addrbookFor publishers
← The evidence ledger

Evidence row 2201559

Observed , by sync.x402_bazaar/1.

Kind
listing
About
source_record x402_bazaar:https://ml-metrics.x402tookit.com/threshold-sweep
Recorded
Previous row
None: the first of its kind about this subject
Body SHA-256
e814725f847a234a28263a310b163e787dbf9e2ea5e4a33c9c40c1d1d2ece77d
Leaf
0x614e8b9156086340a8495d41f0363d2803f8a26ac9099202686a824b2960cb0d

What was observed

{
  "endpoints": [
    [
      "x402",
      "https://ml-metrics.x402tookit.com/threshold-sweep"
    ]
  ],
  "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": "Sweep every score threshold for binary labels and return the best F1, Youden J and accuracy thresholds with their metrics.",
    "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": "2026-10-21T05:49:45.382Z",
              "bestAccuracy": {
                "accuracy": 0.75,
                "f1": 0.666667,
                "fn": 1,
                "fp": 0,
                "precision": 1,
                "recall": 0.5,
                "specificity": 1,
                "threshold": 0.8,
                "tn": 2,
                "tp": 1,
                "youdenJ": 0.5
              },
              "bestF1": {
                "accuracy": 0.75,
                "f1": 0.8,
                "fn": 0,
                "fp": 1,
                "precision": 0.666667,
                "recall": 1,
                "specificity": 0.5,
                "threshold": 0.35,
                "tn": 1,
                "tp": 2,
                "youdenJ": 0.5
              },
              "bestYouden": {
                "accuracy": 0.75,
                "f1": 0.666667,
                "fn": 1,
                "fp": 0,
                "precision": 1,
                "recall": 0.5,
                "specificity": 1,
                "threshold": 0.8,
                "tn": 2,
                "tp": 1,
                "youdenJ": 0.5
              },
              "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.",
              "negatives": 2,
              "notChecked": [
                "costs of false positives versus false negatives (pick the threshold that fits them)",
                "overfitting of a threshold chosen on the same data",
                "…1 more"
              ],
              "positives": 2,
              "reasons": [
                "Ties between thresholds resolve to the higher threshold.",
                "Youden J ties at thresholds 0.8, 0.35."
              ],
              "source": "computed locally",
              "summary": "Best F1 0.8 at threshold 0.35; best Youden J 0.5 at 0.8; best accuracy 0.75 at 0.8.",
              "sweep": [
                {
                  "accuracy": 0.75,
                  "f1": 0.666667,
                  "fn": 1,
                  "fp": 0,
                  "precision": 1,
                  "recall": 0.5,
                  "specificity": 1,
                  "threshold": 0.8,
                  "tn": 2,
                  "tp": 1,
                  "youdenJ": 0.5
                },
                {
                  "accuracy": 0.5,
                  "f1": 0.5,
                  "fn": 1,
                  "fp": 1,
                  "precision": 0.5,
                  "recall": 0.5,
                  "specificity": 0.5,
                  "threshold": 0.4,
                  "tn": 1,
                  "tp": 1,
                  "youdenJ": 0
                }
              ],
              "sweepTruncated": false,
              "verdict": "USABLE_THRESHOLD",
              "youdenTiedThresholds": [
                0.8,
                0.35
              ]
            },
            "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); a sample is predicted positive when score >= threshold",
                      "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"
                      ]
                    },
                    "bestAccuracy": {
                      "properties": {
                        "accuracy": {
                          "type": [
                            "null",
                            "number"
                          ]
                        },
                        "f1": {
                          "type": [
                            "null",
                            "number"
                          ]
                        },
                        "fn": {
                          "type": [
                            "null",
                            "number"
                          ]
                        },
                        "fp": {
                          "type": [
                            "null",
                            "number"
                          ]
                        },
                        "precision": {
                          "type": [
                            "null",
                            "number"
                          ]
                        },
                        "recall": {
                          "type": [
                            "null",
                            "number"
                          ]
                        },
                        "specificity": {
                          "type": [
                            "null",
                            "number"
                          ]
                        },
                        "threshold": {
                          "type": [
                            "null",
                            "number"
                          ]
                        },
                        "tn": {
                          "type": [
                            "null",
                            "number"
                          ]
                        },
                        "tp": {
                          "type": [
                            "null",
                            "number"
                          ]
                        },
                        "youdenJ": {
                          "type": [
                            "null",
                            "number"
                          ]
                        }
                      },
                      "type": [
                        "null",
                        "object"
                      ]
                    },
                    "bestF1": {
                      "properties": {
                        "accuracy": {
                          "type": [
                            "null",
                            "number"
                          ]
                        },
                        "f1": {
                          "type": [
                            "null",
                            "number"
                          ]
                        },
                        "fn": {
                          "type": [
                            "null",
                            "number"
                          ]
                        },
                        "fp": {
                          "type": [
                            "null",
                            "number"
                          ]
                        },
                        "precision": {
                          "type": [
                            "null",
                            "number"
                          ]
                        },
                        "recall": {
                          "type": [
                            "null",
                            "number"
                          ]
                        },
                        "specificity": {
                          "type": [
                            "null",
                            "number"
                          ]
                        },
                        "threshold": {
                          "type": [
                            "null",
                            "number"
                          ]
                        },
                        "tn": {
                          "type": [
                            "null",
                            "number"
                          ]
                        },
                        "tp": {
                          "type": [
                            "null",
                            "number"
                          ]
                        },
                        "youdenJ": {
                          "type": [
                            "null",
                            "number"
                          ]
