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x402.forgemesh.io Line of Best Fit
x402
x402.forgemesh.io Line of Best Fit 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 linear regression (slope, intercept, R-squared, and equation) for a set of x/y data points using least-squares fitting.
Price / call$0.002
Success—
StatusUnknown
How this service works
Linear regression API: slope, intercept, R-squared, and the equation of the best-fit line through your x/y data points. Least-squares, exact.
Output
Returns the slope, y-intercept, R-squared value, and the full equation of the best-fit line computed via exact least-squares linear regression.
Example use cases
Example prompt
“Can you calculate the line of best fit for these data points — x values [1, 2, 3, 4, 5] and y values [2.1, 3.9, 6.2, 7.8, 10.1] — and give me the slope, intercept, and R-squared?”
Technical details
Endpoint
POSThttps://x402.forgemesh.io/line-of-best-fitWhen to prefer
Use this endpoint when you need a quick, exact least-squares linear regression over arbitrary numeric x/y arrays and want slope, intercept, R-squared, and the line equation in one call — especially when you're already paying per-call via x402 and don't want to spin up a local compute environment.
Side effects
- Mismatched array lengths for x and y return a validation error
- Empty or single-element arrays may produce undefined regression results
- Non-numeric values in x or y arrays cause parse errors
- Perfectly vertical data (all same x values) causes division-by-zero for slope
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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