ACI Enterprise Payments Platform Python API Docs | dltHub

ACI Open Payment Platform provides a unified RESTful API for accepting and managing card and alternative payment transactions through various integrations including Server-to-Server and BackOffice. The REST API base URL is https://eu-prod.oppwa.com and All requests require an Authorization Bearer token in the header and a channel entityId in the request body..

dlt is an open-source Python library that handles authentication, pagination, and schema evolution automatically. dlthub provides AI context files that enable code assistants to generate production-ready pipelines. Install with uv add "dlt[hub]" and start loading ACI Enterprise Payments Platform data in under 10 minutes.

---

What data can I load from ACI Enterprise Payments Platform?

Here are some of the endpoints you can load from ACI Enterprise Payments Platform:

---

How do I authenticate with the ACI Enterprise Payments Platform API?

All requests are authenticated using an 'Authorization: Bearer ' HTTP header. Additionally, a channel 'entityId' is required as a body parameter.

1. Get your credentials

To obtain API credentials for the ACI Connetic platform, follow these steps: 1. Register for an account on the ACI Connetic Developer Portal. 2. Complete email verification and account activation. 3. Log in to the Developer Portal and navigate to the application management section. 4. Register a new application to receive your default Client ID and Client Secret. 5. Use the Control Center to add specific API products to your registered application. 6. Use these credentials to request an OAuth 2.0 access token (JWT) via the supported grant types. Note: For the ACI Open Payment Platform (PAY.ON gateway), credentials (Bearer token and entityId) are retrieved directly from the merchant backend portal under Administration > Account data > Merchant / Channel Info.

2. Add them to .dlt/secrets.toml

Copy
[sources.aci_enterprise_payments_platform_source]
client_id = "your_client_id_here"
client_secret = "your_client_secret_here"
# For Open Payment Platform (PAY.ON) integrations:
# bearer_token = "your_bearer_token_here"
# entity_id = "your_entity_id_here"

dlt reads this automatically at runtime — never hardcode tokens in your pipeline script. For production environments, see setting up credentials with dlt for environment variable and vault-based options.

---

How do I set up and run the pipeline?

Set up a virtual environment and install dlt:

Copy
uv init
uv add "dlt[hub]"

1. Install the dlt AI harness:

Copy
uv run dlthub ai init --agent <your-agent> # <agent>: claude | cursor | codex

This installs project rules, a secrets management skill, appropriate ignore files, and configures the dlt MCP server for your agent. Learn more →

2. Install the rest-api-pipeline toolkit:

Copy
uv run dlthub ai toolkit install rest-api-pipeline

This loads the skills and context about dlt the agent uses to build the pipeline iteratively, efficiently, and safely. The agent uses MCP tools to inspect credentials — it never needs to read your secrets.toml directly. Learn more →

3. Start LLM-assisted coding:

Use /find-source to load data from the ACI Enterprise Payments Platform API into DuckDB.

The rest-api-pipeline toolkit takes over from here — it reads relevant API documentation, presents you with options for which endpoints to load, and follows a structured workflow to scaffold, debug, and validate the pipeline step by step.

4. Run the pipeline:

Copy
uv run python aci_enterprise_payments_platform_pipeline.py

If everything is configured correctly, you'll see output like this:

Copy
Pipeline aci_enterprise_payments_platform_pipeline load step completed in 0.26 seconds
1 load package(s) were loaded to destination duckdb and into dataset aci_enterprise_payments_platform_data
The duckdb destination used duckdb:/aci_enterprise_payments_platform.duckdb location to store data
Load package 1749667187.541553 is LOADED and contains no failed jobs

Inspect your pipeline and data:

Copy
uv run dlthub show

This opens the Pipeline Dashboard where you can verify pipeline state, load metrics, schema (tables, columns, types), and query the loaded data directly.

---

Python pipeline example

This example loads Access Control and Core Banking Party Lookup from the ACI Enterprise Payments Platform API into DuckDB. It mirrors the endpoint and data selector configuration from the table above:

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

@dlt.source
def aci_enterprise_payments_platform_source(entityid=dlt.secrets.value):
    config: RESTAPIConfig = {
        "client": {
            "base_url": "https://eu-prod.oppwa.com",
            "auth": {"type": "bearer", "token": entityid},
        },
        "resources": [
            {"name": "payments", "endpoint": {"path": "payments"}},
            {"name": "enrollments", "endpoint": {"path": "enrollments"}}
        ],
    }
    yield from rest_api_resources(config)


def get_data() -> None:
    pipeline = dlt.pipeline(
        pipeline_name="aci_enterprise_payments_platform_pipeline",
        destination="duckdb",
        dataset_name="aci_enterprise_payments_platform_data",
    )
    load_info = pipeline.run(aci_enterprise_payments_platform_source())
    print(load_info)

To add more endpoints, append entries from the resource table to the "resources" list using the same name, path, and data_selector pattern.

---

How do I query the loaded data?

Once the pipeline runs, dlt creates one table per resource. You can query with Python or SQL.

Python (pandas DataFrame):

Copy
import dlt

data = dlt.pipeline("aci_enterprise_payments_platform_pipeline").dataset()
sessions_df = data.payments.df()
print(sessions_df.head())

SQL (DuckDB example):

Copy
SELECT * FROM aci_enterprise_payments_platform_data.payments LIMIT 10;

In a marimo or Jupyter notebook:

Copy
import dlt

data = dlt.pipeline("aci_enterprise_payments_platform_pipeline").dataset()
data.payments.df().head()

See how to explore your data in marimo Notebooks and how to query your data in Python with dataset.

---

What destinations can I load ACI Enterprise Payments Platform data to?

dlt supports loading into any of these destinations — only the destination parameter changes:

Change the destination in dlt.pipeline(destination="snowflake") and add credentials in .dlt/secrets.toml. See the full destinations list.

---

Next steps

Continue your data engineering journey with the other toolkits of the dltHub AI harness:

• data-exploration — Build custom notebooks, charts, and dashboards for deeper analysis with marimo notebooks.
• dlthub-platform — Deploy, schedule, and monitor your pipeline in production.

Copy
uv run dlthub ai toolkit install data-exploration
uv run dlthub ai toolkit install dlthub-platform

• How to deploy a pipeline
• How to explore your data in marimo Notebooks
• How to query your data in Python with dataset
• Join the dlt community on Slack