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Least-Squares Linear Fit Calculator
x402
Least-Squares Linear Fit Calculator is a paid API for AI agents from x402.forgemesh.io, paid per call via x402, $0.002/call, status unknown (last checked 2026-09-13).
Computes the best-fit line for paired numeric data, returning slope, intercept, and R² goodness-of-fit score via least-squares regression.
Price / call$0.002
Success—
StatusUnknown
How this service works
Least-squares linear fit calculator: pass paired numeric data and get back the best-fit line equation, slope, intercept, and goodness-of-fit score. For analytics dashboards, A/B result interpretation, and any pipeline that needs a quick, exact regression without spinning up a stats library.
Output
Returns the best-fit line equation parameters including slope, intercept, and a goodness-of-fit (R²) score indicating how well the line describes the data.
Example use cases
Example prompt
“Can you fit a least-squares line to these paired data points — x: [1, 2, 3, 4, 5] and y: [2.1, 3.9, 6.2, 7.8, 10.1] — and give me the slope, intercept, and R² score?”
Technical details
Endpoint
POSThttps://x402.forgemesh.io/least-squares-fitWhen to prefer
Choose this endpoint when you need a quick, exact least-squares linear regression without spinning up a local stats library or math environment — ideal for analytics dashboards, A/B test result interpretation, lightweight data pipelines, or any agent that needs slope/intercept/R² on the fly at low cost ($0.002 per call).
Side effects
- Mismatched array lengths between x and y (400 error)
- Empty or single-element arrays that cannot produce a regression
- Non-numeric values in x or y arrays
- Vertical line data (zero variance in x) causing division by zero
- Payment failure or insufficient USDC balance (402 error)
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| x | array | |
| y | array |
Output
Schema · Response
{
"type": "json",
"example": {
"slope": 1.9,
"equation": "y = 1.9x + -0.5",
"intercept": -0.5,
"r_squared": 0.966
}
}Tags
x402
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