Evidence row 2201561

What was observed

{
  "endpoints": [
    [
      "x402",
      "https://ml-metrics.x402tookit.com/regression-metrics"
    ]
  ],
  "name": "Machine Learning Metrics",
  "owner_address": "0xb531320805c5bed1d46aeadcf4f008fdf172dbda",
  "raw": {
    "accepts": [
      {
        "amount": "20000",
        "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
        "extra": {
          "name": "USD Coin",
          "version": "2"
        },
        "maxTimeoutSeconds": 300,
        "network": "eip155:8453",
        "payTo": "0xb531320805C5BED1D46AEaDcF4F008FDF172DBDa",
        "scheme": "exact"
      },
      {
        "amount": "20000",
        "asset": "EPjFWdd5AufqSSqeM2qN1xzybapC8G4wEGGkZwyTDt1v",
        "extra": {
          "feePayer": "D6ZhtNQ5nT9ZnTHUbqXZsTx5MH2rPFiBBggX4hY1WePM",
          "transactionVersions": [
            0
          ]
        },
        "maxTimeoutSeconds": 300,
        "network": "solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp",
        "payTo": "DUPiupXtuox38dcGoXUKer5mAydCzmaHjrbQ66qeEm8s",
        "scheme": "exact"
      },
      {
        "amount": "20000",
        "asset": "0x3c499c542cEF5E3811e1192ce70d8cC03d5c3359",
        "extra": {
          "name": "USD Coin",
          "version": "2"
        },
        "maxTimeoutSeconds": 300,
        "network": "eip155:137",
        "payTo": "0xb531320805C5BED1D46AEaDcF4F008FDF172DBDa",
        "scheme": "exact"
      },
      {
        "amount": "20000",
        "asset": "0xaf88d065e77c8cC2239327C5EDb3A432268e5831",
        "extra": {
          "name": "USD Coin",
          "version": "2"
        },
        "maxTimeoutSeconds": 300,
        "network": "eip155:42161",
        "payTo": "0xb531320805C5BED1D46AEaDcF4F008FDF172DBDa",
        "scheme": "exact"
      }
    ],
    "description": "MAE, MSE, RMSE, R2, adjusted R2, MAPE, SMAPE, explained variance, median and max error from actual vs predicted numbers.",
    "extensions": {
      "bazaar": {
        "info": {
          "input": {
            "method": "GET",
            "queryParams": {
              "actual": "3,-0.5,2,7",
              "predicted": "2.5,0,2,8",
              "predictors": 1
            },
            "type": "http"
          },
          "output": {
            "example": {
              "adjustedR2": 0.922912,
              "asOf": "2026-10-21T05:49:44.852Z",
              "biasNote": "meanError is mean(predicted - actual); positive means over-prediction",
              "degraded": false,
              "disclaimer": "Screening signal computed from the named public source. Not financial, legal or investment advice; provided as is. Verify at the source before acting.",
              "explainedVariance": 0.957173,
              "mae": 0.5,
              "mapePercent": 32.738095,
              "maxError": 1,
              "meanError": 0.25,
              "medianAbsoluteError": 0.5,
              "mse": 0.375,
              "notChecked": [
                "residual patterns, heteroscedasticity or outliers beyond max error",
                "out-of-sample validity"
              ],
              "r2": 0.948608,
              "reasons": [],
              "rmse": 0.612372,
              "sampleCount": 4,
              "smapeNote": "SMAPE = mean of 200*|a-f|/(|a|+|f|) percent (0 to 200 scale); terms with a=f=0 count as 0",
              "smapePercent": 57.878788,
              "source": "computed locally",
              "summary": "n=4: RMSE 0.612372, MAE 0.5, R2 0.948608.",
              "verdict": "STRONG_FIT"
            },
            "type": "json"
          }
        },
        "schema": {
          "$schema": "https://json-schema.org/draft/2020-12/schema",
          "properties": {
            "input": {
              "additionalProperties": false,
              "properties": {
                "method": {
                  "enum": [
                    "GET"
                  ],
                  "type": "string"
                },
                "queryParams": {
                  "properties": {
                    "actual": {
                      "description": "True values, comma-separated or JSON array, up to 10000",
                      "type": "string"
                    },
                    "predicted": {
                      "description": "Predicted values, same length as actual",
                      "type": "string"
                    },
                    "predictors": {
                      "description": "Number of model predictors p (1 to 1000) for adjusted R2; needs n > p + 1",
                      "type": "integer"
                    }
                  },
                  "required": [
                    "actual",
                    "predicted"
                  ],
                  "type": "object"
                },
                "type": {
                  "const": "http",
                  "type": "string"
                }
              },
              "required": [
                "type",
                "method"
              ],
              "type": "object"
            },
            "output": {
              "properties": {
                "example": {
                  "properties": {
                    "adjustedR2": {
                      "type": [
                        "null",
                        "number"
                      ]
                    },
                    "asOf": {
                      "type": [
                        "null",
                        "string"
                      ]
                    },
                    "biasNote": {
                      "type": [
                        "null",
                        "string"
                      ]
                    },
                    "degraded": {
                      "type": [
                        "boolean",
                        "null"
                      ]
                    },
                    "disclaimer": {
                      "type": [
                        "null",
                        "string"
                      ]
                    },
                    "explainedVariance": {
                      "type": [
                        "null",
                        "number"
                      ]
                    },
                    "mae": {
                      "type": [
                        "null",
                        "number"
                      ]
                    },
                    "mapePercent": {
                      "type": [
                        "null",
                        "number"
                      ]
                    },
                    "maxError": {
                      "type": [
                        "null",
                        "number"
                      ]
                    },
                    "meanError": {
                      "type": [
                        "null",
                        "number"
                      ]
                    },
                    "medianAbsoluteError": {
                      "type": [
                        "null",
                        "number"
                      ]
                    },
                    "mse": {
                      "type": [
                        "null",
                        "number"
                      ]
                    },
                    "notChecked": {
                      "items": {
                        "type": "string"
                      },
                      "type": [
                        "array",
                        "null"
                      ]
                    },
                    "r2": {
                      "type": [
                        "null",
                        "number"
                      ]
                    },
                    "reasons": {
                      "type": [
                        "array",
                        "null"
                      ]
                    },
                    "rmse": {
                      "type": [
                        "null",
                        "number"
                      ]
                    },
                    "sampleCount": {
                      "type": [
                        "null",
                        "number"
                      ]
                    },
                    "smapeNote": {
                      "type": [
                        "null",
                        "string"
                      ]
                    },
                    "smapePercent": {
                      "type": [
                        "null",
                        "number"
                      ]
                    },
                    "source": {
                      "type": [
                        "null",
                        "string"
                      ]
                    },
                    "summary": {
                      "type": [
                        "null",
                        "string"
                      ]
                    },
                    "verdict": {
                      "type": [
                        "null",
                        "string"
                      ]
                    }
                  },
                  "type": "object"
                },
                "type": {
                  "type": "string"
                }
              },
              "required": [
                "type"
              ],
              "type": "object"
            }
          },
          "required": [
            "input"
          ],
          "type": "object"
        }
      }
    },
    "lastUpdated": "2026-11-01T23:38:55.7Z",
    "quality": {
      "l30DaysTotalCalls": 1,
      "l30DaysUniquePayers": 1,
      "lastCalledAt": "2026-11-01T23:38:55.517Z"
    },
    "resource": "https://ml-metrics.x402tookit.com/regression-metrics",
    "serviceName": "Machine Learning Metrics",
    "tags": [
      "machine-learning",
      "regression",
      "rmse",
      "r2"
    ],
    "type": "http",
    "x402Version": 2
  },
  "source": "x402_bazaar",
  "summary": "MAE, MSE, RMSE, R2, adjusted R2, MAPE, SMAPE, explained variance, median and max error from actual vs predicted numbers."
}

