Evidence row 3959957

What was observed

{
  "endpoints": [
    [
      "x402",
      "https://stats.openverbs.com/v1/correlation"
    ],
    [
      "x402",
      "https://stats.openverbs.com/v1/percentile"
    ],
    [
      "x402",
      "https://stats.openverbs.com/v1/regression"
    ],
    [
      "x402",
      "https://stats.openverbs.com/v1/summary"
    ]
  ],
  "name": "stats.openverbs.com",
  "owner_address": null,
  "raw": {
    "caip2_networks": [
      "eip155:8453"
    ],
    "category": "",
    "description": "",
    "domain": "stats.openverbs.com",
    "endpoints": [
      {
        "description": "Pearson correlation coefficient and covariance of two equal-length paired series. Rejected as a clean 400 if the lengths differ or either series has zero variance (correlation undefined).",
        "method": "POST",
        "parameters": [
          {
            "default": null,
            "description": "",
            "enumValues": [],
            "example": [],
            "group": "body",
            "name": "x",
            "required": false,
            "type": "array"
          },
          {
            "default": null,
            "description": "",
            "enumValues": [],
            "example": [],
            "group": "body",
            "name": "y",
            "required": false,
            "type": "array"
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        ],
        "pricing": {
          "amount": "0.004",
          "currency": "USDC",
          "maxAmount": "",
          "minAmount": "",
          "network": "eip155:8453",
          "scheme": "exact"
        },
        "providerName": "",
        "quality": null,
        "serviceName": "Pearson correlation",
        "tags": [
          "pearson correlation",
          "correlation coefficient",
          "calculate covariance",
          "paired series correlation",
          "linear relationship stats"
        ],
        "url": "https://stats.openverbs.com/v1/correlation"
      },
      {
        "description": "Evaluate one or more percentiles (0–100) of a numeric sample using linear interpolation between order statistics (the R-7 / Excel PERCENTILE.INC method). 50 is the median, 25/75 the quartiles.",
        "method": "POST",
        "parameters": [
          {
            "default": null,
            "description": "",
            "enumValues": [],
            "example": [],
            "group": "body",
            "name": "data",
            "required": false,
            "type": "array"
          },
          {
            "default": null,
            "description": "",
            "enumValues": [],
            "example": [],
            "group": "body",
            "name": "percentiles",
            "required": false,
            "type": "array"
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        ],
        "pricing": {
          "amount": "0.004",
          "currency": "USDC",
          "maxAmount": "",
          "minAmount": "",
          "network": "eip155:8453",
          "scheme": "exact"
        },
        "providerName": "",
        "quality": null,
        "serviceName": "Percentiles / quantiles",
        "tags": [
          "percentile calculator",
          "quantile calculator",
          "calculate percentiles",
          "r7 percentile",
          "excel percentile inc"
        ],
        "url": "https://stats.openverbs.com/v1/percentile"
      },
      {
        "description": "Ordinary-least-squares linear regression of y on x: slope, intercept, correlation r and coefficient of determination r². Pass predictAt to also evaluate the fitted line at a given x. Rejected as a clean 400 if lengths differ or x has zero variance.",
        "method": "POST",
        "parameters": [
          {
            "default": null,
            "description": "",
            "enumValues": [],
            "example": 4,
            "group": "body",
            "name": "predictAt",
            "required": false,
            "type": "number"
          },
          {
            "default": null,
            "description": "",
            "enumValues": [],
            "example": [],
            "group": "body",
            "name": "x",
            "required": false,
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          },
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        ],
        "pricing": {
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          "currency": "USDC",
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          "minAmount": "",
          "network": "eip155:8453",
          "scheme": "exact"
        },
        "providerName": "",
        "quality": null,
        "serviceName": "Linear regression",
        "tags": [
          "linear regression",
          "ordinary least squares",
          "fit regression line",
          "predict from regression",
          "slope and intercept"
        ],
        "url": "https://stats.openverbs.com/v1/regression"
      },
      {
        "description": "Full descriptive summary of a numeric sample: count, sum, min/max/range, mean, median, mode(s), variance, standard deviation and the quartiles (q1/q3/iqr). Set sample=true for the sample variance/stdev (÷ n-1) instead of the population form (÷ n).",
        "method": "POST",
        "parameters": [
          {
            "default": null,
            "description": "",
            "enumValues": [],
            "example": [],
            "group": "body",
            "name": "data",
            "required": false,
            "type": "array"
          },
          {
            "default": null,
            "description": "",
            "enumValues": [],
            "example": false,
            "group": "body",
            "name": "sample",
            "required": false,
            "type": "boolean"
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        ],
        "pricing": {
          "amount": "0.004",
          "currency": "USDC",
          "maxAmount": "",
          "minAmount": "",
          "network": "eip155:8453",
          "scheme": "exact"
        },
        "providerName": "",
        "quality": null,
        "serviceName": "Descriptive summary",
        "tags": [
          "descriptive statistics",
          "summary statistics api",
          "calculate mean median",
          "variance standard deviation",
          "numeric sample summary"
        ],
        "url": "https://stats.openverbs.com/v1/summary"
      }
    ],
    "enriched": false,
    "iconUrl": "",
    "id": "stats-openverbs-com",
    "integrationType": "",
    "isNew": false,
    "name": "stats.openverbs.com",
    "networks": [
      "Base"
    ],
    "priceSummary": {
      "avgCostBasis": "exact",
      "avgCostPerTransaction": "0.004",
      "currency": "USDC",
      "maxAmount": "0.004",
      "minAmount": "0.004"
    },
    "provider": "stats.openverbs.com",
    "providerUrl": "",
    "serviceName": "",
    "tags": [
      "pearson correlation",
      "correlation coefficient",
      "calculate covariance",
      "paired series correlation",
      "linear relationship stats",
      "percentile calculator",
      "quantile calculator",
      "calculate percentiles",
      "r7 percentile",
      "excel percentile inc",
      "linear regression",
      "ordinary least squares",
      "fit regression line",
      "predict from regression",
      "slope and intercept",
      "descriptive statistics",
      "summary statistics api",
      "calculate mean median",
      "variance standard deviation",
      "numeric sample summary"
    ]
  },
  "source": "agentic_market",
  "summary": ""
}

