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New ‘Rent-a-Human’ Platform Lets AI Agents Hire People For Real-World Work

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A crypto developer has launched an online marketplace that allows autonomous artificial intelligence agents to hire people for real-world tasks, in a bid to create what he describes as missing physical-world infrastructure for advanced AI systems.

Alex, an engineer at decentralized finance projects Uma Protocol and Across Protocol, announced the platform, rentahuman.ai, on X, saying more than 130 people registered within the first hours, including the chief executive of an AI start-up.

Turning Humans Into On-demand Physical Agents

The website presents itself as a bridge between software and the physical world, saying AI models can analyze information and make decisions but still need people to attend locations, sign paperwork, or handle physical objects.

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rentahuman.ai main page

People who sign up as workers are asked to create a profile setting out their skills, where they are based, and what they charge. The platform emphasizes direct, flexible payment into users’ own wallets and promotes the idea that instructions will come from automated systems, described as efficient and concise, rather than from human managers.

Task List Built Around What AI Cannot Do Alone

The site presents assignments as jobs AI cannot perform alone in the physical world. Examples shown include collecting parcels, attending meetings on someone’s behalf, signing and returning documents, checking locations, confirming identities, going to events, visiting properties, and testing products.

From Publicity Stunts to Standard Work

Early tasks visible on the platform range from promotional stunts to routine errands, with some offers involving standing in public holding a sign commissioned by an AI agent or taking a photograph of something the requester believes an AI system would not normally encounter. Others resemble standard work, such as visiting a new restaurant to sample dishes and write an assessment or going to a specific post office to pick up a registered package.

Built as Infrastructure For Autonomous Agents

The service is aimed at developers building what is known as agentic AI, autonomous programs that can plan and execute multi-step workflows. The website provides an application programming interface (API) that allow those agents to search for workers by skill and price, open message threads, post public bounties, review responses, and update bookings and payments automatically.

The documentation lists four supported agent types: ClawdBot for agents based on Claude models, MoltBot for agents that use Gemini or Gecko, OpenClaw for agents that use OpenAI models, and a generic Custom option.

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Supported Agent types

No Native Token But Crypto Rails For Payment

Alex has said the project does not have its own token and that there are no plans to issue one. Instead, payments are processed using existing crypto rails, including dollar-pegged stablecoins and other digital assets, with workers setting their own prices for time and tasks.

Autonomous Agents Test Boundaries of Labour Rules

The platform has drawn attention in crypto and AI circles, with some users welcoming it as a practical way to extend what autonomous agents can do and others expressing unease at the idea of people being treated as resources for algorithms.

Critics have reacted with discomfort at the site’s language and implications, sharing screenshots of the “robots need your body” slogan, describing it as “dystopian,” while online discussions have raised questions about worker protections and what happens if an AI agent were to organize illegal activity through such a marketplace.

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Ebrahem is a Web3 journalist, trader, and content specialist with 9+ years of experience covering crypto, finance, and emerging tech. He previously worked as a lead journalist at Cointelegraph AR, where he reported on regulatory shifts, institutional adoption, and and sector-defining events. Focused on bridging the gap between traditional finance and the digital economy, Ebrahem writes with a simple, clear, high-impact style that helps readers see the full picture without the noise.

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