
Greg Selbo developed an integration of Lexis API Solutions for the azure-ai-foundry/foundry-samples repository, enabling agent-assisted access to LexisNexis data within Azure AI Foundry. He implemented this feature using Python and JSON, providing a script, configuration file, and comprehensive setup instructions to streamline onboarding. The integration included authentication handling and a usage example tailored for agent workflows, supporting decision support scenarios. By focusing on API integration and leveraging OpenAPI standards, Greg established a foundation for future enhancements and governance. His work addressed the need for external data access, delivering a well-structured, review-ready feature without introducing any new bugs.

July 2025 monthly summary focusing on delivering business value through external data access integration and establishing a foundation for agent-assisted decision support within Azure AI Foundry. The primary deliverable this month was the Lexis API Solutions integration for the azure-ai-foundry/foundry-samples repository, providing a pathway to LexisNexis data via a Python script and a JSON configuration, along with setup instructions, authentication details, and an usage example for agents.
July 2025 monthly summary focusing on delivering business value through external data access integration and establishing a foundation for agent-assisted decision support within Azure AI Foundry. The primary deliverable this month was the Lexis API Solutions integration for the azure-ai-foundry/foundry-samples repository, providing a pathway to LexisNexis data via a Python script and a JSON configuration, along with setup instructions, authentication details, and an usage example for agents.
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