Agent Reference

This page documents the core MuleSoft agents behind the Hushh Agentic Developer APIs.

A2A JSON-RPC 2.0 envelope

{
  "jsonrpc": "2.0",
  "id": "task-124",
  "method": "tasks/send",
  "params": {
    "sessionId": "session-456",
    "message": {
      "role": "user",
      "parts": [
        {
          "type": "text",
          "text": "Provide a detailed JSON profile for Sundar Pichai, email sundar.pichai@example.com, phone +1 6505559001."
        }
      ]
    }
  }
}

Integration flow in Hushh

1. User submits name, email, and phone
2. MuleSoft constructs the JSON-RPC request
3. Agent responds with a userProfile JSON payload
4. DataWeave transforms and stores the profile in Hushh data stores

Error handling

OpenAI Public Data Agent

• Purpose: enrich profiles from public signals
• Model: GPT-4.0 mini
• Proxy endpoint: POST /api/a2a/public
• MuleSoft endpoint: https://hushh-open-ai-agent-app-bubqpu.5sc6y6-3.usa-e2.cloudhub.io/public-data-agent

Sample prompt (Sundar Pichai)

Provide a detailed JSON profile for Sundar Pichai, email sundar.pichai@example.com, phone +1 6505559001.

Sample response (trimmed)

{
  "jsonrpc": "2.0",
  "id": "task-124",
  "result": {
    "sessionId": "session-456",
    "status": {
      "state": "completed",
      "message": {
        "role": "agent",
        "parts": [
          {
            "type": "text",
            "text": {
              "userProfile": {
                "fullName": "Sundar Pichai",
                "phone": "+1 6505559001",
                "email": "sundar.pichai@example.com",
                "city": "Mountain View",
                "occupation": "CEO",
                "dietPreference": "Vegetarian"
              }
            }
          }
        ]
      }
    }
  }
}

Gemini Public Data Agent

• Purpose: high-confidence enrichment and gap filling
• Model: gemini-2.5-pro
• Proxy endpoint: POST /api/a2a/gemini
• MuleSoft endpoint: https://hushh-gemini-ai-agent-app-bubqpu.5sc6y6-3.usa-e2.cloudhub.io/public-data-agent

Supabase Profile Creation Agent

• Purpose: create a structured profile from natural language
• Proxy endpoint: POST /api/a2a/hushh-profile
• MuleSoft endpoint: https://hushh-supabase-agent-app-bubqpu.5sc6y6-2.usa-e2.cloudhub.io/supabase-agent

Example prompt:

Create a profile for Sundar Pichai, email sundar.pichai@example.com, phone +1 6505559001.

Supabase Profile Update Agent

• Purpose: update profile fields with natural language
• Proxy endpoint: POST /api/a2a/hushh-profile-update
• MuleSoft endpoint: https://hushh-supabase-agent-app-bubqpu.5sc6y6-2.usa-e2.cloudhub.io/supabase-agent

Example prompt:

Update the city for Sundar Pichai to Mountain View.

Supabase Profile Query Agent

• Purpose: fetch full profiles from Supabase
• Proxy endpoint: POST /api/a2a/hushh
• MuleSoft endpoint: https://hushh-supabase-query-agent-app-bubqpu.5sc6y6-2.usa-e2.cloudhub.io/supabase-query-agent

Example prompt:

Fetch all details for Sundar Pichai with phone +1 6505559001.

Brand User Data Query Agent

• Purpose: retrieve brand preferences and CRM-ready insights
• Model: GPT-4.0 mini
• Proxy endpoint: POST /api/a2a/brand
• MuleSoft endpoint: https://hushh-brand-agent-app-bubqpu.5sc6y6-4.usa-e2.cloudhub.io/crm-agent

This agent acts as the bridge between brand assistants and CRM data, returning a conversational summary plus structured insights.

Example prompt:

Summarize brand preferences and purchase intents for Sundar Pichai.

Example queries

• Fetch all details for Sundar Pichai with phone +1 6505559001.
• Fetch all intents for Sundar Pichai with phone +1 6505559001.
• Fetch all wants and desires for Sundar Pichai with phone +1 6505559001.
• What is the occupation and education level for Sundar Pichai?