Hyperresearch is an AI-powered research tool designed to help business owners, professionals, and decision-makers generate deeply researched, credible, and fully cited reports. It tackles common challenges like unreliable sourcing, lack of transparency, and the difficulty of keeping knowledge organized across multiple projects. Its core value lies in producing evidence-backed insights with full traceability, backing every claim with its exact source, and maintaining those sources in a searchable vault for future use.
Key Features
Hyperresearch offers two run types: Light and Deep. A Light run is intended for narrower topics and focused questions, using about 20 to 50 sources and lasting around 30 to 40 minutes, whereas a Deep run handles more complex inquiries with about 150 to 200 sources and 3 to 5 hours of work. Both run types include per-claim citation verification and generate a full evidence receipt that records whether each citation is supported, partially supported, or unsupported. It also performs retraction sweeps, ensuring that any cited scholarly work flagged as retracted is noted in the report.
The tool maintains a persistent workspace vault: every source fetched is stored along with metadata like URL, fetch method, provenance, DOI when available, and which run fetched it. The vault supports full-text and semantic search and is designed so that later runs reuse existing sources for efficiency.
Hyperresearch includes an Answers MCP API and toolset for integrating with agents: you can perform raw source searches, retrieving passages verbatim, or checked ask queries that return short answers with citation support or gracefully report when no source is found. It also pulls data from over 40 structured sources, such as SEC filings, government statistical agencies, and scholarly indexes, ensuring that the reports go beyond web search alone.
Security and trust are also emphasized. Hyperresearch only fetches public, logged-out pages; it does not attempt to access paywalled content or require user credentials for external sites. Data retention policies are clear: workspace content stays until manually deleted; verification inputs are deleted seven days after job completion unless requested otherwise. Enterprise customers can request additional data-residency or compliance support.
Pricing
Pricing is usage-based, with clear tiers and no long-term commitments. The base run options are a Light run at nine dollars per run and a Deep run at forty-nine dollars per run. These are the prices for single runs, with no seat license required.
There is also a Team plan at ninety-nine dollars per month. In addition to usage, it offers a 10 percent discount on runs, ten workspaces, ten API keys, and increases in allowances for storage, scholarly lookups, and other metered add-ons.
Hyperresearch operates on a pay-as-you-go default. New users receive two free Light runs with no payment method required, and with a card on file, the first Deep run is free once per account. For regulated or very high-volume usage, there is also an Enterprise arrangement with account-specific pricing.
Who is it for?
Hyperresearch is best suited to businesses and roles that demand rigorous, well-documented research and insight. Strategic planning teams, market analysts, competitive intelligence professionals, and regulatory or compliance officers will find real value in its citation checks and traceability. Content marketers, thought-leadership teams, and research consultants might leverage it for white papers, reports, or data-driven pieces where credibility matters.
For smaller organizations or solo entrepreneurs, the Light-run model offers an affordable way to get well-researched answers without committing to ongoing subscriptions or large investments. Meanwhile, larger enterprises or teams with recurring research needs will benefit from the Team plan’s discounts, expanded capacity, and more robust control.
Final thoughts
Hyperresearch offers a strong combination of transparency, rigor, and practical usability. Its strengths lie in verifying claims, maintaining a searchable knowledge base, and offering flexibility through both single runs and team subscriptions. It's not a tool for fast, casual answers alone but shines when stakes are high and accuracy matters. For decision-makers who require evidence you can verify and reuse, Hyperresearch is a compelling option.
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