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Evidence row 2201560

Observed , by sync.x402_bazaar/1.

Kind
listing
About
source_record x402_bazaar:https://ml-metrics.x402tookit.com/roc-auc
Recorded
Previous row
None: the first of its kind about this subject
Body SHA-256
2624dc26593102c8d96df68d1dd733da36e1cb28fad1fa27c898cfd7dbf28a75
Leaf
0xd2de37f8b82ddb2d8095bb66d61d417dffc854a4f2cdc9a71d58c21ba4125993

What was observed

{
  "endpoints": [
    [
      "x402",
      "https://ml-metrics.x402tookit.com/roc-auc"
    ]
  ],
  "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": "ROC curve points and AUC from binary labels and scores via the Mann-Whitney rank-sum identity, with ties counted half.",
    "extensions": {
      "bazaar": {
        "info": {
          "input": {
            "method": "GET",
            "queryParams": {
              "labels": "0,0,1,1",
              "scores": "0.1,0.4,0.35,0.8"
            },
            "type": "http"
          },
          "output": {
            "example": {
              "asOf": "2026-10-21T05:49:45.117Z",
              "auc": 0.75,
              "aucTrapezoid": 0.75,
              "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.",
              "gini": 0.5,
              "negatives": 2,
              "notChecked": [
                "confidence interval for the AUC",
                "calibration of the scores",
                "…1 more"
              ],
              "positives": 2,
              "reasons": [
                "Bands (0.9, 0.8, 0.7) are a common rule of thumb, not a standard."
              ],
              "rocPoints": [
                {
                  "fpr": 0,
                  "threshold": null,
                  "tpr": 0
                },
                {
                  "fpr": 0,
                  "threshold": 0.8,
                  "tpr": 0.5
                }
              ],
              "rocPointsTruncated": false,
              "source": "computed locally",
              "summary": "AUC 0.75 from 2 positive and 2 negative sample(s).",
              "verdict": "FAIR_SEPARATION"
            },
            "type": "json"
          }
        },
        "schema": {
          "$schema": "https://json-schema.org/draft/2020-12/schema",
          "properties": {
            "input": {
              "additionalProperties": false,
              "properties": {
                "method": {
                  "enum": [
                    "GET"
                  ],
                  "type": "string"
                },
                "queryParams": {
                  "properties": {
                    "labels": {
                      "description": "True binary labels 0/1, comma-separated or JSON array, up to 10000 values",
                      "type": "string"
                    },
                    "scores": {
                      "description": "Model scores (higher = more positive), same length as labels",
                      "type": "string"
                    }
                  },
                  "required": [
                    "labels",
                    "scores"
                  ],
                  "type": "object"
                },
                "type": {
                  "const": "http",
                  "type": "string"
                }
              },
              "required": [
                "type",
                "method"
              ],
              "type": "object"
            },
            "output": {
              "properties": {
                "example": {
                  "properties": {
                    "asOf": {
                      "type": [
                        "null",
                        "string"
                      ]
                    },
                    "auc": {
                      "type": [
                        "null",
                        "number"
                      ]
                    },
                    "aucTrapezoid": {
                      "type": [
                        "null",
                        "number"
                      ]
                    },
                    "degraded": {
                      "type": [
                        "boolean",
                        "null"
                      ]
                    },
                    "disclaimer": {
                      "type": [
                        "null",
                        "string"
                      ]
                    },
                    "gini": {
                      "type": [
                        "null",
                        "number"
                      ]
                    },
                    "negatives": {
                      "type": [
                        "null",
                        "number"
                      ]
                    },
                    "notChecked": {
                      "items": {
                        "type": "string"
                      },
                      "type": [
                        "array",
                        "null"
                      ]
                    },
                    "positives": {
                      "type": [
                        "null",
                        "number"
                      ]
                    },
                    "reasons": {
                      "items": {
                        "type": "string"
                      },
                      "type": [
                        "array",
                        "null"
                      ]
                    },
                    "rocPoints": {
                      "items": {
                        "properties": {
                          "fpr": {
                            "type": [
                              "null",
                              "number"
                            ]
                          },
                          "threshold": {
                            "type": [
                              "null",
                              "number"
                            ]
                          },
                          "tpr": {
                            "type": [
                              "null",
                              "number"
                            ]
                          }
                        },
                        "type": "object"
                      },
                      "type": [
                        "array",
                        "null"
                      ]
                    },
                    "rocPointsTruncated": {
                      "type": [
                        "boolean",
                        "null"
                      ]
                    },
                    "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": "2026-11-01T23:38:58.898Z",
    "quality": {
      "l30DaysTotalCalls": 1,
      "l30DaysUniquePayers": 1,
      "lastCalledAt": "2026-11-01T23:38:58.75Z"
    },
    "resource": "https://ml-metrics.x402tookit.com/roc-auc",
    "serviceName": "Machine Learning Metrics",
    "tags": [
      "machine-learning",
      "roc",
      "auc",
      "classification"
    ],
    "type": "http",
    "x402Version": 2
  },
  "source": "x402_bazaar",
  "summary": "ROC curve points and AUC from binary labels and scores via the Mann-Whitney rank-sum identity, with ties counted half."
}

