Hyperresearch vs Nooks
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
Hyperresearch compared with Nooks
| Detail | 
Hyperresearch | N
Nooks |
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| What it does | AI deep research API that checks every cited claim against its source
| Interactive worlds for people and AI to build, learn and solve problems together
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| Stage | Startup
| Not given
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| Founded | 2026
| Not given
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| Based in | US
| Not given
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| Pricing model | Paid
| Free
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| Pricing | Not given
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| Key features | - 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
| - Photo to brick set conversion with 3D preview and parts list
- Workbench for collaborative brick-by-brick editing
- MCP server integration with Claude Code, Codex, Cursor and more
- Build structure checking and validation
- OAuth sign-in with no token storage
- Offline build access with local browser storage
- Export digital manuals and wanted parts lists
- Interactive environments for AI training
- Consent-based human demonstration recording
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| What makes it different | - Every cited claim is verified against the original source before report delivery
- Searches structured sources like SEC filings and scholarly databases alongside the open web in one call
- Delivers answers with word-for-word quotes so readers can verify in one click
- Open-source CLI that powers the hosted service, maintaining feature parity
- Pay-as-you-go pricing with no minimum commitment or sales team required
| - Checked outcomes - part connections and build validity are verified by software before delivery
- Real objects from photos - converts pictures into buildable brick sets with actual parts that exist
- People and AI work on the same design simultaneously within the workbench
- Measurable AI learning with transfer testing across different worlds
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| Free plan | Not given
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| Open source | Not given
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| Platforms | Not given
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| Public API | Not given
| Not given
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 32 ▲ +4 (up) since last check | Not checked yet ● no change since last check |
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| Trust Flow (Majestic) | 13 | 0 |
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| Citation Flow (Majestic) | 31 | 13 |
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| Referring domains (Majestic) | 71 | 2 |
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4 details filled in for both companies.
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