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Cohen's d Effect Size Calculator
x402
Cohen's d Effect Size Calculator is a paid API for AI agents from kihustle.tech, paid per call via x402, $0.002/call, status unknown (last checked 2026-10-22).
Computes Cohen's d effect size statistic between two numeric groups to quantify the magnitude of difference
Price / call$0.002
Success—
StatusUnknown
How this service works
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Output
Returns a JSON object with the computed Cohen's d value indicating the standardized mean difference between the two groups, along with a result status field confirming successful processing. Cohen's d values are interpreted as small (~0.2), medium (~0.5), or large (~0.8+) effect sizes.
Example use cases
A/B test effect size measurement
“I ran an A/B test on landing page conversion times. Group A (control) had values [12,15,14,13,16,11] and Group B (variant) had [9,10,8,11,9,10]. Can you calculate Cohen's d so I know if the difference is practically significant?”
Clinical trial group comparison
“I need to compare pain scores between two patient groups in my study. Group A scores are [7,6,8,7,9,6,7] and Group B scores are [4,3,5,4,3,4,5]. What's the Cohen's d effect size?”
Marketing campaign response analysis
“We ran two different email campaigns. Campaign A open rates were [22,25,20,23,24] and Campaign B were [30,32,28,31,33]. Calculate Cohen's d to tell me how large the practical difference is between them.”
Technical details
Endpoint
POSThttps://kihustle.tech/agents/api/v1/effect-size-cohens-d?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a quick, cheap ($0.002) programmatic computation of Cohen's d effect size without setting up a local statistics library. Ideal for agents doing automated experiment analysis, A/B test evaluation pipelines, or research workflows where effect size needs to be computed on the fly from raw numeric arrays.
Side effects
- Empty arrays for group_a or group_b may cause computation errors or division-by-zero
- Non-numeric values in the arrays would fail schema validation
- Very small sample sizes may produce unreliable effect size estimates
- Malformed JSON body returns an error response
- Network or server timeout on large arrays
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| group_a | array | |
| group_b | array |
Output
Schema · Response
{
"type": "json",
"example": {
"result": "processed",
"status": "success"
}
}Tags
x402
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