Endgame vs Slaunt
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 Slaunt
| Detail | 
Endgame | 
Slaunt |
|---|
| What it does | Context graph for AI-native revenue teams
| The all-in-one agentic AI solution for your organization
|
|---|
| Stage | Established
| Startup
|
|---|
| Founded | 2021
| 2024
|
|---|
| Based in | Not given
| Not given
|
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| Pricing model | Contact for pricing
| Freemium
|
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| Pricing | Not given
| Starter (free), Professional ($29/seat/month), Enterprise (contact for pricing)
|
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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
| - Centralized context repository for unifying work signals across tools
- MCP protocol integration with AI assistants and tools
- First-class integrations with GitHub, Vercel, Supabase, Railway, Gmail, Notion, Calendly, Codex, Claude Code, and Slack
- Per-agent scoped access with full audit trail
- Custom vector embeddings for agent memory
- Instant agent shutdown from anywhere globally
- QUAERO enterprise AI agent governance system
- Two-way sync with tools for agent actions and work flows
- Support for custom MCP servers and internal tools
- Real-time organizational context for agent reasoning
|
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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
| - AI-first design with structured, queryable context rather than static documentation
- Consistent policy and audit rules across all integrations
- MCP-native integrations with no bespoke connectors to maintain
- Instant global agent shutdown capability
- Guardrails on every agent run by default
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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 | 4 ● no change since last check |
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| Trust Flow (Majestic) | 8 | 0 |
|---|
| Citation Flow (Majestic) | 35 | 28 |
|---|
| Referring domains (Majestic) | 323 | 40 |
|---|
6 details filled in for both companies.
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