Skan AI vs Sectr
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
Skan AI compared with Sectr
| Detail | 
Skan AI | S
Sectr |
|---|
| What it does | Not given
| Deploy your AI agent in one click
|
|---|
| Stage | Established
| MVP
|
|---|
| Founded | 2020
| Not given
|
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| Based in | US
| Not given
|
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| Pricing model | Contact for pricing
| Free
|
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| Pricing | Not given
| Free during beta
|
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| Key features | - Context Graph of Work - continuously updated model of how work gets done across enterprises
- Blueprint for AI roadmap planning with defensible ROI recommendations
- Process Intelligence to identify bottlenecks and prioritize automation
- Engineering Intelligence for unified view of developer work
- Work-aware agents grounded in real operational context
- Zero-integration capture across legacy and modern systems
- In-environment processing with data staying in customer perimeter
- Agentic Operating Procedures for governed agent execution
- Audit logs and compliance tracking for every agent decision
- Built on 25B+ events from 500+ observed processes
| - One-click cloud deployment
- Support for multiple frameworks (OpenAI Agents SDK, Pydantic AI, LangGraph, CopilotKit)
- Built-in AG-UI endpoint for frontend integration
- Live session replay and debugging
- Streaming text, tool calls and approvals
- Durable sessions and message persistence
- Serverless human-in-the-loop approvals
- Local development environment matching production
- Scale to zero during waits
- Encrypted secrets management
|
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| What makes it different | - Observes actual work at scale across enterprise systems rather than relying on assumptions or documentation
- Delivers AI agents that work in production at scale, not just pilots
- Provides measurable ROI and audit trails for AI spending and decisions
- Privacy-first architecture keeps sensitive data within customer environments
| - Works with any agent framework without framework-specific dependencies
- Handles infrastructure complexity like journaling, approvals, and state persistence automatically
- Stateless hosting with all conversation state managed on Sectr
- Native CopilotKit integration with no additional SDK or event parsing needed
- Approvals persist through browser refresh without losing agent progress
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| Free plan | Not given
| Not given
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| Open source | Not given
| Not given
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| Platforms | Not given
| Not given
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| Public API | Not given
| Not given
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 54 ● no change since last check | Not checked yet ● no change since last check |
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| Trust Flow (Majestic) | 14 | 0 |
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| Citation Flow (Majestic) | 38 | 0 |
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| Referring domains (Majestic) | 463 | 0 |
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4 details filled in for both companies.
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