Control and bill per-agent AI API spend with automated limits and invoicing

Control and bill per-agent AI API spend with automated limits and invoicing targets a $3.6B = 300K companies building or embedding AI agents × $12K ACV for cost governance and billing tooling total addressable market with medium saturation and a year-over-year growth rate of 35% YoY (industry estimates for generative AI infrastructure and tooling adoption; Gartner & McKinsey reports indicate 30–40% growth in AI operations spend).

Key trends driving demand: Rapid consumption of LLM APIs — teams are using more tokens and models, making API cost a first-order operational concern and creating demand for spend governance.; Rise of autonomous agents and multi-agent frameworks — agents create many autonomous calls with complex attribution needs, which increases the need for per-agent billing and policy controls.; Shift to multi-vendor model strategies — teams mix OpenAI, Anthropic, Cohere, and open models, driving demand for unified cross-provider observability and billing.; FinOps for ML — finance and procurement are demanding clearer cost allocation and chargeback workflows for AI spend, creating buying pressure from non-engineering stakeholders..