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HyperResearch
HyperResearch is a deep research API that generates adversarially reviewed reports with verified citations and a searchable source vault.
Hyperresearch is a deep research API designed to turn questions into comprehensive, cited reports. It operates through structured stages including discovery, investigation, writing, and verification, using parallel investigators and adversarial critique. The system checks every cited claim against full source texts, flags unsupported claims or retractions, and saves all read sources into a persistent, searchable vault for future queries. It supports inputs from public pages, public records, and private documents, and provides outputs including Markdown reports, source lists, and verification receipts. It integrates with AI assistants via a remote Model Context Protocol (MCP) server and offers a REST API for custom pipelines.
HyperResearch at a glance
- Best for: Researcher, Software engineer
- Runs on: Web, API
- Pricing: Pay as you go; Light runs $9 each; Deep runs $49 each; two free Light runs included without a card.
- Released: April 2026
- Category: AI research tool
- Website: hyperresearch.ai
Key features
- Decomposes research questions into structured chapters
- Performs width sweeps and contradiction mapping
- Executes parallel depth investigations on key loci
- Writes complete reports in a single pass from evidence
- Checks cited claims against original sources
- Maintains a persistent, searchable source vault
- Exposes a remote Model Context Protocol server
- Provides a REST API with scoped keys
Use it for
- Generating deep research reports with verified citations
- Checking external documents for citation accuracy and retractions
- Building a searchable knowledge base from web research
- Connecting AI assistants to a persistent research vault
Alternatives to HyperResearch
- OpenResearch — Run parallel research workflows locally or on remote compute.
- AutoResearch — It provides a stateful, reproducible workflow for automated AI research.
- DeepSearcher — Performs evaluation and reasoning based on private enterprise data using various models.
- Exa — Provides high-accuracy web search and deep research endpoints for AI agents.
- Paper2Agent — It enables direct interaction with research papers and automatic result reproduction.
- Hyper-Extract — Extracts complex knowledge graphs and hypergraphs from documents with one command.
- Auto Deep Researcher — Automates experiment operations to reduce manual babysitting of training loops.
- Scite — It uses direct publisher agreements to verify scientific claims with exact source links.
- Keryx — Compensates verified creators directly in USDC for cited sources
- ResearchRabbit — Access over 310 million academic papers and map research fields visually.
- Deepscient — Provides an auditable evidence chain and reproducible experiments.
- ContextWire — Unifies 105 search engines with LLM extraction and zero query cost.
All HyperResearch alternatives