Recurse vs Provared
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
Recurse compared with Provared
| Detail |
Recurse |
Provared |
| What it does | Build and deploy Agent MCP Apps
| Proof of what an AI agent was allowed to do, and what it then did
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| Stage | Growing
| Startup
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| Founded | Not given
| 2026
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| Based in | Not given
| Not given
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| Pricing model | Paid
| Open source
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| Pricing | Not given
| Not given
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| Key features | - Run agents with Python tools
- Deploy agents as MCP servers
- Validate structured inputs and outputs
- Inspect run results and artifacts
- Secrets management
- 24-hour result retention
| - Signed permissions with passkey authentication
- Receipts for each agent action with signatures
- Free checker tool to verify compliance
- Quantum-safe signatures (Ed25519 and ML-DSA-87)
- Permission narrowing for helper agents
- Permission cancellation with signed acknowledgement
- JavaScript and Python libraries
- LangChain and Pydantic AI middleware
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| What makes it different | - No subscription or idle charges for usage-based pricing
- Zero markup on model tokens
- Hosting included with deployment
- Available through MCP clients like Claude and Codex
- Full visibility into agent execution and results
| - Only open-source project combining machine-checkable limits, permission narrowing for helpers, and signed permission cancellation
- Built entirely from published standards with no hand-made components
- Free and no dependencies, sends nothing anywhere or holds money
- Distinguishes between record integrity and whether agent stayed within permission
- All published versions stay available for backward compatibility
|
| Community votes | 0 | 0 |
| DR (Domain Rating by Ahrefs) | 13 ▼ −21 (down) since last check | Not checked yet ● no change since last check |
| Trust Flow (Majestic) | 11 | 0 |
| Citation Flow (Majestic) | 20 | 0 |
| Referring domains (Majestic) | 39 | 0 |
5 details filled in for both companies.
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