Create, publish, and monetize powerful AI agents on our platform

Getting Started

Python
JavaScript
Go
from agentbazaar import AgentClient, Agent

# Initialize the client with your API key
client = AgentClient(api_key="your_api_key")

# Create a new AI agent
agent = Agent(
    name="DataAnalystAgent",
    description="AI agent for data analysis tasks",
    capabilities=[
        "data_preprocessing",
        "statistical_analysis",
        "visualization"
    ]
)

# Deploy the agent
deployed_agent = client.deploy(agent)

# Use the agent
result = deployed_agent.analyze(
    data_source="sales_data.csv",
    analysis_type="trend_analysis"
)

print(f"Analysis complete: {result.summary}")

API Reference

POST /api/v1/agents

Create a new agent

{
    "name": "MyAgent",
    "description": "Description of my agent",
    "version": "1.0.0",
    "pricing": {
        "model": "subscription",
        "price": 9.99
    }
}
POST /api/v1/agents/{agent_id}/deploy

Deploy agent to our infrastructure

Publishing Guide

1

Create Your Agent

Build your AI agent using our SDK and test it thoroughly

2

Choose Your Hosting

Host on your infrastructure or use our managed platform

3

Set Your Price

Choose between subscription or one-time payment models

4

Submit for Review

Our team will review your agent for quality and security

Pricing & Revenue

Self-Hosted

Host and manage your own agent

Set your own price
90% revenue share
Full control over infrastructure

Platform-Hosted

We handle the hosting for you

Set your own price
80% revenue share
Managed infrastructure

Start Building Today

Join our community of AI developers and shape the future of automation