Vectoral

Abuse Triage &
Enforcement

From “something's wrong” to “it's handled” without leaving the dashboard.

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A ranked queue of every account, sorted by risk, filterable by tier, label, and subscription. Open one to see its score history, 30-day token/cost rollup, model mix, and the exact signals that fired. Confirm a verdict and block the account in one click. Every label you submit feeds the next nightly retrain, so the model sharpens on your abuse.

Cost & consumption
Token-velocity bursts, robotic timing, instant-first-call after signup, cheap-model concentration, tiny-prompt→huge-completion ratios, 24/7 activity.
Network
Datacenter-IP origin (AWS/GCP/Azure/OVH/Hetzner/…), IP rotation, and sybil clusters (many accounts, one IP).
Behavior
Inter-request gap distributions, session fragmentation, day-of-week diversity (always-on automation vs. human diurnal rhythm).

Capabilities

Risk-ranked account queue + full per-account forensic detail
One-click block / unblock; blocked accounts are denied at /v1/score
Ground-truth labeling (fraud / legitimate) drives per-customer retraining
Live detection log: fingerprint, origin, IP, reasons, raw signals per event