Skip to main content
NexoraLaunch home

Build log live

Endgame vs GitMir

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 GitMir
DetailEndgame logo EndgameGitMir logo GitMir
What it doesContext graph for AI-native revenue teams AI model of your product's business logic accessible to people and AI agents
StageEstablished Not given
Founded2021 Not given
Based inNot given GB
Pricing modelContact for pricing Freemium
PricingNot given Free: 10,000 starting credits plus 1,000 per month. Engineering: $29 per active developer per month with 30,000 pooled credits each month. GitMir Vibe: $9 per person per month. Cloud Compute: $99 per project per month. MeetAI: $49 per project per month. GoBots: $99 per venture per month. Market: $49
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
  • Builds features, rules and customer paths and keeps them current with every push
  • Shows what each commit changed in the business logic, not only in the code
  • Provides change impact analysis before merge showing what could break
  • Checks PRDs and specifications against the product
  • Delivers understanding to AI agents over MCP
  • Runs locally on your machine with GMM Local
  • Finds risky patterns and problems in the product
  • Enterprise deployment inside your security boundary
  • Integrates with Claude Code, Cursor, Codex and VS Code
  • MCP access for agents with 1-10 credits per answer
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
  • Nearly 3× fewer errors on Benchmark 001 compared to alternatives
  • 8.4K tokens per question instead of 27.4K for competitors
  • Results published and measurable; method is proprietary
  • Reduces AI cost per completed agent action from $0.35 to $0.08
Free planNot given Not given
Open sourceNot given Not given
PlatformsNot given Not given
Public APINot given Not given
Community votes00
DR (Domain Rating by Ahrefs)48 −2 (down) since last check27 no change since last check
Trust Flow (Majestic)83
Citation Flow (Majestic)3528
Referring domains (Majestic)32350

4 details filled in for both companies.

More alternatives to Endgame More alternatives to GitMir

Ask a question