Automated Data Retrieval and API Response Validation Workflow

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This n8n workflow automates the process of generating, validating, and refining data output using AI-powered language models. When initiated manually, it takes a structured prompt asking for the five largest U.S. states by area, each with their top three cities and populations. The workflow leverages OpenAI’s language models to process and generate detailed geographic data. It includes specialized nodes for formatting the prompt, processing the AI’s response, and validating the output against a specific schema. If the response is invalid, an autofixing node interacts with the AI to correct errors in the output, ensuring data integrity. This workflow is particularly useful for dynamically generating and validating complex data summaries or reports, such as geographic or demographic insights, without manual intervention.

Node Count

11 – 20 Nodes

Nodes Used

@n8n/n8n-nodes-langchain.chainLlm, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.outputParserAutofixing, @n8n/n8n-nodes-langchain.outputParserStructured, manualTrigger, set, stickyNote

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