read_ab_test_result

shallow

com.coppica/persuasion-taxonomy · Verify this server

Read the result of an A/B test. You get each version's conversion rate and lift, whether the difference is statistically significant, the confidence interval, and the chance each version really beats the original. It also warns you about the things that make a test result lie. Those include too few conversions, traffic that didn't split the way it should (a sample ratio mismatch), stopping the moment it looked good, and testing too many versions at once. So use it whenever someone shares test numbers, or asks "did my test win?", "is this significant?", "which version won?" or "should I keep it running?"

100.0/100

1 trials · measured 2 days ago

read_ab_test_result scores 100.0/100 on Vouch's measured behaviour index, from 1 real invocation trials against com.coppica/persuasion-taxonomy, measured 6 Oct 2026 under methodology v0.2.0. Every measured component scored 100.

Component breakdown

ComponentWeightValue
Reliability35%not applicable
Schema integrity25%100.0
Failure behaviour15%not applicable
Latency15%not applicable
Concurrency10%not applicable

Tool details

Transport
remote + stdio
Credential class
self-provisionable
Input schema
not declared
Output schema
not declared
Side-effect classification
unclassified

Score history

DayScoreTierMethodology
2026-10-06100.0shallowv0.2.0

Probe evidence

ProbeOutcomes
schema_integritypass: 1

Raw request/response logs are not archived yet — the outcome counts above are drawn directly from every recorded trial.

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Vouch score: read_ab_test_result
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read_ab_test_result — Vouch