# KiHustle Paired T-Test API

> 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 (dependent samples) t-test on two matched numeric arrays to determine statistical significance of the difference between them

## Facts

- Endpoint: POST https://kihustle.tech/nexus/api/v1/t-test-paired
- Price: $0.002/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-14
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/kihustle-paired-t-test-api-a789fd8e
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_hybYFqSLw-LPvY50uUjCQ

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability kihustle-paired-t-test-api-a789fd8e -d '<json body>'
```

Example prompt: Run a paired t-test on my before and after measurements — before: [12.3, 15.1, 9.8, 11.5, 14.2] and after: [14.1, 16.8, 11.2, 13.0, 15.9] — and tell me if the difference is statistically significant.

## When to prefer this

Choose this endpoint when you have paired/matched samples (same subjects measured twice, e.g. before and after an intervention) and need to test whether the mean difference is statistically significant. Prefer over independent t-test endpoints when observations are naturally paired. Useful in scientific experiments, A/B tests with matched users, or any repeated-measures scenario.

## Known failure modes

- Mismatched array lengths (before and after arrays must have equal number of elements)
- Empty or null arrays causing computation failure
- Non-numeric values in input arrays
- Arrays with fewer than 2 elements (insufficient degrees of freedom)
- Generic 'processed'/'success' response may lack granular statistical details like p-value or confidence intervals

## How this service works

Kostenlose Guides, Solo-Playbooks und Artikel zu KI, Automation und Side Hustles — für Menschen, die mit echten Systemen online Einkommen aufbauen wollen. Transparent finanziert über faire Affiliate-Links.

## Output

Returns a JSON object with a 'result' field indicating the computed outcome and a 'status' field confirming success. In practice for a paired t-test this should include the t-statistic, degrees of freedom, and p-value indicating whether the difference between before and after arrays is statistically significant.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "after": {
   "type": "array",
   "items": {
    "type": "number"
   }
  },
  "before": {
   "type": "array",
   "items": {
    "type": "number"
   }
  }
 }
}
```

## Response schema (JSON Schema)

```json
{
 "type": "json",
 "example": {
  "result": "processed",
  "status": "success"
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/kihustle-paired-t-test-api-a789fd8e/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from kihustle.tech](https://www.zero.xyz/host/kihustle.tech/llms.txt)