Integration
Connect Apizeal and OpenAI
When Contact Created fires in Apizeal, your agent runs Create message in OpenAI, or New batch in OpenAI to Find Contact in Apizeal. Describe the whole flow and it is built, tested on every scenario and kept running.
What the catalog holds today. Ask for anything missing and your agent reads the API documentation and adds it.
Build solutions, not workarounds.
What do you want Apizeal and OpenAI to do together?
Ask the assistant
Connect your AI client
Give your AI client this address.
https://mcp.apiant.aiOne connection does both: ask your client to act in an app once, or have it build an automation that keeps running. Any client that takes a remote MCP server. Nothing to install. Create your free account, then sign in once in your browser.
Set it up in your client
Claude Code
Run this in the directory you want to work in.
claude mcp add --transport http -s project apiant-ai https://mcp.apiant.aiStart Claude Code there, approve the server, and sign in in the browser page it opens.
Claude Code guide (opens in a new tab)Claude, web and desktop
Open Customize, then Connectors, then Add custom connector, and paste the address. On Team and Enterprise an owner adds it first.
Setup guide (opens in a new tab)Cursor
Add the address to your MCP configuration as a server URL. Cursor signs you in in your browser.
Setup guide (opens in a new tab)Zed
Open Settings, then AI, then MCP Servers, then Add Server, then Add Remote Server.
Setup guide (opens in a new tab)Codex and the ChatGPT desktop app
Open Settings, then MCP servers, then Add server, and choose Streamable HTTP. From the terminal, Codex takes the address with its own add command and then signs you in.
Setup guide (opens in a new tab)Grok
Open grok.com/connectors, choose New Connector, then Custom, and paste the address. Grok signs you in in your browser.
Setup guide (opens in a new tab)Any other MCP client
Paste the address where the client asks for a remote MCP server URL, and name the server apiant-ai where it lets you. APIANT's skills reach the client over the same connection.
Setup guide (opens in a new tab)Example flows
What Apizeal and OpenAI can do together
From Apizeal to OpenAI
When Contact Created in Apizeal
then Create message in OpenAI
When Lead Created in Apizeal
then Create assistant in OpenAI
From OpenAI to Apizeal
When New batch in OpenAI
then Find Contact in Apizeal
When New file in OpenAI
then Find Task in Apizeal
Starting points drawn from the triggers and actions in the catalog today. Describe the flow you need, at any depth, and your agent builds it and tests every scenario before it ships.
Everything your agent can do with Apizeal and OpenAI
Triggers and actions 11 triggers · 87 actions
Trigger
Contact CreatedTriggers when a new contact (not a lead) is added in Apizeal.
Trigger
Lead CreatedTriggers when a new lead is added in Apizeal.
Trigger
Policy CreatedTriggers when a new insurance policy is added in Apizeal.
Trigger
Policy Status UpdatedTriggers when a policy's status changes in Apizeal.
Trigger
Task CreatedTriggers when a new task is added in Apizeal.
Trigger
Task Status UpdatedTriggers when a task's status changes in Apizeal.
Action
Find ContactFinds contacts and leads by name, email, phone or creation date.
Action
Find TaskFinds tasks by status, related contact or policy, or due date range.
Action
Get ContactReturns one contact (or lead) by its ID, with address, employment and agent.
Action
Get Medical AppointmentReturns one of a contact's medical appointments by its ID.
Action
Get PolicyReturns one insurance policy by its ID, with its carrier, plan, premium and holder.
Action
Get Policy MembersReturns the members (holder, applicants and dependents) of a policy.
Action
Get TaskReturns one task by its ID, with its status, due date and assignees.
Action
List CarriersReturns the insurance carriers defined in your Apizeal organization, each with its ID and name.
Action
List Contact NotesLists the notes on a contact.
Action
List Contact PoliciesLists the policies a contact holds or belongs to.
Action
List Contact RemindersLists the reminders on a contact.
Action
List Medical AppointmentsLists a contact's medical appointments.
Action
List PoliciesLists insurance policies, optionally filtered by code, effective date or submitted date.
Action
List Policy NotesLists the notes on a policy.
Action
List Policy RemindersLists the reminders on a policy.
Action
List Policy StatusesReturns the policy statuses defined in your Apizeal organization, each with its ID and name.
Action
List Product TypesReturns the product types defined in your Apizeal organization, each with its ID and name.
Trigger
New batchList your organization's batches.
Trigger
New fileReturns a list of files.
Trigger
New modelLists the currently available models.
Trigger
New vector storeReturns a list of vector stores.
Trigger
New videoList recently generated videos for the current project.
Action
Ask docs with file searchAsks an OpenAI model a question answered from a vector store via the Responses API file_search tool, and returns just the reply text. Authenticates with this account's own OpenAI connection, unlike the platform AI Agent step which requires a platform-level system key.
Action
Cancel batchCancels an in-progress batch.
Action
Cancel runCancels a run that is in_progress.
Action
Cancel vector store file batchCancel a vector store file batch.
Action
Content moderationClassifies text for hate, harassment, self-harm, sexual, and violence categories using the Moderations API.
Action
Count input tokensReturns input token counts of the request.
