Anomaly library

Catalogued anomaly patterns, per domain

ClearOps drafts a corrective-action plan for every flagged anomaly. Each vertical library is the reference for the patterns that surface on streams in that domain — the shape of the event, the severity the detector assigns, and the plan your team will see in the ticket when the same pattern lands in production.

What this index is
The short list of verticals ClearOps ships a library for today. Each entry below opens the catalogued patterns, sample events, and drafted corrective-action plans for that domain.

We ship one vertical at a time — starting with inventory, where the stream-to-system route is unambiguous; extending to customer support operations, where the drafted plan maps cleanly to the on-call and agent-rota playbooks teams already run; and now to financial operations, where period-close, audit-evidence, and AP-disbursement workflows map directly to downstream tickets.

Vertical

Inventory management
Six catalogued anomaly patterns for the inventory domain — low-stockout, SKU velocity drift, supplier delivery lag, dead stock, dead-on-arrival rate, and safety-stock breach — each with the same sample-event shape the demo ingests and a drafted corrective-action plan your team can approve or amend.

Vertical

Customer support operations
Six catalogued anomaly patterns for the support domain — ticket spike, SLA breach, first-response drift, escalations climb, CSAT trend drop, and backlog aging — each with the same sample-event shape the demo ingests and a drafted corrective-action plan your team can approve or amend.

Vertical

Financial operations
Six catalogued anomaly patterns for the financial operations domain — revenue recognition cutoff, expense capitalization drift, related-party journal entries, duplicate vendor invoices, period-end manual-journal clustering, and bank reconciliation lag — each with the same sample-event shape the demo ingests and a drafted corrective-action plan your team can approve or amend.

Each card opens the anomaly catalogue for one operations domain — sample events, the detector's severity assignment, and the corrective-action draft the pilot hands back to your team. Search below to find a specific pattern across all verticals.

Vertical

Inventory management
Six catalogued anomaly patterns for the inventory domain — low-stockout, SKU velocity drift, supplier delivery lag, dead stock, dead-on-arrival rate, and safety-stock breach — each with the sample-event shape the demo ingests and a drafted corrective-action plan your team can approve or amend.

Vertical

Customer support operations
Six catalogued anomaly patterns for the support domain — ticket spike, SLA breach, first-response drift, escalations climb, CSAT trend drop, and backlog aging — each with the sample-event shape the demo ingests and a drafted corrective-action plan your team can approve or amend.

Vertical

Financial operations
Six catalogued anomaly patterns for the financial operations domain — revenue recognition cutoff, expense capitalization drift, related-party journal entries, duplicate vendor invoices, period-end manual-journal clustering, and bank reconciliation lag — each with the sample-event shape the demo ingests and a drafted corrective-action plan your team can approve or amend.