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ClearML vs Backloop

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

ClearML compared with Backloop
DetailClearML logo ClearMLBackloop logo Backloop
What it doesNot given Catch where AI agents get stuck on your API or MCP server, rank problems by impact, and draft fixes as pull requests
StageNot given Not given
FoundedNot given Not given
Based inNot given US
Pricing modelNot given Freemium
PricingCommunity: Free (up to 3 users, includes 100GB artifact storage, 1GB metric events, 1M API calls/month). Pro: $15 per user/month plus usage (up to 10 users). Scale: Custom quote for organizations with 8-48 GPUs. Enterprise: Custom quote for organizations with multiple large projects. 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
  • Infrastructure Control Plane for GPU cluster management
  • AI Development Center with IDE for model development
  • GenAI App Engine for LLM deployment
  • Experiment tracking and model management
  • Dataset versioning and management
  • Multi-tenancy and role-based access control
  • 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
  • Three-layer platform combining infrastructure management, AI development, and GenAI deployment in one solution
  • Open-source foundation available on GitHub
  • Trusted by 2,100+ organizations and 300,000+ AI builders
  • 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)65 +1 (up) since last check1 no change since last check
Trust Flow (Majestic)121
Citation Flow (Majestic)3214
Referring domains (Majestic)9674

3 details filled in for both companies.

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