---
title: "Connect Google Analytics to Honeyhive - APIANT.ai"
description: "When \"New Daily Report Row\" fires in Google Analytics, your agent runs \"Add batch of events\" in Honeyhive."
canonical: "https://apiant.ai/connect/google-analytics-2-to-honeyhive"
---

# Connect Google Analytics to Honeyhive

When **New Daily Report Row** fires in [Google Analytics](https://apiant.ai/connections/google-analytics-2), your agent runs **Add batch of events** in [Honeyhive](https://apiant.ai/connections/honeyhive). Describe the whole flow and it is built, tested on every scenario and kept running.

Google Analytics **1** trigger Google Analytics **7** actions Honeyhive **25** 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 Honeyhive 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 can start in Honeyhive

- When **New Daily Report Row** in Google Analytics then **Add batch of events** in Honeyhive
- When **New Daily Report Row** in Google Analytics then **Add batch of session events** in Honeyhive

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 Honeyhive

## Triggers and actions 1 trigger · 32 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.

- Action

**Add annotation queue**

Create a new annotation queue.

- Action

**Add batch of events**

Create multiple events in one call.

- Action

**Add batch of session events**

Add a batch of events to an existing session.

- Action

**Add datapoint**

Create a new datapoint.

- Action

**Add dataset**

Create a new dataset.

- Action

**Add event**

Create a new event (LLM trace/span/tool call) in HoneyHive.

- Action

**Add run**

Create a new evaluation run (experiment).

- Action

**Add session**

Start a new tracing session.

- Action

**Delete datapoint**

Delete a datapoint by ID.

- Action

**Delete dataset**

Delete a dataset by ID.

- Action

**Delete metric**

Delete a metric by ID.

- Action

**Find events by filters**

Search/filter events.

- Action

**Get datapoint**

Retrieve a single datapoint by ID.

- Action

**Get event**

Retrieve a single event by ID.

- Action

**Get run**

Get details of an evaluation run by ID.

- Action

**List annotation queues**

List annotation queues for a project.

- Action

**List datapoints**

Retrieve a list of datapoints.

- Action

**List datasets**

Retrieve datasets for a project.

- Action

**List metrics**

List all metrics for a project.

- Action

**List runs**

Get a list of evaluation runs (experiments) for a project.

- Action

**Run metric evaluation**

Run a metric evaluation and return the result.

- Action

**Update datapoint**

Update an existing datapoint.

- Action

**Update dataset**

Update an existing dataset.

- Action

**Update event**

Update fields on an existing event.

- Action

**Update metric**

Update an existing metric.

## 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)
- [ **Honeyhive** Observability and evaluation platform for tracing, testing, and monitoring AI agents in production.](https://apiant.ai/connections/honeyhive)

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 Honeyhive

- [ **JIRA to Honeyhive** Atlassian JIRA Cloud — issue tracking and project management.](https://apiant.ai/connect/jira-to-honeyhive)
- [ **OnceHub to Honeyhive** Capture, qualify, and engage with inbound leads using ScheduleOnce, ChatOnce, FormOnce and SubmitOnce.](https://apiant.ai/connect/oncehub-to-honeyhive)
- [ **HubSpot to Honeyhive** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/hubspot-to-honeyhive)
- [ **Salesforce to Honeyhive** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/salesforce-to-honeyhive)
- [ **Slack to Honeyhive** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/slack-to-honeyhive)
- [ **Google Sheets to Honeyhive** Google Sheets](https://apiant.ai/connect/google-sheets-to-honeyhive)

Questions

## Google Analytics and Honeyhive, 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 Honeyhive when something happens in Google Analytics?

Any of Honeyhive's 25 actions, including Update datapoint, Update dataset, Update event and Update metric. Your agent maps the data both ways and tests every scenario before it ships.

###

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

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

###

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

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 Honeyhive 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.