Action
Create assistantCreate an assistant with a model and instructions.
Action
Create chat completionSends a list of chat messages to a model via the Chat Completions API and returns the assistant's reply.
Action
Create completionCreates a completion for the provided prompt and parameters.
Action
Create embeddingGenerates a vector embedding for input text using an embeddings model (e.g. text-embedding-3-small).
Action
Create messageCreate a message.
Action
Create runCreate a run.
Action
Creates and executes a batch from an uploaded file of requestsCreates and executes a batch from an uploaded file of requests
Action
Create threadCreate a thread.
Action
Create thread and runCreate a thread and run it in one request.
Action
Create vector storeCreate a vector store.
Action
Create vector store fileCreate a vector store file by attaching a File to a vector store.
Action
Create vector store file batchCreate a vector store file batch.
Action
Create video edit jobCreate a new video generation job by editing a source or existing generated video.
Action
Create video extensionCreate an extension of a completed video.
Action
Create video generation jobCreate a new video generation job from a prompt and optional reference assets.
Action
Create video remixCreate a remix of a completed video using a refreshed prompt.
Action
Delete assistantDelete an assistant.
Action
Delete eval runDelete an eval run.
Action
Delete fileDelete a file and remove it from all vector stores.
Action
Delete messageDeletes a message.
Action
Delete threadDelete a thread.
Action
Delete vector storeDelete a vector store.
Action
Delete vector store fileDelete a vector store file (removes from store, file itself not deleted).
Action
Delete videoPermanently delete a completed or failed video and its stored assets.
Action
Download video contentDownload the generated video bytes or a derived preview asset.
Action
Edit imageCreates an edited or extended image given one or more source images and a prompt.
Action
Generate imageGenerates an image from a text prompt using gpt-image-1 / DALL-E and returns the image URL or base64 data.
Action
Generate speechConverts text into spoken audio using a TTS model and the selected voice. Returns audio bytes.
Action
Get assistantRetrieves an assistant.
Action
Get batchRetrieves a batch.
Action
Get fileReturns information about a specific file.
Action
Get file contentReturns the contents of the specified file.
Action
Get messageRetrieve a message.
Action
Get modelRetrieves a model instance.
Action
Get runRetrieves a run.
Action
Get run stepRetrieves a run step.
Action
Get threadRetrieves a thread.
Action
Get vector storeRetrieves a vector store.
Action
Get vector store fileRetrieves a vector store file.
Action
Get vector store file batchRetrieves a vector store file batch.
Action
Get vector store file contentRetrieve the parsed contents of a vector store file.
Action
Get videoFetch the latest metadata for a generated video.
Action
List conversation itemsList all items for a conversation with the given ID.
Action
List filesLists files that have been uploaded to your OpenAI account.
Action
List messagesReturns a list of messages for a given thread.
Action
List modelsLists the models currently available to your account.
Action
List runsReturns a list of runs belonging to a thread.
Action
List run stepsReturns a list of run steps belonging to a run.
Action
List vector store file batch filesReturns a list of vector store files in a batch.
Action
List vector store filesReturns a list of vector store files.
Action
OpenAI agent messageRuns 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 responseRetrieves a previously created model response by its Response ID.
Action
Search vector storeSearch a vector store for relevant chunks based on a query and filter.
Action
Send model a messageSends 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 runSubmit tool outputs when a run requires action.
Action
Transcribe audioTranscribes audio into the input language.
Action
Translate audioTranslates audio into English.
Action
Update assistantModifies an assistant.
Action
Update messageModifies a message.
Action
Update runModifies a run.
Action
Update threadModifies a thread.
Action
Update vector storeModifies a vector store.
Action
Update vector store file attributesUpdate attributes on a vector store file.
Action
Upload fileUpload a file that can be used across various endpoints.
No trigger or action matches that. Ask your agent to add it: it reads the API documentation and builds what you describe.
Each app on its own
Reviews
What our customers say
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Questions
Apizeal and OpenAI, answered
What can start an automation from Apizeal?
Any of Apizeal's 6 triggers in the catalog, including Contact Created, Lead Created, Policy Created and Policy Status Updated. Describe the moment in plain language and your agent picks the right one.
What can your agent do in OpenAI when something happens in Apizeal?
Any of OpenAI's 70 actions, including Create assistant, Create chat completion, Create completion and Create embedding. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from OpenAI to Apizeal?
Yes. When something happens in OpenAI, your agent can act in Apizeal too. This page covers both directions: OpenAI's triggers and Apizeal's actions are listed here as well.
Do I have to build a connector for Apizeal or OpenAI?
No. Both are in the catalog with their triggers and actions. You describe the automation; your agent builds it, tests every scenario and keeps it running.
Can my AI client use Apizeal and OpenAI without building an automation?
Yes. With your AI client connected to APIANT, ask it to do something in either app once and it runs that action on the spot. Ask for an automation and your agent builds it, tests every scenario and keeps it running. One connection covers both.
What happens when something fails?
Your agent works that out for you. It plans the failure paths along with the happy path, then tests every scenario before it ships.
Is there a free plan?
Yes. Every plan includes the agent, including free, and building from your own AI client spends no assistant credits.