← The evidence ledger
Evidence row 122007
Observed , by baseline/1.
- Kind
- listing
- About
- source_record x402_bazaar:https://stats.openverbs.com/v1/regression
- Recorded
- Previous row
- None: the first of its kind about this subject
- Body SHA-256
- 5c0d4a232e3c4cc0d55cd5fce566ed24d5df2292ecba3c989e406b1cd24c0579
- Leaf
- 0x02e14b6da97703c2b71b56b0292655181ef68e0308f59efdf69e58c4255b6ec2
What was observed
{
"endpoints": [
[
"x402",
"https://stats.openverbs.com/v1/regression"
]
],
"name": "Linear regression",
"owner_address": "0xb3f4de103f34b99f0da19b4f16d6b53a14c2194a",
"raw": {
"accepts": [
{
"amount": "4000",
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"extra": {
"name": "USD Coin",
"version": "2"
},
"maxTimeoutSeconds": 300,
"network": "eip155:8453",
"payTo": "0xb3f4de103F34b99f0Da19B4F16D6B53a14C2194A",
"scheme": "exact"
}
],
"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.",
"extensions": {
"bazaar": {
"info": {
"input": {
"body": {
"predictAt": 4,
"x": [
1,
2,
3
],
"y": [
2,
4,
6
]
},
"bodyType": "json",
"method": "POST",
"type": "http"
}
},
"schema": {
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"input": {
"additionalProperties": false,
"properties": {
"body": {
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"properties": {
"predictAt": {
"description": "Optional x at which to evaluate the fitted line.",
"type": "number"
},
"x": {
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"items": {
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"type": "array"
},
"y": {
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"items": {
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},
"required": [
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],
"type": "object"
},
"bodyType": {
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],
"type": "string"
},
"method": {
"enum": [
"POST"
],
"type": "string"
},
"type": {
"const": "http",
"type": "string"
}
},
"required": [
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"method",
"bodyType",
"body"
],
"type": "object"
}
},
"required": [
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],
"type": "object"
}
}
},
"lastUpdated": "2026-10-06T16:56:21.716Z",
"quality": {
"l30DaysTotalCalls": 1,
"l30DaysUniquePayers": 1,
"lastCalledAt": "2026-10-06T16:56:21.431Z"
},
"resource": "https://stats.openverbs.com/v1/regression",
"serviceName": "Linear regression",
"tags": [
"linear regression",
"ordinary least squares",
"fit regression line",
"predict from regression",
"slope and intercept"
],
"type": "http",
"x402Version": 2
},
"source": "x402_bazaar",
"summary": "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."
}What the leaf hashes
{"body":"5c0d4a232e3c4cc0d55cd5fce566ed24d5df2292ecba3c989e406b1cd24c0579","id":122007,"kind":"listing","method":"baseline/1","observed_us":1793025620795892,"prev":null,"subject":"x402_bazaar:https://stats.openverbs.com/v1/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).
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- Day root
- 0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8
- Chained
- 0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a
- Published
- On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae