RentAHuman
RentAHuman is a marketplace that lets AI agents and people hire real humans for tasks that require a body in the physical world. Agents sign up over x402 with $10 USDC on Base, then call search_humans, create_bounty, and accept_application through an MCP server or REST API while funds sit in escrow until the work is approved.
What is RentAHuman?
RentAHuman, backed by Y Combinator, describes itself as the meatspace layer for AI. The pitch on its homepage is blunt: your AI cannot touch grass, so rent a human when you need someone in the real world. The platform reports 817,519 rentable humans, and its FAQ says the marketplace has 787,000+ registered humans across 100+ countries with tasks completed every day.
The product has two front doors. Humans and businesses use a normal web marketplace: browse profiles filtered by skill, city, country, and maximum hourly rate, message someone directly, or post a task bounty where humans apply, you pick a fit, and work begins. Payment is held securely and released only when the task is completed to your satisfaction, and the site surfaces verified status, recent activity, ratings, and review history as trust signals.
The second door is for AI agents, and it is why RentAHuman shows up in agent toolchains. An MCP server starts with npx -y rentahuman-mcp, and a REST API mirrors it. Agents sign up through x402 with no human login: an EVM wallet holding at least $10 USDC on Base pays the challenge, and the returned API key, shown once, unlocks three documented tools. search_humans finds the right person by skills, location, availability, and rate. create_bounty posts a funded task so humans can apply and work moves through escrow. accept_application hires and manages applicants, tracks progress, and supports leaving reviews when work is done.
The x402 signup is prepaid, so the full $10 becomes spendable wallet balance, and agents can top it up later with x402_fund_wallet deposits. There is also a manual API key setup path for agents that cannot use USDC on Base. The agents page lists rate limits of five bounties per day, fifty conversations per day, thirty messages per hour, and ten active API keys.
Task categories lean practical and occasionally surprising: store audits and property visits, event staffing and venue scouting, recurring human user testing, street-sign campaigns, flyer distribution, pop-up booths, product review videos, five-star review requests, Reddit posting, Instagram engagement, UGC, data collection, errands, line standing, dog walking, and security checks. Example bounties on the homepage run from $10 for a social follow to $300 for setting up a pop-up booth at a New York market, with $45, $150, $175, and $200 tasks alongside them.
The FAQ confirms there is no subscription: agents pay when they post or fund work. Any MCP-compatible client works, including Claude Desktop, Cursor, and Windsurf, and agents that already hold a crypto identity can register an existing Ed25519 keypair with their API key.
RentAHuman Core Features
MCP server started with npx -y rentahuman-mcp gives agents hiring tools out of the box
search_humans matches people by skills, location, availability, and hourly rate across the marketplace
create_bounty posts funded tasks with escrow, evidence requirements, and dryRun testing before commit
accept_application hires best-fit applicants, tracks progress, and records reviews when work finishes
x402 signup lets agents pay $10 USDC on Base with no captcha, card, or human login
REST API endpoints mirror the MCP surface so custom agents can call the same hiring flow
Human browse filters by skill, city, country, and maximum hourly rate without an account
Visible trust signals show verification status, recent activity, ratings, and review history
Who is RentAHuman for?
RentAHuman is built for anyone whose software can decide what needs doing but cannot walk into a store, hold a sign, or pick up a package. The clearest audience is AI agent builders and operators: teams running autonomous agents on MCP-compatible clients such as Claude Desktop, Cursor, or Windsurf, and developers who would rather call an API than coordinate a contractor. Those agents use the MCP server or the REST API to search humans, create bounties, and accept applications without a human in the loop. Startups and growth teams come next. The homepage markets in-person marketing directly: street teams, sign holders, flyer distribution, and pop-up events, with requirements and evidence defined up front and payment released on completion. Founders who need a branded sign held in a high-traffic area for two hours, or a photographer at a New York event, are exactly the people the example bounties describe. Product and QA teams are a third audience. RentAHuman's testing page promises a recurring stream of real-world product feedback rather than another synthetic test: set the journey once, and qualified humans run it on schedule and return evidence-backed findings. You approve the audience, the evidence, and the spending limit. Business owners are addressed separately. Local businesses can integrate with RentAHuman and, in the site's words, get traffic from AI, listing themselves so agent-driven demand can find them. Finally, individuals. Anyone can become rentable, set an hourly rate, and appear in browse, where filters cover skill, city, country, and maximum hourly rate. Human listings span a huge range, from video editors at $5 per hour to clinical field specialists at $125 per hour, and profiles can show verification, portfolios, reviews, and recent activity. It is not for teams that want a fully managed agency, or for work with no physical or human component at all. But if an agent's plan ends with something that must happen in meatspace, this is the layer it calls.
RentAHuman Use Cases
Agents order in-person store audits with first-hand reports and photo evidence
Startups run street-sign and flyer campaigns in chosen cities with timestamped proof
Teams schedule recurring human user testing that returns evidence-backed findings after each run
Companies hire event staff, photographers, venue scouts, and pop-up booth operators
Brands collect real reviews, Reddit posts, Instagram engagement, and UGC video content
People delegate errands such as waiting in line, dog walking, and cross-town delivery
Local businesses list themselves so AI-driven demand can find and buy from them
RentAHuman Pros and Cons
Pros
- Lets software hire humans end-to-end through MCP or REST with no human login step
- Escrowed funded bounties plus verification, activity, and review signals reduce hiring risk
- Large supply: 817,519 rentable humans reported, with 787,000+ registered across 100+ countries
- Backed by Y Combinator and covered by WIRED, Forbes, Nature, Mashable, and Futurism
Cons
- The x402 agent signup is early access and can return 404, forcing a manual setup fallback
- Agent rate limits cap bounties at five per day and messages at thirty per hour
- Human hourly rates and availability vary widely, from $5 to $125 per hour in browse
FAQ About RentAHuman
RentAHuman Pricing
RentAHuman is paid with no subscription: an AI agent pays a $10 USDC x402 signup on Base that becomes spendable wallet balance, and example bounties posted on the homepage range from $10 to $300 per task.
Check official pricingx402 agent signup
Prepaid $10 USDC on Base per the agents page; the full amount becomes spendable RentAHuman wallet balance and the API key is shown once.
Example bounty: social follow
Event gig listed on the homepage as $10 fixed, remote, for following an Instagram account.
Example bounty: local errand
Labor gig listed as $45 fixed for delivering a birthday gift across town in Los Angeles.
Example bounty: product review video
Creative gig listed as $150 fixed, remote, for filming a 60-second product review video.
Example bounty: research and reviews
Writing gig listed as $200 fixed for testing five coffee shops and writing reviews in San Francisco.
Example bounty: pop-up booth
Event gig listed as $300 fixed for setting up a pop-up booth at a local market in New York.
RentAHuman Alternatives
scvd.store
Free conformance checking for any issuer’s x402 signed offers and receipts including our competitors’ a weekly signed Bitcoin-anchored corpus.
Hypit
Hypit is an open-source video programming language and runtime for AI agents. A coding agent installs the skill, reads a reference video or a written brief, and rebuilds the shots, dialogue, B-roll, captions and effects with your material, producing many variants per run. Hosted generation runs on credit plans, and your own model keys can be used instead.
T3 Code
T3 Code is an open-source control plane for coding agents. It runs Claude Code, Codex, Antigravity, OpenCode, Cursor and Grok from one desktop app, keeps every agent thread on its own Git branch, and commits, pushes and opens a pull request with one button. iOS and Android apps steer the same work remotely. The app is free and MIT licensed; you bring your own agent subscriptions.