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Storewake vs GitMir

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

Storewake compared with GitMir
DetailStorewake logo StorewakeGitMir logo GitMir
What it doesConnect your AI agent to App Store data AI model of your product's business logic accessible to people and AI agents
StageNot given Not given
FoundedNot given Not given
Based inNot given GB
Pricing modelFreemium Freemium
PricingFree tier: track rankings and competitors for one app with no card required. Grow plan: from $9.99/month per workspace, includes app integrations and MCP access. Investigate one app costs $9.99/month (up to three apps per workspace). Use LAUNCH code at checkout for 20% off while keeping the subscrip 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
  • 23 MCP tools for iOS app analysis
  • Keyword ranking history by storefront
  • Competitor tracking and keyword overlap inspection
  • Apple Ads campaign data integration
  • RevenueCat subscription and revenue snapshots
  • Read-only Apple Ads tools
  • Hosted MCP endpoint with remote access
  • 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
  • Maintains separate data boundaries between sources to avoid false attribution
  • Separates missing ranks from measured drops in analysis
  • Connects paid and organic data with revenue context in one investigation
  • Free tier available with no card required
  • 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)3 no change since last check27 no change since last check
Trust Flow (Majestic)23
Citation Flow (Majestic)2328
Referring domains (Majestic)1950

5 details filled in for both companies.

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