Connect OpenAI to NetHunt CRM

Both apps 90OpenAI 74NetHunt CRM 16

• Trigger
  New batch

  List your organization's batches.

• Trigger
  New file

  Returns a list of files.

• Trigger
  New model

  Lists the currently available models.

• Trigger
  New vector store

  Returns a list of vector stores.

• Trigger
  New video

  List recently generated videos for the current project.

• Action
  Cancel batch

  Cancels an in-progress batch.

• Action
  Cancel run

  Cancels a run that is in_progress.

• Action
  Cancel vector store file batch

  Cancel a vector store file batch.

• Action
  Content moderation

  Classifies text for hate, harassment, self-harm, sexual, and violence categories using the Moderations API.

• Action
  Count input tokens

  Returns input token counts of the request.

• Action
  Create assistant

  Create an assistant with a model and instructions.

• Action
  Create chat completion

  Sends a list of chat messages to a model via the Chat Completions API and returns the assistant's reply.

• Action
  Create completion

  Creates a completion for the provided prompt and parameters.

• Action
  Create embedding

  Generates a vector embedding for input text using an embeddings model (e.g. text-embedding-3-small).

• Action
  Create message

  Create a message.

• Action
  Create run

  Create a run.

• Action
  Creates and executes a batch from an uploaded file of requests

  Creates and executes a batch from an uploaded file of requests

• Action
  Create thread

  Create a thread.

• Action
  Create thread and run

  Create a thread and run it in one request.

• Action
  Create vector store

  Create a vector store.

• Action
  Create vector store file

  Create a vector store file by attaching a File to a vector store.

• Action
  Create vector store file batch

  Create a vector store file batch.

• Action
  Create video edit job

  Create a new video generation job by editing a source or existing generated video.

• Action
  Create video extension

  Create an extension of a completed video.

• Action
  Create video generation job

  Create a new video generation job from a prompt and optional reference assets.

• Action
  Create video remix

  Create a remix of a completed video using a refreshed prompt.

• Action
  Delete assistant

  Delete an assistant.

• Action
  Delete eval run

  Delete an eval run.

• Action
  Delete file

  Delete a file and remove it from all vector stores.

• Action
  Delete message

  Deletes a message.

• Action
  Delete thread

  Delete a thread.

• Action
  Delete vector store

  Delete a vector store.

• Action
  Delete vector store file

  Delete a vector store file (removes from store, file itself not deleted).

• Action
  Delete video

  Permanently delete a completed or failed video and its stored assets.

• Action
  Download video content

  Download the generated video bytes or a derived preview asset.

• Action
  Edit image

  Creates an edited or extended image given one or more source images and a prompt.

• Action
  Generate image

  Generates an image from a text prompt using gpt-image-1 / DALL-E and returns the image URL or base64 data.

• Action
  Generate speech

  Converts text into spoken audio using a TTS model and the selected voice. Returns audio bytes.

• Action
  Get assistant

  Retrieves an assistant.

• Action
  Get batch

  Retrieves a batch.

• Action
  Get file

  Returns information about a specific file.

• Action
  Get file content

  Returns the contents of the specified file.

• Action
  Get message

  Retrieve a message.

• Action
  Get model

  Retrieves a model instance.

• Action
  Get run

  Retrieves a run.

• Action
  Get run step

  Retrieves a run step.

• Action
  Get thread

  Retrieves a thread.

• Action
  Get vector store

  Retrieves a vector store.

• Action
  Get vector store file

  Retrieves a vector store file.

• Action
  Get vector store file batch

  Retrieves a vector store file batch.

• Action
  Get vector store file content

  Retrieve the parsed contents of a vector store file.

• Action
  Get video

  Fetch the latest metadata for a generated video.

• Action
  List conversation items

  List all items for a conversation with the given ID.

• Action
  List files

  Lists files that have been uploaded to your OpenAI account.

• Action
  List messages

  Returns a list of messages for a given thread.

• Action
  List models

  Lists the models currently available to your account.

• Action
  List runs

  Returns a list of runs belonging to a thread.

• Action
  List run steps

  Returns a list of run steps belonging to a run.

• Action
  List vector store file batch files

  Returns a list of vector store files in a batch.

• Action
  List vector store files

  Returns a list of vector store files.

• Action
  OpenAI agent message

  Runs one AI agent turn on OpenAI and returns the model's reply. The turn is billed to the OpenAI account connected on this step, and the agent can call the account's AI tool automations.

