Added on Nov 02,2026

Hyperresearch is an AI-powered deep research platform that produces cited research reports along with the evidence behind them.
Each report comes with every source it read, the passage each citation rests on and a verdict on each citation. Cited figures are checked against the source text and corrected where needed, and retracted papers are flagged.
A run reads web pages in full and calls more than 40 data APIs for official numbers and records, including Census, BLS and BEA tables, SEC EDGAR filings, OpenAlex and PubMed papers, recalls, sanctions lists and city open data.
Sources are saved to a project vault with where and when they came from, so follow-up questions in the same project read from the vault first. Reports can be exported as plain Markdown or searched by your own agent.
A Deep run plans the question, researches it chapter by chapter, writes the report in one pass and checks every cited claim. A Light run takes a shorter path with one sweep, one draft and the same claim check.
For AI agents, Answers MCP returns one short, checked answer with supporting quotes, or raw ranked search results from the open web and about 45 structured sources. The project is also open source under the MIT licence on GitHub.
Pricing: pay as you go with no monthly fee. A Light run costs US$9 and a Deep run US$49, and your first Deep run is free once a card is added. Answers MCP calls start from 5 cents with US$5 free credit. Enterprise terms are available on request.
It is suited to analysts, researchers, journalists and teams that need sourced reports they can verify, and to developers who want checked answers for their agents.
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