Load Singpass data to DuckDB

Singpass APIs provide OpenID Connect authentication and identity services for relying parties to verify user identities and access information. Everything needed to build a working Singpass → 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 Singpass 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 Singpass 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 Singpass 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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Singpass API at a glance

These values come from the Singpass API reference — the authoritative source if anything here looks out of date.

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How do I authenticate with the Singpass API?

Singpass APIs use OAuth 2.0 with DPoP (Demonstrating Proof-of-Possession). Requests require an 'Authorization' header with the 'DPoP' prefix and a 'DPoP' header containing a signed DPoP proof JWT.

1. Get your credentials

To obtain access and credentials for Singpass APIs, follow these steps: 1. Log in to the Singpass Developer Portal (SDP) at https://developer.singpass.gov.sg using your Singpass account. 2. Ensure your Corppass Administrator has assigned your organization’s UEN and the 'Singpass API Developer and Partner Portal' digital service access to your account. 3. Within the portal, navigate to your app configuration page. 4. Create a new app (Staging or Production). 5. Upon app creation, you will be provided with a 'client_id' (App ID), which acts as your primary identifier for authentication. Note that Singpass APIs use OIDC/FAPI 2.0 standards, which rely on asymmetric authentication (JWKS/private keys) rather than static API keys.

2. Add them to .dlt/secrets.toml

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[sources.singpass_source]
client_id = "your_app_id_from_sdp"
jwks_url = "https://your-domain.com/.well-known/jwks.json"
redirect_uri = "https://your-domain.com/callback"

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 Singpass data can I load into DuckDB?

These are the Singpass endpoints dlt can load into DuckDB:

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How do I load only new Singpass records?

The Singpass 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": "person_v4", "endpoint": {
    "path": "com/v4/person/{sub}",
    # 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 Singpass pipeline look like?

A standard dlt REST API pipeline — the same code you would write by hand, loading pushed_authorization_request_endpoint and token_endpoint from the Singpass API into DuckDB:

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

@dlt.source
def singpass_source(client_assertion=dlt.secrets.value):
    config: RESTAPIConfig = {
        "client": {
            "base_url": "https://id.singpass.gov.sg",
            "auth": {"type": "api_key", "api_key": client_assertion, "name": "Authorization", "location": "header"},
        },
        "resources": [
            {"name": "person_v4", "endpoint": {"path": "com/v4/person/{sub}"}},
            {"name": "person_sg_verify_v2", "endpoint": {"path": "sgverify/v2/person/{uuid}"}}
        ],
    }
    yield from rest_api_resources(config)


def load_singpass_to_duckdb() -> None:
    pipeline = dlt.pipeline(
        pipeline_name="singpass_pipeline",
        destination="duckdb",
        dataset_name="singpass_data",
    )
    load_info = pipeline.run(singpass_source())
    print(load_info)


if __name__ == "__main__":
    load_singpass_to_duckdb()

Run it with python singpass_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 Singpass 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("singpass_pipeline").dataset()
df = data.person_v4.df()
print(df.head())

SQL:

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SELECT * FROM singpass_data.person_v4 LIMIT 10;

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

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How do I deploy the Singpass 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 Singpass 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 Singpass 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