Dashboards in minutes

Connect api4com to Grafana: Dashboards in Minutes

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Connect api4com to Grafana

Kondado makes it simple to visualize your api4com voice communication data in Grafana without any technical complexity or coding requirements. You connect your api4com account as a data source, choose Grafana as your destination, and start building dashboards that show call metrics and recharge history within minutes. The platform handles the data replication on a configurable schedule, updating your charts every 5 minutes, hourly, or daily based on your specific business needs and reporting cycles.

2
available pipelines
23
extractable fields
  • ✓No code, no spreadsheets
  • ✓Auto-refreshed data
  • ✓14-day free trial
Connect api4com now →

Try out all the features for free for 14 days

Kondado connects api4com directly to Grafana with no intermediate databases required, allowing business teams to monitor voice call costs, track recharge patterns, and analyze communication metrics through automated updates on a configurable schedule.

With this connection, marketing and operations teams can finally see their voice communication spending patterns alongside other business metrics in one centralized view. You gain immediate visibility into call durations, costs per campaign, and credit usage without waiting for IT to build custom connections or manage complex infrastructure.

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

api4com data available in Grafana

Each item below is automatically replicated by Kondado from api4com into Grafana — no schema setup, no manual mapping.

2
available pipelines
23
extractable fields
∞
Auto-refresh

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'.
Full docs on the wiki → Start free trial →

Try out all the features for free for 14 days

In Grafana, you can combine Voice Calls data with Recharge History to understand the complete picture of your communication expenses. Track which campaigns generate the most expensive calls, monitor how quickly teams consume credits, and identify the optimal recharge timing by visualizing call_price trends alongside credit_date patterns. These insights help operations managers make informed decisions about budget allocation and usage forecasting.

By creating custom panels that display duration metrics from your Voice Calls pipeline alongside value fields from Recharge History, you can spot correlations between high call volumes and credit consumption. This visibility enables proactive management of voice communication budgets before resources run low.

Try out all the features for free for 14 days

How to create api4com dashboards in Grafana

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

1
Connect api4com as data source

Log into Kondado and add api4com as a new data source by entering your API credentials. Select the Voice Calls and Recharge History pipelines you want to replicate to Grafana.

2
Choose Grafana destination

Select Grafana from the destination options to establish your visualization environment. You can also send data to Power BI, Looker Studio, or Google Sheets if you prefer different tools.

3
Configure refresh and build dashboards

Set your preferred update schedule, from every 5 minutes to daily, then start building dashboards with your call and recharge metrics. Create panels showing duration trends, call costs, and credit usage patterns to monitor your voice communication performance.

Access api4com data in Grafana 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 api4com data in other BI tools

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

Airtable
api4com > Airtable
Alteryx
api4com > Alteryx
Amazon Quicksight
api4com > Amazon Quicksight
BIMachine
api4com > BIMachine
Cortex
api4com > Cortex
Data Studio
api4com > Data Studio
Geckoboard
api4com > Geckoboard
Grafana
api4com > Grafana
IBM Cognos Analytics
api4com > IBM Cognos Analytics
Klipfolio
api4com > Klipfolio
Looker Studio
api4com > Looker Studio
Looker
api4com > Looker
Looqbox
api4com > Looqbox
Metabase
api4com > Metabase
Microstrategy
api4com > Microstrategy
Pentaho
api4com > Pentaho
Power BI
api4com > Power BI
Qlik Cloud Analytics
api4com > Qlik Cloud Analytics
Qlik Sense
api4com > Qlik Sense
Qlik
api4com > Qlik
QlikView
api4com > QlikView
Redash
api4com > Redash
Superset
api4com > Superset
Tableau
api4com > Tableau
BI TOTVS
api4com > BI TOTVS
Zoho Analytics
api4com > Zoho Analytics

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Frequently Asked Questions (FAQ)

Answers about visualizing api4com data in Grafana automatically

How do I set up api4com as a data source in Kondado? ▼
Setting up api4com requires entering your API credentials into Kondado's data source configuration page. Once authenticated, you select the Voice Calls and Recharge History pipelines you want to replicate. The connection establishes immediately, making your voice communication data available for visualization without any coding or database setup.
What specific api4com metrics can I track in Grafana? ▼
You can track call costs, durations, and caller information from the Voice Calls pipeline, plus credit consumption patterns and recharge values from the Recharge History pipeline. These metrics allow you to calculate cost per call, monitor daily spending trends, and visualize which users or campaigns generate the highest communication expenses in your Grafana panels.
How often does api4com data update in Grafana dashboards? ▼
You configure the update frequency based on your reporting needs, choosing intervals from every 5 minutes for near-real-time monitoring to daily updates for periodic reporting. This automated refresh keeps your call cost analysis and credit balance tracking current without manual data exports or spreadsheet updates.
Can I share api4com Grafana dashboards with my team? ▼
Yes, Grafana's sharing features work seamlessly with data replicated through Kondado. You can distribute dashboard links to stakeholders, set up automated report deliveries, or embed specific panels showing call metrics and recharge trends into internal portals for wider team access.
Do I need SQL knowledge to build api4com dashboards in Grafana? ▼
No SQL knowledge is required to start visualizing api4com data in Grafana. Kondado structures the replicated data so it appears as ready-to-use datasets within your dashboards. You simply select fields like duration, call_price, or credit_date from the available pipelines to create charts and graphs through Grafana's visual editor.
Can I combine api4com data with other sources in Grafana? ▼
Absolutely, you can blend api4com voice data with information from other sources connected through Kondado. Combine your call costs with sales data from BigQuery or customer information from PostgreSQL to calculate ROI on voice campaigns directly within Grafana.
What Grafana visualizations work best for api4com call data? ▼
Time series graphs work excellently for tracking call volume and cost trends over days or weeks, while bar charts effectively compare spending across different users or departments. Gauge panels display current credit balances from your Recharge History, and detailed call records showing from, to, and duration information display clearly in list format.

Try out all the features for free for 14 days