Chat with your Webhook data

AI to analyze Webhook data with Claude and ChatGPT

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

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Webhook
You
How many webhook requests arrived this morning?
Webhook Traffic
Your Webhook received 847 new requests between 9 AM and 12 PM today.
Via Kondado MCP
You
What's the average payload size from yesterday's orders?
Payload Analysis
The average JSON payload size for order events was 4.2 KB with 156 total requests.
Via Kondado MCP
You
Show me the top 3 form submission events from last week
Event Types
Contact forms led with 234 submissions, followed by newsletter signups at 189 and demo requests at 67.
Via Kondado MCP
You
What was the peak traffic hour yesterday?
Peak Hours
Request volume peaked at 142 webhooks between 2 PM and 3 PM yesterday.
Via Kondado MCP
Works in Claude, ChatGPT and any MCP client

AI to analyze Webhook data with Claude and ChatGPT

Connect your Webhook data source to Claude, ChatGPT, or any MCP client and start asking questions in natural language about your incoming JSON payloads. Business teams can query recent request volumes, inspect specific event structures within the raw body field, or compare incoming traffic patterns across different time periods without writing a single line of SQL code. The AI interprets your conversational questions and retrieves precise answers directly from your replicated Webhook logs, turning complex JSON analysis into simple chat interactions.

Kondado offers direct AI analysis of Webhook data through an MCP server compatible with Claude, ChatGPT, and other MCP clients, exposing 1 pipeline with raw JSON payloads containing request IDs, timestamps, and complete body contents. The same data also powers ready dashboards in Power BI and Looker Studio for comprehensive visual monitoring.

Marketing analysts tracking lead form submissions, e-commerce managers monitoring order notification streams, and operations teams reviewing system event logs all benefit from instant chat access to their complete Webhook history. Ask how many requests arrived this morning from your payment provider, identify the most common payload structures causing processing delays, or compare weekend versus weekday traffic volumes to optimize server capacity. The conversational interface democratizes access to technical webhook logs, allowing business users to extract operational insights through simple questions and immediate data-backed answers.

I prefer ready dashboards

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

View Webhook dashboards →

I want to ask the AI

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

View MCP setup →

The pipeline listed below contains the raw request data your Webhook receives and makes it available for conversational analysis. The Post raw JSON pipeline captures every incoming request with fields including __kdd_request_id for unique tracking, __kdd_request_unix_timestamp for precise temporal analysis, and __kdd_request_body containing the complete JSON payload. Query this data to count daily form submissions from your marketing campaigns, analyze the structure of e-commerce order notifications, or track API call patterns from your payment processors. Inspect specific request bodies to troubleshoot integration issues, verify payload completeness, or aggregate data transfer volumes across different event types. While this source currently provides one comprehensive logging table, you can cross-reference timestamps with business calendars or join request IDs with external system logs for deeper operational analysis. Near-real-time ingestion ensures your chat queries reflect the latest webhook activity as data updates on a configurable schedule.

How to connect Webhook 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

Webhook 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.

1
Table
4
Fields
∞
Ad-hoc questions
Post raw JSON
This table includes fields such as __kdd_request_id, __kdd_request_unix_timestamp, and __kdd_request_body, enabling the logging of requests and their data in JSON format.
Full docs on the wiki → Connect Webhook now →

How to connect and use AI with your data

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

1
Connect Webhook at Kondado

Configure your Webhook data source on Kondado at app.kondado.com.br and select a Via Kondado destination. Your incoming JSON payloads land ready for immediate AI access through the MCP server and for the Power BI and Looker Studio dashboard templates.

2
Add Kondado MCP in Claude or ChatGPT

In Claude (Web or Desktop) or ChatGPT, open the connection settings to add the Kondado MCP server and authorize via OAuth at app.kondado.com.br. Both clients use the same simple GUI setup with no command line tools or code required.

3
Chat about Webhook data or open dashboards

Start asking natural language questions about your Webhook requests, payload contents, or traffic patterns in the chat interface. For visual recurring monitoring of the same data, open a ready Power BI or Looker Studio dashboard template.

Other connectors with AI via MCP

Same Kondado data, in chat through Claude, ChatGPT and other MCP clients.

CRM and Sales

ActiveCampaign ActiveCampaign
Bitrix24 CRM Bitrix24 CRM
Exact Sales Exact Sales
Hubspot Hubspot
Infusionsoft (Keap) Infusionsoft (Keap)
Meetime Meetime
NectarCRM NectarCRM
Pipedrive Pipedrive
PipeRun PipeRun
Ploomes Ploomes
RDStation CRM RDStation CRM
Salesforce Salesforce

Marketing and Automation

Google Ads Google Ads
E-goi E-goi
Google Search Console Google Search Console
Hi Platform Hi Platform
Huggy Huggy
Linkedin Linkedin
MailChimp MailChimp
Mandrill Mandrill
Mautic Mautic
Pushwoosh Pushwoosh
RDStation RDStation
Salesforce Marketing Cloud (Exact Target) Salesforce Marketing Cloud (Exact Target)
SenseData SenseData
Taboola Taboola
Twilio Twilio
WordPress WordPress

