---
title: "Connect BigML and Typeform - APIANT.ai"
description: "When \"New project\" fires in BigML, your agent runs \"Create Form\" in Typeform, or \"New Form Response\" in Typeform to \"List Datasets\" in BigML."
canonical: "https://apiant.ai/connect/bigml-to-typeform"
---

# Connect BigML and Typeform

When **New project** fires in [BigML](https://apiant.ai/connections/bigml), your agent runs **Create Form** in [Typeform](https://apiant.ai/connections/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.

BigML **1** trigger BigML **4** actions Typeform **1** trigger Typeform **20** actions

What the catalog holds today. Ask for anything missing and your agent reads the API documentation and adds it.

## What do you want BigML and Typeform to do together?

Give your AI client this address.

`https://mcp.apiant.ai`

One 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.ai`

Start Claude Code there, approve the server, and sign in in the browser page it opens.

[Claude Code guide (opens in a new tab)](https://apiant.ai/docs/mcp/claude-code)

### 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)](https://apiant.ai/docs/mcp)

### 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)](https://apiant.ai/docs/mcp)

### Zed

Open Settings, then AI, then MCP Servers, then Add Server, then Add Remote Server.

[Setup guide (opens in a new tab)](https://apiant.ai/docs/mcp)

### 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)](https://apiant.ai/docs/mcp)

### 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)](https://apiant.ai/docs/mcp)

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 project**

Triggered 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 Status**

Retrieve a BigML resource by id (source/dataset/model/prediction) to poll its status and read results.

- Action

**List Datasets**

List BigML datasets, optionally filtered/paginated.

- Action

**List Models**

List BigML models, optionally filtered/paginated.

- Action

**List Sources**

List BigML sources, optionally filtered/paginated.

- Trigger

**New Form Response**

Polling trigger: fires for each new completed form submission. Polls the responses endpoint and dedups by response token.

- Action

**Create Form**

Create a new form. Provide the full form definition object (title, fields, etc.).

- Action

**Create or Update Webhook**

Create or update a webhook on a form. Set url, enabled, and optional secret/verify_ssl.

- Action

**Create Theme**

Create a new theme (name, colors, font, etc.).

- Action

**Create Workspace**

Create a new workspace with the given name.

- Action

**Delete Form**

Permanently delete a form by its form ID.

- Action

**Delete Theme**

Delete a theme by its ID.

- Action

**Delete Webhook**

Delete a webhook from a form by its tag.

- Action

**Delete Workspace**

Delete a workspace by ID.

- Action

**Get Account**

Retrieve the authenticated user's account/profile (/me).

- Action

**Get Form**

Retrieve a single form definition by its form ID.

- Action

**Get Theme**

Retrieve a single theme by its ID.

- Action

**Get Webhook**

Retrieve a single webhook on a form by its tag.

- Action

**Get Workspace**

Retrieve a single workspace by ID.

- Action

**List Forms**

Retrieve all forms in your Typeform account (paginated).

- Action

**List Images**

Retrieve all images in your account image library.

- Action

**List Responses**

Retrieve responses (submissions) for a form, with optional filters (completed, since, until, page_size).

- Action

**List Themes**

Retrieve all themes in your account (paginated).

- Action

**List Webhooks**

List all webhooks configured on a form.

- Action

**List Workspaces**

Retrieve all workspaces in your account (paginated).

- Action

**Update Form**

Replace an existing form definition (full PUT) by form ID.

## Each app on its own

- [ **BigML** BigML is a machine learning platform for building, evaluating, and running predictive models.](https://apiant.ai/connections/bigml)
- [ **Typeform** Build and publish online forms, surveys, and quizzes with Typeform.](https://apiant.ai/connections/typeform)

Reviews

## What our customers say

## More from BigML

- [ **BigML to HubSpot** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/bigml-to-hubspot)
- [ **BigML to Salesforce** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/bigml-to-salesforce)
- [ **BigML to Slack** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/bigml-to-slack)
- [ **BigML to Mailchimp** Mailchimp marketing automation and email platform.](https://apiant.ai/connect/bigml-to-mailchimp)
- [ **BigML to Shopify** Shopify is a commerce platform for online stores and retail point-of-sale.](https://apiant.ai/connect/bigml-to-shopify)
- [ **BigML to QuickBooks Online** QuickBooks Online accounting — manage customers, invoices, bills, payments, vendors, expenses, and more via...](https://apiant.ai/connect/bigml-to-quickbooks-online)

## More into Typeform

- [ **HubSpot to Typeform** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/hubspot-to-typeform)
- [ **Mailchimp to Typeform** Mailchimp marketing automation and email platform.](https://apiant.ai/connect/mailchimp-to-typeform)
- [ **Stripe to Typeform** Stripe is a payment processing platform for online businesses.](https://apiant.ai/connect/stripe-to-typeform)
- [ **Shopify to Typeform** Shopify is a commerce platform for online stores and retail point-of-sale.](https://apiant.ai/connect/shopify-to-typeform)
- [ **QuickBooks Online to Typeform** QuickBooks Online accounting — manage customers, invoices, bills, payments, vendors, expenses, and more via...](https://apiant.ai/connect/quickbooks-online-to-typeform)
- [ **Pipedrive to Typeform** Pipedrive is a sales CRM and pipeline management tool.](https://apiant.ai/connect/pipedrive-to-typeform)

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.