What the leaf hashes

{"body":"2624dc26593102c8d96df68d1dd733da36e1cb28fad1fa27c898cfd7dbf28a75","id":2201560,"kind":"listing","method":"sync.x402_bazaar/1","observed_us":1793646806684047,"prev":null,"subject":"x402_bazaar:https://ml-metrics.x402tookit.com/roc-auc","subject_kind":"source_record"}

Proof

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

  1. 0xd2de4551318307bbdf548945f010956db76108dc5eaa92947157572acfe1bad0
  2. 0x79abd8a799a6424dc322c4f85d722e739c5bbd20bf810a2dd3e8941183c9f6ee
  3. 0x012d77404fad728cb67544618adbea4d67e6d8f33344dc1ce35e59657726e45b
  4. 0x59dd91e3bcdfd19b19254aa2a07c8ca4d06f94231a52096c5c8f918da1293abf
  5. 0xa776e8226068c3b753d3759d7d183ada7fc3290f723da18209948e2b4d370689
  6. 0xfbcebf9bc1655de65211b55a6331970f4a1a96de0f2af8a4c865ef657bd03e91
  7. 0xc2434989a73ad8374bf40b6b407cb6dff01a8849cd57147df3f789e97f6326df
  8. 0x948c59b4ef20e9e24d02b416c58ac80c7187feec977089c10eddc52f66ce8741
  9. 0x16d112cf08f23347984c796ff224ab7c1a06c5a04f86c804c2d4d5907f523031
  10. 0x783809c3d68c39f999ed33e27f2e756b577eecc499be3cd0e743035ca1386f8f
  11. 0xe2dbc974d9b12796dffe1a22ce6c9cf9b5f24a00a6f898b1bd707086afabbf8d
  12. 0x8f7ec337f2782ee71c5fcf875ded67ab29b3a792b4ec497a9bd69388793bc4bb
  13. 0x0ee251e21135d18ee3004d16c3618e1f970e8952654b422f2554f8aa0ae09b4f
  14. 0x0a363925e7ecbf308dcd4c5e94385984a43aafeb977e419f632e8dc2019e0553
  15. 0xa9134f4ed9cec34e13ba243b6a51db73753dbbb3b48c63bd82b22694813d2b02
  16. 0x7ddefa7d79e7640c3fed21ee4472689415182c41a0258ab04a81d60495f4c40a
  17. 0xdb8bd933619a267f9790faac9839143d202be46af284371cc369cdf683f897ba
  18. 0x98cbbf2c68ab4c0b4db782aeb88bea1f30b02178cf8b5d3d24a931d19492ea6d
  19. 0x252cce55f1a3d5391c16f82d7f62494429a5f69b03486d4cfcfb7b2c96d6c884
Day root
0x78fecaabbe319e56f5c4b80fc02e2052e198ad24781da8832a475ff65f2002d1
Chained
0xdc35957db5d1371ca382b9152878ffece28ec7c5cb4f98fd71ddb367f8b999b2
Published
On Arc Testnet, block 70432815: 0x56b814612eb2e3e544153df3e91e1f7199106d1e430c7d8c6b653feeb9ebe9af

How to check it · This row as JSON