What specific api4com data can I extract using Kondado?

You can replicate two primary datasets from api4com: Voice Calls containing fields like origin and destination numbers, duration, and call pricing, plus Recharge History with usernames, credit dates, values, and observation notes. This covers both your communication activity and account funding records.

How do I connect api4com to Power BI or Google Sheets?

Start by adding api4com as a data source in Kondado, then select your desired pipelines and destination such as Power BI or Google Sheets . The no-code setup requires only your api4com API credentials to begin replicating data.

How often does Kondado update api4com data?

Kondado replicates api4com data on a configurable schedule that you control, ranging from every 5 minutes for near-real-time monitoring to daily batches for historical analysis. This automation keeps your reports current without manual refreshes.

What analytics can I build with api4com call data?

You can create custom dashboards tracking average call duration, cost per communication, peak calling hours, and recharge frequency by user. These insights support budget forecasting, operational efficiency reviews, and usage pattern identification.

Can I send api4com data to BigQuery or PostgreSQL?

Yes, Kondado supports database destinations including BigQuery and PostgreSQL , as well as business intelligence tools like Looker Studio . This flexibility lets you store api4com data in data warehouses or analyze it directly in spreadsheets.

Do I need technical skills to replicate api4com data?

No coding is required to connect api4com and start replicating your Voice Calls and Recharge History data. The visual interface guides you through selecting fields and destinations, making api4com analytics accessible to marketing and operations teams.

Can I combine api4com data with other sources?

Absolutely, you can join api4com voice communication metrics with CRM data, financial systems, or other marketing platforms in your data warehouse. This cross-source analysis reveals deeper insights about customer communication costs and campaign ROI.

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api4com Integration: Connect to Your Data Warehouse

Kondado enables you to extract valuable voice communication metrics from api4com and replicate them into your preferred analytics environment. Access detailed call records including origin and destination numbers, call duration, and associated costs through the Voice Calls pipeline. Monitor account recharges with the Recharge History pipeline, tracking usernames, credit dates, recharge values, and observation notes for complete financial visibility.

Kondado’s api4com data source offers 2 pipelines with 23 total fields, enabling direct extraction of voice call details and recharge transaction records without writing code.

Marketing teams can analyze call volume patterns and duration trends to optimize campaign timing and messaging strategies. Data analysts benefit from structured access to call pricing data and recharge histories for accurate cost allocation and revenue forecasting models. Operations teams leverage this api4com data to monitor communication expenses, identify high-volume calling periods, and manage account balances proactively through automated reporting workflows.

The Kondado platform takes care of refreshing api4com data, allowing you to stop wasting time with manual work and complex workflows, and focus on analyzing api4com data in your report, spreadsheet, data warehouse, data lake, or database

Available api4com Data Pipelines

The following pipelines capture essential api4com data for comprehensive voice communication analysis. The Voice Calls pipeline delivers granular insights into communication patterns, revealing which numbers generate the most traffic and how call duration impacts operational costs across your organization. The Recharge History pipeline provides complete visibility into account funding activities, showing exactly when credits were applied and their monetary values alongside specific user identifiers. By combining these datasets, you can correlate calling behavior with recharge patterns to predict cash flow needs and identify accounts requiring immediate attention. This cross-analysis helps optimize budget allocation across departments using voice services while revealing usage trends. With updates running on a configurable schedule from every 5 minutes to daily, you can monitor KPIs like average call cost, total recharge volume, and call frequency trends without manual data pulls.

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Available api4com data

available pipelines

extractable fields

Available integrations

Integration	Description
Voice Calls	Table provides details about calls, including fields such as 'from', 'to', 'duration', and 'call_price'.
Recharge History	Table contains information about recharges, highlighting fields such as 'username', 'credit_date', 'value', and 'obs'.

Voice Calls

Table provides details about calls, including fields such as 'from', 'to', 'duration', and 'call_price'.

Recharge History

Table contains information about recharges, highlighting fields such as 'username', 'credit_date', 'value', and 'obs'.

See all available data →

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How to visualize api4com data in 3 steps

Connect api4com to dashboards, spreadsheets, or databases — no code required.

Add api4com data source

Configure your api4com connection in Kondado by entering your API credentials and selecting the Voice Calls and Recharge History pipelines you want to replicate.

Select destination and schedule

Choose where to send your data, such as Power BI, Google Sheets, or BigQuery, and set your preferred update frequency from 5 minutes to daily.

Analyze in dashboards, sheets, or databases

Visualize call metrics and recharge trends in Looker Studio or Power BI dashboards, explore the data in Google Sheets or Excel spreadsheets, or query structured tables in PostgreSQL, MySQL, or BigQuery for advanced database analytics.

Try out all the features for free for 14 days