Stop agent tool loops from blowing API budgets via cost-aware orchestration

Stop agent tool loops from blowing API budgets via cost-aware orchestration targets a $6.0B = 500K AI app teams × $12K ACV total addressable market with medium saturation and a year-over-year growth rate of 35% YoY (IDC/Forrester forecasts for AI infrastructure and API spending).

Key trends driving demand: Agent adoption — More production teams are adopting agent patterns and tool-calling which directly increases API usage and creates cost predictability pain.; API cost sensitivity — As LLM and tool calls are metered, finance and engineering teams push for predictability, creating demand for cost-control tooling.; Runtime observability — Instrumentation of model and tool calls is becoming standard, enabling sophisticated enforcement and optimization at the runtime layer.; Model heterogeneity — Teams deploy multiple models and can benefit from intelligent substitution (cheaper models for non-critical steps), enabling product opportunities..