• Action
  Retrieve response

  Retrieves a previously created model response by its Response ID.

• Action
  Search vector store

  Search a vector store for relevant chunks based on a query and filter.

• Action
  Send model a message

  Sends a message to an OpenAI model via the Responses API and emits its response. Returns a Response ID usable as previous_response_id for multi-turn conversations.

• Action
  Submit tool outputs to run

  Submit tool outputs when a run requires action.

• Action
  Transcribe audio

  Transcribes audio into the input language.

• Action
  Translate audio

  Translates audio into English.

• Action
  Update assistant

  Modifies an assistant.

• Action
  Update message

  Modifies a message.

• Action
  Update run

  Modifies a run.

• Action
  Update thread

  Modifies a thread.

• Action
  Update vector store

  Modifies a vector store.

• Action
  Update vector store file attributes

  Update attributes on a vector store file.

• Action
  Upload file

  Upload a file that can be used across various endpoints.

• Trigger
  New Call Log

  Triggered when a new call log is added to a record in the specified folder.

• Trigger
  New Comment

  Triggered when a new comment is added to a record in the specified folder.

• Trigger
  New folder

  Triggered when a new folder is added.

• Trigger
  New Google Drive File in Folder

  Polls a NetHunt folder for newly attached Google Drive files linked to its records. Input: folder_id. Returns the list of new Google Drive file attachments.

• Trigger
  New or Updated Record in Folder

  Triggered when a record is created or updated in the specified folder.

• Trigger
  New Record in Folder

  Triggered when a record is created in the specified folder.

• Trigger
  Two-way sync new or updated records in folder

  A trigger for two-way syncing new and updated records in a specified folder, with enhanced on-the-fly mapping. Can only be used with enhanced two-way sync actions that support on-the-fly mapping.

• Trigger
  Updated Record in Folder

  Triggered when a record is updated in the specified folder.

• Action
  Add Call Log

  Add a call log to the specified record.

• Action
  Add Comment

  Add a comment to the specified record.

• Action
  Delete Record

  Delete a record by ID.

• Action
  Find Record

  Search records in a folder by ID or text query.

• Action
  Find record by field value

  Finds one record in a NetHunt folder by matching a field value, and projects the record's fields map alongside record_id / id / created_at. DYNAMIC OUTPUT — DOCUMENTED EXCEPTION TO THE DESIGN RULE (2026-07-20). The standing rule puts FIND ops in the IDs-only bucket: GET enriches output with a field picker, FIND/LIST return IDs only. This op is a deliberate exception because NetHunt exposes NO get-by-id endpoint, so there is no GET op that could carry the picker. Re-confirmed against live data: ?query=<recordId> returns [] for a record that demonstrably exists in that folder (record 6a48901d931c9b3a9bbfb83c in Contacts), recordId:x 400s, and find-record-by-id 404s. The choice was therefore FIND-or-nothing, and a NetHunt user with no output picker has no way to map folder fields at all. If NetHunt ever ships a get-by-id endpoint, move the picker to a proper GET op and revert this op to IDs-only. Field values are projected under `fields`, a flat object keyed by field NAME, matching the house convention of a dynamic map beside the record's own top-level keys (cf. Agile/Cliniko/Capsule/MINDBODY `custom_fields`). NetHunt has no standard-vs-custom split — every folder field is user-defined — so the whole `fields` object is the dynamic surface and the container keeps the accurate name `fields` rather than `custom_fields`. The picker is parameterized per folder: `folder_id` is a SETTING (not an input) because dynamic-schema resolution binds only against step settings, so an input-sourced folder could never resolve the discovery at automation-load time. TYPE BLINDNESS (inherent, not fixable here): the backing schema endpoint returns only {name} with no type, so the picker advertises every field as String. Live reads return numbers and lists — e.g. Deal amount 100000 and Probability 0.9 are numbers, and Company / Contact person / Manager / Email / Label are ARRAYS (link fields carry record-id arrays). Mapping one of these as a scalar fails at runtime with no design-time signal.

• Action
  List Folder Fields

  List the fields of a folder.

• Action
  List Readable Folders

  List all folders the user can read.

• Action
  List Writable Folders

  List folders the user can create records in.

No trigger or action matches that. Ask your agent to add it: it reads the API documentation and builds what you describe.