Confluence Page Watch Agent with OpenClaw
Every published page and every update in the spaces you watch starts a short run, and most of them end without a message because the edit was minor. Cost is therefore a function of how much your wiki genuinely moves. OpenClaw keeps it going for about as little effort as anything here, asking only for a Confluence read credential and a Slack channel.
Watch it work before it's live
Run a staged conversation — no account needed. The agent handles it for real while a simulated world answers its tool calls; nothing touches real accounts, and nothing is actually sent.
Pricing and discount policy 2027
Rewritten rather than edited, version 14. The volume discount ladder now starts at 250 seats instead of 500, a 12 percent nonprofit rate is added, and the line letting reps approve up to 20 percent is replaced by a 10 percent cap with the regional director required above that. Labels are pricing, policy and sales. The editor comment reads final after Tuesday's call.
Set up in minutes
Using this template drops you into a guided setup. It asks exactly this, nothing else:
Connect Confluence
One sign-in. The agent acts through your account, scoped to what this template uses.
Connect Slack
One sign-in. The agent acts through your account, scoped to what this template uses.
Digest rules
Which spaces and labels you care about, what counts as a minor edit not worth a message, who reads the channel, and which kinds of page matter enough to be called out by name.
Runs on OpenClaw
Preselected for this page — connect your OpenClaw account during setup, or switch to NoClick's built-in models with one click.
Watch it handle a test run
A staged conversation against a simulated world — then it’s live.
Why OpenClaw for this agent
Cheap on the quiet edits
A typo pass costs one fetch and a decision. The three bullet write up only happens for the pages your rules say matter.
Nobody has to own it
Once the rules are written there is no maintenance surface at all. It keeps watching whether or not anyone remembers it exists.
Before you fork
Our spaces mix English and Spanish pages. What language are the bullets in?
Whatever the model you connect produces, which normally follows the page unless your rules say otherwise. If the channel reads in one language, put that in your rules and the bullets come back in it regardless of the page. Mixed language pages are the weak case, because a summary drawn from two languages tends to read blander than one drawn from either.
Run it with a different agent
Put Confluence Page Watch Agent to work on OpenClaw
Free to start. Guided setup, a test run against staged conversations, and it's live.