Automated Monitoring & Reporting
A scheduled workflow that pulls data on a cadence, has an agent assess it, branches on what matters, and reports the result. This pattern fits health checks, metric digests, security/log review, competitive monitoring, and more.
The Approach
- Schedule trigger — run the workflow on a cron cadence (hourly, daily, etc.). See Triggers.
- Fetch the data — use an
http_requestnode to call your data source's API (monitoring tool, log endpoint, metrics service). For sources with an MCP server (e.g. Datadog, Sentry, PagerDuty, Grafana), attach that MCP server to the analyst agent instead. - Analyst agent — classify events by severity, extract what matters, and produce a concise summary. Add
web_searchif it needs to enrich findings with current context. - Branch on importance — a Condition node checks whether anything actionable was found (extract the field first with a Transform node if the agent emits JSON).
- Report / alert — send urgent items via an
http_requestnode (or a Slack/PagerDuty MCP), and post the routine digest to your channel of choice.
Variations
- Daily digest — skip the alert branch; just summarize and post once a day.
- Threshold alerting — only notify when the analyst flags severity above a level you set.
- Trend view — link the workflow to a Canvas to chart results over time.
Patterns Used
| Pattern | Where |
|---|---|
| Scheduled runs | Schedule trigger |
| External data | http_request node or a monitoring MCP server |
| Branching on findings | Condition node + Transform |
| Notification | http_request node or a Slack/PagerDuty MCP |