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Sandbox0 vs Exabase

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

Sandbox0 compared with Exabase
Detail Sandbox0Exabase logo Exabase
What it doesCloud agent sandbox with persistent filesystem and on-demand compute Context infrastructure for AI agents
StageMVP Startup
FoundedNot given Not given
Based inUS GB
Pricing modelPaid Freemium
PricingCompute: $0.015 per GiB-hour (approximately $0.000004167 per GiB-second, billed by the second). Storage: $0.02 per GiB-month for retained incremental RootFS data and memory checkpoints. Network ingress and egress currently free. Object-store GET and PUT requests free. New users receive $5 free credi Not given
Key features
  • Automatic filesystem growth as storage fills
  • Pause compute without losing work or paying compute charges
  • Resume to same environment on demand
  • Access files while paused without waking compute
  • Public HTTP services with auto-resume capability
  • Command-line interface (s0 CLI) for agent-native workflows
  • Incremental checkpoints to avoid full filesystem copies
  • Scoped API keys and team-based access controls
  • On-demand file reads without downloading entire filesystem
  • 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
  • Persistent filesystem across pause/resume without duplicating data
  • Pay only for compute time used; paused sandboxes have zero compute charges
  • Automatic filesystem growth so agents can install and persist unlimited tools
  • Same API for both human users and AI agents
  • 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
Free planNot given Not given
Open sourceNot given Not given
PlatformsNot given Not given
Public APINot given Not given
Community votes00
DR (Domain Rating by Ahrefs)16 +1 (up) since last check29 no change since last check
Trust Flow (Majestic)511
Citation Flow (Majestic)2132
Referring domains (Majestic)17122

6 details filled in for both companies.

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