Evidence row 67234

What was observed

{
  "endpoints": [
    [
      "x402",
      "https://api.marketintelligenceapi.com/api/v1/analytics/anomaly-score"
    ]
  ],
  "name": "Market Intelligence API",
  "owner_address": "0x48d5a78d480b4c32de319c2aef69e682dc304615",
  "raw": {
    "accepts": [
      {
        "amount": "10000",
        "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
        "extra": {
          "name": "USD Coin",
          "version": "2"
        },
        "maxTimeoutSeconds": 60,
        "network": "eip155:8453",
        "payTo": "0x48d5A78d480B4C32dE319C2aEF69e682Dc304615",
        "scheme": "exact"
      },
      {
        "amount": "10000",
        "asset": "0x3c499c542cEF5E3811e1192ce70d8cC03d5c3359",
        "extra": {
          "name": "USD Coin",
          "version": "2"
        },
        "maxTimeoutSeconds": 60,
        "network": "eip155:137",
        "payTo": "0x48d5A78d480B4C32dE319C2aEF69e682Dc304615",
        "scheme": "exact"
      },
      {
        "amount": "10000",
        "asset": "0xaf88d065e77c8cC2239327C5EDb3A432268e5831",
        "extra": {
          "name": "USD Coin",
          "version": "2"
        },
        "maxTimeoutSeconds": 60,
        "network": "eip155:42161",
        "payTo": "0x48d5A78d480B4C32dE319C2aEF69e682Dc304615",
        "scheme": "exact"
      },
      {
        "amount": "10000",
        "asset": "EPjFWdd5AufqSSqeM2qN1xzybapC8G4wEGGkZwyTDt1v",
        "extra": {
          "feePayer": "GVJJ7rdGiXr5xaYbRwRbjfaJL7fmwRygFi1H6aGqDveb",
          "name": "USD Coin",
          "version": "2"
        },
        "maxTimeoutSeconds": 60,
        "network": "solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp",
        "payTo": "9CAhY1vdaZfrfoto3KLQtRAo1dVWxNn5xAfmc2XbZVsf",
        "scheme": "exact"
      },
      {
        "amount": "10000",
        "asset": "0x79A02482A880bCE3F13e09Da970dC34db4CD24d1",
        "extra": {
          "name": "USDC",
          "version": "2"
        },
        "maxTimeoutSeconds": 60,
        "network": "eip155:480",
        "payTo": "0x48d5A78d480B4C32dE319C2aEF69e682Dc304615",
        "scheme": "exact"
      },
      {
        "amount": "9000",
        "asset": "0x60a3E35Cc302bFA44Cb288Bc5a4F316Fdb1adb42",
        "extra": {
          "name": "EURC",
          "version": "2"
        },
        "maxTimeoutSeconds": 60,
        "network": "eip155:8453",
        "payTo": "0x48d5A78d480B4C32dE319C2aEF69e682Dc304615",
        "scheme": "exact"
      },
      {
        "amount": "9000",
        "asset": "0x1C60ba0A0eD1019e8Eb035E6daF4155A5cE2380B",
        "extra": {
          "name": "EURC",
          "version": "2"
        },
        "maxTimeoutSeconds": 60,
        "network": "eip155:480",
        "payTo": "0x48d5A78d480B4C32dE319C2aEF69e682Dc304615",
        "scheme": "exact"
      },
      {
        "amount": "10000",
        "asset": "0x036CbD53842c5426634e7929541eC2318f3dCF7e",
        "extra": {
          "name": "USDC",
          "version": "2"
        },
        "maxTimeoutSeconds": 60,
        "network": "eip155:84532",
        "payTo": "0x48d5A78d480B4C32dE319C2aEF69e682Dc304615",
        "scheme": "exact"
      }
    ],
    "description": "Use to flag outliers in any series ($0.01): send value and reference values; get a 0-100 anomaly score, the z-score, severity (NORMAL, LOW, MEDIUM, HIGH, EXTREME) and direction (ABOVE/BELOW). Fixed statistical thresholds, no AI and no data fetched; a score, not a probability.",
    "extensions": {
      "bazaar": {
        "info": {
          "input": {
            "body": {
              "value": 106,
              "values": [
                100,
                104,
                98,
                101,
                97,
                103,
                99,
                102,
                100,
                96
              ]
            },
            "bodyType": "json",
            "method": "POST",
            "type": "http"
          },
          "output": {
            "example": {
              "anomalyScore": 64.959439,
              "direction": "ABOVE",
              "mean": 100,
              "method": "SAMPLE",
              "observations": 10,
              "operation": "anomaly-score",
              "result": 64.959439,
              "scoring": "100*tanh(|z|/3)",
              "severity": "MEDIUM",
              "standardDeviation": 2.581989,
              "value": 106,
              "zScore": 2.32379
            },
            "type": "json"
          }
        },
        "schema": {
          "$schema": "https://json-schema.org/draft/2020-12/schema",
          "additionalProperties": false,
          "properties": {
            "input": {
              "additionalProperties": false,
              "properties": {
                "body": {
                  "properties": {
                    "method": {
                      "default": "SAMPLE",
                      "description": "Standard deviation: SAMPLE divides by n-1, POPULATION by n",
                      "enum": [
                        "SAMPLE",
                        "POPULATION"
                      ],
                      "type": "string"
                    },
                    "value": {
                      "description": "The observation to score",
                      "type": "number"
                    },
                    "values": {
                      "items": {
                        "description": "Reference value",
                        "type": "number"
                      },
                      "maxItems": 10000,
                      "minItems": 2,
                      "type": "array"
                    }
                  },
                  "required": [
                    "value",
                    "values"
                  ],
                  "type": "object"
                },
                "bodyType": {
                  "enum": [
                    "json"
                  ],
                  "type": "string"
                },
                "method": {
                  "enum": [
                    "POST"
                  ],
                  "type": "string"
                },
                "type": {
                  "const": "http",
                  "type": "string"
                }
              },
              "required": [
                "type",
                "method"
              ],
              "type": "object"
            },
            "output": {
              "additionalProperties": true,
              "properties": {
                "example": {
                  "description": "Example JSON response returned by this endpoint"
                },
                "type": {
                  "type": "string"
                }
              },
              "required": [
                "type"
              ],
              "type": "object"
            }
          },
          "required": [
            "input",
            "output"
          ],
          "type": "object"
        }
      }
    },
    "lastUpdated": "2026-10-08T06:08:43.387Z",
    "quality": {
      "l30DaysTotalCalls": 5,
      "l30DaysUniquePayers": 3,
      "lastCalledAt": "2026-10-08T06:08:43.179Z"
    },
    "resource": "https://api.marketintelligenceapi.com/api/v1/analytics/anomaly-score",
    "serviceName": "Market Intelligence API",
    "tags": [
      "anomaly detection",
      "outliers",
      "z score",
      "statistics"
    ],
    "type": "http",
    "x402Version": 2
  },
  "source": "x402_bazaar",
  "summary": "Use to flag outliers in any series ($0.01): send value and reference values; get a 0-100 anomaly score, the z-score, severity (NORMAL, LOW, MEDIUM, HIGH, EXTREME) and direction (ABOVE/BELOW). Fixed statistical thresholds, no AI and no data fetched; a score, not a probability."
}

