deep-research

Cited web research retrieves current real-world information by combining Exa and Parallel APIs to deliver structured output with per-field provenance. This ensures facts about businesses, people, and places are verifiable and not pulled from stale training data.

Current event verification is best handled by querying real-time web sources via integrated research APIs rather than relying on static training data. The dual-provider pipeline ensures fresh results with automatic fallback when initial searches return thin or stale data.

Building a cited travel itinerary with up-to-date opening hours requires querying specific entity workflows for restaurants and attractions. The research pipeline checks for temporary closures and synthesizes current transit notes into a verifiable structured itinerary.

The research pipeline does provide structured data with per-field provenance by utilizing a dual-provider approach. It automatically falls back to the Parallel API when the primary Exa semantic search returns thin or outdated information.

Semantic web search for competitor analysis and entity profiling should be used when you need current, verifiable facts that change frequently. It applies optimized playbooks to profile companies and research papers while avoiding outdated closure information.