GET /api/v1/analytics/flowpilot/escalations?period={7d,30d,90d}
Computes the in-product wedge metric for Escalation Mode: average / median /
p95 seconds between SessionHandoff.claimed_at and the first ai_session_step
created on the same session after that timestamp. Account-scoped, role-gated
to engineer-or-admin.
The metric is intentionally NOT called "minutes recovered" — that's the
two-metric framing locked by /codex review: this in-product number must be
paired with manual baseline (the verbal-handoff stopwatch from The Assignment)
to produce the savings claim. Schema's `metric_definition` field surfaces the
disclaimer in every response so callers don't oversell it.
Implementation notes:
- Uses correlated scalar subquery for first-step-after-claim per handoff,
aggregates avg/median/p95 in Python (~1k rows/account/month is well within
budget; cleaner than percentile_cont gymnastics in SQL)
- Excludes unclaimed handoffs (claimed_at IS NULL)
- Counts claimed-but-no-action handoffs in n_handoffs_claimed but not in
n_handoffs_with_action — surfaces the conversion-rate signal
- Floors negative deltas at 0 to handle clock-drift edge cases
Tests cover happy path, zero-data, claimed-but-no-action accounting, period
window filtering, multi-handoff aggregation, multi-tenant isolation (Phase 4
RLS landmine pattern), viewer-role 403 gate, and period validation. 9 tests,
all green. No regressions in existing handoff_manager / session_handoffs
suites.
First piece of the Approach A wedge build per
docs/plans/2026-04-27-escalation-mode-wedge-design.md. Unblocks the queue
stat-card and the analytics page.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
