Recurse vs Questera
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 Questera
| Detail |
Recurse |
Questera |
| What it does | Build and deploy Agent MCP Apps
| Agentic customer engagement platform that uses AI agents to drive revenue
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| Stage | Growing
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| Founded | Not given
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| Based in | Not given
| US
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| Pricing model | Paid
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| Pricing | 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
| - Pre-configured AI agents including ELMA for email, GRETA for growth engineering, GIA for data analysis
- Custom AI agent builder with over 75 integrations
- Real-time signal monitoring and decision making
- Campaign builder and thousands of variations in minutes
- Multi-channel journey orchestration
- Intelligent user segmentation
- Data analysis and visualization
- Integrates with Segment, Braze, Snowflake, HubSpot and more
- No-code interface built for marketers
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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
| - Cut campaign build time by 90% with AI-generated variations
- See ROI within 2 weeks of deployment
- Drive 20-40% lift in activation, retention, and LTV
- Works with existing stack without replacing current tools
- Platform independent from engineering teams
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| Free plan | Not given
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| Open source | Not given
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| Platforms | Not given
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| Public API | Not given
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| Community votes | 0 | 0 |
| DR (Domain Rating by Ahrefs) | 34 ▼ −1 (down) since last check | 36 ▲ +1 (up) since last check |
| Trust Flow (Majestic) | 11 | 21 |
| Citation Flow (Majestic) | 20 | 43 |
| Referring domains (Majestic) | 39 | 2623 |
3 details filled in for both companies.
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