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Clarsky vs Backloop

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

Clarsky compared with Backloop
DetailClarsky logo ClarskyBackloop logo Backloop
What it doesLeave your desk. Not your AI. Catch where AI agents get stuck on your API or MCP server, rank problems by impact, and draft fixes as pull requests
StageMVP Not given
FoundedNot given Not given
Based inNot given US
Pricing modelFreemium Freemium
PricingFree access during beta. The first 5,000 founding members receive 25% off their first three months at launch. Open source: free. Team: $199/month with 14-day free trial (1 API or MCP service, 25,000 reports/month, 15 coding-agent runs/month). Business: $799/month (up to 3 services, 250,000 reports/month, 60 coding-agent runs/month). Extra coding-agent runs: $6 each.
Key features
  • Live agent progress with real-time status and activity feed
  • Execution plan tracking with completed and upcoming tasks
  • Answer agent questions from phone with a tap
  • Review and approve generated files and diffs before returning to desk
  • Send follow-up instructions mid-task from phone
  • Pause or stop agent runs from phone
  • Session summary with changed files, commits, and test results
  • Intelligent notifications for critical moments
  • Session replay for MCP servers to identify failed agent sessions
  • Clustering reports by agent goals and workflows
  • Priority ranking weighted by frequency, failed workflows, and affected accounts
  • Claude Code generates pull requests with tests
  • Review queue with diff, tests, agent reports, and evidence
  • Isolated git worktree prevents unauthorized code push
  • Schema validation and rate limiting for feedback
  • Open Agent Feedback Protocol with TypeScript and Python SDKs
  • GitHub integration for draft PR creation
What makes it different
  • Works with multiple AI agents: Claude Code, Codex CLI, and Gemini CLI
  • Source code never leaves your machine
  • Lightweight companion app instead of remote desktop
  • Human-in-the-loop supervision with approval requirements for destructive operations
  • Only AI agent failures on successful HTTP responses get detected and ranked
  • Automated pull request drafts with your approval required before shipping
  • Session replay captures failures even when agents don't report them
  • Pay only for coding-agent runs, not feedback submission
  • Open protocol and SDKs can be self-hosted at no cost
Community votes00
DR (Domain Rating by Ahrefs)1 no change since last check1 no change since last check
Trust Flow (Majestic)101
Citation Flow (Majestic)1614
Referring domains (Majestic)104

5 details filled in for both companies.

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