Automate citation and reference management, aid research with text and data mining, and securely store and share documents.
Hyperresearch
AI-powered research platform that generates evidence-backed reports with full source citations

About Hyperresearch
Hyperresearch produces structured research reports by decomposing questions into research chapters, investigating sources, and writing in a single pass. Each run follows a three-phase process: discovery, investigation, and writing. The platform reads web pages in full and queries over 40 data APIs for official records, including Census, BLS, SEC EDGAR, OpenAlex, and PubMed. Reports include every source consulted, the exact passages cited, and a verification receipt confirming each claim against its source. Users can export reports as plain Markdown or integrate findings into their own agents. Evidence is stored in a personal vault for reuse in follow-up questions within the same project. Two run modes are available: Light for focused questions and Deep for broader investigations requiring multiple research chapters.
Key features
- Decomposes questions into research chapters with required headings
- Conducts contradiction graph analysis to identify opposing claims
- Performs loci analysis to prioritize depth of investigation
- Generates verification receipts for cited claims
- Supports reruns with partial pricing for reused work
- Includes source metadata such as origin and timestamp
- Provides a corpus critic to identify missing evidence
- Offers a Light mode for focused questions and a Deep mode for broader research
Use cases
- Generating evidence-backed reports for policy or regulatory analysis
- Conducting in-depth research for academic or journalistic projects
- Integrating verified research into automated agent workflows
Pros
- Generates reports with full source citations and verification receipts
- Stores evidence in a personal vault for reuse in subsequent queries
- Supports over 40 structured data APIs for official records
- Exports reports in plain Markdown format
- Offers two run modes: Light for focused questions and Deep for broader investigations
Cons
- No free tier beyond the first Deep run
- Pricing is per-run with no seat licenses or bulk discounts
- Requires a credit card to access the first free Deep run
- Limited to English-language research
Frequently asked questions about Hyperresearch
What does Hyperresearch do?
Hyperresearch produces structured research reports by decomposing questions into research chapters, investigating sources, and writing in a single pass. It reads web pages in full and queries over 40 data APIs for official records, including Census, BLS, SEC EDGAR, OpenAlex, and PubMed.
Who is Hyperresearch designed for?
Hyperresearch is designed for researchers, analysts, and agents that require thorough, evidence-backed reports. It suits users who need verified citations, structured outputs, and reusable evidence storage for follow-up investigations.
How does Hyperresearch verify its sources?
Every citation in a Hyperresearch report is checked against its source, with a verification receipt confirming each claim. Cited figures are validated, and retracted papers are flagged to ensure accuracy before the report is finalized.
Can Hyperresearch integrate with other tools or agents?
Yes, users can export reports as plain Markdown or integrate findings into their own agents. Hyperresearch also offers Answers MCP, which provides a single checked answer for agents, eliminating search loops and context filling.
What are the two run modes available in Hyperresearch?
Hyperresearch offers two run modes: Light for focused questions, which follows a streamlined process, and Deep for broader investigations requiring multiple research chapters and a more rigorous approach.
How does Hyperresearch store and reuse evidence?
Hyperresearch stores evidence in a personal vault, where each source is saved with its origin, timestamp, full text (where legally available), and exact quotes behind each claim. Follow-up questions in the same project can reuse this stored evidence.
Hyperresearch traffic & engagement
hyperresearch.ai · third-party estimates from Similarweb
Where visitors come from
Share of visits by channel
No measurable traffic from Paid Referrals.
Top countries
Share of visits · estimated visits
Compared with similar tools
Productivity & Office · Sep 2026
Traffic figures are third-party estimates, good for scale and trends; they can differ from a company's own numbers. Updated monthly.