Fixing INVALID_VALUE Errors When Creating Outbound Contact Lists via Genesys Cloud API

How-To-Articles
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Fixing INVALID_VALUE Errors When Creating Outbound Contact Lists via Genesys Cloud API

What You Will Build

  • A robust Python script that creates a valid Outbound Contact List in Genesys Cloud, bypassing common INVALID_VALUE schema violations.
  • This tutorial uses the Genesys Cloud Platform API v2 (/api/v2/outbound/contactlists).
  • The implementation is written in Python using the requests library for explicit HTTP control and debugging.

Prerequisites

Before running the code, ensure you have the following:

  1. Genesys Cloud Organization: An active Genesys Cloud CX organization with the Outbound module enabled.
  2. API Credentials:
    • A Private or Public OAuth Client.
    • The client must be assigned the outbound:contactlist:write scope.
    • Store your client_id and client_secret securely.
  3. Python Environment:
    • Python 3.8 or higher.
    • Install the requests library: pip install requests.
  4. Understanding of Contact List Structure:
    • You must know the column definitions (name, type, label) you intend to use.
    • You must have valid data that matches these definitions.

Authentication Setup

Genesys Cloud uses OAuth 2.0 Client Credentials Grant for server-to-server communication. The first step is obtaining an access token. This token expires after 60 minutes, so in production, you should implement caching and refresh logic. For this tutorial, we will fetch a fresh token each time to keep the example self-contained.

The endpoint for token acquisition is https://login.mypurecloud.com/oauth/token (for US1). Adjust the base URL if you are in EU, AU, or JP.

import requests
import json
from typing import Dict, Optional

GENESYS_BASE_URL = "https://api.mypurecloud.com"
OAUTH_URL = "https://login.mypurecloud.com/oauth/token"

def get_access_token(client_id: str, client_secret: str) -> str:
    """
    Retrieves an OAuth2 access token from Genesys Cloud.
    
    Args:
        client_id: The OAuth client ID.
        client_secret: The OAuth client secret.
        
    Returns:
        The access token string.
        
    Raises:
        requests.exceptions.HTTPError: If the authentication fails.
    """
    headers = {
        "Content-Type": "application/x-www-form-urlencoded"
    }
    
    # The grant_type must be client_credentials for server-to-server
    data = {
        "grant_type": "client_credentials",
        "client_id": client_id,
        "client_secret": client_secret
    }
    
    response = requests.post(OAUTH_URL, headers=headers, data=data)
    
    # Check for HTTP errors immediately
    response.raise_for_status()
    
    token_data = response.json()
    return token_data.get("access_token")

# Example usage (replace with your actual credentials)
# CLIENT_ID = "your_client_id"
# CLIENT_SECRET = "your_client_secret"
# ACCESS_TOKEN = get_access_token(CLIENT_ID, CLIENT_SECRET)

Implementation

The INVALID_VALUE error when creating a contact list usually stems from one of three issues:

  1. Invalid Column Definitions: The columns array contains types not supported by Genesys Cloud, or missing required fields like name or type.
  2. Invalid Contact Data: The contacts array contains objects that do not match the defined columns, or values that violate type constraints (e.g., a string in a numeric field).
  3. Missing Required Fields: The payload lacks name, columns, or contacts (if providing initial data).

Step 1: Define the Contact List Schema

Genesys Cloud requires you to define the structure of your contact list explicitly. The columns array defines the schema. Each column object must have a name (unique identifier), type (data type), and optionally a label (human-readable name) and description.

Supported types include: String, Number, Boolean, Date, DateTime, Time, Email, Phone, Address, URL.

Critical Rule: The name field in a contact object must exactly match the name field in a column definition. Case sensitivity matters.

def build_contact_list_payload(list_name: str, columns: list, contacts: list) -> dict:
    """
    Constructs the JSON payload for creating a contact list.
    
    Args:
        list_name: The human-readable name of the contact list.
        columns: A list of column definition dictionaries.
        contacts: A list of contact dictionaries.
        
    Returns:
        A dictionary ready to be serialized to JSON.
    """
    payload = {
        "name": list_name,
        "description": "Created via API Tutorial",
        "columns": columns,
        "contacts": contacts
    }
    return payload

Step 2: Construct Valid Columns and Contacts

This is where most INVALID_VALUE errors occur. You must ensure that every key in a contact object exists as a name in the columns array. Furthermore, the value provided must match the type defined in the column.

