# KiHustle Linear Regression Predict

> KiHustle Linear Regression Predict is a paid API for AI agents from kihustle.tech, paid per call via x402, $0.002/call, status unknown (last checked 2026-09-13).

Performs linear regression on a set of (x, y) data points and returns a predicted y value for a given x input.

## Facts

- Endpoint: POST https://kihustle.tech/api/v1/linear-regression-predict
- Price: $0.002/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-13
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/kihustle-linear-regression-predict-cc13b7c9
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_V52C3BKppOLXAdvk8vVb5

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-linear-regression-predict-cc13b7c9 -d '<json body>'
```

Example prompt: I have a set of data points — (1, 2), (2, 4), (3, 5.5), (4, 8) — can you run a linear regression on them and predict the y value when x is 6?

## When to prefer this

Choose this endpoint when you need a lightweight, pay-per-call linear regression prediction without setting up your own ML infrastructure. It is ideal for simple one-dimensional regression tasks where you have a small set of numeric x-y pairs and need a quick point estimate. Prefer alternatives (e.g. scikit-learn, a full ML API) for multi-variable regression, non-linear relationships, or when you need confidence intervals and model diagnostics.

## Known failure modes

- Insufficient data points provided (fewer than 2 points makes regression undefined)
- Non-numeric values in the points array causing parsing errors
- Missing required fields (points array or predict_x) returning a validation error
- Collinear or single-value x inputs causing division-by-zero in slope calculation
- API returns generic {result: processed, status: success} without a meaningful numeric prediction if schema is sparse

## 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 containing the predicted y value for the given x input based on linear regression fitted to the provided data points, along with a success status indicator.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "points": {
   "type": "array",
   "items": {
    "type": "object",
    "additionalProperties": {
     "type": "number"
    }
   }
  },
  "predict_x": {
   "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-linear-regression-predict-cc13b7c9/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)