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KiHustle Paired T-Test API
x402
KiHustle Paired T-Test 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).
Performs a paired t-test on two sets of numeric observations (before and after) to determine statistical significance of the difference.
Price / call$0.002
Success—
StatusUnknown
How this service works
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Output
Returns a JSON object indicating whether the paired t-test was processed successfully, along with a result field. The response signals computation status (success) and a result field; detailed t-statistic and p-value output may depend on implementation specifics of this endpoint.
Example use cases
Pre/post intervention significance test
“I have student test scores before and after a tutoring program — before: [68, 72, 65, 80, 77] and after: [74, 79, 70, 85, 82] — can you run a paired t-test to see if the improvement is statistically significant?”
Clinical trial paired measurements
“We measured patients' blood pressure before [130, 145, 128, 138, 142] and after [120, 132, 119, 127, 131] taking a new medication — please run a paired t-test to check if the reduction is significant.”
A/B experiment repeated measures
“I ran a UX experiment where the same users completed a task with the old interface [45, 52, 38, 60, 55] and new interface [39, 44, 33, 50, 47] — do a paired t-test to tell me if the new design is meaningfully faster.”
Technical details
Endpoint
POSThttps://kihustle.tech/agents/api/v1/t-test-pairedWhen to prefer
Choose this endpoint when you need a quick, pay-per-use paired t-test computation without setting up a local statistics library. Ideal for agents automating experiment analysis pipelines, comparing repeated measures on the same subjects, or validating before-and-after treatment effects. Prefer this over independent-samples t-test endpoints when your two data arrays represent the same subjects measured twice.
Side effects
- Mismatched array lengths between 'before' and 'after' inputs causing computation failure
- Empty arrays provided for one or both inputs
- Non-numeric values in the numeric arrays causing parse errors
- Arrays with only one element (insufficient degrees of freedom for t-test)
- Network timeout on large datasets
- HTTP 402 payment required if USDC payment header is missing or insufficient
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| after | array | |
| before | array |
Output
Schema · Response
{
"type": "json",
"example": {
"result": "processed",
"status": "success"
}
}Tags
x402
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