Latency, error, and drift alerts — baked in.
Watch score distributions in real time. Detect feature drift before your fraud rate does.
Scorift API Monitoring is the observability layer for teams that already run fraud scoring at scale. It watches latency, error codes, decision distribution, signal quality, and decision drift — and fires a signed webhook to your on-call tooling the moment something looks off.
Golden signals + fraud metrics
Latency, error rate, throughput plus block/allow/review ratios per route.
Anomaly detection
Baselines learned per merchant, per key, per event type — no manual thresholds.
Decision drift alarms
Score and decision distribution watchers with automatic rollback hooks.
Deep tracing
Every trace_id is queryable end-to-end, from request to decision.
- OTLP export to any OpenTelemetry-compatible backend.
- Signed webhook alerts with automatic retries — route them into whichever on-call tool you already run.
- Per-key SLAs with automated credit calculations on breaches.
- Public status page auto-updated from monitor state.
From event to decision in four steps
Zero-code auto-instrumentation ships with every Scorift SDK — plus OTel for anything custom.
Two weeks of traffic auto-baselines per key, per event type, per geography.
Automated detection flags latency spikes, error bursts, and score-distribution drift.
Signed webhook and email alerts with a link back to the exact trace_ids in question.
Built for every risk moment
Alert when a new model version starts scoring 12% higher than the previous fortnight.
Detect a single key suddenly producing 3× the block rate of its baseline.
Correlate latency and error rates against POP health to isolate blast radius.
Spot rules oscillating between shadow and enforce that need policy attention.
Independently audited and continuously monitored.
Multi-region active-active with graceful degradation.
Every decision ships with a signal breakdown for your analysts.
Talk to a fraud engineer or spin up a sandbox today — no credit card required.