": "2026-10-23T07:35:48.05Z"
    },
    "resource": "https://stat.halowerk.com/v1/oss-openblas-covariance-whitening-transform",
    "type": "http",
    "x402Version": 2
  },
  "source": "x402_bazaar",
  "summary": "Produces the two transforms a stochastic model normally needs from a covariance: the whitening matrix that maps correlated data to unit-variance uncorrelated data, and the coloring matrix that goes back the other way. Both are returned so the round trip is available without a second call."
}

What the leaf hashes

{"body":"7d75d7678b76abb67d2af682ea83ddddf0ef7654dc092ecfa7aa4e8eb50e68dc","id":121946,"kind":"listing","method":"baseline/1","observed_us":1793025620701126,"prev":null,"subject":"x402_bazaar:https://stat.halowerk.com/v1/oss-openblas-covariance-whitening-transform","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. 0x76aa48778e251fd97ed6c53c9470177eb17de218147c4eee3dbc9b5a6f358c1d
2. 0xb6f08afa60b7e325904230c05a2ee57e73c1e10c8b98985915e5b8f860e43dad
3. 0xea076c5ea5b1e4ca7cd5e649a7d9394c0ee4591bba37c59ff1adb241f8e6756d
4. 0x0f94a9bbb3aafc8b0c5c0c855d68e63d07619018b34c19302014eb775fb330f5
5. 0x9e53f12df0791f8269423cb36718832c55a1c133c38ade777aec1ee5c984c6e9
6. 0xdb7c0d0a8aac77bd080b8948095e40d1bbce47d9ca35cff64a26fe0942c9db6a
7. 0xe8203eba871d4a6ed39a89c667e3a798894796c3eb182ebaf8f1f51880f194eb
8. 0x42eacf0c2f1325762511e2e4ab7fa6146cbe416b7b2bedc564922527062cf628
9. 0x12a8628644add05d9c2cce99c77be571b84868246cc33afc7daf5d11fe55b57e
10. 0xf99eec69e7b273c29cfbdaac6b9d0d445684d8769e059a72e77ed52679165ecc
11. 0x2b0f6f9a9d5201404fd0cd99316c4ea1c2b3853278de26cb244fc2433c8b6831
12. 0x8fdfac9874f184de58b63efbdab0fc27674958d741146d02f58b04d3c559cabf
13. 0xdef3cab0b4070d8ad7f4f91288da4881d19789f131b1b353621df79df04a0617
14. 0xc4fe2177880ea1b0e82b6fe4c270090fd0fbe5af3a42a8cbf6a6ba2fa35625f6
15. 0x15039087bf60ae9b06b756ec3cbc299760e59923a438bbd91e34d105186db0ed
16. 0x2b6e23e3624a1b66e1d2298cfbce99a93ce6b13d24a58112a71802d79c5f7a76
17. 0xd21942ae3214eff88e08ab04884fd4b11958b51af9a0741b7668e2d07a2c56c9
18. 0x9a9024edb5069d88a324facb310a5ce8e495214bbaa968f077bede437390194f
19. 0x9b9ce5b74b9bab5121612ef6b64920a8d453cbf311096a423eef9702747e868a

Day root

0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8

Chained

0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a

Published

On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae