devActivity vs Backloop

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

devActivity compared with Backloop
Detail	devActivity	Backloop
What it does	Track, analyze, and improve your developer experience with AI-powered engineering performance insights	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	UA	US
Pricing model	Freemium	Freemium
Pricing	Free plan: $0/contributor, up to 7 active contributors, 90-days data retention. Premium plan: $10-$20/contributor, unlimited active contributors, external managers. Special offers available for open source projects, startups, incubators, accelerators, and VCs. Enterprise option available with Premiu	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	Contributions and work quality analytics from Git metadata Automated performance reviews with AI insights Gamification with XP, levels, achievements, and leaderboards Peer recognition awards Operational bottleneck alerts No source code access, only Git metadata Activity tracking based on commits, pull requests, code reviews, issues, and comments Support for private and public repositories 90-day data retention on free plan External managers access on premium plan	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	No manual input required, fully automated data collection from GitHub AI-powered insights and recommendations available with just two clicks Starts in minutes with simple GitHub app installation Prioritizes data security by accessing only Git metadata, not source code Supports all repository sizes and team organizations	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)	41 −1 (down) since last check	1 no change since last check
Trust Flow (Majestic)	29	1
Citation Flow (Majestic)	34	14
Referring domains (Majestic)	334	4

6 details filled in for both companies.

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