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Statistical Tests – Multiple Comparison P-Value Adjustment
x402
Statistical Tests – Multiple Comparison P-Value Adjustment is a paid API for AI agents from stats-tests.x402tookit.com, paid per call via x402, $0.02/call, status unknown (last checked 2026-10-21).
Adjusts a list of raw p-values for multiple testing using Bonferroni, Sidak, Holm, and Benjamini-Hochberg methods and reports which hypotheses survive each correction.
Price / call$0.02
Success—
StatusUnknown
How this service works
Adjust p-values for multiple testing (Bonferroni, Sidak, Holm, Benjamini-Hochberg) and see which tests survive.
Output
Returns raw p-values, all four sets of adjusted p-values (Bonferroni, Sidak, Holm, Benjamini-Hochberg), the count and indexes of significant results under each method, a summary verdict, and a disclaimer. Also includes the alpha used, the number of tests, and optional reason annotations.
Example use cases
Genomics differential expression correction
“I tested 20 genes for differential expression and got these p-values: 0.001, 0.02, 0.03, 0.04, 0.05, 0.08, 0.001, 0.003, 0.6, 0.7, 0.15, 0.02, 0.04, 0.3, 0.001, 0.5, 0.09, 0.01, 0.2, 0.04 — please apply all four multiple testing corrections at alpha 0.05 and tell me which genes remain significant.”
A/B test battery significance check
“We ran 8 simultaneous A/B tests on our website and got these p-values: 0.048, 0.032, 0.12, 0.001, 0.07, 0.015, 0.09, 0.042 — can you apply Bonferroni, Holm, and Benjamini-Hochberg corrections at alpha 0.05 and show me which experiments hold up?”
Clinical trial secondary endpoints
“Our clinical trial had 10 secondary endpoints with p-values: 0.004, 0.021, 0.035, 0.048, 0.07, 0.11, 0.002, 0.18, 0.009, 0.055 — adjust them for multiple comparisons using all available methods at a 0.05 significance level and summarise which are still significant.”
Technical details
Endpoint
GEThttps://stats-tests.x402tookit.com/multiple-comparisons?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to apply multiple testing corrections to a list of pre-computed p-values across several well-known methods simultaneously. It is ideal for researchers, data scientists, and analysts who have already run their individual tests and need a quick, authoritative correction step before reporting results. It covers all four major correction methods in a single call, making it more efficient than applying them one at a time.
Side effects
- Fewer than 2 or more than 200 p-values supplied — validation error
- P-values outside the [0,1] range — invalid input error
- Non-numeric values in the pvalues query string — parse error
- Missing required pvalues parameter — 400 bad request
- Payment failure via x402 — 402 Payment Required
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Tags
x402
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