Load Automox data to DuckDB

Automox is an endpoint management platform for managing organizations, devices, policies, and patches via a REST API. Everything needed to build a working Automox → DuckDB pipeline is on this page: the API's base URL, authentication, endpoints, pagination and incremental field — plus a prompt that hands the whole job to your coding agent.

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Build your Automox to DuckDB pipeline

Paste this prompt into Claude, Codex, or Cursor. The agent does the rest.

PromptCopy prompt
Run uvx dlthub-init@latest to build a pipeline from Automox to DuckDB and run it on dltHub

That scaffolds a dltHub workspace and installs the dltHub AI harness — the project rules, the secrets-management skill, and the dlt MCP server your agent needs to work safely. From there it reads the Automox API, proposes the endpoints to load, then writes, runs and validates the pipeline while you review rather than type. Credentials are inspected through MCP tools, so your agent never reads secrets.toml itself. How the LLM-native workflow works →

Prefer to write it yourself? Every fact the agent uses is below.

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Automox API at a glance

These values come from the Automox API reference — the authoritative source if anything here looks out of date.

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How do I authenticate with the Automox API?

Automox API requests require an API key passed in the Authorization header using the Bearer authentication scheme.

1. Get your credentials

1. Log in to your Automox console. 2. Navigate to Settings, then select Secrets & Keys. 3. Scroll to the Organization API Keys section. 4. If you have the appropriate permissions (Full Administrator or a custom role with 'Personal API Key: Manage'), you can view existing keys or click Add to create a new one. 5. Copy the key immediately, as it may not be visible again once navigated away from the creation view.

2. Add them to .dlt/secrets.toml

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[sources.automox_source]
api_key = "your_api_key_here"
org_id = "your_org_id_here"

dlt reads this file automatically at runtime. With the harness, the setup-secrets skill prompts you for the values and never handles the raw credential in chat. For production, see setting up credentials with dlt.

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What Automox data can I load into DuckDB?

These are the Automox endpoints dlt can load into DuckDB:

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How do I load only new Automox records?

Automox exposes create_time on events, so dlt can request only the records that changed since the last run. Set it as the cursor_path and dlt tracks the high-water mark for you between runs.

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{"name": "events", "endpoint": {
    "path": "events",
    "data_selector": "results",
    "incremental": {"cursor_path": "create_time", "initial_value": "2024-01-01T00:00:00Z"},
}}

On the first run dlt loads everything from initial_value; on every run after that it requests only what changed and appends with write_disposition="merge" if you set a primary key. See incremental loading.

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What does the generated Automox pipeline look like?

A standard dlt REST API pipeline — the same code you would write by hand, loading policies and servers from the Automox API into DuckDB:

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import dlt
from dlt.sources.rest_api import RESTAPIConfig, rest_api_resources

@dlt.source
def automox_source(api_key=dlt.secrets.value):
    config: RESTAPIConfig = {
        "client": {
            "base_url": "https://console.automox.com/api",
            "auth": {"type": "bearer", "token": api_key},
        },
        "resources": [
            {"name": "events", "endpoint": {"path": "events", "data_selector": "results"}},
            {"name": "policy_runs", "endpoint": {"path": "policy_runs", "data_selector": "results"}}
        ],
    }
    yield from rest_api_resources(config)


def load_automox_to_duckdb() -> None:
    pipeline = dlt.pipeline(
        pipeline_name="automox_pipeline",
        destination="duckdb",
        dataset_name="automox_data",
    )
    load_info = pipeline.run(automox_source())
    print(load_info)


if __name__ == "__main__":
    load_automox_to_duckdb()

Run it with python automox_pipeline.py. The agent iterates on this until it loads cleanly — you review and approve, rather than write it from scratch.

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How do I query Automox data in DuckDB?

dlt creates one table per resource. Query the loaded data with Python or SQL — or ask your agent to, through the MCP server's execute_sql_query tool.

Python (pandas DataFrame):

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import dlt

data = dlt.pipeline("automox_pipeline").dataset()
df = data.servers.df()
print(df.head())

SQL:

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SELECT * FROM automox_data.servers LIMIT 10;

See querying your data with dataset and exploring it in marimo notebooks.

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How do I deploy the Automox to DuckDB pipeline in production?

The pipeline runs locally, which is ideal for prototyping and one-off analysis. When you need it on a schedule, monitored on every load, and shared with your team, deploy the same dlt code on the dltHub platform — no infrastructure to maintain. The prompt above already ends with "run it on dltHub", so your agent can take it there directly.

• Deploy & schedule — run the pipeline as a managed job with automatic retries.
• Monitor — observable job queues, alerting, and load metrics for every run.
• Transform — promote raw Automox loads into governed, documented models.
• Visualize & share — explore data in notebooks and publish live dashboards instead of static screenshots.

Book a demo →

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What other destinations can I load Automox data to?

dlt loads into any of these — only the destination argument changes:

Set dlt.pipeline(destination="snowflake") and add credentials in .dlt/secrets.toml. On the dltHub platform the same pipeline runs against a managed Iceberg lakehouse. See the full destinations list.

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Next steps

• Ready for production? Book a demo of the dltHub platform →
• dlt LLM-native workflow docs
• REST API source reference
• Join the dlt community on Slack