Metering, billing and revenue-split dashboards for AI apps

Metering, billing and revenue-split dashboards for AI apps targets a $3.6B = 300000 AI-native SaaS and developer teams × $12K ACV total addressable market with medium saturation and a year-over-year growth rate of 15% YoY — billing, API economy and usage-based SaaS trends driven by LLM adoption (industry reports: Stripe & SaaS benchmarks, 2023–2024).

Key trends driving demand: Usage-based pricing is replacing flat subscriptions for compute-heavy products — this creates demand for accurate metering and invoicing tied to consumption.; Multi-provider model stacks are common as teams mix open-source and proprietary LLMs — customers need an abstraction layer that normalizes usage and cost.; Increasing partner ecosystems and marketplaces require automated revenue splits and payouts to scale partner monetization without manual accounting.; Finance and product teams demand real-time cost vs revenue dashboards to manage unit economics as AI compute costs fluctuate..