# Konverse AI Developer Hub Welcome to Konverse AI Developer Hub. Here you can find all documentation to leverage our REST APIs and integrate existing solutions to our Conversational Sales & Marketing AI Platform. ## Reference The API is organized around REST. All requests should be made over SSL. All request and response bodies, including errors, are encoded in JSON. We have specific language bindings to make integration easier. # Authentication Authentication is done via the App ID & API key which you can find in your account settings. Requests are authenticated using HTTP Basic Auth. Provide your API key as the basic auth username. You do not need to provide a password. You can also refresh your API keys if you believe that it has been compromised. # Errors # Rate Limit You can make 60 requests per minute to our API. If you think you’ll need a higher rate limit, drop us a line at . # Webhook Endpoints You can use our webhooks to receive notifications & events based on a number of activities done by a lead or user. Some examples of our webhook endpoints include chat-based activity, buying probability, page exits, engagement score and more. {% hint style="info" %} Our webhooks are not limited to the activities mentioned here. If you're looking for a specific outcome, reach out to our support team for further details. {% endhint %} # Embedded Functions Our Platform allows you to send embed functions written in node JS which allows you integrate third-party APIs directly inside your chatbot ``` let { ExtendedLogger } = require("@function-logger"); let logger = new ExtendedLogger("default", "bot_id", "functionNamespace"); module.exports = async (ctx) => { let session = ctx.session; let config = ctx.config; let metadata = ctx.metadata; let params = ctx.params; let visitor = ctx.visitor; return new Promise((resolve, reject) => { //...your code goes here resolve(ctx); //Always resolve ctx variable }) } ``` Embedded functions as a services pass the conversation context (ctx) into your function allows to to return response, and process information that the chatbot has collected about the visitor and their sessions # Send Text Message Embedded functions allows to send a text message from the function. A sample code is mentioned below ``` ctx.sendText("Your Text Here"); ``` # Send Quick Reply Our platform allows you to send quick reply from the embedded functions. A Quick Reply allows you to send a text message with suggestion buttons. Each button can take you to different story point ``` ctx.sendQuickReply("This is a test", [{ "title" : "