Comparisontheir pages read 22 Sep 2026
Runbear vs attest_tag
Runbear sells “no engineering” to ops teams — its homepage’s words — and attest_tag is written for the engineer. The two bullets Runbear lists under Business at $399 a month, a model key of your own and an audit log of every prompt and tool call, are in the MIT binary you can run yourself; the audit log, approval tiers and budgets are in the free plan too, and every write is held for a Confirm in the thread by default.
Which model answers
Any endpoint, per thread
What a turn costs, and who sees it
Model and cost under every reply
Where it runs
Hosted, or one binary of yours
Who holds the credentials
The proxy. Never the model
Who may approve
Never your own request
What you can audit
Every call, exportable
Pick attest_tag when
- A credential is injected by an in-process proxy one hop before the request leaves, and scrubbed from every response before it reaches the model or Slack — the model only ever emits a URL and a method.
- A monthly budget for the workspace, another per channel, and a per-user hourly rate limit; the bot pauses at the ceiling and says so, rather than reporting having crossed it.
- Nobody approves their own request — enforced three times over, once in SQL — and a request routes to the least powerful tier that covers every call in it.
- A fix job runs in a separate worker container that clones the branch, runs the tests before and after the change, and opens a draft pull request it never merges.
- A flat monthly fee by plan size, never per seat, and every feature in every plan — approval tiers, audit export, budgets and two-factor sign-in are in the free plan and the open-source binary.
- You need HIPAA: run the same binary on your own infrastructure so protected health information never leaves it, and we sign a business associate agreement with you on request.
Their page, ours
What the hero says, and what the rest of the site does not.
A hero line is a promise about the product. The questions an engineer asks before rolling one out are usually answered somewhere else on the site — or not answered. These are the ones we looked for.
Runbeartheir hero, verbatim
“AI seats sit empty. AI teammates show up.”
Runbear puts AI teammates into Slack, Microsoft Teams and Discord channels, where they answer @mentions and direct messages and act through connected tools. It is priced by credits rather than seats.
What their pages do not say
- Which model ran, shown under the reply
- What a turn cost, shown under the reply in the thread
- Where the OAuth tokens and API keys live — not on the pages that rendered for us
- A Confirm before every write by default, not only the sensitive ones
- Whether you can run it yourself, or read the source
- On Team at $99 a month, your own model key or an audit log — both are Business bullets at $399 a month
On the public pages listed under the table, as of 22 Sep 2026. An absence is a fact about a page, not about the product; if one of these has since been answered, we will change it.
attest_tagthe same questions, in writing
Which model answers
Any endpoint, per thread
Models and costWhat a turn costs, and who sees it
Model and cost under every reply
Audit and budgetsWhere it runs
Hosted, or one binary of yours
Self-hostedWho holds the credentials
The proxy. Never the model
Credentials, in the guardrailsWho may approve
Never your own request
Access requests and tiersWhat you can audit
Every call, exportable
The audit trail
Side by side
Ten questions worth asking either way.
Our column is the same on every comparison, and each cell ends where the mechanism is shown. Theirs is Runbear’s own pages, quoted or closely paraphrased, as read 22 Sep 2026.
attest_tag
google/gemini-flash, with a heavy model routed to automatically for code and long threads, and a per-thread override.Runbear
attest_tag
!usage for the month by channel. A monthly budget for the workspace, another per channel, and a per-user hourly rate limit — the bot pauses at the ceiling rather than reporting having crossed it.Runbear
attest_tag
Runbear
attest_tag
Runbear
attest_tag
Runbear
attest_tag
Runbear
attest_tag
Runbear
attest_tag
Runbear
attest_tag
Runbear
attest_tag
Runbear
“Not stated on their site.” means we read the pages below on 22 Sep 2026 and did not find it — not that the product lacks it. Ask them; a vendor that answers all ten in writing is a good sign about the vendor. If we have something wrong, tell us and we will fix the page.
Pages read: Runbear homepageRunbear pricingRunbear for EnterpriseRunbear docs: SlackRunbear docs: Agent settingsRunbear docs: Billing and creditsRunbear docs: Credits APIRunbear docs: Traces APIRunbear docs: Tool approvalsRunbear docs: Audit logRunbear docs: HIPAA Compliance
Questions
What people ask about Runbear and attest_tag.
Is attest_tag an open-source alternative to Runbear?
Can I run attest_tag on my own servers, and can I run Runbear?
Which model does each run on?
What does a turn cost?
Does Runbear hold a write for a human before it runs?
Can someone approve their own request?
More comparisons
The same ten questions, asked of the others.
- vs ViktorAn AI coworker you @mention in Slack and Microsoft Teams, with its own computer in the cloud, connections to 3,200+ tools, and a pause for approval in the thread before sensitive actions.
- vs DustA platform for creating, sharing and running agents that connect your company knowledge, tools and teams, mentioned as @Dust in Slack or triggered from Slack workflows.
- vs LindyLindy is an AI teammate that connects to your tools, knows about your company and does work for the whole team, from Slack DMs and channels or as scheduled routines.
- vs Slack AISlack’s built-in AI features and agents, sold with paid Slack plans and working inside Slack: “a powerfully simple way to be more productive, built with knowledge from your company.”
- vs ChatGPT for SlackOpenAI’s app for chatting one-on-one with ChatGPT in a dedicated Slack sidebar — summarising threads, drafting replies, searching Slack — with a companion ChatGPT Agents app for channels.
- vs DevinAn AI software engineer that ships pull requests the way your team does; you tag it in Slack or assign it a ticket in Linear.
- vs GleanAn enterprise AI platform that connects to a company's work apps and data sources to provide search, an assistant and agents across surfaces that include Slack and Microsoft Teams.
- vs GumloopAn AI agent platform where anyone at a company builds, shares and controls agents that connect to their apps and run on triggers, deployable to Slack channels and Microsoft Teams.
- vs MoveworksMoveworks is an AI Assistant platform for an entire workforce to search and act across business applications, reached through chat, web, intranets, service portals and mobile.
- vs OnyxOnyx is an open-source platform that connects to your enterprise knowledge and gives humans and agents context, with a chat and search UI, custom agents and a Slack bot.
- vs Relevance AIA platform for building and running “specialist agents for every task”, which its site calls “The home of the AI Workforce”, with agents that answer an @mention in Slack.
- vs Zapier AgentsZapier Agents lets you create AI teammates, equipped with company knowledge, that do work across 9,000+ apps on command and on triggers, from a web app, Chrome extension or Slack.
- vs Claude TagAnthropic’s own Slack teammate: Claude, hosted for you, first-party inside Slack.
Try both
Run both in the same channel for a week.
We mean it. attest_tag answers in threads, so it will not collide with whatever else is in the channel, and a week of your own questions settles this faster than any table.
Half an hour to set up, one channel to start, and the free plan needs no card. See what it costs.