Diffbot's Knowledge Graph simplifies access to vast knowledge via data and relations, not text-based search engine.Through the visual tool, the query for news analysis focused on negative news about a product like 'XBox.'The query involved selecting entity type, applying filters like tags.label, language, sentiment score, and date.The subsequent Python code utilized the API call to fetch and display relevant news results.Dynamic date querying was implemented to retrieve recent news articles based on a specified timeframe.The automation process was then built using Pipedream, with scheduled triggers and code steps to fetch and format results.The workflow involved querying the Knowledge Graph API, integrating date logic, and sending formatted email summaries.Future enhancements could include advanced result formatting, color-coding for sentiment, and integrating additional APIs.The article showcases a practical use case of leveraging Diffbot's Knowledge Graph API for automated news analysis.Interested readers can explore the provided code samples and workflows to implement similar solutions.