Hyperresearch vs Exabase
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 Exabase
| Detail | 
Hyperresearch | 
Exabase |
|---|
| What it does | AI deep research API that checks every cited claim against its source
| Context infrastructure for AI agents
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| Stage | Startup
| Startup
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| Founded | 2026
| Not given
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| Based in | US
| GB
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| Pricing model | Paid
| Freemium
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| Pricing | Not given
| 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
| - Memory system with self-managing advanced memory
- Isolated per-tenant instances with version rollback
- Portable context server with files, notes and links
- Sub-document multi-modal hybrid search
- Structured data extraction from PDFs, websites and images
- Autonomous agents for knowledge base automation
- 99.9% uptime SLA
- AES-256 encryption at rest and SSL in transit
- TypeScript SDK and REST API
- Model-agnostic and framework-agnostic
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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
| - Cut token spend by up to 81% through persistent agent memory instead of full context window stuffing
- State-of-the-art on two leading AI memory benchmarks
- Full-stack data layer eliminating need for multiple services
- Production-tested at scale powering Fabric platform
- Self-improving memory that tracks relationships and resolves contradictions
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| Free plan | Not given
| Not given
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| Open source | Not given
| Not given
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| Platforms | Not given
| 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 | 29 ● no change since last check |
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| Trust Flow (Majestic) | 13 | 11 |
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| Citation Flow (Majestic) | 31 | 32 |
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| Referring domains (Majestic) | 71 | 122 |
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6 details filled in for both companies.
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