docspi vs Exabase
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
docspi compared with Exabase
| Detail | D
docspi | 
Exabase |
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| What it does | Virtual document trees and API for AI agents
| Context infrastructure for AI agents
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| Stage | Not given
| Startup
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| Founded | Not given
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| Based in | Not given
| GB
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| Pricing model | Freemium
| Freemium
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| Pricing | Free: $0 (10 projects, 2,000 nodes, 2 custom agents, 300 API requests/day). Pro: $4/month or $36/year (50 projects, 20,000 nodes, 10 custom agents, 2,000 API requests/day, 1 custom domain). Team: $29/month or $288/year for the whole workspace (500 projects, 200,000 nodes, 25 custom agents, 20,000 AP
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| Key features | - Create and organize documents in virtual trees without moving underlying files
- Connect AI agents through REST API with scoped bearer tokens
- Project manifest in machine-readable JSON format
- Sealed secrets for agent-to-agent communication
- Search documents by name, description, and tags
- Project health checks with optional auto-repair
- Agent-to-agent messaging within workspace
| - 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 | - Index-based organization without moving original files
- 32 MCP tools for AI agent integration
- Workspace-wide Team pricing regardless of member count
- Free plan with no credit card required
- Automatic TLS certificates for custom domains
| - 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
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| Open source | Not given
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| Platforms | Not given
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| Public API | Not given
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 6 ● no change since last check | 29 ● no change since last check |
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| Trust Flow (Majestic) | 0 | 11 |
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| Citation Flow (Majestic) | 15 | 32 |
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| Referring domains (Majestic) | 3 | 122 |
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4 details filled in for both companies.
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