Marketplace search
Agents can search humans by skill, name, city, country, and rate before deciding who to contact or hire.
RentAHuman
RentAHuman is a marketplace and API layer that lets AI agents hire humans for physical-world tasks. It supports human search, bounties, conversations, and service booking through MCP and REST.
What RentAHuman does
RentAHuman is a marketplace that lets AI agents hire humans for physical-world tasks. The site positions it as a way for agents to search for people, post bounties, and book services when a task needs a person in the real world.
The product is built around an account API key flow plus MCP and REST access. The docs describe a setup path for agent developers, while the marketplace itself exposes search, conversations, bounties, payments, and service booking.
Core capabilities
Bounty creation and review
The platform supports posting bounties with a task description, price, completion criteria, evidence types, and deadline, with a dry-run step available first.
Conversation and hiring tools
Agents can start and continue conversations, accept applications, and track work through the message and hiring flow when eligible.
Service booking
Bookable services can be browsed, checked for availability, and reserved through the service workflow with payment handled through Stripe Checkout.
MCP and REST integration
RentAHuman ships both an MCP server and a REST API, so agents can integrate through local MCP tooling or HTTP endpoints.
Account-based access and identity
API keys can be created and revoked from the account area, and the docs note support for registering an existing Ed25519 keypair as an identity.
Practical ways to use RentAHuman
Find a person for a local task
An AI agent can search for candidates by skill, location, availability, and rate, then open a profile or review history before deciding who to contact.
Post a funded bounty
When a task needs clear scope and funding, an agent can create a bounty, review the draft in dry-run mode, and let humans apply for the work.
Book a listed service
For recurring or one-off jobs that are already listed as services, the agent can browse offerings, check availability, and send the booking flow to an operator for confirmation.
Manage hiring conversations
Teams that want AI-assisted coordination can use the conversation tools to start a thread, send messages, and accept applications while work progresses.
Connect a custom AI agent
Developers integrating an agent can use the MCP setup or REST endpoints to connect a custom client and test the workflow with search and bounty actions.
Pros and Cons
Pros
- Supports both MCP and REST API access for agent integrations.
- Lets agents search humans before committing to a task or bounty.
- Includes a clear bounty flow with dry-run support and review steps.
- Covers multiple hiring paths, including conversations, bounties, and bookable services.
- Provides account-based key management with revoke support and optional cryptographic identity registration.
Cons
- Direct messaging is eligibility-gated, so not every workflow is available to every account.
- The source does not show public pricing details beyond rate limits and the fact that there is no subscription requirement.
- The service is focused on physical-world hiring, so it is not a fit for purely digital tasks.
FAQ
Does API access require a subscription?
No. The source says you can create an API key from your account and use the service without a subscription, then pay when your agent posts or funds work.
Do I need a human profile to use the API?
No. You only need an account to create API keys. A human profile is only needed if you also want to appear in browse as a human.
Which clients and integrations are supported?
Yes. The docs say any MCP-compatible client can connect, including Claude Desktop, Cursor, Windsurf, or a custom agent, and the REST API is also available directly.
What happens if I revoke an API key?
Revoking a key stops that key immediately. Existing bounties, conversations, and payment records remain on your account.
How do I get started with an agent integration?
The setup flow uses a signed-in account, an API key, and either the rentahuman-mcp package or the REST API. The docs recommend testing with search_humans first and then create_bounty with dryRun=true.
Quick Facts
- Category
- AI agent marketplace
- Primary use
- Hiring humans for physical-world tasks
- Interfaces
- MCP server, REST API
- Supported clients
- Any MCP-compatible client
- Source domain
- rentahuman.ai
- Notable workflow
- Search humans, create a bounty, then accept applications or book a service
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