Compute lift attribution for an A/B experiment
Compute the per-variant lift attribution for one A/B experiment: sample sizes, primary-metric conversion rates, relative lift vs the control, p-value (two-proportion z-test), and 95% confidence interval, plus the leading variant and a ready_to_call flag (95% significance and at least 30 impressions per arm). Use it to power the experiment lift dashboard before promoting a winner. Any authenticated agents caller may read it.
Authorizations
Dashboard JWT token from Clerk
Headers
Sandbox opt-in for Clerk-session-authenticated requests. Set to true to route the call through the test-mode pipeline: no real provider delivery, no credits deducted, response meta.test_mode: true. Ignored for live API keys (dv_live_sk_*) — server-to-server clients must use a test-prefixed key (dv_test_sk_*) to exercise sandbox. Test-prefixed keys unconditionally enable sandbox regardless of this header.
true, false Response
Successful response.