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Bulkgrid vs GitMir

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

Bulkgrid compared with GitMir
DetailBulkgrid logo BulkgridGitMir logo GitMir
What it doesThe Knowledge Layer for AI Agents AI model of your product's business logic accessible to people and AI agents
StageNot given Not given
FoundedNot given Not given
Based inSE GB
Pricing modelNot given 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
  • Search for web pages, images, and news
  • Crawl pages into Markdown, HTML, links, and screenshots
  • Map discovery using website sitemaps
  • Extract structured JSON from pages
  • Index with scheduled refreshes and retrieval
  • TypeScript and Python SDKs
  • Model Context Protocol (MCP) integration
  • REST API for all capabilities
  • CLI for terminal and script access
  • Private GitHub repository indexing
  • 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 indexed knowledge with automatic scheduled refreshes
  • Provides source references for verifiable answers
  • Supports both public and private knowledge sources
  • Handles infrastructure for data pipelines
  • 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)4 no change since last check27 no change since last check
Trust Flow (Majestic)83
Citation Flow (Majestic)2628
Referring domains (Majestic)3050

4 details filled in for both companies.

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