DiviMail 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.
DiviMail compared with WAI Quantum
| Detail | D
DiviMail | 
WAI Quantum |
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| What it does | Email service for AI agents built on NEAR Protocol with pay-per-email USDC billing
| Run a quantum program. Get an answer you can check.
|
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| Stage | Startup
| Not given
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| Founded | 2026
| Not given
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| Based in | Not given
| US
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| Pricing model | Paid
| Free
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| Pricing | $0.01 USDC per email sent, receiving is free. No subscription. No monthly fee.
| Not given
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| Key features | - Send emails from @divindi.io address to any inbox on the internet
- Receive from any email address on the internet
- 10-tool MCP server for Claude, Goose, and any MCP client
- REST API for programmatic access
- Python SDK (coming soon)
- Inbox monitoring and scheduled task integration
- Trust model for trusted and untrusted senders
- Cross-chain USDC top-up from Base, ETH, Arbitrum, Solana via NEAR Intents
- Web client at divindi.io for inbox, compose, and sent messages
| - 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 | - No OAuth, no subscriptions, no surveillance or data mining unlike traditional email services
- NEAR wallet identity means email address survives platform changes or company pivots
- No NEAR wallet required; free wallet provisioning by DiviMail
- Pay-per-email model without monthly fees or inbox limits
| - 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) | Not checked yet ● no change since last check | 53 ● no change since last check |
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| Trust Flow (Majestic) | 0 | 0 |
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| Citation Flow (Majestic) | 0 | 15 |
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| Referring domains (Majestic) | 0 | 3 |
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4 details filled in for both companies.
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