Connect live systems

Connect your shop, CRM, or other systems

Turn your chatbot into a real-time data powerhouse. Let customers check order status, account info, or ticket updates, instantly, without waiting for support.

Real-Time Data Access

Your chatbot pulls live data from WooCommerce, CRMs, or any API. Order status? Account balance? Delivery tracking? One question, instant answer.

No Code Required

Configure API connections visually: define the URL, method and parameters, test the connection, then publish it.

Built-in Security Validation

Verify user identity before revealing sensitive data. Email matching, token validation, protect your customers automatically.

Pre-Built Templates

Start from templates for WooCommerce, Shopify and other APIs, then adapt the connection to your system.

api-connectors.config

Popular Use Cases

WooCommerce Order Status

"Where is my order?", answered directly from your shop data

CRM Customer Lookup

Retrieve customer data, order history, status

Support Ticket Status

Real-time ticket updates via Zendesk, Freshdesk

Your Custom API

Any REST API, we connect it

GET/api/v1/orders/{order_id}

How API Connectors Work

Three steps from idea to answers from your own system, without writing a line of code.

Step 1

Describe what your chatbot should do

For example: "Look up order status in my WooCommerce shop." That is all the AI helper needs to get started.

Step 2

The AI sets up the connection

It researches your system's interface, asks for the access key and shows you where to find it. It fills in the fields and safety checks itself.

Step 3

Save and try it

Test the connection in the chat with a real case. From then on your chatbot answers such questions with live data.

Supported Integrations

Connect your chatbot to the tools you already use, or to any REST API.

WooCommerce

Order status & products

Shopify

Shop data & orders

HubSpot

Contacts & deals

Freshdesk

Tickets & support

Stripe

Payments & subscriptions

Zendesk

Helpdesk & FAQ

Salesforce

CRM & pipeline

Custom API

Any REST API

Everything You Need for API Connections

  • Visual editor, no coding skills required
  • Support for GET, POST, PUT, DELETE methods
  • Bearer Token, API Key, and Basic Auth authentication
  • Dynamic parameters from chat context
  • Automatic error handling and fallback responses
  • Real-time logging and debugging in the dashboard
// Example API Configuration
POST /api/v1/connectors
{
"url": "https://api.shop.com/orders",
"method": "GET",
"auth": "Bearer {{token}}",
"params": { "order_id": "{{user_input}}" }
}
✓ 200 OK, Response in 120ms
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Available on Standard plan and above. 14-day free trial included.

Frequently asked about API Connectors

How the chatbot fetches live data from your existing systems and APIs.

Any REST API. The chatbot supports GET, POST, PUT, PATCH, and DELETE methods, with custom headers and request body templates. Pre-built templates are available, and you can create custom connectors for any endpoint.

No. The connector is configured in the dashboard: enter URL, method, headers, and a request body template with placeholders like or . Define the visitor-facing fields the chatbot should collect, and write a prompt that tells the AI when to trigger the call. No backend code needed.

You define fields (e.g. order_id, email) with type, description, and required flag. The chatbot asks the visitor for these in natural language during the conversation, then substitutes them into the API request. Once all required fields are collected, the call is made.

Yes, with response validation rules. After the API returns data, the chatbot checks specified response paths (e.g. billing.email) against visitor-provided fields using equals, equals (ignore case), contains, or not empty comparisons. If validation fails, a configured error message is shown instead of the data.

Yes. The AI can chain connectors automatically, for example: Connector 1 authenticates a customer and returns a token, Connector 2 uses that token to fetch order details. Configure each connector independently and describe the dependency in the prompt; the AI orchestrates the sequence.

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