Evidence row 2201563

What was observed

{
  "endpoints": [
    [
      "x402",
      "https://ml-metrics.x402tookit.com/log-loss"
    ]
  ],
  "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": "Binary or multiclass log loss (cross entropy) with epsilon clipping, plus the no-skill baseline and worst samples.",
    "extensions": {
      "bazaar": {
        "info": {
          "input": {
            "method": "GET",
            "queryParams": {
              "labels": "1,0",
              "probs": "0.9,0.2"
            },
            "type": "http"
          },
          "output": {
            "example": {
              "asOf": "2026-10-21T05:49:44.348Z",
              "classCount": 2,
              "clippedValues": 0,
              "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.",
              "epsilon": 1e-15,
              "logLoss": 0.164252,
              "mode": "binary",
              "notChecked": [
                "whether probabilities are calibrated (use /calibration)",
                "rows that do not sum to 1 are not renormalised"
              ],
              "reasons": [],
              "sampleCount": 2,
              "source": "computed locally",
              "summary": "Binary log loss 0.164252 over 2 sample(s); a uniform guess scores 0.693147.",
              "uniformBaseline": 0.693147,
              "verdict": "WELL_BELOW_BASELINE",
              "worstSamples": [
                {
                  "index": 1,
                  "loss": 0.223144
                },
                {
                  "index": 0,
                  "loss": 0.105361
                }
              ]
            },
            "type": "json"
          }
        },
        "schema": {
          "$schema": "https://json-schema.org/draft/2020-12/schema",
          "properties": {
            "input": {
              "additionalProperties": false,
              "properties": {
                "method": {
                  "enum": [
                    "GET"
                  ],
                  "type": "string"
                },
                "queryParams": {
                  "properties": {
                    "classes": {
                      "description": "Multiclass only: class names in the column order of probs, if labels are names",
                      "type": "string"
                    },
                    "eps": {
                      "description": "Clipping epsilon, default 1e-15, between 1e-300 and 0.5",
                      "type": "string"
                    },
                    "labels": {
                      "description": "Binary: 0/1 labels. Multiclass: class index (0-based) or class name per sample; up to 10000 values",
                      "type": "string"
                    },
                    "probs": {
                      "description": "Binary: P(label=1) per sample, comma list. Multiclass: JSON array of per-sample probability rows",
                      "type": "string"
                    }
                  },
                  "required": [
                    "labels",
                    "probs"
                  ],
                  "type": "object"
                },
                "type": {
                  "const": "http",
                  "type": "string"
                }
              },
              "required": [
                "type",
                "method"
              ],
              "type": "object"
            },
            "output": {
              "properties": {
                "example": {
                  "properties": {
                    "asOf": {
                      "type": [
                        "null",
                        "string"
                      ]
                    },
                    "classCount": {
                      "type": [
                        "null",
                        "number"
                      ]
                    },
                    "clippedValues": {
                      "type": [
                        "null",
                        "number"
                      ]
                    },
                    "degraded": {
                      "type": [
                        "boolean",
                        "null"
                      ]
                    },
                    "disclaimer": {
                      "type": [
                        "null",
                        "string"
                      ]
                    },
                    "epsilon": {
                      "type": [
                        "null",
                        "number"
                      ]
                    },
                    "logLoss": {
                      "type": [
                        "null",
                        "number"
                      ]
                    },
                    "mode": {
                      "type": [
                        "null",
                        "string"
                      ]
                    },
                    "notChecked": {
                      "items": {
                        "type": "string"
                      },
                      "type": [
                        "array",
                        "null"
                      ]
                    },
                    "reasons": {
                      "type": [
                        "array",
                        "null"
                      ]
                    },
                    "sampleCount": {
                      "type": [
                        "null",
                        "number"
                      ]
                    },
                    "source": {
                      "type": [
                        "null",
                        "string"
                      ]
                    },
                    "summary": {
                      "type": [
                        "null",
                        "string"
                      ]
                    },
                    "uniformBaseline": {
                      "type": [
                        "null",
                        "number"
                      ]
                    },
                    "verdict": {
                      "type": [
                        "null",
                        "string"
                      ]
                    },
                    "worstSamples": {
                      "items": {
                        "properties": {
                          "index": {
                            "type": [
                              "null",
                              "number"
                            ]
                          },
                          "loss": {
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                              "null",
                              "number"
                            ]
                          }
                        },
                        "type": "object"
                      },
                      "type": [
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                      ]
                    }
                  },
                  "type": "object"
                },
                "type": {
                  "type": "string"
                }
              },
              "required": [
                "type"
              ],
              "type": "object"
            }
          },
          "required": [
            "input"
          ],
          "type": "object"
        }
      }
    },
    "lastUpdated": "2026-11-01T23:38:49.446Z",
    "quality": {
      "l30DaysTotalCalls": 1,
      "l30DaysUniquePayers": 1,
      "lastCalledAt": "2026-11-01T23:38:49.166Z"
    },
    "resource": "https://ml-metrics.x402tookit.com/log-loss",
    "serviceName": "Machine Learning Metrics",
    "tags": [
      "machine-learning",
      "log-loss",
      "cross-entropy",
      "classification"
    ],
    "type": "http",
    "x402Version": 2
  },
  "source": "x402_bazaar",
  "summary": "Binary or multiclass log loss (cross entropy) with epsilon clipping, plus the no-skill baseline and worst samples."
}

