Integrating Public Agentic AI APIs with Postman and Put It Forward

Put It Forward offers a comprehensive platform for integrating agentic AI systems into existing business processes, with features designed to streamline workflow orchestration and enhance AI agent functionality. Key features include:

• Process Designer: Allows organizations to map out end-to-end workflows, defining triggers and events for AI agent activation
• Integration Designer: Establishes tight connections between AI agents and underlying systems
• Composable Integration Auto Data Mapper: Automatically maps fields between systems, reducing manual effort
• Delphi Agentic AI Workflows: Incorporates real-time predictive models to optimize decision-making within processes
• Conversational AI agents: Simplify complex data transformations and business rule creation
• No Code and Low Code platform: Enables creation of powerful integrations using natural language, accessible to users without coding expertise
• AI Co-pilot: Understands user needs and assists in building seamless connections between different systems

These features empower businesses to harness the full potential of agentic AI while maintaining operational control and flexibility across their systems, ultimately enhancing efficiency, reducing costs, and delivering rapid insights for data-driven decision-making.

Delphi Agentic AI Interface: For users seeking a more streamlined approach, Put It Forward's Delphi interface provides a user-friendly platform to implement agentic AI workflows.

This method allows for rapid prototyping and deployment of AI agents within business processes, utilizing pre-built connectors and an intuitive design interface to create powerful, intelligent automation without extensive coding knowledge.

API Integration: Developers can leverage Put It Forward's API to create custom integrations, allowing for fine-grained control over AI agent interactions.  This shows you how to test in Postman.

This method enables seamless incorporation of agentic AI capabilities into existing applications and systems, facilitating advanced automation and decision-making processes.

To begin integrating agentic AI APIs, set up your environment in Postman:

• Install Postman from the official website if not already done
• Create a new collection specifically for agentic AI testing
• Establish environment variables for API key and base URL provided by Put It Forward
• Generate a new POST request within the collection
• Input the endpoint URL for Put It Forward's agentic AI test service

Postman collection: json file

Baseurl: https://demo35.putitforward.com 

Token: 990bfaaa-c455-4583-a56e-edd9e6eaac51 

This initial setup lays the groundwork for seamless API integration and testing, allowing developers to efficiently prototype and build AI agents in a collaborative environment. Proper configuration ensures secure access to the test service and streamlines the development process.

When crafting API requests for agentic AI testing, structure your request body with key elements such as input text, context (including task and constraints), and available tools. A basic template might look like:

• Lead management and routing
• Sales forecasting and pipeline management
• Customer data synchronization across platforms
• Personalized email campaigns and follow-ups
• Performance reporting and analytics

{
  "input": "Your command here",
  "context": {
    "task": "Specific goal",
    "constraints": ["Parameters"]
  },
  "tools": [
    {
      "name": "Tool name",
      "description": "Description",
      "parameters": {}
    }
  ]
}

The results contain some critical pieces of data that can be acted on.

    {
        "purchase_prob": 73.48,
        "CustomerEmail": "This email address is being protected from spambots. You need JavaScript enabled to view it.",
        "Region": "Asia",
        "purchase_pred": true,
        "ContactID": "CPUTI000000526162",
        "LeadScore": 95
    },

• Purchase Probability is: the percentage probability that this customer will purchase in the next 96 hours
• Email: the customer email address
• Region: where they are located
• Purchase Prediction: Yes this will purchase
• ContactID: unified contact ID from across systems in PIF
• Leadscore value: the deterministic value of the lead score