Stripe

Create a Faraday-managed connection between Faraday and Stripe so that your data is always up to date to make predictions.

Options for connecting to Stripe

Use your data infrastructure (recommended)

For batch use cases, you can use your data warehouse like BigQuery or Snowflake as an intemediary to Stripe.

Sending data to Faraday

Use an ETL product like Stitch Data, Fivetran, or Airbyte to send data into your data warehouse, and then connect Faraday to your data warehouse.

Receiving data from Faraday

Have Faraday send predictions to your data warehouse, and then use an Reverse ETL product like Hightouch, Census, or Growthloop to deploy your predictions back to Stripe. This allows an ongoing sync of predictions with a 8–24 hour turnaround.

For real time predictions

For real time use cases, you can use the Zapier app for Faraday. This allows you to receive predictions in real time based on incoming data.

Most successful Faraday clients have both a batch and a real-time integration, allowing instant predictions but also efficient ongoing mass updates.

As a backup, you can pass data back and forth using CSVs.

Have Faraday manage deployment for you

This is a paid add-on. To set up managed deployment to Stripe, please contact support.