MARKETING
Datadog Deliverability Anomaly: Agent Diagnoses Domain and Emails Owner a Remediation Plan
When Datadog fires a deliverability-anomaly alert by domain, an agent gathers the recent send and bounce evidence, diagnoses the likely root cause, pauses sends to that domain.
How it runs
The automated pipeline, trigger to output.
- TriggerDatadog deliverability anomaly alertDatadog
- ActionGather send, bounce, and auth evidencePostgres
- LogicAgent diagnoses likely root cause
- ActionPause sends to affected domainPostgres
- ActionEmail owner the remediation planGmail
- OutputPost summary to SlackSlack
What it does
This workflow turns a Datadog monitor alert into a diagnosed, actioned incident. When Datadog detects an anomalous bounce or complaint trend for a recipient domain, an agent pulls the relevant send history, recent bounce reason codes, and DNS/auth signals from your data, reasons about the most probable cause (auth failure, content trigger, list-source rot, or provider throttling), pauses further sends to the domain, then writes and emails the list owner a plain-language remediation plan backed by the evidence it found.
When to use it
Use this when you already monitor email metrics in Datadog and want the alert to arrive at the owner already diagnosed, not as a raw threshold breach they have to investigate from scratch. It compresses the time between detection and a clear next action.
How it works
- 1A Datadog monitor alert fires for a flagged recipient domain.
- 2Postgres returns recent sends, bounce reason codes, and auth-result data for that domain.
- 3The agent diagnoses the most likely root cause from the evidence.
- 4Postgres pauses queued sends to the affected domain.
- 5Gmail emails the list owner a remediation plan with the diagnosis and data.
- 6Slack drops a short summary into the deliverability channel.
Set it up
What you configure once, before turning it on.
- 1Connect DatadogMetrics, traces, log search.
- 2Connect PostgresAny Postgres URL — query, write, migrate.
- 3Connect GmailRead, draft, send, label.
- 4Connect SlackChannels, DMs, threads, mentions.
- 5Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 6Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 7Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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Run it inside a business
This workflow drops into a full company template. Import the org, and this is one of the playbooks its agents run.
Run this workflow in your colony.
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