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Backloop vs Interlok

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 Interlok
DetailBackloop logo BackloopInterlok logo Interlok
What it doesCatch where AI agents get stuck on your API or MCP server, rank problems by impact, and draft fixes as pull requests Lockout/tagout for AI agents: risky actions stop, a person decides, and a signed record proves it
StageNot given Not given
FoundedNot given Not given
Based inUS US
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: risk scan, 100 approvals per month, offline verification. Approvals: $99/month, unlimited approvals. Gate: $799/month (includes Approvals). Evidence: from $18K/year. Regulated: from $40K/year.
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
  • Risk scan of agent reach, capabilities and consequences
  • Policy-as-code for gating rules
  • Shadow mode to preview holds before enforcement
  • Human-in-the-loop approvals via console
  • Cryptographically signed audit ledger
  • Compliance framework packs
  • Inference receipts for model calls
  • GitHub merge check for agent-written PRs
  • Directory sync with Okta or Microsoft Entra
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
  • Gates actions, not agents—routine calls pass through untouched
  • Low published latency overhead: p50 8ms, p95 25ms for allowed verdicts
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

6 details filled in for both companies.

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