What specific client information can I extract from ASAAS using Kondado?

Kondado extracts comprehensive client profiles from ASAAS including full names, email addresses, tax identifiers (CPF/CNPJ), and geographic details such as city and state locations. This information enables you to build detailed customer databases for segmentation and regional analysis in your preferred analytics tool.

How often can I update my ASAAS payment data in the destination system?

Kondado offers flexible scheduling options for ASAAS data replication, allowing you to configure updates as frequently as every five minutes or as infrequently as once daily depending on your business needs. This ensures your financial reports reflect the most recent payment activities without manual intervention.

Which BI tools work with ASAAS data replicated through Kondado?

You can deliver ASAAS data to leading business intelligence platforms including Power BI , Looker Studio , and database destinations like BigQuery or PostgreSQL . These connections enable you to create custom dashboards visualizing payment trends and client metrics.

Can I analyze ASAAS payment status and billing types together with client location data?

Yes, Kondado allows you to replicate both the Clients and Payments pipelines simultaneously, enabling you to join client location data with payment status and billing type information. This cross-analysis reveals regional payment behaviors and helps identify which geographic areas or billing methods correlate with faster collections.

What types of payment analytics can I build with ASAAS data in BigQuery?

With ASAAS data in BigQuery , you can construct queries analyzing payment velocity, discount impact on cash flow, and interest accrual patterns across different customer segments. These analyses support sophisticated financial modeling and automated reporting for stakeholder presentations.

How do I connect my ASAAS account to Kondado without coding?

Connecting ASAAS to Kondado requires no coding knowledge: simply authenticate your ASAAS account through Kondado's interface and select which data pipelines you wish to replicate. The platform handles the technical complexity of ASAAS API connections and data extraction automatically.

Can I send ASAAS data to both Google Sheets and PostgreSQL simultaneously?

Kondado supports multi-destination workflows, allowing you to send ASAAS client and payment data to Google Sheets for operational spreadsheets while simultaneously loading the same datasets into PostgreSQL for structured database analysis. This flexibility ensures different teams can access ASAAS data in their preferred formats.

What insights can I gain from tracking discounts and interest in ASAAS payments?

The Payments pipeline includes fields tracking discounts applied and interest charged on transactions, enabling you to analyze promotion effectiveness and late payment penalties. You can calculate net revenue impacts, identify which discount strategies accelerate payments, and monitor collections efficiency through these financial metrics.

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Connect ASAAS Data to Dashboards and Databases

Access comprehensive ASAAS data including detailed client profiles with CPF/CNPJ identifiers, contact information, and geographic locations, alongside complete payment histories featuring transaction values, billing types, and discount structures. Kondado enables you to extract this financial information directly from your ASAAS account and deliver it to any analytics environment, eliminating manual data exports. Transform raw payment records and customer details into actionable business intelligence without writing a single line of code, enabling immediate analysis of your financial operations.

Kondado’s ASAAS data source provides direct access to 2 comprehensive pipelines containing 128 total fields, covering complete client information and detailed payment transactions including status tracking, interest calculations, and billing method diversity.

The Kondado platform takes care of refreshing ASAAS data, allowing you to stop wasting time with manual work and complex workflows, and focus on analyzing ASAAS data in your report, spreadsheet, data warehouse, data lake, or database

Finance teams can monitor cash flow trends by analyzing payment status distributions and identifying delayed transactions across different billing types such as credit card or bank slip. Marketing professionals leverage client geographic data and contact details to segment audiences and personalize outreach campaigns based on payment behavior and regional preferences. Operations managers utilize the combined datasets to forecast revenue, track customer lifetime value, and optimize collection strategies by correlating client locations with payment punctuality and billing method preferences.

Available ASAAS Data Pipelines

The following data pipelines deliver specific financial datasets that power sophisticated ASAAS analytics across your organization. The Clients pipeline captures essential customer information including names, email addresses, and tax identifiers (CPF/CNPJ), enabling detailed customer segmentation and regional analysis through city and state fields. The Payments pipeline provides granular transaction intelligence with payment dates, monetary values, current status indicators, and billing type classifications, allowing you to track revenue recognition patterns and discount utilization trends. By joining these datasets, you can analyze which client segments generate the highest payment volumes, identify geographic regions with outstanding receivables, and correlate billing preferences with collection success rates. With automated updates running on a configurable schedule from every five minutes to daily intervals, your KPIs remain current whether you are monitoring daily cash positions or monthly revenue trends.

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Available ASAAS data

available pipelines

128

extractable fields

Available integrations

Integration	Description
Clients	Table contains information about clients, including fields such as name, email, and CPF/CNPJ, along with details like city and state.
Payments	Table presents payment data, with fields such as payment date, value, status, and billing type, along with information on discounts and interest.

Clients

Table contains information about clients, including fields such as name, email, and CPF/CNPJ, along with details like city and state.

Payments

Table presents payment data, with fields such as payment date, value, status, and billing type, along with information on discounts and interest.

See all available data →

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How to visualize ASAAS data in 3 steps

Connect ASAAS to dashboards, spreadsheets, or databases — no code required.

Add ASAAS as a data source

Authenticate your ASAAS account in Kondado to establish a direct connection for extracting client and payment information without technical configuration.

Select pipelines and destinations

Choose the Clients and Payments pipelines you want to replicate, then send your ASAAS data to Power BI, Google Sheets, BigQuery, or PostgreSQL for analysis.

Analyze across dashboards, sheets, and databases

Build visual reports in Looker Studio or Power BI dashboards, manipulate data in Google Sheets or Excel spreadsheets, and query structured tables in BigQuery, PostgreSQL, MySQL, Redshift, SQL Server, or Amazon S3.

Try out all the features for free for 14 days