Load Adyen data to DuckDB

Adyen provides a suite of APIs for payment processing, subscription billing, and payout management across various financial services endpoints. Everything needed to build a working Adyen → 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 Adyen 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 Adyen 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 Adyen 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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Adyen API at a glance

These values come from the Adyen API reference — the authoritative source if anything here looks out of date.

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How do I authenticate with the Adyen API?

Adyen supports API Key authentication via the 'X-API-Key' header or Basic authentication via the 'Authorization' header. For API key authentication, the header value is the raw API key; for Basic authentication, it is 'Basic ' followed by the base64-encoded 'username:password' string.

1. Get your credentials

1. Log in to your Adyen Customer Area.
2. Select your Company account.
3. Navigate to Developers > API credentials.
4. Select the API credential for your integration (e.g., ws_123456@Company.[YourCompanyAccount]).
5. Under the Server settings section, select the API key tab.
6. Click Generate API key.
7. Copy the generated key immediately and store it securely. You cannot view it again after leaving the page.
8. Click Save changes.

2. Add them to .dlt/secrets.toml

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[sources.adyen_source]
api_key = "AQE..."

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 Adyen data can I load into DuckDB?

These are the Adyen endpoints dlt can load into DuckDB:

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How do I load only new Adyen records?

The Adyen 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": "transactions", "endpoint": {
    "path": "/transactions",
    # 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 Adyen pipeline look like?

A standard dlt REST API pipeline — the same code you would write by hand, loading payments and platforms (or management API endpoints) from the Adyen API into DuckDB:

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

@dlt.source
def adyen_source(api_key=dlt.secrets.value):
    config: RESTAPIConfig = {
        "client": {
            "base_url": "Adyen API base URLs are service-specific and environment-dependent (e.g., https://checkout-test.adyen.com or https://management-live.adyen.com), requiring the use of a unique merchant-specific live URL prefix for production environments.",
            "auth": {"type": "api_key", "api_key": api_key, "name": "x_api_key"},
        },
        "resources": [
            {"name": "transactions", "endpoint": {"path": "/transactions", "data_selector": "data"}},
            {"name": "stores", "endpoint": {"path": "/stores", "data_selector": "data"}}
        ],
    }
    yield from rest_api_resources(config)


def load_adyen_to_duckdb() -> None:
    pipeline = dlt.pipeline(
        pipeline_name="adyen_pipeline",
        destination="duckdb",
        dataset_name="adyen_data",
    )
    load_info = pipeline.run(adyen_source())
    print(load_info)


if __name__ == "__main__":
    load_adyen_to_duckdb()

Run it with python adyen_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 Adyen 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("adyen_pipeline").dataset()
df = data.transactions.df()
print(df.head())

SQL:

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SELECT * FROM adyen_data.transactions LIMIT 10;

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

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How do I deploy the Adyen 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 Adyen 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 Adyen 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