# Connect EARLY and Google BigQuery

When **Activity Created** fires in [EARLY](https://apiant.ai/connections/early), your agent runs **Create Row** in [Google BigQuery](https://apiant.ai/connections/google-bigquery), or **New Job Completed** in Google BigQuery to **Add Member to Folder** in EARLY. Describe the whole flow and it is built, tested on every scenario and kept running.

EARLY **13** triggers EARLY **19** actions Google BigQuery **4** triggers Google BigQuery **10** actions

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

## What do you want EARLY and Google BigQuery to do together?

Give your AI client this address.

`https://mcp.apiant.ai`

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 EARLY and Google BigQuery can do together

### From EARLY to Google BigQuery

- When **Activity Created** in EARLY then **Create Row** in Google BigQuery
- When **Activity Updated** in EARLY then **Create Rows** in Google BigQuery

### From Google BigQuery to EARLY

- When **New Job Completed** in Google BigQuery then **Add Member to Folder** in EARLY
- When **New Row** in Google BigQuery then **Create Activity** in EARLY

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 EARLY and Google BigQuery

## Triggers and actions 17 triggers · 29 actions

- Trigger

**Activity Created**

Triggers when an activity is created.

- Trigger

**Activity Deleted**

Triggers when an activity is deleted.

- Trigger

**Activity Updated**

Triggers when an activity is updated.

- Trigger

**Folder Created**

Triggers when a folder is created.

- Trigger

**Folder Deleted**

Triggers when a folder is deleted.

- Trigger

**Folder Updated**

Triggers when a folder is updated.

- Trigger

**Time Entry Created**

Triggers when a time entry is created.

- Trigger

**Time Entry Deleted**

Triggers when a time entry is deleted.

- Trigger

**Time Entry Updated**

Triggers when a time entry is updated.

- Trigger

**Tracking Canceled**

Triggers when a tracking is canceled.

- Trigger

**Tracking Started**

Triggers when a new tracking is started.

- Trigger

**Tracking Stopped**

Triggers when a tracking is stopped.

- Trigger

**Tracking Updated**

Triggers when a tracking is updated.

- