Levee vs Exabase
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
Levee compared with Exabase
| Detail | 
Levee | 
Exabase |
|---|
| What it does | Authorization layer for AI agent spend with human-approved mandates and tamper-evident proof
| Context infrastructure for AI agents
|
|---|
| Stage | Startup
| Startup
|
|---|
| Founded | 2026
| Not given
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| Based in | Not given
| GB
|
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| Pricing model | Free trial
| Freemium
|
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| Pricing | Free 12 week pilot for card issuing platforms
| Not given
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| Key features | - Passkey-signed spend mandates with purpose, budget, merchants, and time windows
- Real-time authorization decisions with sub-1 second response time at p99
- Human challenge via passkey step-up for exceptional spend
- Fail-closed payment processing if no decision arrives in time
- Hash-chained evidence ledger with tamper-evident records
- Exportable evidence packs for chargebacks and audits
- Supports card, wallet, x402 and stablecoin payment rails
| - 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
|
|---|
| What makes it different | - Human-approved mandates enforce intent, not just static limits or merchant category blocks
- Operates outside the agent in the issuer's authorization path, preventing agent bypass or override
- Creates tamper-evident audit trail linked to agent identity, run, and policy version
- Never holds funds or issues cards; integrates with existing issuer infrastructure
- Single mandate and policy core across multiple payment rails and issuers
| - 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) | Not checked yet ● 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) | 0 | 32 |
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| Referring domains (Majestic) | 0 | 122 |
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5 details filled in for both companies.
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