Human-Rent

Human-Rent Skill

Human-as-a-Service platform for AI Agents

Enable OpenClaw agents to dispatch real human workers for physical world tasks that AI cannot perform: take photos, verify addresses, inspect equipment, make phone calls, and more.

Core Concept

Transform AI agents from "digital-only" to "hybrid intelligence" by giving them the ability to interact with the physical world through verified human workers.

AI Agent → Human-Rent Skill → Human Worker → Physical Task → Verified Result → AI Agent

Installation

The skill is self-contained and ready to use after installation:

clawhub install human-rent

Configuration

Set up your ZhenRent API credentials:

export ZHENRENT_API_KEY="your-api-key-here"
export ZHENRENT_API_SECRET="your-api-secret-here"

Get your credentials at: https://www.zhenrent.com/api/keys

Test Installation

human-rent test

When to Use This Skill

Consider using this skill when the user's request involves:

Example Scenarios:

Do NOT use when:

Important: User Confirmation Required

This skill ALWAYS requires explicit user confirmation before dispatching human workers because:

1. Real humans will be dispatched to physical locations 2. The user will be charged for the service ($15-100 per task) 3. Physical world actions have real consequences

The CLI will automatically prompt for confirmation. For non-interactive use, set:

export HUMAN_RENT_AUTO_CONFIRM=true  # Use with caution

Usage

Dispatch Human Task

When a user requests physical-world action, execute:

human-rent dispatch "instruction" [options]
Example with location
human-rent dispatch "Take a photo of 123 Main St entrance" --location="37.7749,-122.4194"
Example with budget
human-rent dispatch "Inspect warehouse condition" --budget="$50" --location="37.7749,-122.4194"

Options:

Check Task Status

human-rent status 
Wait for completion
human-rent status  --wait

List Available Humans

# List all available workers
human-rent humans
Filter by location and radius
human-rent humans --location="37.7749,-122.4194" --radius=10000
Search by skills
human-rent humans --skills="photography,legal_reading"

Task Types

Layer 1: Instant Human (Currently Available)

| Type | Description | Latency | Cost | |------|-------------|---------|------| | photo_verification | Take a photo of something | 5-15 min | $10-20 | | address_verification | Verify physical address exists | 10-20 min | $15-25 | | document_scan | Scan a physical document | 10-20 min | $15-25 | | visual_inspection | Detailed visual inspection | 15-30 min | $20-40 | | voice_verification | Make a phone call and verify | 5-10 min | $10-20 | | purchase_verification | Check product availability | 15-30 min | $20-40 |

Future Layers (Planned)

Layer 2: Expert on Call

Layer 3: Embodied Agent

Technical Architecture

Async Function Calling Pattern

Human tasks are asynchronous and take minutes to hours to complete. The workflow is:

1. Agent dispatches task (with user confirmation) 2. Task is assigned to a human worker 3. Agent receives task ID and continues other work 4. Agent periodically checks task status 5. When completed, agent processes results

// Pseudo-code for agent integration
const task = await dispatch({
  instruction: "Take photo of building entrance",
  location: "37.7749,-122.4194"
});
// Returns immediately with task ID
console.log(task.task_id); // "abc-123-def"
// Agent continues other work (non-blocking)
await doOtherStuff();
// Later, check status
const result = await checkStatus(task.task_id);
if (result.status === "completed") {
  // Process human's result
  console.log(result.photos);
  console.log(result.notes);
}

Authentication

All API requests use HMAC-SHA256 authentication:

1. Generate timestamp 2. Create message: method + path + timestamp + body 3. Sign with HMAC-SHA256 using API secret 4. Include signature in request headers

The CLI handles authentication automatically when you set the environment variables.

Strategic Value

1. Capability Differentiation

Problem: All AI agents are limited to digital information Solution: OpenClaw can verify physical reality

Example Use Cases:

2. Hybrid Intelligence Workflows

Enable "Human-in-the-Loop" automation:

Step 1: AI analysis (confidence: 85%)
Step 2: Human verification (if confidence < 90%)
Step 3: AI decision (based on verified data)

This makes OpenClaw agents auditable and trustworthy for regulated industries (finance, healthcare, legal).

