Market

The Unitt Market allows developers to publish, distribute, license, and deploy fully tested agentic systems that can be installed and operated as reusable runtime fabrics. Each published system is presented using validated operational metrics such as objective success rates, execution consistency, runtime patterns, simulation outcomes, infrastructure requirements, and estimated token costs, allowing users to evaluate systems based on measurable operational performance rather than prompts alone. The primary optimization goal of every published system is to minimize runtime cost while maximizing reliable and repeatable operational outcomes.

Deployment & Licensing

Users may deploy agentic systems directly from the Unitt Market using multiple licensing and ownership models that define how the runtime may be used, modified, shared, or commercially operated. Systems may be offered as hosted runtimes, managed deployments, shared usage licenses, private ownership licenses, or fully transferable operational fabrics that can be deployed into the purchaser's own infrastructure and vault systems. Deployment workflows validate connectors, tools, runtime policies, governance requirements, and infrastructure dependencies before the system becomes operational.

Private Ownership Model

The agent market supports a private ownership model that allows developers to create and commercially distribute fully operational agent fabrics or specialized runtime systems that produce validated business outcomes. Under this model, the purchaser receives ownership rights to operate the runtime system while the original developer retains entitlement to 80% of the initial purchase price and 5% of the ongoing token consumption costs generated by the deployed system. This structure allows developers to continuously monetize optimized runtime systems while incentivizing efficient execution, reduced operational cost, and long-term runtime performance improvements.

Consulting

Consulting through the Unitt Market is available at request (contact: j@unitt.ai).