Evidence row 1784806

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": {
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      "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",
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            "type": "array"
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            "example": [],
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        ],
        "pricing": {
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          "currency": "USDC",
          "maxAmount": "",
          "minAmount": "",
          "network": "eip155:8453",
          "scheme": "exact"
        },
        "providerName": "",
        "quality": {
          "l30DaysTotalCalls": "2",
          "l30DaysUniquePayers": "2"
        },
        "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,
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          {
            "default": null,
            "description": "",
            "enumValues": [],
            "example": [],
            "group": "body",
            "name": "percentiles",
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        ],
        "pricing": {
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          "currency": "USDC",
          "maxAmount": "",
          "minAmount": "",
          "network": "eip155:8453",
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        },
        "providerName": "",
        "quality": {
          "l30DaysTotalCalls": "1",
          "l30DaysUniquePayers": "1"
        },
        "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"
          },
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        ],
        "pricing": {
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          "maxAmount": "",
          "minAmount": "",
          "network": "eip155:8453",
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        },
        "providerName": "",
        "quality": {
          "l30DaysTotalCalls": "1",
          "l30DaysUniquePayers": "1"
        },
        "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"
          },
          {
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            "enumValues": [],
            "example": false,
            "group": "body",
            "name": "sample",
            "required": false,
            "type": "boolean"
          }
        ],
        "pricing": {
          "amount": "0.004",
          "currency": "USDC",
          "maxAmount": "",
          "minAmount": "",
          "network": "eip155:8453",
          "scheme": "exact"
        },
        "providerName": "",
        "quality": {
          "l30DaysTotalCalls": "2",
          "l30DaysUniquePayers": "2"
        },
        "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":"e45d8902f117ee3ff647f5c8d945eaf8d98c942e31fcc4aeb2f22bfb6f03274a","id":1784806,"kind":"listing","method":"sync.agentic_market/1","observed_us":1793557153229849,"prev":3884,"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 2026-11-01 (302406 rows).

1. 0x754f08921dea5865c7b2b76ff6ae501961b30026cf51b831c5da0164589d95a1
2. 0x69512ed0bfbaf7544718db1572308169fcb17f125908a260b8fd51a9adaf6c95
3. 0x781ccf5ab2a7b09cdd546519237894cb88113aaf373097ea4b76fa1b88cbe43d
4. 0x6529cc2c5e5368ebea1c80ae8c323158a42612a150f22a366b2ed374aa0a2ba9
5. 0xfd61ad92237bf0f410b6d379bc8970d788dd0b25f942b1ef09a92f6ea2dfb780
6. 0x76f0a458d61781f929dd76acdb1353e8bf81bbfab4fd8e9412aa18c40ce3b2e6
7. 0xc589a6b57fba447430ddd10a30a162ccc956405ca6ee840f7316f44dda76d8b9
8. 0x6567df61abf5264a9a0574d6f473524e9a9bd02dcf360e09f6df54deaab7a3b7
9. 0x147da6b1d04f3c42db0c11cf1a042d2efb622f6a5f9fbaa1dbdd90de7dba5370
10. 0x0688076ddbe6c9e5e5e39ce14425fdb1936b933c54ff71b42c4e1d6444f9f3fa
11. 0xc76da62af966ce1abddcfd5dadc958126f88913c21ca8b27e1027a7e7502ac0a
12. 0x7db75c7aace077c417d768719a6bf43b859889f737d52a7a24f768c32a757f76
13. 0xeed7e951b5e4701a6d9e1ccb44369bdaeb14efaf3655042a73f8487da4230bf1
14. 0x3c3408392402b125bd2c2cfb11c655ba3e5ef4f456caee26d4ee38a093e93c53
15. 0x614dbc600bca0766e288d2a5ebb7709ac565230ac6acdc88a5e4a7a5ff53c58e
16. 0xe329dbfb0db2c7f35334e66970a8ee37ee2d3356d34d692c10f84b6f7de65a35
17. 0x0c618c42b286ad61acd8204aa6dcf024b8b041d3759aa585bf4e221abc39cb5d
18. 0x6142ac48fda269c17791c79da99c2456ac6acfe98268f4d168a404fd6040c703
19. 0x3315fd2757fdd435852cc277377234a3f3909a6d2a089d0e36f6d59aacfda910

Day root

0x7fa2cba1cf3d6b35630896f5fe1a650adb307ea2c376e80a5f2d9276b7cb5ab3

Chained

0x577ff89ba012beeff3197bcff7fa86752074bdf54205a24359cc437be2a952a4

Published

On Arc Testnet, block 70262758: 0x435bc1b9331471d72e1998f2e420983b5189d4da65ffbd6f27ef40daf5e1ea90