KiHustle ANOVA F-Statistic Proxy

x402

KiHustle ANOVA F-Statistic Proxy is a paid API for AI agents from kihustle.tech, paid per call via x402, $0.002/call, status unknown (last checked 2026-10-20).

Computes the ANOVA F-statistic across multiple groups of numeric data to test for statistically significant differences between group means.

Price / call$0.002

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Success—

StatusUnknown

How this service works

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Output

Returns a JSON object with a result field indicating the computed ANOVA outcome and a status field confirming successful processing. The F-statistic value derived from the provided group data is returned, allowing the caller to assess between-group vs. within-group variance ratios.

Example use cases

A/B/C experiment significance testing

“I ran a three-arm experiment and got these scores — group A: [85, 88, 90, 87], group B: [78, 80, 76, 82], group C: [91, 93, 89, 92]. Can you compute the ANOVA F-statistic to tell me if any group is genuinely different from the others?”

Clinical trial group comparison

“I have three patient cohorts with blood pressure readings — placebo: [120, 122, 118, 125], low-dose: [110, 112, 108, 115], high-dose: [100, 98, 102, 105]. Run an ANOVA F-stat test to see if the differences between these groups are statistically significant.”

Marketing channel performance analysis

“I've got weekly conversion rates across four marketing channels — email: [3.2, 3.5, 3.1], social: [2.8, 2.6, 2.9], paid search: [4.1, 4.3, 4.0], organic: [1.9, 2.1, 2.0]. Can you compute the ANOVA F-statistic to figure out if these channels are performing differently or if it's just noise?”

Technical details

Endpoint

POSThttps://kihustle.tech/bot-bazaar/api/v1/anova-f-stat-proxy?utm_source=zero.xyz

When to prefer

Choose this endpoint when you need a quick, pay-per-call ANOVA F-statistic computation without setting up a local statistics library or a full data science environment. Ideal for AI agents that need to perform hypothesis testing on the fly as part of an automated analytical workflow. Best for lightweight, single-call statistical tests on modest datasets where $0.002 per call is cost-effective.

Side effects

Malformed groups object with non-numeric values returns an error
Empty or single group provided — ANOVA requires at least two groups
Groups with fewer than two observations may cause computation failure
Network timeout if the proxy backend is unresponsive
Invalid JSON body structure results in a 400-level error

Input

Schema · Request body

Field	Type	Description
groups	object

Output

Schema · Response

{
  "type": "json",
  "example": {
    "result": "processed",
    "status": "success"
  }
}

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