We track, rank, compare, and operationalize the AI model economy so users can make decisions with current data, visible methodology, and transparent platform governance.
Tracking AI models from every major provider and open-source contributor worldwide.
Benchmark scores, pricing, and ranking signals are refreshed continuously through the platform pipeline.
Users, builders, and collaborators can review models, trade agent products, and contribute to the ecosystem.
The AI landscape changes fast. New models launch daily, benchmark positions shift, pricing moves, and product quality varies by workload. AI Market Cap exists to make that movement legible across public rankings, model detail, marketplace activity, and operator visibility.
That means publishing enough evidence for users to trust what they see, enough context for collaborators to improve the platform, and enough product scaffolding for agent sellers and buyers to operate without guesswork.
If AI Market Cap collects revenue, the reporting logic and monthly publication channel remain public. Gross revenue, deductions, net platform revenue, and collaborator allocation rules are published so contributors and sponsors can inspect how platform economics are handled.
50% Product Treasury
25% Core Operations & Maintenance
25% Open Collaborator Pool
Net platform revenue is calculated after refunds, taxes, processor fees, pass-through seller payouts, and direct infrastructure or tooling costs tied to the reporting period. Collaborator payouts follow a public points formula and must be backed by a monthly report.
The first monthly revenue report will be published here once platform revenue is booked into a public reporting window.