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AI DevOps · United States

Backloop

Catch where AI agents get stuck on your API or MCP server, rank problems by impact, and draft fixes as pull requests

  • Community votes0
  • DR by Ahrefs1 no change since last check

Ahrefs Domain Rating set in type 6 Nov 2026, reset 5 Nov 2026.

Platform that detects where AI agents fail on your API or MCP server, prioritizes issues by impact, and proposes code fixes for approval.

The story so far

Screenshot of the Backloop homepage
Homepage of Backloop

Backloop helps API and MCP server owners understand why AI agents fail to complete tasks. The platform catches agent failures by instrumenting your API or MCP server, clustering reports from multiple agents, and ranking issues by impact across failed tasks, affected accounts, and workarounds. When your API returns 200 but the agent still failed, Backloop reveals the gap. Claude Code then drafts the fix, runs your tests, and waits for your approval before opening a draft pull request. Nothing ships without your decision.

Typeset 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

Pricing

Pricing model: Freemium

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.

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Backloop metrics

Set in type for trybackloop.com: Ahrefs Domain Rating and Majestic link data, with the change since the last edition.
MetricValue
Domain Rating1 no change since last check
Trust Flow1 no change since last check
Citation Flow14 no change since last check
Referring domains4 no change since last check
External backlinks6 no change since last check

Ahrefs Domain Rating set in type 6 Nov 2026, reset 5 Nov 2026. Lead topic: Society/People (1). Majestic set 5 Nov 2026, reset 5 Nov 2026. Link data typeset by Majestic. Trust Flow, Citation Flow and Topical Trust Flow are trademarks of Majestic-12 Ltd.

Backloop domain colophon

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From the registry's public RDAP record, checked 5 Nov 2026, 14:50 UTC.
Domain age1 month
Registered
Expires
RegistrarName.com, Inc.
DNSSECNot signed

Full colophon for trybackloop.com

Backloop launch colophon

Measured after Backloop went live on Zivaro Launch on 5 November 2026.

Domain Rating (Ahrefs)
1
First measured 5 Nov 2026
Trust Flow (Majestic)
1
First measured 5 Nov 2026
Referring domains (Majestic)
4
First measured 5 Nov 2026

Day 0 since launch. Next receipt: day 30, 5 Dec 2026. These are measurements, not proof of cause: many things move these numbers. Figures we have not measured are left out.

Biggest gains on Zivaro Launch

Your launch, step by step

Free tips from Zivaro Launch for getting ready, launch day, the week after and what to do next.

Read the launch playbook

Questions and answers

Why would an agent send feedback?

Because you ask it to. The protocol ships standard agent instructions and a tool definition. Agents using your API through MCP get submit_feedback like any other tool, and every error response links to the endpoint.

What if agents don't report?

Most don't. On an MCP server, instrumentServer records each session. Backloop judges it once it goes idle and files a failed session as a problem, with the replay as evidence. Reports and sessions land in the same clusters.

What stops junk and prompt injection?

Schema validation, per-account rate limits and de-duplication per agent run. Feedback is treated as data in every prompt. Only human-written text is sent back to agents. The coding agent gets no web tools and can't push, and nothing ships without approval.

Do I need the platform?

No. The protocol is open. Implement POST /feedback, store the records, read them yourself. The platform is for teams that want clustering, prioritization and the path to a PR handled.

What counts as a coding-agent run?

One investigation: the coding agent works an issue in an isolated worktree and runs your tests. It only starts when someone on your team clicks. Reports, sessions, clustering, prioritization and issue drafts aren't metered.

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Backloop has a free listing. The owner can unlock the full profile with a paid launch for $5:

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