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Evidence row 3884

Observed , by baseline/1.

Kind
listing
About
source_record agentic_market:stats-openverbs-com
Recorded
Previous row
None: the first of its kind about this subject
Body SHA-256
7e0fb9016be073c754f635de7f0f3f034f6d9bc7c6785a3f0c05626ce2dd5f2a
Leaf
0xa6ca696797a47f6ae9b6f95b0dfd4688adc562407467931ad77e4290a5290d95

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"
          }
        ],
        "pricing": {
          "amount": "0.004",
          "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",
            "required": false,
            "type": "array"
          }
        ],
        "pricing": {
          "amount": "0.004",
          "currency": "USDC",
          "maxAmount": "",
          "minAmount": "",
          "network": "eip155:8453",
          "scheme": "exact"
        },
        "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"
          },
          {
            "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"
          }
        ],
        "pricing": {
          "amount": "0.004",
          "currency": "USDC",
          "maxAmount": "",
          "minAmount": "",
          "network": "eip155:8453",
          "scheme": "exact"
        },
        "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"
          },
          {
            "default": null,
            "description": "",
            "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": "3",
          "l30DaysUniquePayers": "3"
        },
        "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":"7e0fb9016be073c754f635de7f0f3f034f6d9bc7c6785a3f0c05626ce2dd5f2a","id":3884,"kind":"listing","method":"baseline/1","observed_us":1793025276355037,"prev":null,"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 (296695 rows).

  1. 0xa6ca85d9768900d2e028bde9181bada23d9c35162e16d9c2dabc9876e827e11a
  2. 0xc89cf69b62e5aa543075c375933c49084d48c23ea3d108061c3d8cb92ad6a066
  3. 0xc778e3da24c34395c9ee933c4e47020fef1dd2e19526b2c57f1dd2916d551623
  4. 0x1defffc8159947626d8261e1f83343cbdd2ee91d6e041bc890345dba6e79b7b8
  5. 0x51b2c4c3a1ae2397e3b0f65b5a9d7e8c1a86373f8ad9bb13d2f56781cbc29bfb
  6. 0x277e92e7b8bbb2644787e40979c2cc68bf83372db3e687e68f1c074d2d1eaa03
  7. 0xb6ca6944c10741b063cdb20208f40db38dc0d03c531d5468eba33f4bd70976be
  8. 0xf6310dd9e852ac0f1ea5d503b0b2cebd3be5302008b8b2e25e814771907f4f2e
  9. 0xe6ee0f234ffe56205700b1e8dd7802c20485340595800c1900625aea4c3ff77f
  10. 0x8898ab8e9245665c91957f93ced1d4675156754992f0651eb80aa5869ec8fd1b
  11. 0xf9b4ada16aca6f9b63c09b94519008e1b94357a9d352c245023758b56b82d0b1
  12. 0x1e464fcb484a1e782f9fe44be5118a9de934eb533c96ba10fc7d20e3a3e4711c
  13. 0x292ebdce6b8d3d7ef08ad646a0fd97dee9313ab55c1a350807d9f3013794c37a
  14. 0x428106f4ae4ec142f17aebf6fa50935242f8d3f1c211cf95d6351d03d11da2b7
  15. 0x62a900133713919f4eed33d8336876b7a6d538233b8a4f3ed03b29aa44f5bad0
  16. 0x1ac20d30773e1f4f2f811540e9a99b5cca9177c9e2e029acc0d80cf3f1d11f0f
  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