LexisNexis API for Identity Verification and Fraud Prevention

Overview

The LexisNexis API offers programmatic access to a comprehensive suite of data-driven solutions primarily focused on identity verification, fraud prevention, and compliance. Established in 1970 and owned by RELX, LexisNexis has developed extensive datasets, combining public records with proprietary information to provide insights for various business needs. The API is designed for developers and technical buyers within enterprises that require automated, high-volume data analysis to inform critical business decisions.

Developers can integrate LexisNexis solutions to perform real-time identity verification, reducing manual review processes and enhancing customer onboarding. For fraud prevention, the API enables businesses to cross-reference applicant data against a vast repository of historical information and fraud indicators, helping to identify suspicious patterns before they result in financial loss. Compliance checks, particularly for Anti-Money Laundering (AML) and Know Your Customer (KYC) regulations, are supported through access to watchlists, sanctions lists, and politically exposed persons (PEP) data.

The API is particularly well-suited for industries such as financial services, insurance, healthcare, and government, where accurate identity resolution and risk assessment are paramount. For instance, financial institutions can use the API to streamline loan application processes by quickly verifying applicant identities and assessing credit risk. E-commerce platforms can deploy the API to detect fraudulent transactions, while debt collection agencies can leverage public records data for skip tracing and contact verification. The breadth of data available through the LexisNexis API allows organizations to build sophisticated risk models and automate decision workflows, enhancing operational efficiency and regulatory adherence. The API documentation and reference materials are available on the LexisNexis developer portal, providing technical details for integration.

Key features

• Identity Verification & Authentication: Verifies individual and business identities using multiple data sources to confirm legitimacy and reduce impersonation fraud.
• Fraud & AML Solutions: Identifies potential fraud risks by analyzing data patterns, linking disparate records, and screening against global watchlists for Anti-Money Laundering (AML) compliance.
• Due Diligence: Supports enhanced due diligence processes by providing access to comprehensive background information on individuals and entities, crucial for regulatory compliance and risk management.
• Credit Risk Assessment: Delivers data points for evaluating the creditworthiness of individuals and businesses, aiding in lending decisions and mitigating financial risk.
• Public Records Search: Offers access to a vast repository of public records, including court records, property deeds, and business registrations, for investigative purposes and data enrichment.
• Link Analysis: Connects seemingly unrelated data points to uncover hidden relationships and networks, which is valuable in fraud investigations and risk assessments.
• Data Orchestration: Allows for the combination and normalization of various data sources, enabling a unified view for decision-making.

Pricing

LexisNexis offers custom enterprise pricing for its API services. The cost structure is typically based on factors such as transaction volume, specific data points accessed, and the complexity of the integrated solutions. Organizations interested in utilizing the LexisNexis API are required to contact their sales team directly for a tailored quote. There are no publicly available standard pricing tiers or self-service subscription options.

For detailed pricing information and to discuss specific use cases, organizations should visit the LexisNexis contact page to engage with their sales team.

Common integrations

LexisNexis APIs are commonly integrated into various enterprise systems to enhance data-driven decision-making. These integrations often involve:

• CRM Systems: Integrating with customer relationship management platforms like Salesforce to enrich customer profiles with verified identity data and risk scores, aiding in lead qualification and customer onboarding processes.
• Fraud Detection Platforms: Connecting with specialized fraud detection and prevention software to augment their capabilities with LexisNexis's extensive data on fraud indicators and historical patterns.
• Workflow Automation Tools: Embedding API calls into business process automation tools to trigger real-time identity checks or compliance screenings at specific points in a workflow, such as account opening or transaction processing.
• Risk Management Software: Integrating with enterprise risk management (ERM) systems to provide comprehensive data for assessing and monitoring various types of risk, from credit risk to regulatory compliance risk.
• Case Management Systems: For investigative teams, integrating with case management software helps streamline access to public records and link analysis tools, improving efficiency in fraud investigations or due diligence processes.
• Data Warehouses & Business Intelligence Platforms: Feeding LexisNexis data into internal data warehouses or BI platforms for deeper analytics, trend identification, and custom reporting on fraud rates, compliance adherence, and customer demographics.

