DeepResearch is not designed to handle real-time or dynamically updated information from the web. Its results are based on pre-processed, indexed data from publicly available sources, which are updated periodically rather than continuously. This means it cannot provide live updates, such as breaking news, stock market fluctuations, or social media trends, as they happen. The system relies on scheduled data refreshes, which might occur daily, weekly, or at intervals determined by the types of sources it prioritizes. For example, news articles might be updated more frequently than academic journals, but there will still be a lag between when information is published online and when it becomes available in DeepResearch’s dataset.
The freshness of results depends on the specific data sources and how often they are crawled. For instance, if DeepResearch integrates with news APIs or RSS feeds, it might reflect updates within a few hours. However, for less structured or niche websites, updates could take days or longer. A user searching for information about a major event that occurred within the last hour would likely not find relevant results until the next indexing cycle. Similarly, rapidly changing data like weather forecasts or live sports scores would not be accurately represented. Developers should treat DeepResearch as a tool for analyzing historical or semi-recent data rather than real-time insights.
To work around this limitation, developers can combine DeepResearch with external APIs or custom web scraping solutions for time-sensitive use cases. For example, integrating a live news API alongside DeepResearch’s historical data could provide a hybrid approach. However, this requires additional infrastructure and monitoring to ensure reliability. DeepResearch’s strength lies in its structured, curated datasets, which prioritize accuracy and relevance over immediacy. If real-time data is critical, alternative tools or direct access to live data streams would be more appropriate. Always verify the update frequency of specific data sources within DeepResearch’s documentation to align expectations with its capabilities.