Anomaly Detection Engine for SaaS Metrics
Flags statistical anomalies in SaaS KPIs — churn spikes, MRR drops, activation dips — with root-cause hypotheses and severity scoring.
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Takes a KPI that moved unexpectedly and reverse-engineers the contributing factors, decomposing the delta into volume, mix, rate, and external components.
Customer Churn Pattern Identifier
Analyzes customer churn data to surface behavioral patterns, timing clusters, and segment-specific churn triggers that precede cancellation by 30-90 days.
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Investigates sudden traffic drops, source-mix shifts, and conversion funnel anomalies with root-cause hypotheses for organic, paid, and referral channels.
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Identifies revenue leakage patterns in billing, pricing, usage, and contract data — discount overuse, failed charge retries, plan-usage mismatches, and unbilled feature consumption.
Token Counter
Real-time tokenizer for GPT & Claude.
Cost Tracking
Analytics for model expenditure.
API Endpoints
Deploy prompts as managed endpoints.
Auto-Eval
Quality scoring using similarity benchmarks.