// GLOSSARY -- AGENTIC FINANCE
What is Spending Analytics for AI Agents?
Data-driven insights into agent financial activity — patterns, cost per task, budget utilization, violation trends, and ROI across an agent fleet.
WHY IT MATTERS
Can't optimize what you can't measure. Analytics answers: which agents are cost-efficient? Where's waste? Are patterns healthy? What policies need adjustment?
Key metrics: spend by agent/task/period, cost per completion, utilization, violation frequency, velocity trends, cross-agent efficiency.
Feeds back into policy design — agents at 95% of limits suggest adjustment needed.
HOW POLICYLAYER USES THIS
PolicyLayer provides analytics dashboards — every evaluation and transaction tracked for detailed pattern analysis.
FREQUENTLY ASKED QUESTIONS
Real-time or batch?
Both. PolicyLayer provides real-time dashboards for operational monitoring and batch reports for strategic analysis.
Export data?
Yes — PolicyLayer supports API-based data export for custom analytics pipelines and integration with existing BI tools.
Cost attribution?
PolicyLayer can attribute spending to specific tasks, projects, or business units — enabling true cost accounting for agent operations.