Recurse vs Inteldo
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 Inteldo
| Detail | 
Recurse | 
Inteldo |
|---|
| What it does | Build and deploy Agent MCP Apps
| Eight specialized AI agents research your question in parallel and deliver one clear answer you can act on
|
|---|
| Stage | Growing
| Startup
|
|---|
| Founded | Not given
| 2024
|
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| Based in | Not given
| SI
|
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| Pricing model | Paid
| Freemium
|
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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
| - Eight parallel specialist agents analyzing different business data domains
- Stripe and Google Ads revenue tracking with MRR and CAC analytics
- Google Analytics 4 and Search Console traffic analysis
- PostHog product analytics and funnel monitoring
- Competitor website analysis and pricing extraction at scale
- Real-time chat workspace with cited sources for all findings
- OAuth secure, read-only data connections
- Signal boards for ongoing metric monitoring
|
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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
| - Eight specialized agents work in parallel instead of a single chatbot
- Every claim cited to live sources, not generated from training data
- Bootstrapped with roadmap driven by customer needs, not investor targets
- Data analyzed and discarded, never trained on models
|
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 13 ▼ −21 (down) since last check | 35 ▼ −1 (down) since last check |
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| Trust Flow (Majestic) | 11 | 19 |
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| Citation Flow (Majestic) | 20 | 32 |
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| Referring domains (Majestic) | 39 | 25 |
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5 details filled in for both companies.
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