No-code pipeline · api4com → SQL Server

Send data from api4com to SQL Server

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From api4com to SQL Server: managed, scheduled, no code.

Kondado automatically replicates api4com Voice Calls and Recharge History data to SQL Server on a configurable schedule, enabling near-real-time analysis of call metrics and credit usage without manual exports.

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Replicate api4com Data to SQL Server with Kondado

Kondado provides direct pipelines to replicate your api4com voice communication data directly into SQL Server without writing code or managing complex API connections. Simply authenticate your api4com account, configure your SQL Server destination, and select which data endpoints you want to replicate. The platform handles the data extraction and loading automatically on your preferred schedule, whether you need updates every 5 minutes or daily batches, ensuring your voice analytics stay current.

Once your data lands in SQL Server, you can build custom reports analyzing call duration patterns, track recharge history across teams, and combine api4com metrics with CRM or financial data stored in the same database. This automated workflow eliminates manual CSV downloads and keeps your voice communication analytics current for data-driven decision making, helping agencies and technical teams optimize communication costs efficiently.

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Available api4com Pipelines for SQL Server

The Voice Calls pipeline delivers detailed communication logs including caller IDs, recipient numbers, duration metrics, and call pricing directly into your SQL Server environment. By analyzing this data alongside existing customer records, you can identify peak calling periods, calculate cost per interaction, and optimize agent productivity through SQL queries and stored procedures.

The Recharge History pipeline tracks username, credit dates, recharge values, and observations, giving finance teams complete visibility into prepaid balance management and departmental spending patterns. When combined with Voice Calls data in SQL Server, you can correlate recharge frequency with call volume spikes, create automated budget alerts, and generate comprehensive cost analysis reports that drive strategic communication planning.

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Replicated to SQL Server

api4com data available for SQL Server

Tables Kondado writes into your SQL Server, on a schedule you control.

available pipelines

extractable fields

SQL Server

Destination

Available integrations

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 → Send api4com to SQL Server →

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How to send api4com data to SQL Server

Sync data automatically — no code, no manual exports.

Connect Your api4com Account

Authenticate your api4com credentials in Kondado to establish read access to your voice communication data. The platform automatically detects available Voice Calls and Recharge History endpoints for replication.

Configure SQL Server Destination

Enter your SQL Server connection details including server address, database name, and authentication credentials to establish the target location for your data. Kondado validates the connection and prepares the schema for incoming api4com records.

Select Pipelines and Schedule

Choose which api4com pipelines to activate and set your preferred update frequency, ranging from 5-minute intervals to daily refreshes. Once configured, Kondado begins automated replication immediately, keeping your SQL Server database current with your latest voice communication metrics.

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Choose a tool to visualize your api4com data

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

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Frequently Asked Questions (FAQ)

Answers about sending api4com data to SQL Server automatically

How does the api4com to SQL Server replication work? ▼

Kondado connects directly to the api4com API using your authentication credentials, then extracts Voice Calls and Recharge History data automatically. The platform transforms this communication data into SQL-compatible formats and loads it into your specified SQL Server database tables on your chosen schedule. You maintain full control over which pipelines run and how frequently they update without writing integration code.

What specific api4com data fields are available in SQL Server? ▼

The Voice Calls pipeline includes fields such as 'from', 'to', 'duration', and 'call_price', while the Recharge History pipeline contains 'username', 'credit_date', 'value', and 'obs'. These fields map to structured columns in your SQL Server tables, allowing you to query call costs by recipient or filter recharge records by date range using standard T-SQL commands.

How often can I update my api4com data in SQL Server? ▼

Kondado offers flexible scheduling options ranging from every 5 minutes to daily updates, depending on your analytics requirements. You can configure different frequencies for each pipeline, such as updating Voice Calls every 15 minutes for operational dashboards while refreshing Recharge History daily for financial reporting.

Can I combine api4com voice data with other business systems in SQL Server? ▼

Yes, once api4com data resides in SQL Server, you can join it with CRM records, ERP financial data, or marketing analytics stored in the same database. This enables comprehensive analysis such as correlating call volumes with sales conversions or comparing communication costs across different business units using unified SQL queries.

How is api4com call pricing data structured in SQL Server? ▼

The 'call_price' field from the Voice Calls pipeline loads as a numeric column in SQL Server, allowing you to aggregate costs using SUM and AVG functions in your T-SQL queries. You can create calculated columns or views that break down spending by department, campaign, or time period to monitor voice communication budgets effectively.

Can I replicate historical api4com recharge data or just new records? ▼

Kondado can retrieve historical Recharge History records during initial setup, then continuously append new transactions as they occur based on your configured schedule. This ensures your SQL Server contains a complete financial audit trail of credit purchases and usage patterns from your selected start date forward.

What can I build with api4com data once it is in SQL Server? ▼

You can create custom stored procedures that alert managers when daily call costs exceed thresholds, build Power BI dashboards connected to your SQL Server, or generate automated reports comparing recharge frequency against agent performance metrics. The structured data also supports integration with Looker Studio or Google Sheets for executive summaries and budget tracking.

Does api4com data in SQL Server support joins with PostgreSQL or BigQuery datasets? ▼

While SQL Server stores your api4com data locally, you can federate queries to PostgreSQL or BigQuery using linked servers or external data connections. Alternatively, Kondado can replicate the same api4com pipelines to multiple destinations simultaneously, ensuring consistent voice analytics across your entire data ecosystem.

Try out all the features for free for 14 days

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