A year ago, “an AI opens a pull request when production breaks” was a demo. Now it is a line item. Sentry sells it, Datadog sells it, and I sell it. The three of us charge for it in three different ways, and the difference matters more than the headline price.

I run Auralogs, so I am not neutral. To keep myself honest, every competitor number below comes from the vendor’s own page, read on 12 November 2026, with a link. Pricing changes. Check the links before you decide anything.

The three pricing models

Per seat: you pay for each developer, whether or not the AI fixed anything for them this month. Per credit: you pay for each unit of AI work, so the bill follows your error volume. Flat with your own key: you pay the tool a fixed price and pay the model provider directly for the tokens.

Sentry Seer: per seat today, credits next month

Seer is Sentry’s AI debugging agent. It does root cause analysis on issues and can open a pull request with a fix.

As of 12 November 2026, Sentry’s pricing docs say Seer costs $40 per active contributor per month, where an active contributor is someone who makes two or more PRs to a Seer-enabled repo. It is an add-on for the Team and Business plans. The pricing page lists Team at $29 a month billed monthly, and the free Developer plan does not include Seer.

The same docs page says this changes soon: on 8 December 2026, Seer moves from active-contributor pricing to usage-based credits, managed through a wallet with a daily spend limit. I could not find per-run rates on the pages I read, so I am not going to guess at them.

Datadog Bits Code: per credit

Datadog’s agent is called Bits Code (the docs URL still says bits_ai_dev_agent). As of 12 November 2026, its docs say it uses Datadog observability data to diagnose code issues and creates pull or merge requests, and that it never auto-merges them.

Usage is billed in AI Credits. As of 12 November 2026, the Datadog pricing page lists AI Credits at $500 per 500 credits per month billed annually, or $1.30 per credit on demand. The same page estimates about 5 credits per Bits Code fix, and says those estimates are for reference only and vary with the task.

Auralogs: flat, with your own key

Auralogs opens fix PRs on every plan, including the free one. Free is $0 for 500,000 logs a month, Starter is $19 for 2,000,000, and Pro is $49 for 10,000,000. There is no per-fix or per-seat charge from me.

The catch is in the name. You add your own Anthropic or OpenAI API key, and the model provider bills you for the tokens each analysis and fix uses. That cost is real and it is not zero. I am not going to quote a per-fix number because it depends on the model you pick and how much source the fix needs to read. Your provider’s usage dashboard will tell you exactly.

Side by side

Sentry SeerDatadog Bits CodeAuralogs
How fix PRs are billed$40 per active contributor per month until 8 December 2026, then usage-based creditsAI Credits: $500 per 500 credits per month billed annually, or $1.30 per credit on demandIncluded in every plan
Who pays the model billIncluded in the price aboveIncluded in the price aboveYou do, directly to Anthropic or OpenAI
On the free planNo. Add-on for Team and BusinessNot stated on the pages I readYes
Source controlGitHub.com and GitLab.comGitHub, GitLab, Azure DevOps Cloud, Bitbucket.orgGitHub

Competitor figures as of 12 November 2026, from the pages linked above.

A hypothetical team

This example is hypothetical. The team is made up and so is its workload.

Three developers, all opening PRs every week, and 20 AI fixes in a month.

  • Sentry, at today’s prices: $29 for Team plus 3 x $40 for Seer is $149 a month. The fix count does not change it. After 8 December the math will be different.
  • Datadog, on demand: 20 fixes at roughly 5 credits each is about 100 credits, or about $130 for the fixes, using Datadog’s own reference estimate. That is on top of the Datadog products that produce the errors in the first place.
  • Auralogs: $19 a month on Starter, which covers three seats, plus whatever Anthropic or OpenAI charges you for those 20 analyses and fixes.

Change the inputs and the ranking changes. One developer with a noisy app looks very different from ten developers with a quiet one.

What they do better

If I only listed prices, this would be an ad.

Sentry does far more than logs. Seer can use tracing data and profiles as well as the error itself, and Sentry’s error grouping and SDK coverage are deeper than mine. It supports GitLab. It can hand the coding step to Claude Code, Cursor or GitHub Copilot. And there is no API key for you to create, fund and rotate.

Datadog covers four source control providers where I cover one. Bits Code takes work from many places, including security findings and APM recommendations, and it iterates on its changes using CI logs. If you already live in Datadog, the fix shows up where your team already works.

Auralogs is narrower. It reads logs, not traces. It only works with GitHub. It only opens a PR when the analysis is confident in the fix. And you have to manage a model key and a second bill.

How I would choose

Pick per seat if your team is small, your error volume is high, and you want one predictable invoice.

Pick per credit if errors are rare and you would rather pay nothing in a quiet month.

Pick flat with your own key if you want to see the model cost separately, choose the model yourself, and not pay more when you add a teammate.

If the third one sounds like you, Auralogs is free to start and fix PRs work on the free plan once you connect a GitHub repo and add your key.

Start free at auralogs.ai