Evidence row 3439427

What was observed

{
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    [
      "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"
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            "example": [],
            "group": "body",
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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,
            "type": "array"
          },
          {
            "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",
          "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"
          },
          {
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        ],
        "pricing": {
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          "currency": "USDC",
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          "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"
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        ],
        "pricing": {
          "amount": "0.004",
          "currency": "USDC",
          "maxAmount": "",
          "minAmount": "",
          "network": "eip155:8453",
          "scheme": "exact"
        },
        "providerName": "",
        "quality": {
          "l30DaysTotalCalls": "1",
          "l30DaysUniquePayers": "1"
        },
        "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":"98a038472818d2708cbb7675ecd332e94d06ddbad97d458642dab203befe0bed","id":3439427,"kind":"listing","method":"sync.agentic_market/1","observed_us":1793903214143224,"prev":1784806,"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 2026-11-05 (322504 rows).

1. 0x27428f6b90a6d69d86f856f42911346ff32bd93066bb5fe4f1e9a9c644459aae
2. 0x648be3bd467de5eef0e9a1ee7cc571d5397ab38dc205bb61535741a1545a5128
3. 0xa401be3d516d385d2292fa1d8664868484e74134d6d3b069aa44e13600620b67
4. 0xf2906b12b728ac4a4a0763fd3cf2293d57f94855a9810219d8c0aae35191d1cc
5. 0xe830208b74e3c1e42e4d862ef2b984d15ed10a89f145309d1daf33d7662e2139
6. 0x3991cfd5bca5df82a1014de741c47f4f55ee4d089e0590deac69225a7569530c
7. 0x1ab93b98ef5279a127445bc5d1ccd695661b6c2192997e8b97d9c9b37465b511
8. 0x35d6664e94a3a7374226b6a7808fb6ac63bf901eab01d9ba8ee9a32689ddb302
9. 0xdd7c6555b3fe6496cca684c0ff555c80b2cf382b41073960b8df4923525c2738
10. 0x513450dc9c61484aec70bb8bf454d0f9384de4c8f5f16e7d72bcedb21b780c48
11. 0x6e1c52e7a5c055be3e09ab8308c6f7842cb5831de8cd94a40dbc7efddfaae900
12. 0x02109cf45188a512fc127d79cd8ca3044cae2253fd9640a06383c6db296bf68e
13. 0xdab1015fa0b0821901bc847233eeaab127a98ede1ddcdea4ded43fe758a93318
14. 0x67e76a5b4517f0cd6d3381baab96eb627df4394492e64e7c2890e01538ee4d79
15. 0x213998878db6a423b0c367a68aba39293f9287b39bf1a80904fa9c6975bba987
16. 0x0009f1567d5c3f52d167d3c95d53c71fb66114fc26e83679b452d6db2f1d0b95
17. 0x0cdf39687556f127f9de2f03ec7df8e10e613bf9487760cbe3eaaaa02d8d48b4
18. 0xa9caf228b42660818160afb416ff04cb014f57c4d8ee75ea3452fb76c3d8c645
19. 0xf72fe7c4860b9addb17aac4a00b8afc2f8085836173f10f31697c3d192df119b

Day root

0x9f0215efb0252701dc86d5600ce95f276cccc716759bf112525ae863f698d128

Chained

0xc54ddff800630c6cd9656f99e7d6a61adce99bf1cea37121600598b0a9a720d2

Published

On Arc Testnet, block 70942081: 0x88f612ad94ca63af4e4e9faab9f34b665b41f03828afac1571ad013cc62bba94