---
title: "Connect Google Analytics and Wachete - APIANT.ai"
description: "When \"New Daily Report Row\" fires in Google Analytics, your agent runs \"Create monitor\" in Wachete."
canonical: "https://apiant.ai/connect/google-analytics-2-to-wachete"
---

# Connect Google Analytics and Wachete

When **New Daily Report Row** fires in [Google Analytics](https://apiant.ai/connections/google-analytics-2), your agent runs **Create monitor** in [Wachete](https://apiant.ai/connections/wachete), or **New notification for monitor** in Wachete to **Run Realtime Report** in Google Analytics. Describe the whole flow and it is built, tested on every scenario and kept running.

Google Analytics **1** trigger Google Analytics **7** actions Wachete **2** triggers Wachete **7** actions

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

## What do you want Google Analytics and Wachete 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 Google Analytics and Wachete can do together

### From Google Analytics to Wachete

- When **New Daily Report Row** in Google Analytics then **Create monitor** in Wachete
- When **New Daily Report Row** in Google Analytics then **Update monitor** in Wachete

### From Wachete to Google Analytics

- When **New notification for monitor** in Wachete then **Run Realtime Report** in Google Analytics
- When **Any new notification** in Wachete then **Run Report** in Google Analytics

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 Google Analytics and Wachete

## Triggers and actions 3 triggers · 14 actions

- Trigger

**New Daily Report Row**

Triggers once for each report row of the previous full day (in the property's time zone), with the chosen dimensions and metrics as fields. Checks for yesterday's rows on every poll and delivers each row once.

- Action

**Get Metadata**

Returns the dimensions and metrics available for reporting on a GA4 property, including custom ones.

- Action

**Get Property**

Returns the details of one GA4 property, such as its name, time zone and currency.

- Action

**List Accounts**

Returns the Google Analytics accounts the connected user can access.

- Action

**List Audiences**

Returns the audiences defined on a GA4 property.

- Action

**List Properties**

Returns the GA4 properties under an account.

- Action

**Run Realtime Report**

Runs a GA4 realtime report covering the last 30 minutes of activity on a property.

- Action

**Run Report**

Runs a GA4 report for the chosen dimensions, metrics and date range and returns one row per dimension combination.

- Trigger

**Any new notification**

Fires when there is a new change notification from any monitor in your Wachete account.

- Trigger

**New notification for monitor**

Fires when there is a new change notification from the specified Wachete monitor (taskId).

- Action

**Create monitor**

Create a new Wachete monitor (wachet) that watches a web page or part of a page for changes.

- Action

**Delete monitor**

Delete a Wachete monitor by its ID.

- Action

**Get monitor**

Get information about a specific Wachete monitor by its ID.

- Action

**Get monitor data**

Get the captured data/history for a Wachete monitor, optionally as a diff and within a date range.

- Action

**List folders**

List folder contents, optionally under a parent folder.

- Action

**List notifications**

List change notifications, optionally filtered by monitor (taskId) and date range.

- Action

**Update monitor**

Change the settings of an existing Wachete monitor — name, URL, watched/excluded XPath, regex, note, job type, check frequency and location, crawl options, folder, alerts, notification endpoints, headers and proxies. A partial update: the op first reads the monitor's current record, overlays only the fields you filled in, then writes the merged record back, so anything you leave blank keeps its current value — including settings this op does not expose. Identify the monitor by its id. Check frequency is in seconds (86400 = daily) and is ignored if not positive; the true/false options take the words true or false; alerts, notification endpoints, headers and proxies take JSON. Returns the monitor id, name and URL after the update plus the full monitor record.

## Each app on its own

- [ **Google Analytics** Google Analytics 4 measures website and app traffic, user behavior and conversions; run reports and read...](https://apiant.ai/connections/google-analytics-2)
- [ **Wachete** Wachete monitors web pages (or parts of pages) for changes and notifies you when the text changes or...](https://apiant.ai/connections/wachete)

Reviews

## What our customers say

## More from Google Analytics

- [ **Google Analytics to ScrapingAnt** ScrapingAnt is a web scraping tool that handles proxies and headless browsers.](https://apiant.ai/connect/google-analytics-2-to-scrapingant)
- [ **Google Analytics to HubSpot** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/google-analytics-2-to-hubspot)
- [ **Google Analytics to Salesforce** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/google-analytics-2-to-salesforce)
- [ **Google Analytics to Slack** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/google-analytics-2-to-slack)
- [ **Google Analytics to Google Sheets** Google Sheets](https://apiant.ai/connect/google-analytics-2-to-google-sheets)
- [ **Google Analytics to Google Calendar** Google Calendar is a time management tool providing scheduling features, event reminders, and integration...](https://apiant.ai/connect/google-analytics-2-to-google-calendar)

## More into Wachete

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

Questions

## Google Analytics and Wachete, answered

###

### What can start an automation from Google Analytics?

Any of Google Analytics's 1 trigger in the catalog, including New Daily Report Row. Describe the moment in plain language and your agent picks the right one.

###

### What can your agent do in Wachete when something happens in Google Analytics?

Any of Wachete's 7 actions, including Create monitor, Update monitor, Get monitor and Get monitor data. Your agent maps the data both ways and tests every scenario before it ships.

###

### Can it also run from Wachete to Google Analytics?

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

###

### Do I have to build a connector for Google Analytics or Wachete?

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 Google Analytics and Wachete 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.