Advertising and Media

Apple App Store Apple App Store
Bing Bing
Criteo Criteo
Facebook Facebook
Facebook Ads Facebook Ads
Google Play Store Google Play Store
Instagram Ads Instagram Ads
Meta Ads Meta Ads
Microsoft Ads Microsoft Ads
Microsoft Advertising Microsoft Advertising
Pinterest Ads Pinterest Ads
TikTok Ads TikTok Ads
X Ads X Ads
YouTube YouTube

E-commerce and Marketplaces

Bling! Bling!
Hotmart Hotmart
Loja Integrada Loja Integrada
Mercado Libre Mercado Libre
Nuvemshop (Tiendanube) Nuvemshop (Tiendanube)
Olist Tiny Olist Tiny
Omie Omie
Pagar.me Pagar.me
Shopify Shopify
Tiny ERP Tiny ERP
Tray Tray
VNDA VNDA
VTEX VTEX
Wake Commerce Wake Commerce

Financial and Payments

ASAAS ASAAS
ContaAzul ContaAzul
Fatura Simples Fatura Simples
Granatum Granatum
Superlogica Superlogica
Sympla Sympla

Support and Customer Service

55pbx 55pbx
api4com api4com
Blip (take) Blip (take)
Clockify Clockify
EADBOX EADBOX
Freshdesk Freshdesk
Movidesk Movidesk
Recruiterbox Recruiterbox
Stilingue Stilingue
Wootric Wootric
Zendesk Zendesk
Zendesk Chat (Zopim) Zendesk Chat (Zopim)

Databases

AWS CloudWatch Metrics AWS CloudWatch Metrics
Azure Table Storage Azure Table Storage
BigQuery BigQuery
InfluxDB v1 InfluxDB v1
MongoDB MongoDB
MySQL (& MariaDB) MySQL (& MariaDB)
Oracle Oracle
PostgreSQL PostgreSQL
SQLServer SQLServer

Productivity and Collaboration

ClickUp ClickUp
Google Sheets Google Sheets
Jira Jira
monday.com monday.com
Notion Notion
Pipefy Pipefy
Tangerino Tangerino
Toggl Toggl
Trello Trello

Social Media

Instagram Instagram
TikTok Organic TikTok Organic

User Analytics

Google Analytics GA4 Google Analytics GA4
Mixpanel Mixpanel
Zeeng Zeeng

Storage and Transfer

Amazon S3 Amazon S3
FTP FTP
Google Cloud Storage Google Cloud Storage
See all AI connectors →

Related on Kondado

Frequently asked questions about AI

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

What business questions can I ask Claude or ChatGPT about my Webhook data? ▼
You can ask about request volumes over specific periods, inspect the structure of JSON payloads from particular events, identify patterns in incoming data timestamps, or filter requests by specific body content. The AI reads your replicated Webhook logs and returns specific counts, time ranges, or sample payloads based on your natural language questions.
How do I configure Claude or ChatGPT to access my Kondado Webhook data? ▼
Open Claude (Web or Desktop) or ChatGPT and navigate to the connection settings to add the Kondado MCP server. Authorize access once via OAuth at app.kondado.com.br using your Kondado credentials, and the connection becomes available immediately in both clients without any command line setup.
Does the AI write data back to my Webhook source or execute actions? ▼
No, the interaction is read-only analytical chat. Claude, ChatGPT, and other MCP clients can only query and analyze your replicated Webhook data, helping you understand patterns and inspect payloads, but they cannot trigger webhooks, modify configurations, or send data to external systems.
How often is the Webhook data updated for AI queries? ▼
Data replicates on a configurable schedule, typically ingesting new webhook requests within minutes of arrival. This near-real-time availability means your chat questions about recent events, morning traffic spikes, or current payload volumes reflect the latest received data.
What dashboard templates are available for visual Webhook monitoring? ▼
Kondado provides ready report templates in Power BI and Looker Studio that visualize the same Webhook data accessible via AI chat. These templates offer recurring visual monitoring through charts and graphs, complementing the conversational analysis available in Claude and ChatGPT.
What is the difference between asking the AI in chat versus opening a ready dashboard? ▼
AI chat in Claude or ChatGPT allows spontaneous, specific questions about your Webhook data with immediate textual answers, ideal for troubleshooting or ad-hoc investigations. Ready dashboards in Power BI or Looker Studio provide standardized visual reports updated automatically, better suited for recurring monitoring and stakeholder presentations.
Can I use other MCP clients besides Claude and ChatGPT? ▼
Yes, any MCP client can connect to Kondado's server at the provided endpoint. While Claude (Web and Desktop) and ChatGPT are the primary interfaces we showcase, other compatible clients work equally well for querying your Webhook pipelines.
What specific Webhook metrics can I query in natural language? ▼
You can query metrics such as total request counts per hour, average payload sizes, specific JSON field values within request bodies, timestamp distributions, or request ID sequences. The AI understands questions about volume trends, temporal patterns, and content inspection within your raw JSON logs.

Try out all the features for free for 14 days