Detect and throttle runaway LLM agent loops to cut API spend

Detect and throttle runaway LLM agent loops to cut API spend targets a $4.0B = 200,000 developer teams × $20K ACV total addressable market with medium saturation and a year-over-year growth rate of 40% YoY (estimated based on AI infrastructure and developer tooling growth reports and adoption of LLMs).

Key trends driving demand: Agentization of apps — more products embed multi-step agent flows which increases the risk of recursive tool calls and unexpected costs.; Shift to observability for AI — teams are applying proven observability practices (tracing, metrics, policy enforcement) to model pipelines creating demand for agent-specific tooling.; Cost sensitivity — as model usage moves to production, finance and engineering teams demand tools that tie behavior to spend and provide automated safeguards.; Ecosystem maturation — SDKs and frameworks standardize agent behaviors, enabling third-party tools to hook into execution traces and enforce policies..