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Evidence row 120655

Observed , by baseline/1.

Kind
listing
About
source_record x402_bazaar:https://saylorinnovations.com/api/stats/regression
Recorded
Previous row
None: the first of its kind about this subject
Body SHA-256
57ecb13b45c799639533e61d197cf3c2247eeddc6aae288fe7c931f1fc08b9a9
Leaf
0x87cee640f4cb3ceaf9d5069fcab736f85f08db5f9a26c58250aef5138686486a

What was observed

{
  "endpoints": [
    [
      "x402",
      "https://saylorinnovations.com/api/stats/regression"
    ]
  ],
  "name": "Saylor Innovations Data Desk",
  "owner_address": "0xa2a8df0f7caabea4e120a2568118f141569fc8aa",
  "raw": {
    "accepts": [
      {
        "amount": "10000",
        "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
        "extra": {
          "assetTransferMethod": "eip3009",
          "facilitatorOnly": true,
          "memo": "saylor:datadesk:linear-regressio",
          "name": "USD Coin",
          "note": "Base settles through an x402 facilitator. Send payload.signature and payload.authorization (EIP-3009); there is no self-submitted path on this network.",
          "version": "2"
        },
        "maxTimeoutSeconds": 120,
        "network": "eip155:8453",
        "payTo": "0xA2A8dF0f7CaaBEa4e120a2568118f141569fc8aa",
        "scheme": "exact"
      },
      {
        "amount": "10000",
        "asset": "0x3c499c542cEF5E3811e1192ce70d8cC03d5c3359",
        "extra": {
          "assetTransferMethod": "eip3009",
          "facilitatorOnly": true,
          "memo": "saylor:datadesk:linear-regressio",
          "name": "USD Coin",
          "note": "Polygon settles through an x402 facilitator. Send payload.signature and payload.authorization (EIP-3009); there is no self-submitted path on this network.",
          "version": "2"
        },
        "maxTimeoutSeconds": 120,
        "network": "eip155:137",
        "payTo": "0xA2A8dF0f7CaaBEa4e120a2568118f141569fc8aa",
        "scheme": "exact"
      },
      {
        "amount": "10000",
        "asset": "0xaf88d065e77c8cC2239327C5EDb3A432268e5831",
        "extra": {
          "assetTransferMethod": "eip3009",
          "facilitatorOnly": true,
          "memo": "saylor:datadesk:linear-regressio",
          "name": "USD Coin",
          "note": "Arbitrum settles through an x402 facilitator. Send payload.signature and payload.authorization (EIP-3009); there is no self-submitted path on this network.",
          "version": "2"
        },
        "maxTimeoutSeconds": 120,
        "network": "eip155:42161",
        "payTo": "0xA2A8dF0f7CaaBEa4e120a2568118f141569fc8aa",
        "scheme": "exact"
      },
      {
        "amount": "10000",
        "asset": "EPjFWdd5AufqSSqeM2qN1xzybapC8G4wEGGkZwyTDt1v",
        "extra": {
          "feePayer": "BENrLoUbndxoNMUS5JXApGMtNykLjFXXixMtpDwDR9SP",
          "memo": "saylor:datadesk:linear-regressio",
          "reference": "EaHgGbT6QuxqqNjCgjXAuon6TBTgfeyFAFYXtZ61EzcD",
          "session": "eyJhcnRpY2xlSWQiOiJkYXRhZGVzazpsaW5lYXItcmVncmVzc2lvbiIsInJlZmVyZW5jZSI6IkVhSGdHYlQ2UXV4cXFOakNnalhBdW9uNlRCVGdmZXlGQUZZWHRaNjFFemNEIiwicmVjaXBpZW50IjoiN0xTamZySmY4Zk5zQjhWQTl1N04zV0VuMjVzbVFMcG9iM1N2eVV2WGFjeTciLCJtaW50IjoiRVBqRldkZDVBdWZxU1NxZU0ycU4xeHp5YmFwQzhHNHdFR0drWnd5VER0MXYiLCJtaW5BbW91bnQiOjEwMDAwLCJleHAiOjE3OTIzOTAwNjI5Mzl9.Ki_OC7GXLPDX_b3qKvtDZ3FWeqYNDaG9Ervv1DG-I7o"
        },
        "maxTimeoutSeconds": 120,
        "network": "solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp",
        "payTo": "7LSjfrJf8fNsB8VA9u7N3WEn25smQLpob3SvyUvXacy7",
        "scheme": "exact"
      },
      {
        "amount": "10000",
        "asset": "Es9vMFrzaCERmJfrF4H2FYD4KCoNkY11McCe8BenwNYB",
        "extra": {
          "feePayer": "BENrLoUbndxoNMUS5JXApGMtNykLjFXXixMtpDwDR9SP",
          "memo": "saylor:datadesk:linear-regressio",
          "reference": "69u8XKyTD34G2uQMdvLEmyPpHsVuGuChNJbrzf172wwc",
          "session": "eyJhcnRpY2xlSWQiOiJkYXRhZGVzazpsaW5lYXItcmVncmVzc2lvbiIsInJlZmVyZW5jZSI6IjY5dThYS3lURDM0RzJ1UU1kdkxFbXlQcEhzVnVHdUNoTkpicnpmMTcyd3djIiwicmVjaXBpZW50IjoiN0xTamZySmY4Zk5zQjhWQTl1N04zV0VuMjVzbVFMcG9iM1N2eVV2WGFjeTciLCJtaW50IjoiRXM5dk1GcnphQ0VSbUpmckY0SDJGWUQ0S0NvTmtZMTFNY0NlOEJlbndOWUIiLCJtaW5BbW91bnQiOjEwMDAwLCJleHAiOjE3OTIzOTAwNjI5Mzl9.doyzpInPaw1lqp--K-BMbYu-XArFDpxV293P9JH61ww"
        },
        "maxTimeoutSeconds": 120,
        "network": "solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp",
        "payTo": "7LSjfrJf8fNsB8VA9u7N3WEn25smQLpob3SvyUvXacy7",
        "scheme": "exact"