Alternatives

Organizations seeking alternatives to the LexisNexis API for identity verification, fraud prevention, and data analytics have several options:

• Experian: A global information services company offering credit reporting, marketing services, and fraud and identity solutions, including API access to consumer and business data.
• TransUnion: Provides credit information and risk management solutions, with APIs for identity verification, credit checks, and fraud prevention, serving various industries.
• IDology: Specializes in real-time identity verification and fraud prevention solutions, offering a platform and APIs to verify customer identities during digital onboarding processes.
• Onfido: Offers AI-powered identity verification combined with biometric authentication, focusing on digital onboarding and fraud prevention for online businesses.
• Veriff: Provides an AI-driven identity verification platform that uses video-first technology to verify identities globally, with a focus on user experience and fraud detection.

When evaluating alternatives, it is important to consider factors such as data coverage, regulatory compliance, integration complexity, and pricing models. For instance, while LexisNexis provides extensive public records, some alternatives like IDology focus more on real-time identity verification using a broader set of digital signals and biometrics.

Getting started

To begin integrating with the LexisNexis API, the initial step involves engaging with their sales team to discuss specific use cases and obtain API access credentials. Once an agreement is in place, developers can refer to the developer documentation and API reference for technical details, authentication methods, and endpoint specifications. The APIs typically use RESTful principles and return data in JSON format.

Here's an illustrative Python example using the requests library to make a hypothetical identity verification call. This example assumes you have obtained an API key and an endpoint URL specific to your LexisNexis service agreement:

import requests
import json

# Replace with your actual API key and endpoint URL
API_KEY = "YOUR_LEXISNEXIS_API_KEY"
API_ENDPOINT = "https://api.risk.lexisnexis.com/v1/identity/verify" # Example endpoint

# Define the payload for identity verification
# The actual fields will vary based on the specific LexisNexis API and service
payload = {
    "firstName": "John",
    "lastName": "Doe",
    "dateOfBirth": "1980-01-15",
    "address": {
        "street": "123 Main St",
        "city": "Anytown",
        "state": "CA",
        "zipCode": "90210"
    },
    "requestOptions": {
        "includeRiskIndicators": True,
        "levelOfAssurance": "HIGH"
    }
}

headers = {
    "Content-Type": "application/json",
    "Accept": "application/json",
    "Authorization": f"Bearer {API_KEY}" # Or other authentication method (e.g., custom header)
}

try:
    response = requests.post(API_ENDPOINT, headers=headers, data=json.dumps(payload))
    response.raise_for_status() # Raise an exception for HTTP errors (4xx or 5xx)

    verification_result = response.json()
    print("Identity Verification Result:")
    print(json.dumps(verification_result, indent=2))

    # Example of processing a successful response
    if verification_result.get("status") == "VERIFIED":
        print("\nIdentity successfully verified.")
    elif verification_result.get("status") == "PENDING_REVIEW":
        print("\nIdentity requires manual review.")
    else:
        print("\nIdentity verification failed or inconclusive.")

except requests.exceptions.HTTPError as http_err:
    print(f"HTTP error occurred: {http_err} - {response.text}")
except requests.exceptions.ConnectionError as conn_err:
    print(f"Connection error occurred: {conn_err}")
except requests.exceptions.Timeout as timeout_err:
    print(f"Timeout error occurred: {timeout_err}")
except requests.exceptions.RequestException as req_err:
    print(f"An unexpected error occurred: {req_err}")
except json.JSONDecodeError:
    print(f"Failed to decode JSON from response: {response.text}")

This Python snippet demonstrates how to structure a request including an API key in the authorization header and send a JSON payload. The response, also in JSON, would contain the verification status and any associated risk indicators. Developers should consult their specific LexisNexis API documentation for exact endpoint paths, required parameters, and response structures as these can vary significantly based on the service purchased.