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KiHustle Bayes Probability Calculator
x402
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 Bayesian posterior probability P(A|B) given prior probability, likelihood, and marginal likelihood inputs
Price / call$0.002
Success—
StatusUnknown
How this service works
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Output
Returns a JSON object with a computed result field containing the Bayesian posterior probability P(A|B), along with a success status indicator.
Example use cases
Medical test result interpretation
“I have a disease screening test result. The base rate of the disease is 0.01, the test correctly detects the disease 95% of the time, and gives a false positive 5% of the time. What's the actual probability I have the disease given a positive test?”
Spam email classification
“Help me figure out the Bayesian probability that an email is spam. My prior for spam is 0.3, the probability of seeing this keyword pattern in spam is 0.85, and the probability of seeing it in non-spam is 0.05.”
Investment signal reliability
“I want to update my belief about a trade signal being correct. My prior confidence is 0.4, the signal fires correctly 70% of the time when the outcome is good, and fires incorrectly 20% of the time when the outcome is bad. What's the posterior probability?”
Technical details
Endpoint
POSThttps://kihustle.tech/bot-bazaar/api/v1/probability-bayes?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need a quick, cheap ($0.002) server-side Bayes theorem computation without implementing the formula yourself. Ideal when an AI agent needs to programmatically update probabilities based on evidence in an automated pipeline. Prefer this over local computation when you want a standardized, auditable calculation step in an agent workflow.
Side effects
- Missing required fields (p_a, p_b_given_a, or p_b_given_not_a) result in a processing error
- Invalid probability values outside [0,1] range may cause unexpected results
- Division by zero if P(B) computes to zero (when P(B|A)*P(A) + P(B|not-A)*P(not-A) = 0)
- Non-numeric input types may cause a failure response
- Generic error response with status field only, limited error detail
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| p_a | number | |
| p_b_given_a | number | |
| p_b_given_not_a | number |
Output
Schema · Response
{
"type": "json",
"example": {
"result": "processed",
"status": "success"
}
}Tags
x402
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