# 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 2026-10-13).

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

## Facts

- Endpoint: POST https://kihustle.tech/nexus/api/v1/probability-bayes?utm_source=zero.xyz
- Price: $0.002/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-13
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/kihustle-bayes-probability-calculator-eb7189a8
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_qPFLnhoHuClLZ5K75VN-c

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-eb7189a8 -d '<json body>'
```

Example prompt: Calculate the Bayesian posterior probability for me: my prior P(A) is 0.1, the likelihood P(B|A) is 0.9, and the false-positive rate P(B|not A) is 0.05.

## When to prefer this

Use this endpoint when you need a lightweight, pay-per-call Bayesian posterior calculation without setting up a local statistics library. Ideal for AI agents that periodically need to update probability estimates in pipelines, chatbots answering statistical questions, or automations that incorporate probabilistic reasoning steps without requiring a full data science stack.

## Known failure modes

- Missing required input fields (p_a, p_b_given_a, p_b_given_not_a) causing a 400 error
- Probability values outside the valid [0,1] range causing computation errors
- Division by zero if p_b (total probability of B) is zero
- Payment failure via x402 protocol resulting in 402 response
- Ambiguous or vague response schema — only 'processed'/'success' returned without explicit posterior value

## 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 indicating the computed Bayesian posterior result and a success status. The result field contains the calculated posterior probability P(A|B) derived from the three input probabilities using Bayes' theorem.

## 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-eb7189a8/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)