Endgame vs Perseus Computing
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 Perseus Computing
| Detail | 
Endgame | 
Perseus Computing |
|---|
| What it does | Context graph for AI-native revenue teams
| High-assurance infrastructure for AI agents
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| Stage | Established
| Not given
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| Founded | 2021
| Not given
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| Based in | Not given
| US
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| Pricing model | Contact for pricing
| Open source
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| Pricing | Not given
| Not given
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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
| - Harpe: chooses what an AI agent reads under a token budget with consistent results
- Kibisis: keeps agent memory on your hardware with AES-256-GCM encryption
- Argus: append-only record that detects edits with cryptographic verification
- No network code by default for local and disconnected use
- MIT License with published code, benchmarks and raw results
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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
| - Measured empirical validation across 6,111 questions outperforming full-context models
- Zero plaintext on disk with encrypted vaults matching plaintext accuracy
- 78.3% fewer tokens sent to the model with a 1,200-token budget per turn
- Preserves conversational chronology and relational qualifiers under token budgets
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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 | 42 ▲ +1 (up) since last check |
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| Trust Flow (Majestic) | 8 | 3 |
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| Citation Flow (Majestic) | 35 | 24 |
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| Referring domains (Majestic) | 323 | 62 |
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4 details filled in for both companies.
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