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AINRA vs GitMir

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

AINRA compared with GitMir
DetailAINRA logo AINRAGitMir logo GitMir
What it doesThe identity layer for autonomous AI AI model of your product's business logic accessible to people and AI agents
StageStartup Not given
Founded2026 Not given
Based inNot given GB
Pricing modelOpen source 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
  • Offline verification in milliseconds
  • Cryptographic passports for agents
  • Revocation under 60 seconds
  • Authority classes and assurance tiers
  • No central authority calls required
  • Local registrar lifecycle
  • Request signing with short-lived keys
  • Public conformance testing
  • Fail-closed HTTP gating
  • Appeal mechanism for revocation
  • 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
  • Neutral non-profit root barred by charter from issuing credentials or computing scores
  • Fully open standard with published conformance vectors and reproducible releases
  • Verification runs offline without phoning home to any authority
  • Four independent implementations agreeing on all conformance vectors
  • Public recorded ceremony to establish the root across independent custodians
  • 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)Not checked yet no change since last check27 no change since last check
Trust Flow (Majestic)03
Citation Flow (Majestic)028
Referring domains (Majestic)050

4 details filled in for both companies.

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