Datadog

Your Datadog observability stack, powered by conversational AI agents

When internal teams or customers ask about service health, your AI agent queries Datadog metrics, searches logs, and checks monitor status in real time. Incident questions get answered in seconds instead of requiring engineers to open dashboards and dig through data manually.

Chosen by 800+ global brands across industries

Observability actions your agent performs

From live metric queries to incident lookups, your AI agent taps into Datadog's full monitoring API to surface infrastructure answers conversationally.

Datadog

Use Cases

Operational intelligence delivered through chat

See how engineering and support teams use AI agents to pull Datadog insights without switching context or waiting for someone to check dashboards manually.

Instant Incident Status for Stakeholders

A VP asks 'Is the checkout service down?' during a reported outage. Your AI Agent searches Datadog monitors tagged with the checkout service, retrieves the current alert state and incident timeline, and responds with severity level, affected endpoints, and estimated resolution. The VP gets a real-time update without interrupting the engineering team working the incident.

Self-Service Log Investigation

A developer troubleshooting a bug asks 'Show me error logs from the payment service in the last 30 minutes.' Your AI Agent constructs a Datadog log search query filtered by service:payment-service and status:error, retrieves matching log entries with timestamps and stack traces, and presents them in the conversation. Hours of dashboard browsing compressed into a single message.

Proactive SLO Health Reporting

Your customer success manager needs to confirm uptime before a quarterly review. Your AI Agent queries Datadog SLOs for the client's service tier, pulls current compliance percentages and remaining error budget, and formats a clean summary. The CSM walks into the meeting with accurate reliability data, assembled without filing a single ticket.

Try
Datadog

Datadog

FAQs

Frequently Asked Questions

What Datadog data can the AI agent access during a conversation?

The agent can query metrics via the Metrics API, search logs, list and inspect monitors, retrieve incidents, browse dashboards, check SLOs, and search APM traces. It uses your Datadog API Key and Application Key with the same permissions those keys carry in your organization. You control scope by generating keys with appropriate access levels.

How does the agent query Datadog metrics in real time?

When someone asks about a metric like CPU usage or request latency, the agent constructs a Datadog metrics query string, sets the time window, and calls the Query Metrics endpoint. Results come back as time-series data which the agent summarizes into a human-readable response with current values and trends.

Can the agent create or modify monitors in Datadog?

Yes, the integration supports creating, updating, muting, and unmuting monitors. You can configure the agent to allow or restrict write operations based on your team's governance policies. For example, allow read-only access for most users while enabling ops leads to mute monitors during maintenance.

Does Tars store copies of our Datadog metrics or logs?

No. The agent queries Datadog's API live during each conversation. Metrics, log entries, and incident details are fetched on demand and used only to generate the response. Tars does not maintain a separate copy of your observability data.

Which Datadog site regions does the integration support?

All Datadog site regions are supported, including US1, US3, US5, EU, and AP1. When connecting, you specify your site region alongside your API and Application keys. The agent routes all API calls to the correct regional endpoint automatically.

Can the agent search distributed traces for specific error patterns?

Yes. The agent uses Datadog's Trace Search API to find traces by service name, resource, error status, duration thresholds, or custom tags. It can also retrieve a specific trace by ID to show full span breakdowns, helping teams pinpoint where failures occur in a request chain.

How is this different from using Datadog's own Bits AI assistant?

Bits AI lives inside the Datadog UI. Tars AI Agents work across your customer-facing and internal channels, including WhatsApp, Slack, web chat, and SMS. Tars also connects to 600+ other tools, so a single conversation can pull Datadog metrics, check a Jira ticket, and update a Salesforce case in one flow.

What happens if the Datadog API key used has insufficient permissions?

The agent handles permission errors gracefully. If a query fails due to access restrictions, it informs the user that the requested data is unavailable and suggests contacting an admin to update key scopes. No sensitive error details are exposed to end users.

How to add Tools to your AI Agent

Supercharge your AI Agent with Tool Integrations

Don't limit your AI Agent to basic conversations. Watch how to configure and add powerful tools making your agent smarter and more functional.

Privacy & Security

We’ll never let you lose sleep over privacy and security concerns

At Tars, we take privacy and security very seriously. We are compliant with GDPR, ISO, SOC 2, and HIPAA.

GDPR
ISO
SOC 2
HIPAA

Still scrolling? We both know you're interested.

Let's chat about AI Agents the old-fashioned way. Get a demo tailored to your requirements.

Schedule a Demo