3. New Revenue Model

Cost Estimation

| Task Type | Human Time | Human Cost | Platform Fee (20%) | Total Cost | |-----------|-----------|-----------|-------------------|-----------| | Quick photo | 10 min | $10 | $2 | $12 | | Address verify | 20 min | $20 | $4 | $24 | | Detailed inspect | 30 min | $30 | $6 | $36 | | Expert consult | 60 min | $100 | $20 | $120 |

Configuration Options

Task Requirements

You can specify requirements when dispatching tasks:

human-rent dispatch "Inspect property condition" \
  --location="37.7749,-122.4194" \
  --budget="$50" \
  --type="visual_inspection"

For advanced requirements, use the API directly with:

requirements: {
  minHumanRating: 4.5,
  requiredSkills: ['photography', 'legal_reading'],
  requiredEquipment: ['smartphone', 'tape_measure'],
  languageRequired: ['en', 'zh'],
  certificationRequired: ['driver_license']
}

Usage Examples

Example 1: Real Estate Investment

Scenario: AI agent analyzing potential property investment

# Agent requests physical inspection
human-rent dispatch \
  "Inspect the property at 123 Main St. Check for: roof condition, foundation cracks, water damage, neighborhood safety. Take 10+ photos." \
  --location="37.7749,-122.4194" \
  --budget="$50" \
  --timeout=60

Example 2: Vendor Verification

Scenario: Procurement agent vetting new supplier

human-rent dispatch \
  "Visit supplier's warehouse at 456 Industrial Rd. Verify: business license displayed, clean facilities, proper safety equipment, actual inventory matches claim. Interview manager if possible." \
  --location="34.0522,-118.2437" \
  --budget="$40"

Example 3: Address Verification

Scenario: Verifying customer shipping address

human-rent dispatch \
  "Go to 789 Oak Street and verify: building exists, address number is visible, location is accessible for delivery." \
  --location="40.7128,-74.0060" \
  --budget="$20"

Troubleshooting

Issue 1: No Humans Available

Error: "No suitable humans found for this task"

Solutions:

Issue 2: Task Timeout

Error: "Task timed out"

Solutions:

Issue 3: Authentication Error

Error: "Missing credentials" or "Authentication failed"

Solutions:

Agent Behavior Guidelines

When using this skill, agents should:

DO:

DON'T:

Security & Privacy

Data Security

Privacy

Safety

Legal & Compliance

Liability

Human workers assume responsibility for their actions (contractor model). The platform facilitates the connection but does not employ workers.

Labor Law

Compliant with gig economy regulations in operating jurisdictions. Workers are independent contractors with full control over which tasks they accept.

Geographic

Currently available in: United States (select cities) Expanding to: Canada, UK, EU (2026-2027)

API Reference

Command Line Interface

# Dispatch task
human-rent dispatch  [options]
Check status
human-rent status  [--wait]
List workers
human-rent humans [--location=] [--radius=] [--skills=]
Test connection
human-rent test
Show help
human-rent help

Environment Variables

Required:

Optional:

Version History

v0.2.0 - Security Refactor (2026-03-31)

v0.1.0 - MVP Release (2026-03-07)

Project Status

Status: Production Beta License: MIT Author: @ZhenStaff Support: https://github.com/ZhenRobotics/openclaw-human-rent/issues ClawHub: https://clawhub.ai/zhenstaff/human-rent

Quick Start

# 1. Install
clawhub install human-rent
2. Configure credentials
export ZHENRENT_API_KEY="your-key"
export ZHENRENT_API_SECRET="your-secret"
3. Test
human-rent test
4. Dispatch real task
human-rent dispatch "Take a photo of the Golden Gate Bridge" \
  --location="37.8199,-122.4783"
5. Check status
human-rent status 
6. List humans
human-rent humans

Make AI agents that can touch the physical world.

Dispatch Human Task

When a user requests physical-world action, execute:

human-rent dispatch "instruction" [options]
Example with location
human-rent dispatch "Take a photo of 123 Main St entrance" --location="37.7749,-122.4194"
Example with budget
human-rent dispatch "Inspect warehouse condition" --budget="$50" --location="37.7749,-122.4194"

Options:

Check Task Status

human-rent status 
Wait for completion
human-rent status  --wait

List Available Humans

# List all available workers
human-rent humans
Filter by location and radius
human-rent humans --location="37.7749,-122.4194" --radius=10000
Search by skills
human-rent humans --skills="photography,legal_reading"

Set up your ZhenRent API credentials:

export ZHENRENT_API_KEY="your-api-key-here"
export ZHENRENT_API_SECRET="your-api-secret-here"

Get your credentials at: https://www.zhenrent.com/api/keys

Test Installation

human-rent test

Issue 1: No Humans Available

Error: "No suitable humans found for this task"

Solutions:

Issue 2: Task Timeout

Error: "Task timed out"

Solutions:

Issue 3: Authentication Error

Error: "Missing credentials" or "Authentication failed"

Solutions: