Investigate an error spike while it is still spiking
An investigation note that starts with a timeline instead of a blank page. Built for an on-call engineer who gets an alert and a blank page to start from.
Sentry
GitHub
Datadog
Slack
5 steps4 integrationsRuns on alert
The alert says something broke, not what changed. What it costs while the work is still done by hand.
- 01The alert says something broke, not what changed.
- 02Correlating the spike with a deploy is manual every time.
- 03The context is assembled from scratch at 3am.

Read errors1,204 events · 40 min
Find deploys2 merges in the window
Check metricscheckout-api · same window
- Write notetimeline · 2 candidates
Post to Slackpost_message · #inc-checkout
One workflow, five steps. ModuleX drafts this graph from a single sentence, and every step stays editable.
- 01Read the error group and its recent frequency.
Sentry
- 02Find deploys and merges in the same window.
GitHub
- 03Check whether related services show the same window.
Datadog
- 04Assemble a short investigation note with the timeline.ModuleX
- 05Post it to the incident channel.
Slack
The workflow is an editable graph. Reading runs freely; post it to the incident channel waits for your opt-in approval until you loosen it. The graph is the receipt.
A timeline, not a blank page. Paste this into ModuleX chat, or hit Use this workflow.

investigate an error spike while it is still spiking: read the error group and its recent frequency; find deploys and merges in the same window; check whether related services show the same window; assemble a short investigation note with the timeline. Ask me before anything is sent or written.
to: composerOr skip the workflow entirely. Ask the assistant in chat and it runs the same job agentically: it picks the right actions, chains them, and reports back. The composer is for when you want it repeatable.

Investigate an error spike while it is still spiking. An investigation note that starts with a timeline instead of a blank page.
sentry · list_issue_events
github · list_pull_requests
datadog · search_logs
An investigation note that starts with a timeline instead of a blank page.
Where this fits. The tools it runs on, and the teams that run it.
Keep the momentum. Nearby workflows that reuse the accounts you just connected.
Check database health without opening the dashboardA short, regular status that tells you when something moved out of range, and stays quiet otherwise. Built for a small team with no dedicated operations engineer.
Put an external MCP server to workA tool that was not in the catalog, usable in the same place as the 175+ that are. Built for teams with internal tools that no catalog will ever cover.
Start the day knowing what moved in the repoA short brief showing what shipped and what is waiting on a person. Built for an engineering manager reconstructing yesterday from notifications.
About this use case.
No. It gathers the correlating facts; the diagnosis is yours.