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Gravitre vs Backloop

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

Gravitre compared with Backloop
DetailGravitre logo GravitreBackloop logo Backloop
What it doesAI operations platform connecting tools, agents, and workflows with governed execution 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 modelFreemium Freemium
PricingNode $79/month (1 agent, 1 core user, 2 lite users, up to 10 outputs/month, 3 app integrations). Control $249/month (2-3 agents, 2 core users, 5 lite users, up to 40 outputs/month, 10 Mesons/month, CRM+Outlook integrations). Command $599/month (5-8 agents, 5 core users, unlimited lite users, up to 1 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
  • LLM model selector for OpenAI, Anthropic, Llama with org-level defaults
  • Text-to-workflow builder
  • Native integration with 50+ tools including Salesforce, HubSpot, Slack, Outlook
  • One-click OAuth authentication
  • Real-time agent coordination and handoffs
  • Custom connector SDK for proprietary systems
  • Sandbox testing and deployment simulation
  • GIBE learning and organizational memory
  • Failure predictions and breakage prevention
  • Role-based access control with approval gates
  • 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
  • Shared organizational intelligence instead of isolated AI silos
  • Verified execution with connector health checks before production runs
  • Honest outcome measurement with audit trails, not invented ROI metrics
  • Transparent routing and readiness instead of black-box chain-of-thought
  • Meson system builder to generate agents from plain language requests
  • 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)01
Citation Flow (Majestic)2214
Referring domains (Majestic)74

5 details filled in for both companies.

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