Connect Lusha to OpenAI (ChatGPT)

Enriches company information based on provided company IDs. See the documentation

Enriches contacts based on provided IDs. See the documentation

Get company recommendations based on other companies. Use requestId to get more results from a previous search. See the documentation

Retrieve signals data for a list of company IDs. This endpoint allows you to get recent activities and signals for up to 100 companies per request. See the documentation

Fetch recommended contacts by supplying the contact's IDs, enabling Lusha to return similar profiles aligned by job title, seniority, and company context. Use requestId to get more results from a previous search. See the documentation

Retrieve signals data for a list of contact IDs. This endpoint allows you to get recent activities and signals for up to 100 contacts per request. See the documentation

Retrieve available signal options for a specific entity type (contact or company). This endpoint returns the list of signal types you can filter by when enriching contacts or companies. See the documentation

Retrieves available options for the Company NAICS Codes field.

Retrieves available options for the Company Revenues field.

Retrieves available options for the Company SIC Codes field.

Retrieves available options for the Company Sizes field.

Retrieves available options for the Contact Countries field.

Retrieves available options for the Contact Departments field.

Retrieves available options for the Contact Seniority Levels field.

Retrieves available options for the Existing Data Points field.

Search for companies and enrich them. See the documentation

Search for contacts and enrich them. See the documentation

Search for companies using various filters. See the documentation

Search for company signals using identifiers like domain name or company name. This endpoint combines search and signal enrichment in a single request. See the documentation

Search for contact signals using identifiers like LinkedIn URL, email, or name + company. This endpoint combines search and signal enrichment in a single request. See the documentation

Search for contacts using various filters. See the documentation

Search for companies using various filters. See the documentation

Search for a single contact using various filters. See the documentation

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