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Correlation & Regression Analysis
x402
Correlation & Regression Analysis is a paid API for AI agents from math-stats.x402tookit.com, paid per call via x402, $0.02/call, status unknown (last checked 2026-10-29).
Computes Pearson and Spearman correlations with p-values, fits a least-squares regression line, returns R-squared, and optionally predicts a y-value for a given x.
Price / call$0.02
Success—
StatusUnknown
How this service works
Pearson and Spearman correlation of two lists with p-values, plus the least-squares line, R squared and an optional prediction.
Output
Returns Pearson r and its p-value, Spearman rho and its p-value, sample size n, mean of x, mean of y, regression slope and intercept, R-squared, residual standard error, and optionally a prediction object with the input x, predicted y, and whether the prediction is extrapolating beyond the data range. Also includes a summary string and any relevant disclaimer.
Example use cases
Ad spend vs revenue correlation
“I have monthly ad spend figures: 500,800,1200,1500,2000 and corresponding revenue: 4200,5800,7500,9100,12000. Can you calculate both Pearson and Spearman correlations with p-values, fit a regression line, and tell me what revenue to expect at an ad spend of 2500?”
Checking if temperature affects sales
“I want to know if daily temperature is correlated with ice cream sales. My temps in Fahrenheit are: 65,70,75,80,85,90 and sales units are: 120,145,165,200,230,275. Can you run Pearson and Spearman correlation tests and show me the R-squared and regression line?”
Student study hours vs exam score regression
“Here are study hours for 7 students: 1,2,3,4,5,6,7 and their exam scores: 55,60,65,70,80,85,92. Can you find the correlation between hours studied and scores, and predict what score a student who studies 8 hours would likely get?”
Technical details
Endpoint
GEThttps://math-stats.x402tookit.com/correlation?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both Pearson and Spearman correlation in one call along with a fitted regression line and optional prediction. It is more comprehensive than a simple correlation call, covering parametric and rank-based correlation simultaneously with significance testing. Prefer it over a t-test endpoint when the research question is about the strength and direction of a linear relationship between two continuous variables rather than a difference in means.
Side effects
- Mismatched list lengths for x and y — returns error requiring equal-length inputs
- Non-numeric values in x or y strings — parsing failure
- Insufficient data points (e.g. n<3) — correlation undefined or degenerate
- x or y parameters missing entirely — 400 bad request
- All x values identical — slope undefined, regression cannot be computed
- Payment not included or insufficient — 402 Payment Required
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Tags
x402
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