For example, if you define a column of type Phone, Genesys Cloud expects the value to be a valid phone number format (E.164 is recommended). If you define a column of type Number, you cannot pass a string "123"; you must pass an integer 123 or float 123.0.

def create_valid_schema() -> tuple:
    """
    Returns a valid set of columns and sample contacts.
    
    Returns:
        A tuple of (columns_list, contacts_list).
    """
    # Define columns
    # Note: 'type' must be one of the supported Genesys Cloud types
    columns = [
        {
            "name": "firstName",
            "type": "String",
            "label": "First Name",
            "description": "The first name of the contact"
        },
        {
            "name": "lastName",
            "type": "String",
            "label": "Last Name",
            "description": "The last name of the contact"
        },
        {
            "name": "phone",
            "type": "Phone",
            "label": "Phone Number",
            "description": "Primary phone number in E.164 format"
        },
        {
            "name": "email",
            "type": "Email",
            "label": "Email Address",
            "description": "Primary email address"
        },
        {
            "name": "priority",
            "type": "Number",
            "label": "Priority Score",
            "description": "Integer priority level"
        }
    ]
    
    # Define contacts
    # Keys must match column 'name' exactly.
    # Values must match column 'type' exactly.
    contacts = [
        {
            "firstName": "John",
            "lastName": "Doe",
            "phone": "+15550109988",
            "email": "john.doe@example.com",
            "priority": 1
        },
        {
            "firstName": "Jane",
            "lastName": "Smith",
            "phone": "+15550109999",
            "email": "jane.smith@example.com",
            "priority": 2
        }
    ]
    
    return columns, contacts

Step 3: Execute the POST Request

Now we combine the authentication and payload construction to make the actual API call. We will use the requests library to send the POST request to /api/v2/outbound/contactlists.

Required Scope: outbound:contactlist:write

def create_contact_list(access_token: str, payload: dict) -> dict:
    """
    Creates a new contact list in Genesys Cloud.
    
    Args:
        access_token: The OAuth2 access token.
        payload: The contact list payload dictionary.
        
    Returns:
        The JSON response from Genesys Cloud containing the new list ID.
        
    Raises:
        requests.exceptions.HTTPError: If the API call fails.
    """
    url = f"{GENESYS_BASE_URL}/api/v2/outbound/contactlists"
    
    headers = {
        "Authorization": f"Bearer {access_token}",
        "Content-Type": "application/json",
        "Accept": "application/json"
    }
    
    response = requests.post(url, headers=headers, json=payload)
    
    # Log the status code for debugging
    print(f"Status Code: {response.status_code}")
    
    # If the request fails, raise an HTTPError with the response content
    if response.status_code != 201:
        print(f"Error Response: {response.text}")
        response.raise_for_status()
        
    return response.json()

Complete Working Example

This script combines all the previous steps into a single, runnable module. It handles authentication, payload construction, and error handling.

import requests
import json
import sys
from typing import Dict, List, Tuple

# Configuration
CLIENT_ID = "YOUR_CLIENT_ID_HERE"
CLIENT_SECRET = "YOUR_CLIENT_SECRET_HERE"
GENESYS_BASE_URL = "https://api.mypurecloud.com"
OAUTH_URL = "https://login.mypurecloud.com/oauth/token"

def get_access_token(client_id: str, client_secret: str) -> str:
    """Retrieves an OAuth2 access token."""
    headers = {"Content-Type": "application/x-www-form-urlencoded"}
    data = {
        "grant_type": "client_credentials",
        "client_id": client_id,
        "client_secret": client_secret
    }
    
    try:
        response = requests.post(OAUTH_URL, headers=headers, data=data)
        response.raise_for_status()
        return response.json().get("access_token")
    except requests.exceptions.HTTPError as e:
        print(f"Authentication failed: {e}")
        raise