What the leaf hashes

{"body":"ea1b9e651142af0286e0e96b71f569a052307a1a441b4a4518410b9cb47f2bc3","id":2201561,"kind":"listing","method":"sync.x402_bazaar/1","observed_us":1793646806687380,"prev":null,"subject":"x402_bazaar:https://ml-metrics.x402tookit.com/regression-metrics","subject_kind":"source_record"}

Proof

Fold these into the leaf in order, hashing each sorted pair with keccak256, to reach the root of 2026-11-02 (444186 rows).

1. 0xfb09ea9d1cf98f8cac718daf98d78602d0c7fe9373caffffc94bfe93b10b03b9
2. 0x96bd1b0e622a12bac1e2d5609a2403a1f313860621b0557ec1daf0cb073f8785
3. 0x68b5ab8f7f0046bdc3fc6fceafc4fe191b44348c6295fe88ba8435678d9483a1
4. 0xb3ca0f5b7b8270ad45ece442c7278865e3bb4981f135d6e920309b3ca3b1eccf
5. 0x76d959635bea992afceb3b2fd575fa46d935ac5289cae6c43b75ab953fb4943b
6. 0x4da102d41cf5de6df5b09078863ae1557b9a9bd8125e06f658570f5410bd60f3
7. 0x3debeb55166210fe17672afc187ffac82b371f814014a5fb7a914f7eaaf2e468
8. 0x1be82827a01531c9bb790e1ef74b9d2173967569b18b700e9ba455a889540fa5
9. 0x7ca4f1082de3b0d67db20d2a141784c31f8b7eb749cd56ca2946bd5ffa9734cc
10. 0x1517e81530e0e7dc7e085894d1889a592afb3adfa5f4549da827bc9fbdc8194a
11. 0xd55f132e15e44ebb51cd9ad5b6e9cc58bf4ce8c05e82e58fb4685afe64c0f45b
12. 0x1fdc5cec209319ec27c935f06e49dfee099419dfa8632c827c7fdc61fcd2e0c3
13. 0x53d9a703c9e9f252a5170e08d05e1b0117ac9e5b187b8d11c1fc275324818140
14. 0x59ed3c823c7507ae1b2993d19eda543383739dde961b25c4e0927023fff6be12
15. 0x4068a4306db47ea0eae5f76e5137753caa3dbb132dca6a61a4d6c1838a52700f
16. 0x25127db2e775737b2874f6a159f7c1bf984317eea6482e94589c3ef4c5ccab32
17. 0xec5d643575d83c9e07e65deeef71943b53cbf3007e7e2b9a6ef414081509b0cc
18. 0x252cce55f1a3d5391c16f82d7f62494429a5f69b03486d4cfcfb7b2c96d6c884

Day root

0x78fecaabbe319e56f5c4b80fc02e2052e198ad24781da8832a475ff65f2002d1

Chained

0xdc35957db5d1371ca382b9152878ffece28ec7c5cb4f98fd71ddb367f8b999b2

Published

On Arc Testnet, block 70432815: 0x56b814612eb2e3e544153df3e91e1f7199106d1e430c7d8c6b653feeb9ebe9af