Parallel Web Search

Connects Claude to Parallel's web search API, which is optimized for AI agents rather than humans. You get two main operations: web search that returns cross-referenced facts with provenance, and web fetch for retrieving specific pages. The system flexes compute budget based on query complexity and charges per query instead of per token. Built for production use cases where you need verifiable outputs and can't afford hallucinated search results. They benchmark well on multi-hop questions and time-sensitive queries. SOC-II Type 2 certified, so it's cleared for enterprise deployments. Reach for this when you're building agents that need to research topics deeply or answer questions that require recent web information.