Recurse vs badgeIA
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 badgeIA
| Detail | 
Recurse | 
badgeIA |
|---|
| What it does | Build and deploy Agent MCP Apps
| The credential layer for AI agents
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|---|
| Stage | Growing
| Startup
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| Founded | Not given
| 2026
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| Based in | Not given
| ES
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| Pricing model | Paid
| Freemium
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| Pricing | Not given
| Free: 1 agent, 30 runs/month, public scoring only. Pro: unlimited agents, 1,000 runs/month, private runs, $120/year or $12/month. Team: unlimited agents, 5,000 runs/month, 5 seats, $261/year or $29/month. Enterprise: 25,000 pooled runs/month, SSO, SCIM, from $499/month billed annually.
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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
| - Standardised work sample testing with composite scoring (40% success, 30% latency, 30% cost)
- Five-axis diagnostic radar (correctness, latency, cost, tool efficiency, robustness)
- Ed25519-signed certificates with public key verification
- Hiring Frontier cost-per-task analysis across model candidates
- Embedded badge rendering for README files
- Private screening (Pro plan and above)
- Team workspaces with up to 5 seats
- CSV and PDF export
- API access with rate limits
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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
| - Standardised testing ensures scores are comparable, not self-reported
- Free forever for public scoring with no credit card required
- Model-agnostic testing works with any LLM provider
- Screening completes in under 5 minutes
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 13 ▼ −21 (down) since last check | 1 ● no change since last check |
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| Trust Flow (Majestic) | 11 | 0 |
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| Citation Flow (Majestic) | 20 | 19 |
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| Referring domains (Majestic) | 39 | 10 |
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5 details filled in for both companies.
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