Visualize User Income with our AtomicFi, Pinwheel, and Argyle Integrations
We’ve released integrations with several income and employment data sources, including Atomic Financial, Pinwheel, and Argyle.
Pave’s integrations with Atomic Financial, Pinwheel, and Argyle enrich a user’s income inflows from their bank transactions with data such as payment schedule, wage amount, and shifts worked. This allows you to get a robust and unified picture of a user’s income stream(s), including predictions for how much and when a user will get paid next.
Use Cases
- Improve loan repayment rates: Reduce returned loan payments, delinquencies, and defaults with Pave’s next_date prediction
- Drive lift in credit risk models: Generate more accurate income Attributes and Scores by enriching income sources detected in bank transaction data with payroll and employment information.
Here are some FAQs to get you started.
Which Atomic, Pinwheel, and Argyle payloads can I upload to the Pave API?
You can upload the following payloads to the Pave API:
- Atomic Financial
- Pinwheel
- Argyle
How can I upload Atomic, Pinwheel, and Argyle payloads to the Pave API?
You can read about uploading these payloads on the Atomic, Pinwheel, and Argyle upload pages of our docs.
Announcing the Custom Data Upload Endpoint
