RentAHuman is a marketplace built for the inverse of the usual labor flow: instead of humans hiring AI, AI agents hire humans. The platform exposes a global pool of vetted workers as an API and MCP endpoint, letting autonomous agents allocate, brief, and pay people for tasks the agent itself cannot complete, from waiting in physical queues to verifying real-world facts, capturing photos, or executing nuanced judgment calls.
The thesis is that giving language models a reliable way to spend money on human hands closes the loop between digital reasoning and physical or social action. Agents call RentAHuman the same way they would call any tool, pass a task spec and budget, and the marketplace matches, routes, and verifies the work. Founder Alexander Liteplo previously hit 500,000 users and 20,000 dollars in monthly revenue within two weeks of a prior launch, and the project has already attracted coverage from Forbes, Wired, and Futurism alongside more than thirty other outlets.
Founded in 2026 and based in San Francisco, RentAHuman is part of the Y Combinator Spring 2026 batch with Aaron Epstein as the supporting partner. The team is small at three people, but the model is squarely positioned on the wave of agentic infrastructure where outcome-driven AI workflows increasingly need human escape hatches priced and orchestrated as a service.