Loopsfinity vs Backloop

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

Loopsfinity compared with Backloop
Detail	Loopsfinity	Backloop
What it does	Automate your software development with agents that know your code	Catch where AI agents get stuck on your API or MCP server, rank problems by impact, and draft fixes as pull requests
Stage	Not given	Not given
Founded	Not given	Not given
Based in	Not given	US
Pricing model	Paid	Freemium
Pricing	Solo Founder: $99/month (launch offer, regularly $299/month) with 1 founder seat, 1 product, 1 Claude account setup, email support. Team: $299/month (launch offer, regularly $999/month) with up to 5 team members, up to 3 products, 5 Claude account setups, priority engineer support. Enterprise: custo	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	Codebase mapping into living documentation PRD decomposition into sequenced tickets Test-first code generation Plan approval gate before execution Pull request with impact summary Per-ticket rollback Jira integration and sync	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	Human gates structurally built in: plan approval, PR review, and deploy decisions never leave human hands Living knowledge base that re-syncs on every merge with drift detection Designed for brownfield codebases with real customers and products	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 votes	0	0
DR (Domain Rating by Ahrefs)	1 no change since last check	1 no change since last check
Trust Flow (Majestic)	0	1
Citation Flow (Majestic)	27	14
Referring domains (Majestic)	32	4

5 details filled in for both companies.

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