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A/B Test Readout Check
x402
A/B Test Readout Check is a paid API for AI agents from api.aiskills402.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-20).
Reviews a written A/B test readout (paragraph, email, table, or slide transcript) and flags up to five specific statistical mistakes that can falsely declare a no-effect test a win.
Price / call$0.01
Success—
StatusUnknown
How this service works
A/B Test Readout Check — Checks the written readout of ONE A/B test (a paragraph, an email, a table or a slide transcript) for the five statistical mistakes that turn a no-effect test into a "win", and lists only those, one line each with a fixed code, the place, the evidence with the arithmetic and the fix - or exactly No findings. It catches stopping the moment a result looks significant, many metrics or variants judged without correction, a split of users that differs from the planned split …
Output
A list of statistical mistakes found in the readout, each on one line with a fixed error code, the location in the text, arithmetic evidence, and a concrete fix — or exactly 'No findings' if the readout is clean. The service checks for: early stopping/peeking, multiple metrics or variants without correction, sample ratio mismatch versus planned split, and related statistical errors.
Example use cases
Audit experiment email before sharing
“Before I send this A/B test results email to leadership, can you check it for the classic statistical mistakes — peeking, undeclared multiple comparisons, sample ratio mismatch — and list any problems with the evidence and the fix? Here's the email text: 'After 5 days, Variant B improved checkout rate by 4% (p=0.03) and also improved add-to-cart and session length, so we're calling it a win.'”
Review slide deck test summary
“I have a slide transcript from our weekly experiment review — can you scan it for statistical errors like stopping early when it looked significant or judging too many variants without correction, and give me a one-line finding per issue with the error code and how to fix it?”
Validate CRO agency test report
“Our CRO agency sent over a table summarising three A/B test variants and declared two winners. Can you review the table text for mistakes like multiple variant comparisons without a correction, a sample split that doesn't match the planned 50/50, or any peeking behaviour, and list only the actual problems found?”
Technical details
Endpoint
GEThttps://api.aiskills402.com/v1/skills/ab-test-readout-check/file?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a focused, codified statistical audit of a single A/B test write-up — particularly to catch peeking, multiple comparison issues, or sample ratio mismatch before results are shared with stakeholders. Prefer it over general-purpose LLM prompting when you need consistent error codes and structured one-line findings rather than free-form commentary.
Side effects
- Input text is too short or lacks enough context to assess statistical validity
- The readout does not contain quantitative results, making statistical checks impossible
- API returns an error if the request payload or headers are malformed
- Service may not detect mistakes in highly ambiguous or incomplete descriptions
- Edge case: if the readout is in a language other than English, detection quality may degrade
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Tags
x402
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