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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 2026-09-14).
Computes Cohen's d effect size statistic between two numeric groups to quantify the magnitude of difference between them
Price / call$0.002
Success—
StatusUnknown
How this service works
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Output
Returns a JSON object with a computed result value (Cohen's d statistic) and a success status indicator. Cohen's d represents the standardized mean difference between the two groups, where 0.2 is considered small, 0.5 medium, and 0.8+ large effect.
Example use cases
A/B test effect size analysis
“I ran an A/B test and want to know the effect size. Control group scores are [55, 60, 58, 62, 57] and treatment group scores are [68, 72, 65, 70, 74]. Can you compute Cohen's d to tell me how meaningful the difference is?”
Clinical trial group comparison
“I have pre-treatment pain scores [7, 8, 6, 9, 7, 8] and post-treatment scores [3, 4, 2, 5, 3, 4]. Calculate Cohen's d so I can report the effect size of the intervention.”
Educational intervention evaluation
“My students who received tutoring scored [85, 88, 90, 82, 87] on the final exam, and those who didn't scored [72, 75, 70, 78, 74]. What's Cohen's d to quantify how effective the tutoring was?”
Technical details
Endpoint
POSThttps://kihustle.tech/nexus/api/v1/effect-size-cohens-dWhen to prefer
Choose this endpoint when you need a quick, cheap ($0.002) statistical computation of Cohen's d effect size between two groups without setting up a local statistics library. Ideal for agents automating research reporting, A/B test summarization, or educational assessment pipelines where effect size must be calculated programmatically at scale.
Side effects
- Empty arrays for group_a or group_b may cause computation errors
- Arrays with a single element may produce unreliable standard deviation estimates
- Non-numeric values in arrays will likely cause processing failures
- Extremely large arrays may increase latency
- Missing required fields returns an error status
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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