Chat with your api4com data

AI to analyze api4com data with Claude and ChatGPT

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

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api4com
You
What was our total call cost yesterday across all lines?
Voice Costs
Your api4com account spent $1,247.50 on voice calls yesterday across 23 separate connections.
Via Kondado MCP
You
Which user topped up the most credits last month?
Recharge History
User support_team_01 recharged $5,400.00 in March, representing 34% of total top-ups.
Via Kondado MCP
You
How many calls lasted longer than 10 minutes this week?
Call Analytics
You logged 47 extended calls exceeding 10 minutes, averaging 14.2 minutes in duration.
Via Kondado MCP
You
What is the average cost per minute for international calls?
api4com Metrics
International routes averaged $0.18 per minute last week, 12% higher than domestic rates.
Via Kondado MCP
Works in Claude, ChatGPT and any MCP client

AI to analyze api4com data with Claude and ChatGPT

Ask Claude, ChatGPT, or any MCP client about your api4com voice communication data using natural language chat. Query call volumes, recharge patterns, and cost trends without writing SQL or opening spreadsheets. Simply type questions like “What was our total call cost last week?” or “Which users had the highest recharge values this month?” and get instant answers from your replicated data.

Kondado replicates api4com data to a structured destination, enabling direct analysis via Claude, ChatGPT, and any MCP client through natural language chat. The platform exposes 2 data pipelines (Voice Calls and Recharge History) via the Kondado MCP server, allowing business users to query call metrics and recharge records conversationally. The same data also powers ready dashboards in Power BI and Looker Studio for visual monitoring.

Operations managers and finance teams benefit from immediate access to voice communication insights without technical setup. Customer support leaders can track call duration patterns and associated costs to optimize service operations. Finance analysts monitor recharge histories and spending trends to reconcile communications budgets, all by asking questions in plain English through their preferred AI assistant.

I prefer ready dashboards

Dashboard templates in Power BI and Looker Studio, connected to your api4com data by Kondado in minutes.

View api4com dashboards →

I want to ask the AI

Claude, ChatGPT and other MCP clients query your api4com data in natural language.

View MCP setup →

The data structure below reveals the specific pipelines available for conversational analysis within your voice communication environment. Voice Calls delivers comprehensive session metadata including origin numbers, destination endpoints, precise duration metrics, and individual call pricing, enabling detailed queries about communication volumes and cost per interaction across your operations. Recharge History captures complete user identification details, exact credit dates, monetary values for each transaction, and observation notes, supporting sophisticated questions about funding patterns and account balance trends over time. Cross-referencing these two pipelines allows you to correlate specific calling activity with corresponding recharge behavior, identifying which high-usage periods or expensive call routes drive prepaid top-ups among your team members. Automated updates on a configurable schedule ensure your AI assistant always references the most current call records and recent recharge transactions when generating answers to your business questions.

How to connect api4com to Claude, ChatGPT and other AI clients

MCP is an open standard. Add the Kondado server to the connections of Claude (Web or Desktop), ChatGPT, or any other MCP client you use, and authorize via OAuth at app.kondado.com.br. Setup through the UI, no code.

Kondado MCP server: https://mcp.kondado.io/mcp
Detailed guide: Claude Detailed guide: ChatGPT
AI vocabulary

api4com tables and metrics available via Kondado

Each item below is something Claude, ChatGPT or another MCP client already knows how to query — no schema setup, no manual mapping.

2
Tables
23
Fields
∞
Ad-hoc questions
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 → Connect api4com now →

How to connect and use AI with your data

In 3 steps: connect on Kondado, pick dashboard or chat, analyze.

1
Connect api4com data source

Access app.kondado.com.br to set up your api4com connection and select a Via Kondado destination. Your voice call records and recharge history will replicate to this destination, becoming available for AI analysis and ready dashboard templates.

2
Configure Claude or ChatGPT

Open Claude Web or Desktop, or ChatGPT, and add the Kondado MCP server in the connection settings. Authorize access once via OAuth at app.kondado.com.br using the graphical interface, with no command line tools required.

3
Analyze in chat or dashboards

Ask questions in natural language about your api4com call costs and recharge patterns through your AI assistant. For visual recurring monitoring, open the ready Power BI or Looker Studio dashboard templates included with your data destination.

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Related on Kondado

Frequently asked questions about AI

How ready dashboards and chat via Claude / ChatGPT work together with your data via Kondado.

What specific business questions can I ask Claude or ChatGPT about my api4com data? ▼
You can ask about total call costs for specific date ranges, average call durations by destination number, recharge frequency patterns per user, and cost comparisons between different calling periods. The AI reads your replicated Voice Calls and Recharge History pipelines to calculate metrics like daily spending averages or identify your most expensive call routes through natural language processing.
How do I configure Claude Web or Desktop to access my api4com data through Kondado? ▼
Open your Claude interface and navigate to the connection settings to add the Kondado MCP server. You will authorize access once via OAuth at app.kondado.com.br, granting Claude permission to query your replicated api4com pipelines. This graphical setup requires no command line tools or JSON configuration files.
Can ChatGPT also analyze my api4com voice communication data using this setup? ▼
Yes, ChatGPT supports the same MCP server configuration through its connection settings interface. After adding the Kondado MCP server and completing the OAuth authorization at app.kondado.com.br, you can ask ChatGPT about call volumes, recharge histories, and cost analytics using the same natural language approach available in Claude.
Does the AI assistant modify or write data back to my api4com account? ▼
No, the interaction is read-only analytical chat. Claude, ChatGPT, and other MCP clients can only query and analyze your replicated data to answer questions about calls and recharges. They cannot initiate calls, modify recharge records, or execute any actions within your api4com system.
How frequently does the data update for AI analysis? ▼
Kondado replicates your api4com data on a configurable schedule that you set based on your business needs. This ensures the AI assistant references current information when answering questions about recent call activity or latest recharge transactions, without claiming near-real-time synchronization.
What dashboard templates are available for visual monitoring of api4com data? ▼
Kondado offers ready report templates in Power BI and Looker Studio that visualize the same Voice Calls and Recharge History data available for AI chat. These templates provide pre-built charts for call cost trends and recharge patterns, complementing the conversational analysis with visual monitoring tools.
What is the difference between asking the AI in chat versus opening a ready dashboard? ▼
Chat-based analysis with Claude or ChatGPT allows exploratory, ad-hoc questioning about specific call details or recharge anomalies using natural language. Ready dashboards in Power BI or Looker Studio provide structured visual monitoring with fixed charts and graphs for recurring operational reviews, using the same underlying replicated data.
Do other MCP clients besides Claude and ChatGPT work with Kondado? ▼
Yes, any MCP-compatible client can connect to the Kondado MCP server to analyze api4com data. While Claude Web and Desktop and ChatGPT are the primary interfaces we showcase, other MCP clients also work with the same OAuth authorization process and provide identical access to your Voice Calls and Recharge History pipelines.

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