Cisco Unveils Real-Time AI Cost Tracking Feature

Cisco Systems has rolled out a new feature called Tokenomics to its Splunk Agent Observability platform. This innovative capability allows organizations to track AI agent performance, token usage, and costs in real-time.

The move is designed to address the growing concern among enterprises that deploying AI agents at scale comes with significant costs. By providing real-time tracking of token consumption, Tokenomics helps organizations make informed decisions about their AI investments.

Cisco's proprietary time-series forecasting model, the Cisco Deep Time Series Model, is used to project future token consumption levels before the billing period ends. This feature also enables users to compare cost and quality across different models, AI agents, and workflows.