Integration with Stripe centralizes online payment transaction data, enabling more accurate revenue analysis and insight into cancellation rates. For example, SQL and Python can be used to automate the aggregation of sales figures and user purchase behavior, while MDX-powered dashboards offer intuitive visualization of time-series trends and payment statuses. Moreover, by analyzing refund and chargeback data, organizations can enhance risk management and streamline their payment processes. Through Morph, these data-driven activities become seamlessly integrated, supporting faster, more precise decision-making across the entire team.
Once the integration is created, you can retrieve an AccessToken using the integration name from get_auth_token. With this token, you can proceed with data processing using the API.
import pandas as pd
import morph
from morph import MorphGlobalContext
from morph_lib.api import get_auth_token
@morph.funcdefget_salesforce_opportunities(context: MorphGlobalContext)-> pd.DataFrame: access_token = get_auth_token("salesforce-connection-name")# ↓↓↓ call API with access_token ↓↓↓