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Turn customer reports into evidence-backed root causes and pull requests

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Tracked since 2026

The Bottom Line

Price
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Key facts

  • AI agent that investigates production issues from support tickets to root cause with evidence
  • Read-only connections to databases, code, logs, and inboxes across your stack
  • Writes pull requests and drafts customer replies, reducing escalations

Pros

  • Read-only access means no risk to production data
  • Integrates with the tools teams already use
  • Saves engineering time by resolving escalations before handoff

Cons

  • Private beta requires early access approval
  • Limited to the connected sources; it cannot investigate tools outside its integrations

What is TraceX?

TraceX is an AI engineer that investigates production issues from a customer email, Slack message, or Jira ticket. It connects read-only to your databases, code repositories, error trackers, logs, and inboxes, then traces the issue to its root cause with evidence. It shows confidence, expected versus actual behavior, and citations for every claim, then opens a pull request with the fix and drafts a reply for the customer. Supported connections include PostgreSQL, MySQL, MongoDB, GitHub, Sentry, Datadog, CloudWatch, Gmail, Slack, and Jira. TraceX is built for engineering and support teams. It reduces escalations by giving support the answer before engineering is needed, and gives engineers a root cause and fix instead of a vague complaint. The Conversations feature lets anyone ask questions about their systems in plain English and get cited answers, charts, and spreadsheet or PDF exports. TraceX also reviews pull requests and keeps a full timeline from when a problem started to when it was fixed. Access is read-only by design. TraceX never writes to production, and it is available during the private beta.

Key Features

  • Investigates issues from Gmail, Slack, or Jira tickets automatically
  • Read-only queries across PostgreSQL, MySQL, and MongoDB
  • Reads code and recent commits from GitHub
  • Checks Sentry, Datadog, and CloudWatch for errors and logs
  • Produces root cause with confidence score, expected vs actual, and evidence citations
  • Opens pull requests with the fix and validation steps
  • Drafts customer replies based on the investigation
  • Conversations in plain English with cited answers, charts, and CSV/PDF exports

Pricing

Free

TraceX is completely free to use with no hidden costs.

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TraceX FAQ

How does TraceX turn a customer complaint into a fix?

TraceX starts from a customer email, Slack message, or Jira ticket, connects read-only to your databases, code repositories, error trackers, logs, and inboxes, and traces the issue to its root cause with evidence. It shows confidence, expected versus actual behavior, and citations for every claim, then opens a pull request with the fix and drafts a reply for the customer. This workflow lets support hand over an answer before engineering is needed.

Which limitations should teams consider before adopting TraceX?

TraceX is in private beta, so early access approval is required before use. It can only investigate the systems it is connected to, and it cannot investigate tools outside its supported integrations. Access is read-only by design, so it never writes to production, but that also means it depends on the connected sources for its evidence.

How is TraceX priced?

TraceX is free to use, with no paid plan required. There is no cost to access the product during its private beta. Teams only need to go through early access approval to start using it.

Which teams get the most value from TraceX?

TraceX is built for engineering and support teams. It reduces escalations by giving support the answer before engineering is needed, and it gives engineers a root cause and fix instead of a vague complaint. The Conversations feature also lets anyone ask questions about their systems in plain English.

Can TraceX investigate issues from Slack or Jira?

Yes. TraceX can start an investigation from a customer email, Slack message, or Jira ticket. It connects read-only to Gmail, Slack, Jira, and other tools such as GitHub, Sentry, Datadog, and CloudWatch to trace the issue to its root cause. It then opens a pull request with the fix and drafts a reply for the customer.

How does TraceX provide evidence for its root cause claims?

TraceX shows confidence, expected versus actual behavior, and citations for every claim it makes. It connects read-only to your databases, code repositories, error trackers, logs, and inboxes to gather that evidence. The citations let engineers verify each claim before acting on the suggested fix.

Can TraceX export answers from its Conversations feature?

Yes. The Conversations feature lets anyone ask questions about their systems in plain English and get cited answers, charts, and spreadsheet or PDF exports. This makes it easy to share findings with support or engineering teams. TraceX also keeps a full timeline from when a problem started to when it was fixed.

Does TraceX review pull requests?

Yes. TraceX reviews pull requests and keeps a full timeline from when a problem started to when it was fixed. This timeline helps teams understand the complete incident lifecycle. The review capability complements its role as an AI engineer that opens pull requests with fixes.

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