Evidence row 2201562

What was observed

{
  "endpoints": [
    [
      "x402",
      "https://ml-metrics.x402tookit.com/precision-recall"
    ]
  ],
  "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": "Precision-recall curve points and average precision (step-wise sum) from binary labels and scores, with the baseline.",
    "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": "2026-10-21T05:49:44.600Z",
              "averagePrecision": 0.833333,
              "baseline": 0.5,
              "curve": [
                {
                  "precision": 1,
                  "recall": 0.5,
                  "threshold": 0.8
                },
                {
                  "precision": 0.5,
                  "recall": 0.5,
                  "threshold": 0.4
                }
              ],
              "curveTruncated": false,
              "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": [
                "interpolated precision (this is the step-wise definition)",
                "confidence intervals",
                "…1 more"
              ],
              "positives": 2,
              "reasons": [
                "Average precision is the sum over thresholds of (recall step) times precision, as in scikit-learn; no interpolation."
              ],
              "source": "computed locally",
              "summary": "Average precision 0.833333 against a no-skill baseline of 0.5 (2 positive of 4).",
              "verdict": "BETTER_THAN_BASELINE"
            },
            "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"
                      ]
                    },
                    "averagePrecision": {
                      "type": [
                        "null",
                        "number"
                      ]
                    },
                    "baseline": {
                      "type": [
                        "null",
                        "number"
                      ]
                    },
                    "curve": {
                      "items": {
                        "properties": {
                          "precision": {
                            "type": [
                              "null",
                              "number"
                            ]
                          },
                          "recall": {
                            "type": [
                              "null",
                              "number"
                            ]
                          },
                          "threshold": {
                            "type": [
                              "null",
                              "number"
                            ]
                          }
                        },
                        "type": "object"
                      },
                      "type": [
                        "array",
                        "null"
                      ]
                    },
                    "curveTruncated": {
                      "type": [
                        "boolean",
                        "null"
                      ]
                    },
                    "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"
                      ]
                    },
                    "verdict": {
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                        "string"
                      ]
                    }
                  },
                  "type": "object"
                },
                "type": {
                  "type": "string"
                }
              },
              "required": [
                "type"
              ],
              "type": "object"
            }
          },
          "required": [
            "input"
          ],
          "type": "object"
        }
      }
    },
    "lastUpdated": "2026-11-01T23:38:52.013Z",
    "quality": {
      "l30DaysTotalCalls": 1,
      "l30DaysUniquePayers": 1,
      "lastCalledAt": "2026-11-01T23:38:51.813Z"
    },
    "resource": "https://ml-metrics.x402tookit.com/precision-recall",
    "serviceName": "Machine Learning Metrics",
    "tags": [
      "machine-learning",
      "precision-recall",
      "average-precision",
      "classification"
    ],
    "type": "http",
    "x402Version": 2
  },
  "source": "x402_bazaar",
  "summary": "Precision-recall curve points and average precision (step-wise sum) from binary labels and scores, with the baseline."
}

What the leaf hashes

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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. 0x742b6334b3e55e30381a5095a0f20c0fa0199d79438a528c433d86cb6f81251b
2. 0xf0fdd3f8ba7786d3ef51b2b664333ede475c8f1e09aed3702a90d3620cded068
3. 0x7228be4d457aeb508d98e447288f0a06a023236f21f5c9a9c0ce45815a9e196c
4. 0x9b7fed325fb345cce095ab70fe885e1fa2bb6bd7e1783e1184c7c72de5a46406
5. 0x10ec018f94b1c48ea6e22f3d24c29a0453fe9e6a7829c5833eeb1c65f7d9c9ba
6. 0xb91218e2c418d5b10641d9b75cfa9ebd1c9d9291f2f003df0131e42c3ec9a648
7. 0xdfeec301892da3abbdef23c9f7c21a3914123c975081041dcd0d170a4bf471e1
8. 0xcd233b2423a4102985bcd982f5126d735ab9f26c0ecbf301640897f1d3319520
9. 0xa0bce0505a897fdc85a127d49ce87d0fd4190abb8b97b26716db7ca20f91f8ac
10. 0xb32a57dd605eb104cb587004605cef0bde91df3f56e24b16e92340031a3826f1
11. 0xeefad0cd63342943df6f1a03dfa536e8cd99c9f1b646aaa4d18eb2b82f4e6a8c
12. 0x5dc8b7bdefecaffd83e245106223f07663bf6e8920fbf34d8c4c149db6fd1109
13. 0xc661008e4484d030079bed4f257f712dbf632593873d45182aa879bd19ae8590
14. 0x05ad6b5d39c05b20c421cfd08a369494609a679562a35de106ddfc5164e8f853
15. 0x60dd7fd8117cbf3b80707f722623736c8c2b5b56277e8e78c9f81ef2dab8deab
16. 0x3b89dd05634a82075204d3c671f613081ddfd9df739c64c0a8f39081bdfa32c7
17. 0x1805ef693fbdb2c23fcb61616f830408ca89bec1dc5b68ee47a770ffc0b9760a
18. 0x4d205063c881c48edbbb37762a8d3bbb7444d4c42daa882f663a231893d25c35
19. 0x365b161a4b68d750dcc4b3ecce1154a2163c87b08762079428e68f0ebb6a754e

Day root

0x78fecaabbe319e56f5c4b80fc02e2052e198ad24781da8832a475ff65f2002d1

Chained

0xdc35957db5d1371ca382b9152878ffece28ec7c5cb4f98fd71ddb367f8b999b2

Published

On Arc Testnet, block 70432815: 0x56b814612eb2e3e544153df3e91e1f7199106d1e430c7d8c6b653feeb9ebe9af