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KiHustle Spearman Correlation API
x402
KiHustle Spearman Correlation API is a paid API for AI agents from kihustle.tech, paid per call via x402, $0.002/call, status unknown (last checked 2026-09-14).
Computes the Spearman rank-order correlation coefficient between two numerical data series
Price / call$0.002
Success—
StatusUnknown
How this service works
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Output
Returns a JSON object containing a 'result' field with the computed Spearman correlation value (a number between -1 and 1) and a 'status' field confirming success. A value near 1 indicates strong positive rank correlation, near -1 strong negative, and near 0 no monotonic relationship.
Example use cases
Revenue vs ad spend correlation
“I have monthly revenue figures [12000, 15000, 14000, 18000, 22000] and corresponding ad spend [1000, 1200, 1100, 1500, 2000] — can you run a Spearman correlation to see if there's a meaningful rank relationship between them?”
User engagement rank correlation
“Check the Spearman correlation between my app's daily active users [300, 450, 420, 500, 610] and support tickets [10, 18, 15, 22, 30] — I want to know if higher engagement tends to rank alongside more support load.”
Survey response consistency check
“I've got two raters who scored the same 6 candidates: rater A gave [7, 5, 9, 3, 6, 8] and rater B gave [6, 4, 8, 2, 7, 9] — can you calculate the Spearman correlation to see how consistently they're ranking people?”
Technical details
Endpoint
POSThttps://kihustle.tech/api/v1/json-correlation-spearmanWhen to prefer
Choose this endpoint when you need a non-parametric rank-order correlation that is robust to outliers and non-normal distributions. Prefer Spearman over Pearson when your data may not be linearly related or when you're working with ordinal data. This is a simple, inexpensive per-call computation suitable for two numeric arrays of any real-world measurement.
Side effects
- Mismatched array lengths between series_a and series_b causing a processing error
- Empty arrays provided resulting in undefined correlation
- Non-numeric values in arrays causing parsing failure
- Constant series (no rank variation) leading to undefined or NaN correlation
- Payment failure due to insufficient USDC balance blocking the request
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| series_a | array | |
| series_b | array |
Output
Schema · Response
{
"type": "json",
"example": {
"result": "processed",
"status": "success"
}
}Tags
x402
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