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 2026-10-12).

Computes a one-way ANOVA F-statistic across multiple data groups 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 outcome and a 'status' field confirming successful processing. The F-statistic value or related statistical output is expected within the result payload.

Example use cases

A/B/C experiment significance test

“I ran an experiment with three variants and got these scores — control: [45, 47, 43], variant A: [55, 58, 52], variant B: [48, 50, 46]. Can you run an ANOVA F-test to tell me if any variant performed significantly differently?”

Comparing survey response groups

“I have survey scores from three departments — Sales: [7, 8, 6, 9], Engineering: [5, 4, 6, 5], and Marketing: [8, 9, 8, 7]. Run an ANOVA to see if satisfaction scores differ significantly across departments.”

Agricultural yield group comparison

“I have crop yield data from four treatment groups — no fertilizer: [20, 22, 19], low dose: [28, 30, 27], medium dose: [35, 33, 36], high dose: [38, 40, 37]. Can you compute the F-statistic to test whether fertilizer amount significantly affects yield?”

Technical details

Endpoint

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

When to prefer

Choose this endpoint when you need a lightweight, pay-per-call ANOVA F-statistic computation without standing up your own statistical computing environment. It is well-suited for agents that infrequently need to compare group means and want a simple REST interface rather than integrating a full statistics library.

Side effects

Missing or malformed 'groups' object in request body returns error
Fewer than two groups provided may cause computation failure
Non-numeric values within groups may result in processing errors
Empty group arrays may cause division errors in variance calculation
Network or payment authorization failure returns 402 status

Input

Schema · Request body

Field	Type	Description
groups	object

Output

Schema · Response

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

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