Send Pagar.me data to AI, reports, spreadsheets and ETL

Kondado’s Pagar.me data source includes 8 pipelines with 344 total fields, covering Customers, Customers: Cards, Customers: Addresses, Charges, Balance Operations, Orders, Recipients, and Receivables endpoints.

The Kondado platform takes care of refreshing Pagar.me data, allowing you to stop wasting time with manual work and complex workflows, and focus on analyzing Pagar.me data with AI (Claude, ChatGPT and MCP) or in your report, spreadsheet, data warehouse, data lake, or database

Marketing teams leverage customer and order data to optimize acquisition campaigns and calculate lifetime value, while finance teams use Balance Operations and Receivables pipelines to forecast cash flow and reconcile settlements. Operations managers monitor transaction success rates and charge patterns to identify fraud trends or payment method preferences. Data analysts combine these pipelines to build unified dashboards showing customer journey from first contact through repeat purchases, enabling strategic decisions about payment optimization and customer retention strategies.

Available Pagar.me Pipelines

The following pipelines deliver specific Pagar.me datasets directly to your preferred analytics environment. The Customers pipeline provides comprehensive demographic and contact data essential for segmentation analysis and retention studies, while the Charges pipeline captures transaction amounts, dates, and processing statuses for detailed revenue tracking. Analyze the Orders pipeline to understand purchase patterns, cart values, and completion rates across different time periods, or use the Receivables pipeline to monitor pending settlements, expected cash flow timing, and payment anticipation strategies. The Balance Operations pipeline records every financial movement including fees, chargebacks, and adjustments necessary for accurate accounting reconciliation, while Customers: Addresses enables geographic analysis of your customer base and regional sales performance. Combining the Customers: Cards pipeline with Charges data reveals payment method preferences and authorization success rates by card brand, while linking Recipients to Orders clarifies complex marketplace commission structures and split payment distributions. With automated updates on a configurable schedule ranging from every 5 minutes to daily intervals, your payment KPIs and financial metrics remain current without requiring manual data refreshes.