What the leaf hashes

{"body":"a69452b60a910a86f479f0f319708135d5928bda880b22a77803c43747787037","id":2201563,"kind":"listing","method":"sync.x402_bazaar/1","observed_us":1793646806694027,"prev":null,"subject":"x402_bazaar:https://ml-metrics.x402tookit.com/log-loss","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. 0x32c39fd07e72f36eab98abc79d0d7d0a6189b1b22e473a37219f146b2679b628
2. 0x43200b0e8a267a808ab027013829cbf0d92e4240cb7969671a9e4d3b643df681
3. 0xce52333a08cad01ca76d249c7413754e151821b75a251a7ed7d6e6864c0d1552
4. 0x0c0c4bea4710f9a15d60b6053df27fc34e4ed64e17655985d25eb149f0402804
5. 0xac9e7452a70b1637dd8ade9d1fb9f7ece968a1975b376cfa3217dd882938179d
6. 0xf347d357f709674faf8894623c75b9a7f817f144f94b73f0c1836b2bcbbf4cee
7. 0xd073d8ca2e920c4fed6ee957e5f0f43341fd042ac18b3bb35847e5052edd7103
8. 0x9ea95a53df1c25faa0f414a2a010a99bd7e27ac3bcf0c036a373108560ef7c05
9. 0xc6fb2963eea3fc468bce4df956fa9e8399915aba74f5c12c760c0fdf613c4178
10. 0x424b41a794092c389278e4c6328fdfc4260aed207afcc5e669092a6fdea9086d
11. 0x63d9f2abc84685b720039ce7c24fc7e3bafd26d6663c9bdf02ba7428cd48a684
12. 0xfbb11fbb16df1387fcf6dad1ff255bb69acc83242a947f9efddb3836b0f91e4b
13. 0xdcc1d9c1067e77e4536008fca60e4d4987a5b540ec77923110dc668972c55745
14. 0x74cae95d275254a9c747b603bd40b5086c5725fd3e904782e6447e4647e8b049
15. 0x464ce6fe060d0a6c4e810b71501e55084086148f7daf393caa14462b1a777022
16. 0xd42916b5c6441e9c8d91ff91715af1489cb83dee26d47e7da107caa4d2a68b65
17. 0xa20b9be86af7d690e040c9060a373b2fc5498edf3432f43c26f74fa2febc1e9a
18. 0x050f2978b537f7afb21ee1551577cdf146d1c56f4df12d24315ae5e69366b0a4
19. 0x365b161a4b68d750dcc4b3ecce1154a2163c87b08762079428e68f0ebb6a754e

Day root

0x78fecaabbe319e56f5c4b80fc02e2052e198ad24781da8832a475ff65f2002d1

Chained

0xdc35957db5d1371ca382b9152878ffece28ec7c5cb4f98fd71ddb367f8b999b2

Published

On Arc Testnet, block 70432815: 0x56b814612eb2e3e544153df3e91e1f7199106d1e430c7d8c6b653feeb9ebe9af