Datadog AI employee
A Superkind AI employee that checks deployments, investigates alerts, explains root causes, and documents incidents inside Datadog. Message it in Teams or Outlook, it does the work in Datadog and reports back with the result. Anything sensitive waits for your approval.
- Hosted in the EU
- GDPR data processing agreement
- Ready to start today
- Works in Teams, Slack and more
What is a Datadog AI employee?
A Datadog AI employee is an AI that connects to your Datadog account and completes work in it. It does not just answer questions about Datadog, it takes the actions: checking monitors, investigating incidents, analysing logs and traces, creating tickets. Superkind builds this AI employee with your company knowledge and delivers the finished result to wherever your team works.
Unlike workflow builders such as Zapier or Make, there is nothing to configure. No triggers, no zaps, nothing to maintain. You describe the outcome in plain English, the AI employee picks the right Datadog actions, chains them with your other systems, and asks for your approval before anything sensitive runs.
Datadog is an observability platform for infrastructure, applications, logs, traces, digital experiences, and security.
You ask in Teams
Describe what you need in plain English.
Superkind picks the actions
Selects the right Datadog actions and chains them together.
Superkind works in Datadog
Checks monitors, analyses logs, documents incidents. Your real data.
Superkind reports back
Delivers the finished result to Teams or Outlook.
What can you ask Superkind to do in Datadog?
Messages you would actually send. Copy one, swap in your specifics, and Superkind takes it from there.
“Check the latest deployment in Datadog and tell me which monitors triggered an alert afterwards.”
you, to @Superkind“Explain from the Datadog traces and logs why checkout has been returning errors since this morning.”
you, to @Superkind“Create a Jira ticket for this Datadog incident with the cause, priority, and affected service link.”
you, to @Superkind“Let me know here as soon as Datadog detects a new incident, with affected services and an initial cause.”
you, to @SuperkindHow does Superkind work with Datadog?
- Native integrations and connectors for 1,000+ tools
1Connect your systems
Datadog connects securely through API and application keys. Add Teams and the systems your team already uses, such as Outlook, Jira, or Slack. Datadog permissions stay limited to the agreed tasks. Superkind handles the setup and gets to work.
@Superkind please check in Datadog why the checkout error rate rose after the latest deployment and create an incident.
On it. Checking checkout in Datadog and creating the incident.
2Tell Superkind what you need
Message your AI employee in Teams like a colleague. Ask it to check an alert in Datadog or explain an error from logs and traces. Plain English is enough. Superkind picks the right actions itself.
- Monitor checkout latency triggered
- 5xx rate elevated since deployment
- Incident INC 184 created
Incident INC 184Waiting for your approvalMute the checkout monitor?3Superkind operates, you approve
Superkind opens Datadog, completes the work, and writes the result back in Teams. It evaluates monitors, logs, and incidents in context. Sensitive changes in Datadog wait for your approval. Every step is logged.
What can Superkind do in Datadog?
Ask in plain English from Teams or Outlook. Superkind picks the right Datadog actions, runs the work, and reports back. No workflows to build.
List monitors
Lists Datadog monitors with status, type, tags, and the latest triggered alert.
Inspect monitor
Reads the query, thresholds, notifications, and current status of a Datadog monitor.
Create monitor
Creates a Datadog monitor with a query, thresholds, message, and tags.
Update monitor
Changes the query, thresholds, or notifications of an existing Datadog monitor.
Mute monitor
Mutes a Datadog monitor or selected groups for a set period.
Delete monitor
Permanently deletes a Datadog monitor from the account.
List incidents
Lists Datadog incidents by status, severity, service, or time range.
Inspect incident
Reads the status, severity, timeline, commander, and affected services of an incident.
Declare incident
Creates a Datadog incident with a title, severity, and affected services.
Summarise incident
Summarises the timeline, signals, changes, and open tasks of a Datadog incident.
Search logs
Searches Datadog logs by service, status, host, tag, and time range.
Analyse traces
Analyses Datadog traces by service, resource, latency, error, and dependency.
Explain root cause
Connects logs, traces, deployments, and monitor alerts into a likely root cause.
Get events
Reads Datadog events for deployments, configuration changes, and monitor states.
Compare services
Compares error rate, latency, and throughput across multiple Datadog APM services.
List dashboards
Lists Datadog dashboards with title, author, tags, and modification date.
Inspect dashboard
Reads the widgets, queries, variables, and layout of a Datadog dashboard.
Create graph snapshot
Creates a Datadog snapshot for a metric and selected time range.
Query metrics
Queries Datadog metrics with aggregation, tags, and a time range.
List SLOs
Lists Datadog SLOs with target, time window, status, and remaining error budget.
Check SLO status
Checks target achievement, error budget, and history for a Datadog SLO.
Inspect Synthetic tests
Reads status, locations, assertions, and recent results from Datadog Synthetic tests.
Explain failed tests
Analyses failed Datadog Synthetic tests using assertions and run details.
List hosts
Lists Datadog hosts with status, sources, tags, and last reported data.
Check usage
Reads Datadog Usage Metering data for hosts, logs, metrics, and other products.
Create webhook
Creates a Datadog webhook integration with a URL, payload, and optional headers.
Superkind AI employees that work with Datadog
Every role brings its expertise and uses Datadog as one of its tools.
Companies working with Superkind
Frequently asked questions
Everything you need to know about your AI employee for Datadog.
Yes. Datadog is one of the integrations Superkind connects through a managed connector. Once connected, your team can put the AI employee to work in Datadog from Microsoft Teams or Outlook. It can inspect monitors, analyse logs and traces, summarise incidents, and report results. You need neither a workflow builder nor custom code.
An admin creates the required API and application keys in Datadog and grants only the agreed permissions. Superkind securely connects those credentials to the AI employee and checks the connection. We set this up with you during onboarding. Your team can then start tasks directly from Teams or Outlook.
It can inspect monitors and alerts, search logs and traces, explain root causes, create and summarise incidents, read dashboards, check SLOs and error budgets, and evaluate Synthetic tests. The list above shows typical Datadog actions. We define which actions your team actually uses together for each use case.
No. With Zapier or Make, you build triggers and steps and maintain them whenever something changes. With the AI employee, you describe the desired result in plain English. Superkind picks the right Datadog actions itself, connects them with Jira, GitHub, or Slack when needed, and asks if information is missing.
Only with your approval. Superkind can independently read and summarise monitors, alerts, logs, traces, and SLOs. Deleting, changing, or muting a monitor waits for a yes from a responsible person, directly in Teams. Your team decides which Datadog actions are sensitive and who is allowed to approve them.
The AI employee works with minimal Datadog permissions limited to the agreed tasks. Superkind is hosted in the EU and signs a GDPR data processing agreement with you. Your data is not used to train models. Every action is logged so your team can trace access and changes.
Datadog Infrastructure Pro publicly starts at about 15 US dollars and Enterprise at about 23 US dollars per host per month with annual billing. Zapier starts at about 20 euros and Make at about 10 euros per month, both plus setup time. Superkind is priced per use case, a fraction of a full-time hire. Your Datadog licence is additional.