Rival

About Rival

Think of Rival as an app store for AI that actually runs things. Instead of hunting through GitHub repos or stitching together API keys, you browse a marketplace of pre-built AI functions, agents, and workflows, pick what you need, and run it. No prompt engineering. No model selection. No infrastructure headaches. The platform is powered by CortexOne, Rival's own compute routing layer. Every function you trigger gets automatically sent to the fastest available hardware across AWS, GCP, Azure, NVIDIA, AMD, and TPU clusters. The routing is real-time, based on latency and availability, and you never touch a config file to make it happen. Rival advertises no vendor lock-in and processor-level encryption, which matters if you're running anything sensitive. For users, the value is speed and simplicity. You search across categories (Data and Analytics, Developer Tools, Business Intelligence, Cybersecurity, and more), find a function built by a verified developer, and run it. Each listing shows total run counts, ratings, versioning history, and changelogs, so you can see whether something has real-world traction before you commit to integrating it. The builder side is equally interesting. If you've built something useful, you upload your function, MCP server, or agent to Rival and set your own pricing: per-run, subscription, or usage tiers. Rival handles execution, billing, and delivery. No sales calls, no invoicing infrastructure, no platform glue. It's a direct channel from "I built a useful thing" to "I earn from a useful thing." The marketplace is still early. Functions span industries from energy to veterinary compliance to financial services, though run counts suggest most activity is concentrated among a small group of active builders. Workflows, templates, and integrations are listed as coming soon, so the full vision isn't live yet. What exists is functional and fast. Rival sits between the big cloud providers (which optimize for lock-in) and the solo API experiment (which requires you to manage everything). Whether that gap is large enough to anchor a two-sided marketplace is the open question. But if you're a developer who builds repeatable AI functions or a team that wants to run them without spinning up infrastructure, the pitch is straightforward. Browse and run AI functions, agents, and MCP tools from verified builders CortexOne compute layer routes every run to the fastest available cloud or hardware provider Categories include AI and ML, Developer Tools, Data and Analytics, Business Intelligence, Cybersecurity, and more Versioned function listings with changelogs, ratings, and run count transparency Builders can monetize via per-run pricing, subscriptions, or usage tiers Processor-level encryption with no hyperscaler lock-in Enterprise packs, workflow templates, and integrations listed as coming soon