• STATUS
  • BUDGET
  • RISK
  • HUMAN

How to track SLO compliance with your AI

Connect Datadog to your AI client to monitor service health. Once connected, your agent can pull real-time SLO data and budget status.

Ask AI about this page

Short answer

How can I track SLO compliance with my AI?

Your AI uses Datadog to check service level objectives and error budgets. It identifies which services are nearing a breach so you can act before targets are missed. This breakdown shows how it works.

The outcomes

What you get from your AI

Your agent turns Datadog telemetry into clear status updates.

STATUS

Current SLO health

The AI pulls your active objectives. You see exactly how each service is performing against its target.

BUDGET

Error budget tracking

Your agent calculates how much budget remains. You'll know how much room you have before a breach occurs.

RISK

Breach warnings

The AI flags services trending toward a violation. You get early notice of potential service degradation.

HUMAN

Manual decisions

The AI identifies the risk, but you decide how to fix it. You stay in control of all incident responses.

The workflow

What your AI does when the data arrives.

Your AI handles the data retrieval so you can focus on the response.

  1. Identify objectives

    The AI finds all defined service level objectives in your account.

    list_slos

  2. Fetch metrics

    The agent pulls the specific telemetry needed to check performance.

    query_metrics

  3. Check budget

    It uses metric data to see how much error budget is left.

    query_metrics

  4. Report status

    The AI summarizes the compliance state of your services.

    list_slos

Try it

Copy these to start.

Use these prompts to check your Datadog status.

Starting points

Swap the bracketed text for your actual service names or tags.

Datadog Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_pCs8gaBRSNau7exJae9C6MPyEaXc4N3mFANNYVEO/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Datadog capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "datadog-extended-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_pCs8gaBRSNau7exJae9C6MPyEaXc4N3mFANNYVEO/mcp"
    }
  }
}
Copy into chat04

  • List all my current SLOs in Datadog.

  • Which services are closest to breaching their error budget?

  • Check the error budget status for the [service name] service.

  • Summarize the SLO compliance for services tagged with [tag name].

  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Start here

Connect Datadog once, then ask.

One secure connection gives your AI access to your Datadog data. The full walkthrough is on the Connector page.

Connect Datadog to your AI

FAQ

How this task behaves

  • 01

    Can the AI change my SLO targets?

    No. The AI can only read SLO data and metrics. It cannot modify your Datadog configurations.

  • 02

    Can the AI create new monitors?

    No. The AI is limited to reading existing SLOs and querying metrics.

  • 03

    Does the AI run on a schedule?

    No. The AI only pulls data when you ask it a question in your chat client.

  • 04

    Can I check specific time ranges?

    Yes. You can ask your agent to look at metrics for a specific window of time.

  • 05

    Can the AI delete my metrics?

    No. The AI has no capability to delete or alter any data in Datadog.

  • More questions about Datadog? See everything the Datadog Connector can do

Connect Datadog to Claude, Cursor, ChatGPT & more