Integration

Connect BigML and Shopify

When New project fires in BigML, your agent runs Get customer in Shopify, or New customer in Shopify to List Models 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 Shopify to do together?

Ask the assistant

You'll sign in before anything runs. What you typed comes with you.

Examples

Pick one to fill the box, then change anything: the steps, the wording, even the apps. Go as long as you like.

Connect your AI client

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)
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)

BigML holds the models and predictions; Shopify holds the orders, customers and products. Connecting them lets a paid order in Shopify pull a prediction result out of BigML and write it back as a tag or metafield, and lets a new BigML project pick up the catalog details it needs from your store.

Example flows

What BigML and Shopify can do together

From BigML to Shopify

From Shopify to 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 Shopify

Triggers and actions 18 triggers · 82 actions

Each app on its own

Reviews

What our customers say

More from BigML

More into Shopify

Questions

BigML and Shopify, answered

Can a Shopify order look up its prediction in BigML?

Yes. A Shopify order trigger can call Get Resource Status in BigML with the prediction id, then write the result back with actions such as Add tags to customer or Add tags to order. The agent tests every scenario, including the case where BigML reports the resource is not finished yet.

What can start a run on the BigML side?

BigML offers the New project trigger, so a newly created project can drive Shopify actions like Find product by title or Get product count: active products. Model and dataset details are read through the List Models, List Datasets and List Sources actions rather than triggers.

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 Shopify when something happens in BigML?

Any of Shopify's 78 actions, including Get customer, Get product count: active products, Create Metafield Definition and Create Order with Calculated Tax. Your agent maps the data both ways and tests every scenario before it ships.

Can it also run from Shopify to BigML?

Yes. When something happens in Shopify, your agent can act in BigML too. This page covers both directions: Shopify's triggers and BigML's actions are listed here as well.

Do I have to build a connector for BigML or Shopify?

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 Shopify 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.