What the leaf hashes

{"body":"6379152fa610fa4ed22a95abb75e8ae4800fa3a1e9a1b8a9fa18f70567bf1cb8","id":67234,"kind":"listing","method":"baseline/1","observed_us":1793025462432743,"prev":null,"subject":"x402_bazaar:https://api.marketintelligenceapi.com/api/v1/analytics/anomaly-score","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. 0x60c55067846de1a2ef1a6a6d98233aca25b5b9cf8aa701e307947b306800e988
2. 0x4620f696f7ead4cb6e1f6e29a987a5aff4a5a5bfef265ad403c20e0565bfb3ad
3. 0x6e1b1b0fc149da12d3fdfb07185ea22faa44d93fc1fd8fadb3a3ce892d1d1178
4. 0x2956b88176b40bf605f98e9d5f5141a8eaf1df82af49047e6b7cbef2fa96bd5d
5. 0x07d5aacae28cfdf64023ccb092d46974708cd4c47cb734abb8430ff5be2ca83a
6. 0x5dd76e7a6b2a22b3d78c2eeb565a7058fd7373e172bf8a0bf80afed054c97dd5
7. 0x4b937b13c24af6d6a04a968e46ebc66717c3ef9f5a058d51e9d36007b49a8248
8. 0x1a6021d6be8deb8c981e19e3a32d813332e047d754a2bca3059dea05103518b3
9. 0x8c6903777b1654f5fb12e259fed8098cda16e3130625244795d81936ec868a9c
10. 0x490868b60140fda9b3c25d79c99d6f0d78d632ecde384aa788c6d47760ca6caa
11. 0x52877ea072e10a1d3a921f7b54362005ad7a9baf5c99f31ec73a534bfea8930d
12. 0xf4e3bedc99674db9d8ab4bc7655992ec76f822b327e6c89599b0baa3756fbd19
13. 0x89fcaf55e37dd777228f271b79ea895534a66ec0d184363c2a6eb1b4d23c9ef1
14. 0x216cebb9ae5414599109a02297c4817d7d1c6b1394afeb97efe38e32f0053974
15. 0x7726154b91b2ad65b13849ef6cb6443b1f0ff113a3089c9bd5f2bcfc16be099d
16. 0x47b89901b0f07938a6b9a66ddf35683903f79d756a7c7763665fd632758b08d0
17. 0x9a83be955a206deb65b995adfd92c58fa31c95fbbf926bd199d300e70b08b26d
18. 0x20704208aa6923d6b2450ef74ede87a6e0265d46447926038fe9506e9e154b2d
19. 0x9b9ce5b74b9bab5121612ef6b64920a8d453cbf311096a423eef9702747e868a

Day root

0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8

Chained

0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a

Published

On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae