Integration
Connect BigML and Typeform
When New project fires in BigML, your agent runs Create Form in Typeform, or New Form Response in Typeform to List Datasets in BigML. 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 BigML and Typeform 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)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)Typeform collects the answers and BigML holds the models that make sense of them. Connecting the two means a completed Typeform response can look up the datasets, sources or models in BigML that belong to that form and check whether a resource has finished processing, while a new BigML project can open a matching Typeform workspace or form.
Example flows
What BigML and Typeform can do together
From BigML to Typeform
When New project in BigML
then Create Form in Typeform
When New project in BigML
then Create Workspace in Typeform
From Typeform to BigML
When New Form Response in Typeform
then List Datasets in BigML
When New Form Response in Typeform
then List Models in BigML
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 BigML and Typeform
Triggers and actions 2 triggers · 24 actions
Trigger
New projectTriggered when a new project is created in BigML. Polls the BigML projects list endpoint and emits each project, deduplicated by its resource id.
Action
Get Resource StatusRetrieve a BigML resource by id (source/dataset/model/prediction) to poll its status and read results.
Action
List DatasetsList BigML datasets, optionally filtered/paginated.
Action
List ModelsList BigML models, optionally filtered/paginated.
Action
List SourcesList BigML sources, optionally filtered/paginated.
Trigger
New Form ResponsePolling trigger: fires for each new completed form submission. Polls the responses endpoint and dedups by response token.
Action
Create FormCreate a new form. Provide the full form definition object (title, fields, etc.).
Action
Create or Update WebhookCreate or update a webhook on a form. Set url, enabled, and optional secret/verify_ssl.
Action
Create ThemeCreate a new theme (name, colors, font, etc.).
Action
Create WorkspaceCreate a new workspace with the given name.
Action
Delete FormPermanently delete a form by its form ID.
Action
Delete ThemeDelete a theme by its ID.
Action
Delete WebhookDelete a webhook from a form by its tag.
Action
Delete WorkspaceDelete a workspace by ID.
Action
Get AccountRetrieve the authenticated user's account/profile (/me).
Action
Get FormRetrieve a single form definition by its form ID.
Action
Get ThemeRetrieve a single theme by its ID.
Action
Get WebhookRetrieve a single webhook on a form by its tag.
Action
Get WorkspaceRetrieve a single workspace by ID.
Action
List FormsRetrieve all forms in your Typeform account (paginated).
Action
List ImagesRetrieve all images in your account image library.
Action
List ResponsesRetrieve responses (submissions) for a form, with optional filters (completed, since, until, page_size).
Action
List ThemesRetrieve all themes in your account (paginated).
Action
List WebhooksList all webhooks configured on a form.
Action
List WorkspacesRetrieve all workspaces in your account (paginated).
Action
Update FormReplace an existing form definition (full PUT) by form ID.
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
BigML and Typeform, answered
Can a Typeform response be scored by a BigML model automatically?
The BigML actions here list sources, datasets and models and read a resource by id, so a new Typeform response can find the right model and check its status. Creating a prediction is not one of the listed actions, so the flow reports what the model resource says rather than producing a new one.
What happens when a BigML project is created?
The New project trigger fires for each project, deduplicated by its resource id, and from there the agent can create a Typeform workspace or a new form for that project. The agent tests every scenario before it goes live and keeps watching the connection afterwards.
What can start an automation from BigML?
Any of BigML's 1 trigger in the catalog, including New project. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Typeform when something happens in BigML?
Any of Typeform's 20 actions, including Create Form, Create Workspace, Create or Update Webhook and Create Theme. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Typeform to BigML?
Yes. When something happens in Typeform, your agent can act in BigML too. This page covers both directions: Typeform's triggers and BigML's actions are listed here as well.
Do I have to build a connector for BigML or Typeform?
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 BigML and Typeform 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.