Hyperresearch Reviews & Product Details

Hyperresearch is an AI deep research API and web console. One question goes in; the pipeline reads wide, finds where the evidence disagrees, investigates each disagreement, and writes the report in one pass from a section-by-section plan. Every cited claim is checked against its source, retracted papers block shipping, and every source stays in a searchable, full-text workspace vault. Two run sizes. Light takes about 30 to 40 minutes and reads about 20 to 50 sources. Deep takes about 3 to 5 hours, reads about 150 to 200 sources, and ships with a verification receipt. Use it from the web console, the REST API, or the hosted MCP server in Claude, Cursor, ChatGPT and other MCP clients. A standalone citation verification API checks documents Hyperresearch did not write. Hyperresearch Answers is a separate MCP server and API for AI agents: one search tool that layers four web search engines with about 45 structured data sources (company filings, statistics agencies, scholarly indexes, books, government records), and returns answers checked word for word against quoted sources, or "not found". Built on the open-source hyperresearch CLI (MIT), which its founder wrote. Hyperresearch, the AI deep research API at hyperresearch.ai, is unrelated to HyperRESEARCH, the qualitative data analysis software published by ResearchWare, Inc.