Endgame vs briq
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
Endgame compared with briq
| Detail | 
Endgame | 
briq |
|---|
| What it does | Context graph for AI-native revenue teams
| Cloud sandboxes and services for builders and agents
|
|---|
| Stage | Established
| Not given
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| Founded | 2021
| Not given
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| Based in | Not given
| FR
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| Pricing model | Contact for pricing
| Freemium
|
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| Pricing | Not given
| Hobby (Free): 5 sandboxes & services at once, 16 GB of memory, pico/micro/nano/small/medium sizes, 10 GB disk. Pro (€20/month): €20 usage included monthly, 50 sandboxes & services, 80 GB memory, 5 members, all sizes, 250 GB disk, always-on briqs. Team (€100/month): €100 usage included monthly, 200 s
|
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| Key features | - One context layer connecting all GTM tools and AI agents
- Agent observability with end-to-end tracing
- Source citations for every answer
- Permission-aware answers scoped to user access levels
- Playbook grounding to enforce business semantics
- Corrections inbox for agent-generated changes
- Integration with Claude, ChatGPT, Slack, Salesforce and other tools
- Open Model Context Protocol (MCP) for any client
- SOC 2 Type II compliance and GDPR/CCPA support
- 140x faster answers via pre-compiled context
| - Linux sandbox with shell, persistent files and development tools
- Multiple services: Postgres, Redis, DuckDB, custom OCI images
- MCP integration with Claude, Cursor, VS Code
- Environment forking with data preservation
- Idle workload sleep mode with compute billing pause
- Private networks with public endpoint selection
- Spend caps, size limits and concurrency controls per credential
- Audit log for reviewing all actions
|
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| What makes it different | - 40x lower cost through pre-compiled context vs raw data processing
- 98% answer accuracy with no hallucinations through checked data
- Agent-agnostic: works with any AI tool your team uses
- Never trains on customer data with enterprise-grade security
- Set up within days with forward-deployed engineer support
| - Built specifically for AI agents with native MCP protocol support
- Open-source runtime in public development with Rust and Firecracker
- Integrated services ecosystem with private networking
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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) | 48 ▼ −2 (down) since last check | 18 ▼ −1 (down) since last check |
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| Trust Flow (Majestic) | 8 | 0 |
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| Citation Flow (Majestic) | 35 | 20 |
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| Referring domains (Majestic) | 323 | 24 |
|---|
4 details filled in for both companies.
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