Search mathlib for formal Lean theorem names and types via Loogle pattern queries or LeanSearch natural language. Use to find declarations for verification.
Search over 494 software products by name, keyword, category, or natural language query to find tools with ratings, pricing, and free plan availability.
Search code repositories semantically using vector embeddings to find relevant code symbols by natural language queries, with optional language filtering.
Enables any MCP-compatible AI assistant to search, filter, and retrieve information from a local document collection using a hybrid search pipeline with vector, BM25, reranking, and LLM enrichment.
Provides tools and resources to detect AI-generated writing patterns and refine text for more authentic, human-like communication. It enables users to analyze phrasing via a scoring system and apply conversational guides tailored for platforms like Twitter and LinkedIn.
Search documents using semantic understanding to find relevant content based on meaning rather than keywords. Understands natural language queries and returns ranked passages with source information.
Query a knowledge graph for relationships and facts using natural language, entity, or relation type. Supports temporal queries and configurable graph depth.
Continue product listing conversations by providing product details in natural language. Use to iteratively describe a product before final submission.
Process natural language queries to obtain structured data on leads, contacts, and opportunities. Supports table, natural, or combined response formats.
Search the web and return results in natural language format using the Exa AI Search API. Provide a clear objective and optional keyword queries to find specific information.