Connect ChartMogul to OpenAI (ChatGPT)

Adds custom attributes to customers that have the specified email address. See the docs here

Adds custom attributes to a given customer. See the docs here

Adds tags to customers that have the specified email address. See the docs here

Adds tags to a given customer. See the docs here

Creates a customer object in ChartMogul under the specified data_source See the docs here

Retrieves available options for the Customer Email field.

Retrieves available options for the Customer UUID field.

Retrieves available options for the Data Source UUID field.

Accepts details of two customer objects that you want to merge. See the docs here

Retrieves all key metrics, for the specified time period. See the docs here

Retrieves the Annualized Run Rate (ARR), for the specified time period. See the docs here

Retrieves the Average Revenue Per Account (ARPA), for the specified time period. See the docs here

Retrieves the Average Sale Price (ASP), for the specified time period. See the docs here

Retrieves the Customer Churn Rate, for the specified time period. See the docs here

Retrieves the number of active customers, for the specified time period. See the docs here

Retrieves the Customer Lifetime Value (LTV), for the specified time period. See the docs here

Retrieves a customer object from your ChartMogul account. See the docs here

Retrieves the Monthly Recurring Revenue (MRR), for the specified time period. See the docs here

Retrieves the Net MRR Churn Rate, for the specified time period. See the docs here

Returns a list of all customer objects with the specified email address in your ChartMogul account. See the docs here

Returns a list of all customer objects with the specified external_id in your ChartMogul account. See the docs here

Updates certain modifiable attributes of a customer object in your ChartMogul account. See the docs here

The Chat API, using the gpt-3.5-turbo or gpt-4 model. See the documentation

Chat using the web search tool. See the documentation

Chat with your models and allow them to invoke functions. Optionally, you can build and invoke workflows as functions. See the documentation

Chat with your files knowledge base (vector stores). See the documentation

Summarizes text using the Chat API. See the documentation

Classify items into specific categories using the Chat API. See the documentation

Translate text from one language to another using the Chat API. See the documentation

Transcribes audio into the input language. See the documentation

Creates an image given a prompt returning a URL to the image. See the documentation

Get a vector representation of a given input that can be easily consumed by machine learning models and algorithms. See the documentation

OpenAI recommends using the **Chat** action for the latest gpt-3.5-turbo API, since it's faster and 10x cheaper. This action creates a completion for the provided prompt and parameters using the older /completions API. See the documentation

Send a message or question about an image and receive a response. See the documentation

Cancels a run that is in progress. See the documentation

Sends a message and generates a response, storing the message history for a continuous conversation. See the documentation

Send a chat via the Responses API, mixing built-in tools and MCP server tools. See the documentation.

Generates audio from the input text. See the documentation

Creates an assistant with a model and instructions. See the documentation

Creates and executes a batch from an uploaded file of requests. See the documentation

Creates a job that fine-tunes a specified model from a given dataset. See the documentation

Classifies if text is potentially harmful. See the documentation

Creates a thread with optional messages and metadata, and optionally runs the thread using the specified assistant. See the documentation

Create a vector store. See the documentation

Create a vector store file. See the documentation

Deletes a specified file from OpenAI. See the documentation