Reach MCP vs Subquadratic
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
Reach MCP compared with Subquadratic
| Detail | 
Reach MCP | 
Subquadratic |
|---|
| What it does | LinkedIn MCP server for AI agents and agencies
| Efficiency is Intelligence
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| Stage | Not given
| Startup
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| Founded | Not given
| Not given
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| Based in | FR
| US
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| Pricing model | Paid
| Paid
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| Pricing | $20/month for the first account, $7/month for accounts 2-10, $5/month for accounts 11+. One plan includes all features.
| Free 100M tokens for new users. $0.04 per 1M tokens for input tokens.
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| Key features | - LinkedIn messaging and conversation management
- Connection request management
- Post activity and comment engagement
- LinkedIn post scheduling
- Activity monitoring dashboard
- Rotating proxy and rate-limit management
- Multi-account management for agencies
- REST API for custom integrations
| - 384K token context window
- Multimodal input support
- 100K tokens processed in less than a second
- Structured output for direct code use
- Subquadratic Sparse Attention algorithm for efficient compute
- $0.04 per 1M tokens pricing
- Customer content not used for model training
- Data retention limited to 60 days
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| What makes it different | - Preview approval system: every write shows numbered preview before sending anything
- Eight built-in playbooks shipped as AI suggestions, no prompt engineering needed
- One MCP URL works with Claude, ChatGPT, Cursor, n8n, Make and other MCP clients
- 30% referral commission for agencies on client subscriptions for 12 months
| - First long-context decision model purpose-built for enterprise work
- Frontier-level decision-making performance at 5-10x lower cost than frontier LLMs
- Tied for #1 on Artificial Analysis Decision Index
- Processes entire codebase or data room in single context window
- Speeds agent reasoning from minutes to seconds
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 22 ● no change since last check | 52 ● no change since last check |
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| Trust Flow (Majestic) | 10 | 17 |
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| Citation Flow (Majestic) | 25 | 37 |
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| Referring domains (Majestic) | 60 | 654 |
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6 details filled in for both companies.
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