DeepResearch offers several customization settings tailored to developers and technical users, including safe search and source preferences. These features allow users to refine their search results based on specific needs, ensuring they receive relevant and appropriate information efficiently. The platform is designed to prioritize precision, which is critical for technical workflows.
Safe Search in DeepResearch functions as a filter to exclude explicit or non-technical content from search results. For example, developers working in regulated environments or educational settings can enable this feature to avoid distractions or inappropriate material. When activated, the filter uses keyword analysis and content categorization to block results from forums or sites known for non-professional content. Users can toggle this setting via the account dashboard or append parameters like safesearch=strict in API requests. This is particularly useful when searching for terms that might have ambiguous meanings in non-technical contexts (e.g., "python" returning programming resources instead of animal-related content).
Source Preferences let users prioritize or exclude specific domains, content types, or repositories. For instance, a developer researching an API integration might prioritize results from official documentation (e.g., docs.github.com) or Stack Overflow, while excluding personal blogs. The platform also supports filtering by date ranges (e.g., results from the last 6 months) or technical depth (e.g., academic papers vs. tutorials). Advanced users can configure these preferences through JSON templates in API integrations, specifying allowed domains or content tags. This granularity saves time by reducing noise—such as outdated tutorials or irrelevant forums—and ensures results align with project requirements.
These customization options are integrated into both the web interface and API, making them accessible for ad-hoc searches and automated workflows. For example, a team could enforce strict source filters across their organization’s DeepResearch API usage to maintain consistency in research outputs. By combining safe search with source preferences, developers can create a tailored environment that enhances productivity and ensures technical accuracy.