Executive Summary

Many SaaS and AI-first development teams (roughly 1.2M globally) struggle with metered billing, per-call/token cost attribution, and automated revenue splits when building marketplaces or multi-contributor products, which causes billing disputes, manual reconciliation work, and unseen margin leakage. Engineering and finance teams lack real-time dashboards that link customer usage to model costs, so they often underprice features or get hit with surprise invoices. Build a developer-first platform that provides metered billing, granular usage tracking, automated revenue-split rules and payout rails, plus low-latency dashboards and reconciliation tooling that integrate with payment processors and major model providers. Expose simple APIs and SDKs that emit cost-attributed events, include pre-built split templates and configurable alerts to prevent margin erosion. The market is ready — a $3.6B addressable market (1.2M teams × $3K ACV), widespread adoption of usage-based pricing, and rising AI marketplaces create clear demand for a standardized billing and reconciliation stack. You can stand out by delivering true real-time cost attribution, turnkey revenue-split automation, and a frictionless developer UX (SDKs, webhooks, prebuilt integrations) that cuts implementation time to days, not months. Expect challenges around integrating varied model billing APIs, cross-border payout compliance, and competition from established billing platforms, so plan to invest early in multi-provider integrations, security/ops, and strong developer documentation.

Market Opportunity

Metered billing, revenue-splits and dashboards for AI apps targets a $3.6B = 1.2M SaaS and AI-first app dev teams × $3K ACV for billing and reconciliation tooling total addressable market with medium saturation and a year-over-year growth rate of 11% CAGR (market research for subscription & billing platforms and growth of API-first monetization; sources include industry reports and payments research).

Key trends driving demand: Usage-based pricing is mainstream — more SaaS and AI products price per-call or per-token, increasing demand for metered billing infrastructure.; Marketplace and contributor models are rising — platforms that sell models, prompts, or AI services need automated revenue splits and payout tooling.; Real-time cost visibility is required — engineering teams demand immediate feedback linking customer usage to model costs to avoid margin erosion.; API-first developer tooling adoption is accelerating — teams prefer SDKs and webhooks over enterprise integrations, lowering time-to-value for new platforms..

Key competitors include Stripe, Chargebee, Paddle, Recurly.

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Metered billing, revenue-splits and dashboards for AI apps

Executive Summary

Market Validation

Market Opportunity

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