---
title: "Connect Amazon SageMaker to FakeNamely - APIANT.ai"
description: "When \"New Training Job\" fires in Amazon SageMaker, your agent runs \"Generate address\" in FakeNamely."
canonical: "https://apiant.ai/connect/amazon-sagemaker-to-fakenamely"
---

# Connect Amazon SageMaker to FakeNamely

When **New Training Job** fires in [Amazon SageMaker](https://apiant.ai/connections/amazon-sagemaker), your agent runs **Generate address** in [FakeNamely](https://apiant.ai/connections/fakenamely). Describe the whole flow and it is built, tested on every scenario and kept running.

Amazon SageMaker **1** trigger Amazon SageMaker **1** action FakeNamely **6** actions

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

## What do you want Amazon SageMaker and FakeNamely 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)

Example flows

## What Amazon SageMaker can start in FakeNamely

- When **New Training Job** in Amazon SageMaker then **Generate address** in FakeNamely
- When **New Training Job** in Amazon SageMaker then **Generate field** in FakeNamely

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 Amazon SageMaker and FakeNamely

## Triggers and actions 1 trigger · 7 actions

- Trigger

**New Training Job**

Triggers when a new SageMaker training job is created.

- Action

**Invoke Endpoint**

Sends input to a deployed Amazon SageMaker model endpoint and returns its prediction.

- Action

**Generate address**

Generate one or more fictional postal addresses in a given country's format.

- Action

**Generate field**

Generate a single fake field value (phone, email, username, password, guid, zip, coordinates, location, city, country, company, or imei).

- Action

**Generate identity**

Generate one or more complete fictional identities (name, address, contact details) for testing or database seeding.

- Action

**Generate IMEI**

Generate one or more Luhn-valid test IMEI numbers.

- Action

**Generate name**

Generate one or more fictional personal names.

- Action

**Validate value**

Check a value's checksum/format validity (Luhn, card, IBAN, ABA, VIN, or password strength) and return a verdict plus structured detail.

## Each app on its own

- [ **Amazon SageMaker** Amazon SageMaker is a cloud platform for building, training, and deploying machine learning models at scale](https://apiant.ai/connections/amazon-sagemaker)
- [ **FakeNamely** Fictional identities, addresses and names for tests](https://apiant.ai/connections/fakenamely)

Reviews

## What our customers say

## More from Amazon SageMaker

- [ **Amazon SageMaker to HubSpot** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/amazon-sagemaker-to-hubspot)
- [ **Amazon SageMaker to Salesforce** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/amazon-sagemaker-to-salesforce)
- [ **Amazon SageMaker to Slack** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/amazon-sagemaker-to-slack)
- [ **Amazon SageMaker to Google Sheets** Google Sheets is Google's online spreadsheet app for creating, editing and sharing spreadsheets.](https://apiant.ai/connect/amazon-sagemaker-to-google-sheets)
- [ **Amazon SageMaker to Gmail** Gmail is Google’s email service, featuring spam protection, search functions, and seamless integration with...](https://apiant.ai/connect/amazon-sagemaker-to-gmail)
- [ **Amazon SageMaker to Google Calendar** Google Calendar is a time management tool providing scheduling features, event reminders, and integration...](https://apiant.ai/connect/amazon-sagemaker-to-google-calendar)

## More into FakeNamely

- [ **HubSpot to FakeNamely** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/hubspot-to-fakenamely)
- [ **Salesforce to FakeNamely** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/salesforce-to-fakenamely)
- [ **Slack to FakeNamely** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/slack-to-fakenamely)
- [ **Google Sheets to FakeNamely** Google Sheets is Google's online spreadsheet app for creating, editing and sharing spreadsheets.](https://apiant.ai/connect/google-sheets-to-fakenamely)
- [ **Gmail to FakeNamely** Gmail is Google’s email service, featuring spam protection, search functions, and seamless integration with...](https://apiant.ai/connect/gmail-to-fakenamely)
- [ **Google Calendar to FakeNamely** Google Calendar is a time management tool providing scheduling features, event reminders, and integration...](https://apiant.ai/connect/google-calendar-to-fakenamely)

Questions

## Amazon SageMaker and FakeNamely, answered

###

### What can start an automation from Amazon SageMaker?

Any of Amazon SageMaker's 1 trigger in the catalog, including New Training Job. Describe the moment in plain language and your agent picks the right one.

###

### What can your agent do in FakeNamely when something happens in Amazon SageMaker?

Any of FakeNamely's 6 actions, including Generate address, Generate field, Generate identity and Generate IMEI. Your agent maps the data both ways and tests every scenario before it ships.

###

### Can it also run from FakeNamely to Amazon SageMaker?

FakeNamely has no triggers in the catalog today, so automations start in Amazon SageMaker. If you need the other direction, ask: your agent reads FakeNamely's API documentation and adds it.

###

### Do I have to build a connector for Amazon SageMaker or FakeNamely?

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 Amazon SageMaker and FakeNamely 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.
