Ordinary least squares simple linear regression (y = slope*x + intercept) with R
Ordinary least squares simple linear regression (y = slope*x + intercept) with R-squared.
Answeringour last check, 2026-10-02
1 of 1checks answered this week
891 msmedian answer time
$0.001listed price per call
$0.001price it asked us
Paid test badge: not yet. The checks above are free: we call the tool without paying and read the payment request it sends back. The Verified badge needs paid calls whose answers match the promised output, and nobody can buy a badge.
Endpoint
POST https://x402.agentindex.world/stats/regression
| Category | Everything else |
|---|---|
| Provider host | x402.agentindex.world |
| Networks | eip155:8453 |
| Payment schemes | exact |
| Self-reported calls, 30 days | 0 from 0 payers (the provider's figure, not ours) |
Our checks, last 30 days
| Day | Result | HTTP | Asked | Time |
|---|---|---|---|---|
| 2026-10-02 | valid payment request | 402 | $0.001 | 891 ms |
Example input (from the provider)
{
"body": {
"x": [
1,
2,
3,
4,
5
],
"y": [
2,
4,
6,
8,
10
]
},
"bodyType": "json",
"method": "POST",
"type": "http"
}
Promised output schema (from the provider)
{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"input": {
"additionalProperties": false,
"properties": {
"body": {
"properties": {
"x": {
"items": {
"type": "number"
},
"minItems": 2,
"title": "X",
"type": "array"
},
"y": {
"items": {
"type": "number"
},
"minItems": 2,
"title": "Y",
"type": "array"
}
},
"required": [
"x",
"y"
],
"title": "RegressionInput",
"type": "object"
},
"bodyType": {
"enum": [
"json",
"form-data",
"text"
],
"type": "string"
},
"method": {
"enum": [
"POST",
"PUT",
"PATCH"
],
"type": "string"
},
"type": {
"const": "http",
"type": "string"
}
},
"required": [
"type",
"method",
"bodyType",
"body"
],
"type": "object"
},
"output": {
"properties": {
"example": {
"properties": {
"intercept": {
"title": "Intercept",
"type": "number"
},
"r_squared": {
"title": "R Squared",
"type": "number"
},
"slope": {
"title": "Slope",
"type": "number"
}
},
"required": [
"slope",
"intercept",
"r_squared"
],
"title": "RegressionOutput",
"type": "object"
},
"type": {
"type": "string"
}
},
"required": [
"type"
],
"type": "object"
}
},
"required": [
"input"
],
"type": "object"
}