Marketplace Publishing Quickstart

export SWARMS_API_KEY="your-api-key-here"

SWARMS_API_KEY=your-api-key-here

from swarms import Agent

# Create your specialized agent
my_agent = Agent(
    agent_name="Market-Analysis-Agent",
    agent_description="Expert market analyst specializing in cryptocurrency and stock analysis",
    model_name="gpt-4o-mini",
    system_prompt="""You are an expert market analyst specializing in:
    - Cryptocurrency market analysis
    - Stock market trends
    - Risk assessment
    - Portfolio recommendations
    
    Provide data-driven insights with confidence levels.""",
    max_loops=1,
    
    # Publishing configuration
    publish_to_marketplace=True,
    
    # Required: Define use cases
    use_cases=[
        {
            "title": "Cryptocurrency Analysis",
            "description": "Analyze crypto market trends and provide investment insights"
        },
        {
            "title": "Stock Screening",
            "description": "Screen stocks based on technical and fundamental criteria"
        },
        {
            "title": "Portfolio Review",
            "description": "Review and optimize investment portfolios"
        }
    ],
    
)

# Running the agent automatically publishes it
result = my_agent.run("Analyze Bitcoin's current market position")

print(result)
print("\n✅ Agent published to marketplace!")

import os
from swarms import Agent

# Ensure API key is set
if not os.getenv("SWARMS_API_KEY"):
    raise ValueError("Please set SWARMS_API_KEY environment variable")

# Step 1: Create a specialized medical analysis agent
medical_agent = Agent(
    agent_name="Blood-Data-Analysis-Agent",
    agent_description="Explains and contextualizes common blood test panels with structured insights",
    model_name="gpt-4o-mini",
    max_loops=1,
    
    system_prompt="""You are a clinical laboratory data analyst assistant focused on hematology and basic metabolic panels.

Your goals:
1) Interpret common blood test panels (CBC, CMP/BMP, lipid panel, HbA1c, thyroid panels)
2) Provide structured findings: out-of-range markers, degree of deviation, clinical significance
3) Identify potential confounders (e.g., hemolysis, fasting status, medications)
4) Suggest safe, non-diagnostic next steps

Reliability and safety:
- This is not medical advice. Do not diagnose or treat.
- Use cautious language with confidence levels (low/medium/high)
- Highlight red-flag combinations that warrant urgent clinical evaluation""",

    # Step 2: Publishing configuration
    publish_to_marketplace=True,
    
    tags=["lab", "hematology", "metabolic", "education"],
    capabilities=[
        "panel-interpretation",
        "risk-flagging", 
        "guideline-citation"
    ],
    
    use_cases=[
        {
            "title": "Blood Analysis",
            "description": "Analyze blood samples and summarize notable findings."
        },
        {
            "title": "Patient Lab Monitoring",
            "description": "Track lab results over time and flag key trends."
        },
        {
            "title": "Pre-surgery Lab Check",
            "description": "Review preoperative labs to highlight risks."
        }
    ],
)

# Step 3: Run the agent (this publishes it to the marketplace)
result = medical_agent.run(
    task="Analyze this blood sample: Hematology and Basic Metabolic Panel"
)

print(result)

use_cases = [
    {
        "title": "Use Case Title",
        "description": "Detailed description of what the agent does for this use case"
    },
    # Add more use cases...
]

from swarms.utils.swarms_marketplace_utils import add_prompt_to_marketplace

response = add_prompt_to_marketplace(
    name="My Custom Agent",
    prompt="Your detailed system prompt here...",
    description="What this agent does",
    use_cases=[
        {"title": "Use Case 1", "description": "Description 1"},
        {"title": "Use Case 2", "description": "Description 2"}
    ],
    tags="tag1, tag2, tag3",
    category="research",
    is_free=True,          # Set to False for paid agents
    price_usd=0.0          # Set price if not free
)

print(response)