      },
      {
        "amount": "91794",
        "asset": "So11111111111111111111111111111111111111112",
        "extra": {
          "memo": "saylor:datadesk:linear-regressio",
          "native": true,
          "note": "Native SOL: send lamports with a system transfer, not an SPL transfer. Price is quoted live and this quote expires in 120s.",
          "quotedLamports": "94634",
          "reference": "tAehWwyJSZ5YscinfaJh3bWxpxustbLMELcdZhS59DB",
          "session": "eyJhcnRpY2xlSWQiOiJkYXRhZGVzazpsaW5lYXItcmVncmVzc2lvbiIsInJlZmVyZW5jZSI6InRBZWhXd3lKU1o1WXNjaW5mYUpoM2JXeHB4dXN0YkxNRUxjZFpoUzU5REIiLCJyZWNpcGllbnQiOiI3TFNqZnJKZjhmTnNCOFZBOXU3TjNXRW4yNXNtUUxwb2IzU3Z5VXZYYWN5NyIsIm1pbnQiOm51bGwsIm1pbkFtb3VudCI6OTE3OTQsImV4cCI6MTc5MjM5MDA2MjkzOX0.DVbtUHofnj4QzwcaMWtmxcZpKtQ9P5grhhF6Zc1dtCc",
          "solUsdPrice": 105.67
        },
        "maxTimeoutSeconds": 120,
        "network": "solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp",
        "payTo": "7LSjfrJf8fNsB8VA9u7N3WEn25smQLpob3SvyUvXacy7",
        "scheme": "exact"
      }
    ],
    "description": "Linear regression on two lists - slope, intercept, r, r-squared, standard errors, p-value, 95% slope interval, equation and a prediction for a new x",
    "extensions": {
      "bazaar": {
        "info": {
          "input": {
            "method": "GET",
            "queryParams": {
              "predict_x": "6",
              "x": "1,2,3,4,5",
              "y": "2,4,5,4,5"
            },
            "type": "http"
          },
          "output": {
            "example": {
              "equation": "y = 0.6 * x + 2.2",
              "intercept": 2.2,
              "intercept_std_error": 0.938083152,
              "interpretation": "moderate linear relationship",
              "n": 5,
              "prediction": {
                "extrapolated": true,
                "x": 6,
                "y": 5.8
              },
              "r": 0.77459667,
              "r_squared": 0.6,
              "residual_std_error": 0.894427191,
              "slope": 0.6,
              "slope_95_ci": [
                -0.3001317453,
                1.500131745
              ],
              "slope_p_value": 0.124027,
              "slope_std_error": 0.2828427125,
              "slope_t": 2.1213203,
              "source": "Ordinary least squares computed on the supplied points"
            },
            "type": "json"
          }
        },
        "schema": {
          "$schema": "https://json-schema.org/draft/2020-12/schema",
          "properties": {
            "input": {
              "additionalProperties": false,
              "properties": {
                "method": {
                  "enum": [
                    "GET"
                  ],
                  "type": "string"
                },
                "queryParams": {
                  "properties": {
                    "predict_x": {
                      "description": "optional x to predict y for",
                      "type": "string"
                    },
                    "x": {
                      "description": "Comma-separated x values, 3-500",
                      "type": "string"
                    },
                    "y": {
                      "description": "Comma-separated y values, same count as x",
                      "type": "string"
                    }
                  },
                  "required": [
                    "x",
                    "y"
                  ],
                  "type": "object"
                },
                "type": {
                  "const": "http",
                  "type": "string"
                }
              },
              "required": [
                "type",
                "method"
              ],
              "type": "object"
            },
            "output": {
              "properties": {
                "example": {
                  "properties": {
                    "equation": {
                      "description": "Fitted line as text",
                      "type": "string"
                    },
                    "intercept": {
                      "description": "Value of y when x is 0",
                      "type": "number"
                    },
                    "intercept_std_error": {
                      "description": "Intercept std error",
                      "type": [
                        "number",
                        "null"
                      ]
                    },
                    "interpretation": {
