Dashboards in minutes

Connect Pagar.me to BIMachine: Dashboards in Minutes

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No credit card required | 14 days | 10 million records | 30 pipelines

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Connect Pagar.me to BIMachine

Kondado offers a direct connection between Pagar.me and BIMachine with no intermediate databases or complex setup required. You simply authenticate your Pagar.me account inside Kondado, select BIMachine as your destination, and start replicating payment information on a configurable schedule. Within minutes, your Charges, Orders, and Receivables information becomes available in BIMachine for visual analysis and business reporting.

8
available pipelines
344
extractable fields
  • ✓No code, no spreadsheets
  • ✓Auto-refreshed data
  • ✓14-day free trial
Connect Pagar.me now →

Try out all the features for free for 14 days

Business users can easily transform complex payment information into clear charts and metrics that support daily decision making. Whether you manage an online store, marketplace, or subscription service, having your Pagar.me financial data visible in BIMachine helps you understand cash flow patterns, customer purchasing behavior, and outstanding receivables without relying on technical teams.

Kondado connects Pagar.me to BIMachine through a Via Kondado direct connection, replicating 8 pipelines and 344 fields on a configurable schedule so business teams can track payments, monitor receivables, and analyze customer behavior without writing code.

Our prices start from $19 USD/month, and you can try Kondado for free for 14 days with no credit card required

Try out all the features for free for 14 days

Available data

Pagar.me data available in BIMachine

Each item below is automatically replicated by Kondado from Pagar.me into BIMachine — no schema setup, no manual mapping.

8
available pipelines
344
extractable fields
∞
Auto-refresh

Available integrations

Customers
Includes information such as customer name, email, and status, along with address and phone data like area code and number.
Customers: Cards
Records card details including brand, expiration date, and status, along with cardholder name and card digits.
Customers: Addresses
Contains address data such as city, state, and country, along with creation date and address status.
Charges
Includes information on charges made, such as amount, date, and status, along with details of the associated customer.
Balance Operations
Records operations related to balance, including operation type, amount, and transaction date.
Orders
Contains details of orders placed, such as total amount, status, and creation date, along with customer information.
Recipients
Includes information about recipients, such as name, document, and status, along with creation and update data.
Receivables
Contains information about receivables, including amount, due date, and status, along with details of the associated customer.
Full docs on the wiki → Start free trial →

Try out all the features for free for 14 days

With the Orders and Charges pipelines, you can build BIMachine dashboards that reveal daily sales trends, payment success rates, and average ticket size across different sales channels. The Receivables pipeline helps finance teams monitor expected cash inflows, identify delayed settlements, and plan working capital with greater confidence. By combining these datasets in BIMachine, operations and marketing teams gain a unified view of the customer journey from purchase intent to completed payment, making it easier to spot bottlenecks and optimize checkout conversion without waiting for manual reports.

Try out all the features for free for 14 days

How to create Pagar.me dashboards in BIMachine

Visualize your data automatically — no spreadsheet exports or custom scripts.

1
Connect Pagar.me on Kondado

In Kondado, add Pagar.me as a data source and authenticate with your API credentials to establish the connection.

2
Select BIMachine as destination

Choose BIMachine from the destination list so Kondado knows where to send your replicated payment information.

3
Build dashboards and set refresh

Open BIMachine, create charts using your Pagar.me pipelines, then return to Kondado to choose how frequently the data refreshes.

Access Pagar.me data in BIMachine and combine it with dozens of other data sources

If the source you want is not listed, drop us a chat message. We love to add new sources!

