Endgame vs WBX Sandbox
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
Endgame compared with WBX Sandbox
| Detail | 
Endgame | WS
WBX Sandbox |
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| What it does | Context graph for AI-native revenue teams
| Secure execution for AI agents in isolated Firecracker microVMs or WebAssembly
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| Stage | Established
| Not given
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| Founded | 2021
| Not given
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| Based in | Not given
| CZ
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| Pricing model | Contact for pricing
| Not given
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| Pricing | Not given
| 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
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| Key features | - One context layer connecting all GTM tools and AI agents
- Agent observability with end-to-end tracing
- Source citations for every answer
- Permission-aware answers scoped to user access levels
- Playbook grounding to enforce business semantics
- Corrections inbox for agent-generated changes
- Integration with Claude, ChatGPT, Slack, Salesforce and other tools
- Open Model Context Protocol (MCP) for any client
- SOC 2 Type II compliance and GDPR/CCPA support
- 140x faster answers via pre-compiled context
| - 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
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| What makes it different | - 40x lower cost through pre-compiled context vs raw data processing
- 98% answer accuracy with no hallucinations through checked data
- Agent-agnostic: works with any AI tool your team uses
- Never trains on customer data with enterprise-grade security
- Set up within days with forward-deployed engineer support
| - Two runtimes with honest isolation labeling
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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
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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) | 48 ▼ −2 (down) since last check | 2 ● no change since last check |
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| Trust Flow (Majestic) | 8 | 0 |
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| Citation Flow (Majestic) | 35 | 0 |
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| Referring domains (Majestic) | 323 | 0 |
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3 details filled in for both companies.
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