                      "description": "Plain-language reading of the result",
                      "type": "string"
                    },
                    "n": {
                      "description": "Number of points",
                      "type": "number"
                    },
                    "prediction": {
                      "description": "Predicted y for predict_x and whether it extrapolates beyond the data",
                      "properties": {
                        "extrapolated": {
                          "description": "True when x is outside the range of the data",
                          "type": [
                            "boolean",
                            "null"
                          ]
                        },
                        "x": {
                          "description": "The x that was predicted for",
                          "type": [
                            "number",
                            "null"
                          ]
                        },
                        "y": {
                          "description": "Predicted y",
                          "type": [
                            "number",
                            "null"
                          ]
                        }
                      },
                      "type": [
                        "object",
                        "null"
                      ]
                    },
                    "r": {
                      "description": "Pearson correlation coefficient",
                      "type": "number"
                    },
                    "r_squared": {
                      "description": "R squared",
                      "type": "number"
                    },
                    "residual_std_error": {
                      "description": "Residual std error",
                      "type": "number"
                    },
                    "slope": {
                      "description": "Change in y per unit of x",
                      "type": "number"
                    },
                    "slope_95_ci": {
                      "description": "Slope 95 ci",
                      "type": "array"
                    },
                    "slope_p_value": {
                      "description": "Slope p value",
                      "type": "number"
                    },
                    "slope_std_error": {
                      "description": "Slope std error",
                      "type": [
                        "number",
                        "null"
                      ]
                    },
                    "slope_t": {
                      "description": "Slope t",
                      "type": [
                        "number",
                        "null"
                      ]
                    },
                    "source": {
                      "description": "Data source the values come from",
                      "type": "string"
                    }
                  },
                  "required": [
                    "n",
                    "slope",
                    "intercept",
                    "r_squared"
                  ],
                  "type": "object"
                },
                "type": {
                  "const": "json",
                  "type": "string"
                }
              },
              "required": [
                "type"
              ],
              "type": "object"
            }
          },
          "required": [
            "input"
          ],
          "type": "object"
        }
      }
    },
    "iconUrl": "https://res.cloudinary.com/bdb-prod/image/upload/c_fill,ar_1:1,w_256,h_256,f_auto,q_auto/v1791811517/bazaar-icons/bc5e2b3d111ebbef.jpg",
    "lastUpdated": "2026-10-19T06:05:42.982Z",
    "quality": {
      "l30DaysTotalCalls": 2,
      "l30DaysUniquePayers": 2,
      "lastCalledAt": "2026-10-19T06:05:42.659Z"
    },
    "resource": "https://saylorinnovations.com/api/stats/regression",
    "serviceName": "Saylor Innovations Data Desk",
    "tags": [
      "linear regression from two lists",
      "line of best fit slope",
      "r squared of my data",
      "predict y from x with a trend",
      "is the trend statistically"
    ],
    "type": "http",
    "x402Version": 2
  },
  "source": "x402_bazaar",
  "summary": "Linear regression on two lists - slope, intercept, r, r-squared, standard errors, p-value, 95% slope interval, equation and a prediction for a new x"
}

