Leadsets vs Exabase
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
Leadsets compared with Exabase
| Detail |
Leadsets |
Exabase |
| What it does | Not given
| Context infrastructure for AI agents
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| Stage | Not given
| Startup
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| Founded | Not given
| Not given
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| Based in | US
| GB
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| Pricing model | Freemium
| Freemium
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| Pricing | Not given
| Not given
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| Key features | - Search people by title, function, seniority, location, company size, tech and industry
- Search and enrich companies by domain, headcount, industry, tech stack and hiring signals
- Scrape careers pages and company homepages for open roles, products and pricing
- Match reasons and freshness dates on every record
- Works with Claude, ChatGPT, Cursor and any MCP client
- REST API with TypeScript and Python SDKs
- Field-level checked_at and verified_at dates
- Source and data-rights metadata on every field
- Free SKILL.md playbooks for GTM workflows
| - 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 | - Flat monthly pricing with no per-record charges or credits
- Fair-use limits visible in every API response, not hidden behind a dashboard
- Records count only when data is returned, empty searches use no records
- First useful result in under five minutes, no lengthy onboarding
- Opt-out honored and suppression data managed by the company
| - 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 |
| DR (Domain Rating by Ahrefs) | Not checked yet ● no change since last check | 29 ● no change since last check |
| Trust Flow (Majestic) | 0 | 11 |
| Citation Flow (Majestic) | 0 | 32 |
| Referring domains (Majestic) | 0 | 122 |
4 details filled in for both companies.
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