def create_valid_schema() -> Tuple[List[Dict], List[Dict]]:
    """Returns a valid set of columns and sample contacts."""
    columns = [
        {"name": "firstName", "type": "String", "label": "First Name"},
        {"name": "lastName", "type": "String", "label": "Last Name"},
        {"name": "phone", "type": "Phone", "label": "Phone Number"},
        {"name": "email", "type": "Email", "label": "Email Address"},
        {"name": "priority", "type": "Number", "label": "Priority Score"}
    ]
    
    contacts = [
        {
            "firstName": "John",
            "lastName": "Doe",
            "phone": "+15550109988",
            "email": "john.doe@example.com",
            "priority": 1
        },
        {
            "firstName": "Jane",
            "lastName": "Smith",
            "phone": "+15550109999",
            "email": "jane.smith@example.com",
            "priority": 2
        }
    ]
    return columns, contacts

def create_contact_list(access_token: str, name: str, columns: List[Dict], contacts: List[Dict]) -> Dict:
    """Creates a new contact list in Genesys Cloud."""
    url = f"{GENESYS_BASE_URL}/api/v2/outbound/contactlists"
    
    payload = {
        "name": name,
        "description": "Created via API Tutorial",
        "columns": columns,
        "contacts": contacts
    }
    
    headers = {
        "Authorization": f"Bearer {access_token}",
        "Content-Type": "application/json",
        "Accept": "application/json"
    }
    
    try:
        response = requests.post(url, headers=headers, json=payload)
        response.raise_for_status()
        return response.json()
    except requests.exceptions.HTTPError as e:
        print(f"API Error: {e}")
        print(f"Response Body: {response.text}")
        raise

def main():
    # 1. Authenticate
    print("Authenticating...")
    try:
        access_token = get_access_token(CLIENT_ID, CLIENT_SECRET)
        print("Authentication successful.")
    except Exception as e:
        print(f"Failed to authenticate: {e}")
        sys.exit(1)
        
    # 2. Prepare Data
    print("Preparing contact list data...")
    columns, contacts = create_valid_schema()
    
    # 3. Create Contact List
    print("Creating contact list...")
    try:
        result = create_contact_list(access_token, "API Test List", columns, contacts)
        print("Contact List created successfully!")
        print(f"List ID: {result.get('id')}")
        print(f"List Name: {result.get('name')}")
    except Exception as e:
        print(f"Failed to create contact list: {e}")
        sys.exit(1)

if __name__ == "__main__":
    main()

Common Errors & Debugging

Error: 400 Bad Request - INVALID_VALUE

This is the most common error when creating contact lists. The response body will contain a errors array with specific details.

Cause 1: Column Type Mismatch
You defined a column as Number but passed a string value.
Fix: Ensure the JSON value type matches the column definition.

// Incorrect
"priority": "1" // String

// Correct
"priority": 1 // Number

Cause 2: Missing Column Definition
You included a key in the contact object that does not exist in the columns array.
Fix: Add the missing column to the columns array or remove the key from the contact object.

// Contact has 'age', but columns do not define 'age'
"contacts": [
    {
        "firstName": "John",
        "age": 30 // INVALID_VALUE: 'age' is not defined in columns
    }
]

Cause 3: Invalid Phone Format
You defined a column as Phone but passed a non-E.164 format or an invalid number.
Fix: Use E.164 format (e.g., +15551234567). Genesys Cloud validates phone numbers strictly.

Cause 4: Duplicate Column Names
You have two columns with the same name.
Fix: Ensure all name fields in the columns array are unique.

Error: 403 Forbidden

Cause: The OAuth token does not have the required scope.
Fix: Ensure your OAuth Client has the outbound:contactlist:write scope assigned in the Genesys Cloud Admin Console under Setup > Security > OAuth Clients.

Error: 429 Too Many Requests

Cause: You have exceeded the API rate limit.
Fix: Implement exponential backoff. Genesys Cloud returns a Retry-After header in the response.

import time

def post_with_retry(url: str, headers: dict, json_data: dict, max_retries: int = 3) -> requests.Response:
    for attempt in range(max_retries):
        response = requests.post(url, headers=headers, json=json_data)
        if response.status_code == 429:
            retry_after = int(response.headers.get("Retry-After", 2 ** attempt))
            print(f"Rate limited. Retrying after {retry_after} seconds...")
            time.sleep(retry_after)
        else:
            return response
    raise requests.exceptions.HTTPError("Max retries exceeded")

Official References