                        }
                      },
                      "type": [
                        "null",
                        "object"
                      ]
                    },
                    "bestYouden": {
                      "properties": {
                        "accuracy": {
                          "type": [
                            "null",
                            "number"
                          ]
                        },
                        "f1": {
                          "type": [
                            "null",
                            "number"
                          ]
                        },
                        "fn": {
                          "type": [
                            "null",
                            "number"
                          ]
                        },
                        "fp": {
                          "type": [
                            "null",
                            "number"
                          ]
                        },
                        "precision": {
                          "type": [
                            "null",
                            "number"
                          ]
                        },
                        "recall": {
                          "type": [
                            "null",
                            "number"
                          ]
                        },
                        "specificity": {
                          "type": [
                            "null",
                            "number"
                          ]
                        },
                        "threshold": {
                          "type": [
                            "null",
                            "number"
                          ]
                        },
                        "tn": {
                          "type": [
                            "null",
                            "number"
                          ]
                        },
                        "tp": {
                          "type": [
                            "null",
                            "number"
                          ]
                        },
                        "youdenJ": {
                          "type": [
                            "null",
                            "number"
                          ]
                        }
                      },
                      "type": [
                        "null",
                        "object"
                      ]
                    },
                    "degraded": {
                      "type": [
                        "boolean",
                        "null"
                      ]
                    },
                    "disclaimer": {
                      "type": [
                        "null",
                        "string"
                      ]
                    },
                    "negatives": {
                      "type": [
                        "null",
                        "number"
                      ]
                    },
                    "notChecked": {
                      "items": {
                        "type": "string"
                      },
                      "type": [
                        "array",
                        "null"
                      ]
                    },
                    "positives": {
                      "type": [
                        "null",
                        "number"
                      ]
                    },
                    "reasons": {
                      "items": {
                        "type": "string"
                      },
                      "type": [
                        "array",
                        "null"
                      ]
                    },
                    "source": {
                      "type": [
                        "null",
                        "string"
                      ]
                    },
                    "summary": {
                      "type": [
                        "null",
                        "string"
                      ]
                    },
                    "sweep": {
                      "items": {
                        "properties": {
                          "accuracy": {
                            "type": [
                              "null",
                              "number"
                            ]
                          },
                          "f1": {
                            "type": [
                              "null",
                              "number"
                            ]
                          },
                          "fn": {
                            "type": [
                              "null",
                              "number"
                            ]
                          },
                          "fp": {
                            "type": [
                              "null",
                              "number"
                            ]
                          },
                          "precision": {
                            "type": [
                              "null",
                              "number"
                            ]
                          },
                          "recall": {
                            "type": [
                              "null",
                              "number"
                            ]
                          },
                          "specificity": {
                            "type": [
                              "null",
                              "number"
                            ]
                          },
                          "threshold": {
                            "type": [
                              "null",
                              "number"
                            ]
                          },
                          "tn": {
                            "type": [
                              "null",
                              "number"
                            ]
                          },
                          "tp": {
                            "type": [
                              "null",
                              "number"
                            ]
                          },
                          "youdenJ": {
                            "type": [
                              "null",
                              "number"
                            ]
                          }
                        },
                        "type": "object"
                      },
                      "type": [
                        "array",
                        "null"
                      ]
                    },
                    "sweepTruncated": {
                      "type": [
                        "boolean",
                        "null"
                      ]
                    },
                    "verdict": {
                      "type": [
                        "null",
                        "string"
                      ]
                    },
                    "youdenTiedThresholds": {
                      "items": {
                        "type": "number"
                      },
                      "type": [
                        "array",
                        "null"
                      ]
                    }
                  },
                  "type": "object"
                },
                "type": {
                  "type": "string"
                }
              },
              "required": [
                "type"
              ],
              "type": "object"
            }
          },
          "required": [
            "input"
          ],
          "type": "object"
        }
      }
    },
    "lastUpdated": "2026-11-01T23:39:01.272Z",
    "quality": {
      "l30DaysTotalCalls": 1,
      "l30DaysUniquePayers": 1,
      "lastCalledAt": "2026-11-01T23:39:01.099Z"
    },
    "resource": "https://ml-metrics.x402tookit.com/threshold-sweep",
    "serviceName": "Machine Learning Metrics",
    "tags": [
      "machine-learning",
      "threshold",
      "f1",
      "youden",
      "classification"
    ],
    "type": "http",
    "x402Version": 2
  },
  "source": "x402_bazaar",
  "summary": "Sweep every score threshold for binary labels and return the best F1, Youden J and accuracy thresholds with their metrics."
}