What the leaf hashes

{"body":"370fcb53af8e937302fc32fdf8fd93944d1ae02dcf01df336713a995550d3998","id":3959957,"kind":"listing","method":"sync.agentic_market/1","observed_us":1794076232551749,"prev":3439427,"subject":"agentic_market:stats-openverbs-com","subject_kind":"source_record"}

Proof

Fold these into the leaf in order, hashing each sorted pair with keccak256, to reach the root of 2026-11-07 (195826 rows).

1. 0x5b559fba5dce833ab25161dfb510642d6b35933cec1ad5757d0cf8b8bfff82e0
2. 0x7b4c2b9358286c72f42b01dd540f257d1a9f7608bfc42136ce5a792837ae5d66
3. 0x685a67007dad50b7b29629168b07a51e3149df59125b96fe03b1ca55ec7e5cc8
4. 0x102e3468d1d858e39ae7e72da995624248a32654b4a2a2fa115505197ac1ed02
5. 0xdfa4efc121a75a19f229a7196274766b85345f865eb6c18891c098bc367c73f4
6. 0x09da8eb08ffff16c05393881e3b50918c9848c06eeae99ac5d91bf6487b805db
7. 0xf8c68ab8c97769bdbd565290ae3254e13038d90f28616f209b08240d88eee580
8. 0xd4c0f07e384c7123cef29eccfebfdd1194abc336c926519dfae876e8ac229db8
9. 0x8b2d2c176c69bf22bc98ee268c8488023ce4b9861644ea5107ddb11cf87970fc
10. 0xbbad85beea3e6af1758124fadfe95ac828a9800dd9e7ebc3a6188b10ca103373
11. 0x41affd84efb27fe70c6884e08adc1ae7b2f934e6e1b82f493bfb732a7a2dc9ea
12. 0xc993339f8da646bed2fb3665c7056505de1e2b657f02d07dc7418ad49e7357eb
13. 0x610cfeaa2eca7ae44f051846531f815573ef1030804869a7ed428105b6b78f81
14. 0x712cc609388442c0171a13fe8c2149c1d02ab5643adc1ab035eb3abf53adbae9
15. 0x9127f3a0ab829dab5d80217ddc8d077053e20f2e260baed043c8a97478ebb2bf
16. 0x9108c80d13a11b7549b554924410a7c5d215a2cd03aee9659ca627cb099f1a2e
17. 0x3b69f6d98c91b21287021db092e52491474f0d08438393ac130d6a3c273bcd4a
18. 0xff23fa8a9de3f957315ef0dfe7e8d8f6b1a51dae05fef7615c59794e019ff05c

Day root

0x17da9e85e1b138541355d33543ff34e3503cd3a49d37728fb53643e2a0416a2d

Chained

0xed34bd4af17282643de8cb9591c84d0aa1b39e1e9ae9864941e543f5a15718cb

Published

On Arc Testnet, block 71280839: 0xc3f6784179e0ca32236ba89472473e882a81d03fcc5ce27ca58ded2e01e112aa