Detect AI agent runaway spend with baseline and 3-sigma alerts

Detect AI agent runaway spend with baseline and 3-sigma alerts targets a $6.0B = 300,000 developer and engineering orgs adopting production AI services x $20,000 ACV. Assumes worldwide organizations with active AI services and nontrivial cloud spend that would pay for dedicated agent spend monitoring. total addressable market with medium saturation and a year-over-year growth rate of 25% to 40% growth in cloud FinOps and ML ops spending due to rising usage-based AI costs and agent deployments.

Key trends driving demand: Autonomous agents adoption -- as more teams deploy agents for tasks like procurement, ops, and automation, unattended consumption grows and creates a repeatable cost control need.; Usage-based LLM pricing -- per-call and per-token billing increases variability in monthly spend, boosting demand for fine grained monitoring and anomaly detection.; Real-time usage telemetry -- LLM providers and orchestration platforms are exposing webhooks and richer logs, enabling near real-time metering and alerts.; FinOps professionalization -- organizations are centralizing cloud cost management and expect integrations that map costs to business entities such as agents..