55pbx
55pbx
ActiveCampaign
ActiveCampaign
Google Ads
Google Ads
Amazon S3
Amazon S3
api4com
api4com
Apple App Store
Apple App Store
ASAAS
ASAAS
AWS CloudWatch Metrics
AWS CloudWatch Metrics
Azure Table Storage
Azure Table Storage
BigQuery
BigQuery
Bing
Bing
Bitrix24 CRM
Bitrix24 CRM
Bling!
Bling!
Blip (take)
Blip (take)
ClickUp
ClickUp
Clockify
Clockify
ContaAzul
ContaAzul
Criteo
Criteo
E-goi
E-goi
EADBOX
EADBOX
Exact Sales
Exact Sales
Facebook Ads
Facebook Ads
Facebook
Facebook
Fatura Simples
Fatura Simples
Freshdesk
Freshdesk
FTP
FTP
Google Analytics GA4
Google Analytics GA4
Google Cloud Storage
Google Cloud Storage
Google Play Store
Google Play Store
Google Search Console
Google Search Console
Google Sheets
Google Sheets
Granatum
Granatum
Hi Platform
Hi Platform
Hotmart
Hotmart
Hubspot
Hubspot
Huggy
Huggy
InfluxDB v1
InfluxDB v1
Infusionsoft (Keap)
Infusionsoft (Keap)
Instagram Ads
Instagram Ads
Instagram
Instagram
Jira
Jira
Linkedin
Linkedin
Loja Integrada
Loja Integrada
MailChimp
MailChimp
Mandrill
Mandrill
Mautic
Mautic
Meetime
Meetime
Mercado Libre
Mercado Libre
Meta Ads
Meta Ads
Microsoft Ads
Microsoft Ads
Microsoft Advertising
Microsoft Advertising
Mixpanel
Mixpanel
monday.com
monday.com
MongoDB
MongoDB
Movidesk
Movidesk
MySQL (& MariaDB)
MySQL (& MariaDB)
NectarCRM
NectarCRM
Notion
Notion
Nuvemshop (Tiendanube)
Nuvemshop (Tiendanube)
Olist Tiny
Olist Tiny
Omie
Omie
Oracle
Oracle
Pagar.me
Pagar.me
Pinterest Ads
Pinterest Ads
Pipedrive
Pipedrive
Pipefy
Pipefy
PipeRun
PipeRun
Ploomes
Ploomes
PostgreSQL
PostgreSQL
Pushwoosh
Pushwoosh
RDStation CRM
RDStation CRM
RDStation
RDStation
Recruiterbox
Recruiterbox
Salesforce Marketing Cloud (Exact Target)
Salesforce Marketing Cloud (Exact Target)
Salesforce
Salesforce
SenseData
SenseData
Shopify
Shopify
SQLServer
SQLServer
Stilingue
Stilingue
Superlogica
Superlogica
Sympla
Sympla
Taboola
Taboola
Tangerino
Tangerino
TikTok Ads
TikTok Ads
TikTok Organic
TikTok Organic
Tiny ERP
Tiny ERP
Toggl
Toggl
Tray
Tray
Trello
Trello
Twilio
Twilio
VNDA
VNDA
VTEX
VTEX
Wake Commerce
Wake Commerce
Webhook
Webhook
Wootric
Wootric
WordPress
WordPress
X Ads
X Ads
YouTube
YouTube
Zeeng
Zeeng
Zendesk Chat (Zopim)
Zendesk Chat (Zopim)
Zendesk
Zendesk

Visualize Pagar.me data in other BI tools

If the software you need is not listed, drop us a messagem. You can use almost every tool

Airtable
Pagar.me > Airtable
Alteryx
Pagar.me > Alteryx
Amazon Quicksight
Pagar.me > Amazon Quicksight
BIMachine
Pagar.me > BIMachine
Cortex
Pagar.me > Cortex
Data Studio
Pagar.me > Data Studio
Geckoboard
Pagar.me > Geckoboard
Grafana
Pagar.me > Grafana
IBM Cognos Analytics
Pagar.me > IBM Cognos Analytics
Klipfolio
Pagar.me > Klipfolio
Looker Studio
Pagar.me > Looker Studio
Looker
Pagar.me > Looker
Looqbox
Pagar.me > Looqbox
Metabase
Pagar.me > Metabase
Microstrategy
Pagar.me > Microstrategy
Pentaho
Pagar.me > Pentaho
Power BI
Pagar.me > Power BI
Qlik Cloud Analytics
Pagar.me > Qlik Cloud Analytics
Qlik Sense
Pagar.me > Qlik Sense
Qlik
Pagar.me > Qlik
QlikView
Pagar.me > QlikView
Redash
Pagar.me > Redash
Superset
Pagar.me > Superset
Tableau
Pagar.me > Tableau
BI TOTVS
Pagar.me > BI TOTVS
Zoho Analytics
Pagar.me > Zoho Analytics

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Focus on extracting value from your data and leave the rest to us

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Frequently Asked Questions (FAQ)

Answers about visualizing Pagar.me data in BIMachine automatically

How do I connect Pagar.me to BIMachine using Kondado? ▼
In Kondado, add Pagar.me as a data source and provide your API key to authenticate the connection. Next, pick BIMachine as your destination, select the pipelines you need, and define how frequently you want the data to refresh.
What Pagar.me data can I visualize in BIMachine? ▼
Kondado delivers 8 pipelines from Pagar.me into BIMachine, such as Customers, Charges, Orders, and Receivables. You can combine these datasets to analyze buyer profiles, completed transactions, and pending settlements in one place.
How often does Pagar.me data update in BIMachine? ▼
The update frequency is fully configurable, with options ranging from every 5 minutes to daily intervals. This automated refresh cycle ensures your BIMachine charts reflect the latest transactions and balance operations.
What KPIs should I track for my Pagar.me payments in BIMachine? ▼
Monitor processed volume, charge approval rates, average order value, and outstanding receivables over time. Tracking these indicators in BIMachine gives finance and operations teams a clear picture of revenue health and collection efficiency.
Can I share Pagar.me dashboards with my team in BIMachine? ▼
Yes, BIMachine allows you to publish and share dashboards built on replicated Pagar.me data with colleagues and managers. Everyone views the same numbers, eliminating version conflicts and email report chains.
Can I send Pagar.me data to other tools besides BIMachine? ▼
Absolutely. Kondado supports sending Pagar.me data to destinations like Power BI, Looker Studio, Google Sheets, and BigQuery. Many teams use BIMachine for strategic views while pushing data to other platforms for operational tasks.
What kind of custom dashboards can I build in BIMachine with Pagar.me data? ▼
You can build dashboards that track daily sales performance, outstanding receivables aging, and customer payment behavior. Because you control the layout and metrics, every chart answers a specific question for your operations or finance team.

Try out all the features for free for 14 days