Use the Datadog CLI from KosmoKrator to call Datadog tools headlessly, return JSON, inspect schemas, and automate workflows from coding agents, scripts, and CI.
Datadog can be configured headlessly with `kosmokrator integrations:configure datadog`.
# Install KosmoKrator first if it is not available on PATH.curl -fsSL https://raw.githubusercontent.com/OpenCompanyApp/kosmokrator/main/install.sh | bash# Configure and verify this integration.kosmokrator integrations:configure datadog --set api_key="$DATADOG_API_KEY" --set app_key="$DATADOG_APP_KEY" --enable --read allow --write ask --jsonkosmokrator integrations:doctor datadog --jsonkosmokrator integrations:status --json
Credentials
Authentication type: API keyapi_key. Configure credentials once, then use the same stored profile from
scripts, coding CLIs, Lua code mode, and the MCP gateway.
Key
Env var
Type
Required
Label
api_key
DATADOG_API_KEY
Secret secret
yes
API Key
app_key
DATADOG_APP_KEY
Secret secret
yes
Application Key
site
DATADOG_SITE
Select select
no
Datadog Site
Call Datadog Headlessly
Use the generic call form when another coding CLI or script needs a stable universal interface.
Every function below can be called headlessly. The generic form is stable across all integrations;
the provider shortcut is shorter but specific to Datadog.
datadog.datadog_list_monitors
Read read
List Datadog monitors. Optionally filter by name or tags. Returns monitor IDs, names, types, states, and query definitions.
Create a new Datadog monitor. Specify the monitor type, query, name, and optional message and thresholds. Common types: "metric alert", "service check", "event alert".
Query Datadog metrics between two timestamps. Use Datadog query syntax (e.g., "avg:system.cpu.user{env:production} by {host}"). Returns time series data points.
Create a new Datadog monitor. Specify the monitor type, query, name, and optional message and thresholds. Common types: "metric alert", "service check", "event alert".
Query Datadog metrics between two timestamps. Use Datadog query syntax (e.g., "avg:system.cpu.user{env:production} by {host}"). Returns time series data points.
Headless calls still follow the integration read/write permission policy. Configure read/write defaults
with integrations:configure. Add --force only for trusted automation that should bypass that policy.