OTHER

Sensor Anomaly Triage Agent with Vendor Lookup

An agent investigates an incoming sensor anomaly — pulling recent readings from Datadog and the asset's maintenance history from Airtable — then decides whether to self-resolve.

CategoryOther
Enginepaperclip
Difficultyadvanced
Triggerwebhook
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerAnomaly event webhook from monitoringHTTP webhook
  • ActionPull recent reading trend from DatadogDatadogDatadog
  • ActionLook up asset history and warranty in AirtableAirtableAirtable
  • LogicAgent decides resolve, task, or vendor dispatch
  • ActionCreate Asana repair taskAsanaAsana
  • OutputEmail decision and rationale to managerGmailGmail

What it does

Acts as a first-pass triage analyst for facilities anomalies. Instead of a fixed branch, an agent reasons over the live metric trend and the asset's repair history to decide the right action: ignore a transient blip, open a routine task, or escalate to the vendor under warranty.

When to use it

Use this when anomalies need judgment — distinguishing a one-off spike from a degrading compressor — and you want the routing decision and rationale recorded rather than hard-coded.

How it works

  1. 1An HTTP webhook delivers the anomaly event from your monitoring layer.
  2. 2The agent queries Datadog for the asset's recent reading trend.
  3. 3The agent looks up the asset's maintenance history and warranty status in Airtable.
  4. 4Using both, the agent decides: self-resolve transient, create an Asana task for routine repair, or both create a task and email the vendor for warranty service.
  5. 5A final email confirms the decision and rationale to the facilities manager.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect HTTP webhookTrigger any URL on agent actions.
  2. 2
    Connect DatadogMetrics, traces, log search.
  3. 3
    Connect AirtableBases, tables, views, automations.
  4. 4
    Connect AsanaTasks, projects, milestones — everywhere.
  5. 5
    Connect GmailRead, draft, send, label.
  6. 6
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  7. 7
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  8. 8
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

Run this workflow in your colony.

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