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
Start Building Today
Join our community of AI developers and shape the future of automation