# KiHustle Bayes Probability Calculator

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

Computes posterior probability using Bayes' theorem given prior probability, likelihood, and false positive rate

## Facts

- Endpoint: POST https://kihustle.tech/agents/api/v1/probability-bayes
- 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-bayes-probability-calculator-6edb3711
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_XRW6m70xw0H0wqPGbEDJr

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-bayes-probability-calculator-6edb3711 -d '<json body>'
```

Example prompt: Can you calculate the Bayesian posterior probability for me? My prior probability p(A) is 0.1, the probability of observing the evidence given A is 0.9, and the probability of observing the evidence given not-A is 0.2.

## When to prefer this

Use this endpoint when you need a quick, pay-per-call Bayesian posterior probability calculation without setting up your own math library or statistical service. It is well-suited for AI agents that need to update belief probabilities on-the-fly given prior and conditional probabilities, particularly in lightweight automation pipelines where installing a full stats library is impractical.

## Known failure modes

- Missing required fields (p_a, p_b_given_a, or p_b_given_not_a) may return an error or unexpected result
- Probability values outside the 0–1 range may cause computation errors or invalid results
- Division by zero if p_b_given_a and p_b_given_not_a are both 0 (denominator collapses)
- Vague or generic response schema means the exact error format is not well-documented
- Service may be experimental with limited reliability guarantees

## 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 posterior probability value and a 'status' field confirming success. The posterior represents P(A|B) — the updated probability of A being true given the observed evidence B.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "p_a": {
   "type": "number"
  },
  "p_b_given_a": {
   "type": "number"
  },
  "p_b_given_not_a": {
   "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-bayes-probability-calculator-6edb3711/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)