What the leaf hashes

{"body":"57ecb13b45c799639533e61d197cf3c2247eeddc6aae288fe7c931f1fc08b9a9","id":120655,"kind":"listing","method":"baseline/1","observed_us":1793025618427109,"prev":null,"subject":"x402_bazaar:https://saylorinnovations.com/api/stats/regression","subject_kind":"source_record"}

Proof

Fold these into the leaf in order, hashing each sorted pair with keccak256, to reach the root of (296695 rows).

  1. 0x87cee1b79f9160c74ca982c97c8bc06c8f2475ec002182ea947afbe7d71d7637
  2. 0xe715785d661920a41f27d4d0652c1fed2a3c3f13bbfaef6841fef14f3923d12e
  3. 0xc23c84fafe0f2bd42cf8254106437b54c3d25016682f74383d95139620244390
  4. 0x26960433ba2a46a948fa2b9731848afe6a6ee0c295dfd1dcc280646ef816143a
  5. 0xbb4cf580a022f32b632eb1b41e27fb95785ac0e5c48263eaa2191199b94bff5f
  6. 0x327f089d9f6c4455187c7f123d73bafca52b5e508804f5c4f2a9950a4f3c3509
  7. 0x3f7fc65bceb16da78472e40edad8dc4d1c7d65e88bffd38228137c82695e3218
  8. 0x3e44539969b35db004be22e9312e042a24f58703edcae1cfbac08e741b28a8fb
  9. 0xbaa1ce1c5cbf1b3300a4244927f40a028bd6b41ac39500640cecb2b188c7a0dd
  10. 0x07754f5d18ae94a58145ba055e77f9866d011c666e0e742dac34d5f46dce7f76
  11. 0xab0c5c1fde083e427b8955a771d679773808751fc069bed2944e88e84fcb655e
  12. 0x099dd43573993f2a1bea674129b7ed050429a0ac76c3bfda8aaf82a3af126469
  13. 0x49d11be052a4c069b10250aaba214f566b3f2e5aaa7a98e82ccc6a71c0e801a0
  14. 0x78ac2b34737774659a6a411f4d10b8ba570d40699d9f277321c3a32ff03d1dc9
  15. 0x7eb603d37f0f22dae1ea013e391889906ffc0139ff26e25b044bee38eec8f9b2
  16. 0x2b6e23e3624a1b66e1d2298cfbce99a93ce6b13d24a58112a71802d79c5f7a76
  17. 0xd21942ae3214eff88e08ab04884fd4b11958b51af9a0741b7668e2d07a2c56c9
  18. 0x9a9024edb5069d88a324facb310a5ce8e495214bbaa968f077bede437390194f
  19. 0x9b9ce5b74b9bab5121612ef6b64920a8d453cbf311096a423eef9702747e868a
Day root
0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8
Chained
0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a
Published
On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae

How to check it · This row as JSON