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Backloop vs Tare

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

Backloop compared with Tare
DetailBackloop logo BackloopTare logo Tare
What it doesCatch where AI agents get stuck on your API or MCP server, rank problems by impact, and draft fixes as pull requests See where your AI coding agent's tokens go, cut the waste without breaking the prompt cache, and get a receipt for every saving
StageNot given Not given
FoundedNot given Not given
Based inUS Not given
Pricing modelFreemium Freemium
PricingOpen 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. Free for open source (Wrapped, all fixes with undo, receipt, skill, plugin, MCP server). Team: $30 per developer, or 10% of verified savings, whichever is lower (spend by engineer, cost per merged PR, CI gate). Enterprise: contact for self-hosted, SSO, finance exports, procurement-grade reports.
Key features
  • 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
  • Session log analysis with token pricing breakdown
  • Categorized spending attribution by startup context, tool output, sub-agents, and cache rebuilds
  • Safe automatic fixes for output trimming and cache countdown
  • Undo capability for all changes
  • Receipt comparing cost-per-commit before and after with 90% confidence range
  • Shareable card with visualization of token usage
  • Command output trimming to reduce context bloat
  • Cache expiration countdown in status line
  • MCP server integration for any agent
  • Claude Code plugin with skill and MCP server
What makes it different
  • 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
  • Reads actual logs your agent already keeps, not a third-party service
  • Fixes only trim new content without rewriting cache to preserve prompt optimization
  • Open source under Apache 2.0 with no incentive to make you spend more tokens
Community votes00
DR (Domain Rating by Ahrefs)1 no change since last checkNot checked yet no change since last check
Trust Flow (Majestic)10
Citation Flow (Majestic)140
Referring domains (Majestic)40

5 details filled in for both companies.

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