withHuman vs WAI Quantum
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
withHuman compared with WAI Quantum
| Detail | 
withHuman | 
WAI Quantum |
|---|
| What it does | The approval layer for AI agents
| Run a quantum program. Get an answer you can check.
|
|---|
| Stage | Not given
| Not given
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| Founded | Not given
| Not given
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| Based in | US
| US
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| Pricing model | Freemium
| Free
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| Pricing | Open Source: free and self-hosted. Free: $0/month hosted plan with up to 5 members. Scale: $20 per user per month. Enterprise: Custom annual contract.
| Not given
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| Key features | - Tool call interception for all agent frameworks
- Automatic approval rules to prevent fatigue
- AI judge for complex rule evaluation
- Works with LangGraph, CrewAI, Mastra, Claude Agent SDK and more
- Open Agent Approval Protocol for framework independence
- Self-hosted or cloud-hosted deployment options
- Custom permission policies and organization controls
| - Multiple simulation methods including state vector, stabilizer tableau, matrix product state, and tensor network
- Automatic method selection based on circuit requirements
- Measurement counts, expectation values, and amplitude extraction
- Noise simulation with depolarizing, amplitude damping, and dephasing channels
- Cryptographically signed receipts for result verification
- Model Context Protocol integration for agent access
- Browser-based execution and service-based execution
- Desktop app and command-line interface availability
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| What makes it different | - Framework-agnostic: works with any AI agent through the open Agent Approval Protocol
- No vendor lock-in: open source spec and SDKs let you swap providers without rewriting agents
- Comprehensive audit trail for accountability and compliance
- Meets reviewers where they work with multi-platform notifications
- Policy-based routing to eliminate approval bottlenecks
| - No account and no API key required to use the service
- Automatic explanation of which simulation method was chosen and why
- Signed receipts allow verification of results by anyone
- Integrated with Model Context Protocol for AI agent access
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 30 ▼ −1 (down) since last check | 53 ● no change since last check |
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| Trust Flow (Majestic) | 6 | 0 |
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| Citation Flow (Majestic) | 28 | 15 |
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| Referring domains (Majestic) | 48 | 3 |
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5 details filled in for both companies.
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