Load Cisco Secure Email data to DuckDB

Cisco Secure Email (AsyncOS) provides a REST API for accessing email gateway reporting, tracking, and quarantine data. Everything needed to build a working Cisco Secure Email → 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 Cisco Secure Email 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 Cisco Secure Email 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 Cisco Secure Email 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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Cisco Secure Email API at a glance

These values come from the Cisco Secure Email API reference — the authoritative source if anything here looks out of date.

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How do I authenticate with the Cisco Secure Email API?

Authentication is performed by submitting credentials in the 'Authorization' header or by using a JWT token in a custom header named 'jwtToken'. The 'Authorization' header expects base64-encoded username and password, while the 'jwtToken' header is used for subsequent requests after generating the token via the /login endpoint.

1. Get your credentials

The Cisco Secure Email environment supports two primary authentication paths depending on your product variant: 1) For the AsyncOS API (on-premises/gateway), authenticate using either Base64-encoded username/passphrase or a JSON Web Token (JWT) obtained by sending credentials to the login endpoint. 2) For the Cloud-based Secure Email Threat Defense API, log in to the management UI, navigate to 'Administration > API Clients', select 'Add New Client' to generate a Client ID and Client Secret, and also generate an API Key on the API Key page.

2. Add them to .dlt/secrets.toml

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[sources.cisco_secure_email_source]
client_id = "your_client_id_here"
client_secret = "your_client_secret_here"
api_key = "your_api_key_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 Cisco Secure Email data can I load into DuckDB?

These are the Cisco Secure Email endpoints dlt can load into DuckDB:

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How do I load only new Cisco Secure Email records?

The Cisco Secure Email API reference does not document a timestamp or sequence field for these endpoints, so there is nothing to advertise here as verified. Pick a field from the endpoints table above that increases with every write, then set it as the cursor_path.

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{"name": "reporting_report", "endpoint": {
    "path": "api/v2.0/reporting/report",
    # Replace with a field that increases on every write.
    "incremental": {"cursor_path": "REPLACE_ME", "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 Cisco Secure Email pipeline look like?

A standard dlt REST API pipeline — the same code you would write by hand, loading /esa/api/v2.0/login and /v1/oauth/token from the Cisco Secure Email API into DuckDB:

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

@dlt.source
def cisco_secure_email_source(jwt_token=dlt.secrets.value):
    config: RESTAPIConfig = {
        "client": {
            "base_url": "https://{appliance}:{port}/esa/api/v2.0/",
            "auth": {"type": "api_key", "api_key": jwt_token, "name": "Authorization", "location": "header"},
        },
        "resources": [
            {"name": "reporting_report", "endpoint": {"path": "api/v2.0/reporting/report"}},
            {"name": "message_tracking_messages", "endpoint": {"path": "api/v2.0/message-tracking/messages"}}
        ],
    }
    yield from rest_api_resources(config)


def load_cisco_secure_email_to_duckdb() -> None:
    pipeline = dlt.pipeline(
        pipeline_name="cisco_secure_email_pipeline",
        destination="duckdb",
        dataset_name="cisco_secure_email_data",
    )
    load_info = pipeline.run(cisco_secure_email_source())
    print(load_info)


if __name__ == "__main__":
    load_cisco_secure_email_to_duckdb()

Run it with python cisco_secure_email_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 Cisco Secure Email 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("cisco_secure_email_pipeline").dataset()
df = data.message_tracking_messages.df()
print(df.head())

SQL:

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SELECT * FROM cisco_secure_email_data.message_tracking_messages LIMIT 10;

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

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How do I deploy the Cisco Secure Email 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 Cisco Secure Email 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 Cisco Secure Email 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