AI Agents & Infrastructure
Hyperresearch
AI deep research API that checks every cited claim against its source
- 0community votes
- 32DR by Ahrefs +4 (up) since last check
- 2026founded
Ahrefs Domain Rating signal 13 Nov 2026, signal shifted 12 Nov 2026.
An AI deep research API that submits a question and returns a reviewed report with every cited claim checked against word-for-word source quotes.
What it is
Hyperresearch is an AI deep research API and web console. Submit a question and receive a reviewed report with every cited claim verified against its source. The service reads widely across scholarly indexes, filing databases and the open web, identifies where evidence disagrees, investigates each disagreement through parallel research paths, and writes the final report in one pass from a section-by-section plan. Every cited claim is checked against the source it cites before the report ships. All sources remain in a searchable, full-text workspace vault for future reference.
Hyperresearch offers two run sizes: Light reports cost $9 and typically contain 20 to 50 sources and 2,500 to 4,000 words completed in 30 to 40 minutes; Deep reports cost $49 and typically contain 150 to 200 sources completed in 3 to 5 hours. The service also provides an Answers MCP (Model Context Protocol) server that integrates with Claude, Cursor, ChatGPT and other MCP clients, allowing AI agents to access research capabilities directly. A separate Answers tool offers quick lookups starting at 5 cents per call for fast answers and 10 cents for standard searches, each checked against word-for-word quotes.
Every account receives $5 of free credit. The company operates on a pay-as-you-go model with no minimum commitment, no seat licenses and no sales team. The first Deep run is free when a card is added to the account.
Systems
- Searches 45+ structured sources including SEC filings, statistics agencies, scholarly indexes, books and government records
- Workspace vault with searchable full-text source storage and independence clustering
- Integrated MCP server for Claude, Cursor, ChatGPT and other clients
- Contradiction mapping identifies and investigates disagreements in evidence
- Automatic report generation with verified citations before shipping
- Citation verification API for external documents
- Markdown import and export for vault documents
- Integrated Answers MCP with ask and search tools for AI agents
Pricing
Pricing model: Paid
Want to see what Hyperresearch does next? Follow them for milestones, new products and stories by email.
Hyperresearch metrics
Signal readout for hyperresearch.ai: Ahrefs Domain Rating and Majestic link signals, arrows for the change since the last scan.
- 32 Domain Rating +4 (up) since last check
- 13 Trust Flow no change since last check
- 31 Citation Flow no change since last check
- 71 Referring domains no change since last check
- 196 External backlinks no change since last check
Ahrefs Domain Rating signal 13 Nov 2026, signal shifted 12 Nov 2026. Strongest signal topic: Computers/Software/Graphics (11). Majestic signal 4 Nov 2026, signal shifted 4 Nov 2026. Link signals from Majestic. Trust Flow, Citation Flow and Topical Trust Flow are trademarks of Majestic-12 Ltd.
Hyperresearch domain signal
Show the signal details
Public RDAP record, last read 11 Nov 2026, 18:15 UTC.
- Domain age 2 months
- Registered
- Expires
- Registrar Cloudflare, Inc
- DNSSEC Not signed
Hyperresearch post-launch signal
The record for Hyperresearch after its launch on Nexora Launch (4 November 2026), from the readings we keep.
- 32 Domain Rating (Ahrefs) +25 (up) since launch
at launch: 7 (4 Nov 2026); latest: 13 Nov 2026 - 13 Trust Flow (Majestic)
first measured 4 Nov 2026 - 71 Referring domains (Majestic)
first measured 4 Nov 2026
Day 8 since launch. Next receipt: day 30, 4 Dec 2026. A change here is a reading, not a claim about its cause; lots of things move these figures. Anything we do not measure is not shown.
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Quick answers
- How much does a Hyperresearch run cost?
- Hyperresearch runs are priced flat per run. Light runs cost $9 and typically contain 20 to 50 sources and 2,500 to 4,000 words, completed in 30 to 40 minutes. Deep runs cost $49 and typically contain 150 to 200 sources, completed in 3 to 5 hours. Every new account receives $5 of free credit and the first Deep run is free when a card is added.
- What sources does Hyperresearch search?
- Hyperresearch searches 45+ structured sources including SEC filings, company registers, statistical agencies, scholarly indexes, books, government records, research funding databases, code repositories and forums. These sources include SEC EDGAR, Companies House, FRED, OpenAlex, PubMed, Open Library, Federal Register, GitHub and others. The service also searches the open web across all queries.
- How are citations verified in Hyperresearch reports?
- Every cited claim in a Hyperresearch report is read against the source it cites and corrected where it does not match. Word-for-word quotes are matched against the pages they came from, and reports cannot ship if they contain hallucinated quotes or unacknowledged retractions. Deep reports include a verification receipt recording which citations were checked and what was found.
- What is the Answers MCP and how does it work?
- Answers MCP is a Model Context Protocol server that integrates Hyperresearch into AI agents like Claude, Cursor and ChatGPT. It provides two tools: ask, which submits one question and returns a short checked answer with word-for-word quotes, and search, which returns ranked sources with matched passages. Ask starts at 5 cents per call in fast mode and 10 cents in standard mode, while search starts at 5 cents per call.
- How is Hyperresearch different from other AI research tools?
- Hyperresearch checks every cited claim against its source before reports ship, preventing hallucinated quotes and false citations. It searches 45+ structured databases including filings and government records in one API call. Every source stays in a searchable workspace vault for future reference, and CLI users get the same open-source pipeline as the hosted service. Benchmarks show Hyperresearch achieves 89% accuracy, outperforming Parallel, OpenAI, Perplexity and Exa.
Hyperresearch has a free listing. The owner can unlock the full profile with a paid launch for $5:
- Founder story (locked)
- Milestones (locked)
- Demo video (locked)
- Dofollow website link (locked)
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