# KiHustle Covariance Calculator

> KiHustle Covariance Calculator 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 statistical covariance between two numerical data series

## Facts

- Endpoint: POST https://kihustle.tech/agents/api/v1/covariance-calculator
- 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-covariance-calculator-d8531481
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_5laLSO8OOjfJeYPM0Nk_p

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-covariance-calculator-d8531481 -d '<json body>'
```

Example prompt: Calculate the covariance between these two data series for me — series A is [2.1, 3.5, 4.0, 5.2, 6.1] and series B is [1.8, 2.9, 3.7, 4.5, 5.9].

## When to prefer this

Choose this endpoint when you need a lightweight, pay-per-call statistical covariance computation without setting up a local math library or data science environment. It is ideal for agents embedded in workflows that occasionally need a quick covariance scalar between two numeric arrays, such as finance bots checking asset co-movement, ML pipelines evaluating feature relationships, or analytics agents comparing paired data sequences.

## Known failure modes

- Mismatched array lengths between series_a and series_b may produce an error or undefined result
- Empty arrays may cause a computation error
- Non-numeric values in either series will likely cause a validation failure
- Very large arrays may increase latency beyond typical fast response times
- Payment failure (insufficient USDC balance) will block the request entirely

## 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 containing the computed covariance value and a 'status' field confirming success. The covariance scalar indicates the direction and magnitude of linear co-movement between the two input series.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "series_a": {
   "type": "array",
   "items": {
    "type": "number"
   }
  },
  "series_b": {
   "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-covariance-calculator-d8531481/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)