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Evidence row 64334

Observed , by baseline/1.

Kind
listing
About
source_record x402_bazaar:https://aialign.halowerk.com/v1/goal-drift
Recorded
Previous row
None: the first of its kind about this subject
Body SHA-256
7882c3c7ff189d1342610cc7e0d1675ea5586ef61a46e407bec4c660dc84d456
Leaf
0xa3c2dfb9984843e4ee604b3fbf41b2362f507be59bde8cde951bd07960eee45e

What was observed

{
  "endpoints": [
    [
      "x402",
      "https://aialign.halowerk.com/v1/goal-drift"
    ]
  ],
  "name": "aialign.halowerk.com/v1/goal-drift",
  "owner_address": "0x2880edfff13100677bf97a3cbdf3bc34771c4e5e",
  "raw": {
    "accepts": [
      {
        "amount": "3000",
        "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": "Aligns caller-labeled dimensions, computes cosine similarity and a normalized L1 difference, and flags drift against a supplied cosine threshold. It does not infer goals from behavior, decide which goal is correct or detect deception; results depend entirely on the supplied vector representation.",
    "extensions": {
      "bazaar": {
        "info": {
          "input": {
            "body": {
              "dimensions": [
                {
                  "current_weight": 0.62,
                  "initial_weight": 0.7,
                  "name": "user_safety"
                },
                {
                  "current_weight": 0.31,
                  "initial_weight": 0.2,
                  "name": "task_completion"
                },
                {
                  "current_weight": 0.07,
                  "initial_weight": 0.1,
                  "name": "resource_efficiency"
                }
              ],
              "minimum_cosine_similarity": 0.97
            },
            "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": {
                    "dimensions": {
                      "items": {
                        "additionalProperties": false,
                        "properties": {
                          "current_weight": {
                            "maximum": 1000000000000,
                            "minimum": -1000000000000,
                            "type": "number"
                          },
                          "initial_weight": {
                            "maximum": 1000000000000,
                            "minimum": -1000000000000,
                            "type": "number"
                          },
                          "name": {
                            "maxLength": 128,
                            "minLength": 1,
                            "type": "string"
                          }
                        },
                        "required": [
                          "name",
                          "initial_weight",
                          "current_weight"
                        ],
                        "type": "object"
                      },
                      "maxItems": 10000,
                      "minItems": 1,
                      "type": "array"
                    },
                    "minimum_cosine_similarity": {
                      "maximum": 1,
                      "minimum": -1,
                      "type": "number"
                    }
                  },
                  "required": [
                    "dimensions",
                    "minimum_cosine_similarity"
                  ],
                  "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": "2026-10-08T06:13:31.084Z",
    "quality": {
      "l30DaysTotalCalls": 2,
      "l30DaysUniquePayers": 2,
      "lastCalledAt": "2026-10-08T06:13:30.853Z"
    },
    "resource": "https://aialign.halowerk.com/v1/goal-drift",
    "type": "http",
    "x402Version": 2
  },
  "source": "x402_bazaar",
  "summary": "Aligns caller-labeled dimensions, computes cosine similarity and a normalized L1 difference, and flags drift against a supplied cosine threshold. It does not infer goals from behavior, decide which goal is correct or detect deception; results depend entirely on the supplied vector representation."
}

What the leaf hashes

{"body":"7882c3c7ff189d1342610cc7e0d1675ea5586ef61a46e407bec4c660dc84d456","id":64334,"kind":"listing","method":"baseline/1","observed_us":1793025456481867,"prev":null,"subject":"x402_bazaar:https://aialign.halowerk.com/v1/goal-drift","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. 0xa3c36b622b6b64c60455d0aa27f7a74743db8db6fbbcc3aa49e46d608d5f356e
  2. 0xf88d0271e3adc70d2cf87e044d3e0815027352a6e129e52df47c1474a75edf0e
  3. 0xb0e9ec747baa395f3444e56b46cd01ce81150602a17890e2b143135e6840baaa
  4. 0x1b216dbd7dbb26b317baccedd9cd143eaf613b0ccb45133fb29a0a83fcb481c5
  5. 0xefa3039287578d69cdf9882c3968b64788ed05afeee372a91537145d89db73d0
  6. 0xe076bec54ebd11d1d7ba3745420285687082e74a2c81b850d568ff12896c11f5
  7. 0x7e229b19637a5fb6f57db26ebd56dd49a3d9d87dbd14092eae68f71f9d19df70
  8. 0x39fb57078dc9c97a739715891aa93aaa1f4ee4294989abc0017d50c26bf35b5d
  9. 0x78fde7b709e6e55ad9a4e9212d8138abddd3ae38821487602e87956fa71abd08
  10. 0x98005a23cbe74a9cdea08497a91d96ddecf46b8942b406963266e78529eea12d
  11. 0xf02ec0f13d875e636ca9d24097cc2a185cdb09429c8c4ade598b8089f42bb140
  12. 0x19537c574979327583a539261287714af2eee831125de819abab0f155acd3a75
  13. 0xc34c13c58ba9c342ea1b833ac1882a4aea22777c4fd1092b2f83d3bac6b9f845
  14. 0x428106f4ae4ec142f17aebf6fa50935242f8d3f1c211cf95d6351d03d11da2b7
  15. 0x62a900133713919f4eed33d8336876b7a6d538233b8a4f3ed03b29aa44f5bad0
  16. 0x1ac20d30773e1f4f2f811540e9a99b5cca9177c9e2e029acc0d80cf3f1d11f0f
  17. 0xd21942ae3214eff88e08ab04884fd4b11958b51af9a0741b7668e2d07a2c56c9
  18. 0x9a9024edb5069d88a324facb310a5ce8e495214bbaa968f077bede437390194f
  19. 0x9b9ce5b74b9bab5121612ef6b64920a8d453cbf311096a423eef9702747e868a
Day root
0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8
Chained
0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a
Published
On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae

How to check it · This row as JSON