WBX Sandbox vs GitMir

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

WBX Sandbox compared with GitMir
Detail	WBX Sandbox	GitMir
What it does	Secure execution for AI agents in isolated Firecracker microVMs or WebAssembly	AI model of your product's business logic accessible to people and AI agents
Stage	Not given	Not given
Founded	Not given	Not given
Based in	CZ	GB
Pricing model	Not given	Freemium
Pricing	Free plan: no card required, 5 concurrent sandboxes, up to 1 hour per sandbox, one-time welcome credit. Pro: $49.00/month (excl. VAT) with $25.00 usage credit, 25 concurrent sandboxes, up to 24 hours per sandbox, 100 vCPU/100 GB RAM total. Team: $119.00/month (excl. VAT) with $50.00 usage credit, 10	Free: 10,000 starting credits plus 1,000 per month. Engineering: $29 per active developer per month with 30,000 pooled credits each month. GitMir Vibe: $9 per person per month. Cloud Compute: $99 per project per month. MeetAI: $49 per project per month. GoBots: $99 per venture per month. Market: $49
Key features	Isolated Firecracker microVMs with own kernel and filesystem Background jobs that survive disconnects Batch execution with up to 1,000 jobs and dependency passing WebAssembly jobs starting in milliseconds without VM boot Budget Guard with cost reserves and limits Execution receipts with runtime, isolation, resources and file hashes Native MCP server integration for ChatGPT and Claude Compact log digests instead of full 5,000-line logs Server-side job waiting with signed webhooks Verified package cache for PyPI, npm, Go and Rust	Builds features, rules and customer paths and keeps them current with every push Shows what each commit changed in the business logic, not only in the code Provides change impact analysis before merge showing what could break Checks PRDs and specifications against the product Delivers understanding to AI agents over MCP Runs locally on your machine with GMM Local Finds risky patterns and problems in the product Enterprise deployment inside your security boundary Integrates with Claude Code, Cursor, Codex and VS Code MCP access for agents with 1-10 credits per answer
What makes it different	Two runtimes with honest isolation labeling	Nearly 3× fewer errors on Benchmark 001 compared to alternatives 8.4K tokens per question instead of 27.4K for competitors Results published and measurable; method is proprietary Reduces AI cost per completed agent action from $0.35 to $0.08
Free plan	Not given	Not given
Open source	Not given	Not given
Platforms	Not given	Not given
Public API	Not given	Not given
Community votes	0	0
DR (Domain Rating by Ahrefs)	2 no change since last check	27 no change since last check
Trust Flow (Majestic)	0	3
Citation Flow (Majestic)	0	28
Referring domains (Majestic)	0	50

5 details filled in for both companies.

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