What the leaf hashes

{"body":"e814725f847a234a28263a310b163e787dbf9e2ea5e4a33c9c40c1d1d2ece77d","id":2201559,"kind":"listing","method":"sync.x402_bazaar/1","observed_us":1793646806680034,"prev":null,"subject":"x402_bazaar:https://ml-metrics.x402tookit.com/threshold-sweep","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. 0x614e4e50e448c7249c1cfee09919086359282379acf2c18a79e528e86173f461
  2. 0xe50f16c471a75055412b750cc8606fd6a538b99504133432c008630c4fb5d364
  3. 0xf5cee52d607f112d02d958539cb88afcd06ccffcd2937f1537fc9f32ea795b62
  4. 0x0a986e517bde063b772e38c0b763a757527aeb75b971fc70d11fa822ee51cf1e
  5. 0x6c2d50181695593b1807a23c520e361ff8e7872cde6d253e8c1d8fa1eaa6d2fb
  6. 0x2523de0b50bdedc8591b783da6631c677753a79712db99f807ddbf5ac6e2a1ba
  7. 0x948e4ed45200102698988b5d0bd20216c903c2fe33b3eb3fd25bab514d868996
  8. 0x34aeb4ca6edb00495fac283c92dd8bc51421470f33d74f36e9b07394b40b148f
  9. 0x33783688e22431e14356667e956ebf8895c9b83df9bff950271fc2400e4f5415
  10. 0xf8a76aa2f5c58aa02b6d0b68ab266fe118948bb14166a4eae8ac8afe0f12063c
  11. 0x396a59d07e6c3bf718735cd3b5976e1b078deed3c26e8cb57113a853b51d400a
  12. 0x6b4875590ee8954f5315611ea1c32c35ce609ce69cc5cd56dab438a799f4f825
  13. 0xfcf5d9c790c40588489c41a23736feba4efc9e83eda3317c30f53a98ce8d1d89
  14. 0x6ae97c2bdc679e3326a739627f6c3a307d7e25e547b9bf23dbf2622fb26d858e
  15. 0x23f4763e8db2efe57fbc28dfc68f2b97b65f54a03425994e68157763af649a50
  16. 0x0e5696ae625571c52ddcd8dc09aa6c994b4ab38f2086df20d56f1f01c603e501
  17. 0xf9973981f80219d4f00fa9186b40a8144accc0c9875572fb79eaea312a21a187
  18. 0x4d205063c881c48edbbb37762a8d3bbb7444d4c42daa882f663a231893d25c35
  19. 0x365b161a4b68d750dcc4b3ecce1154a2163c87b08762079428e68f0ebb6a754e
Day root
0x78fecaabbe319e56f5c4b80fc02e2052e198ad24781da8832a475ff65f2002d1
Chained
0xdc35957db5d1371ca382b9152878ffece28ec7c5cb4f98fd71ddb367f8b999b2
Published
On Arc Testnet, block 70432815: 0x56b814612eb2e3e544153df3e91e1f7199106d1e430c7d8c6b653feeb9ebe9af

How to check it · This row as JSON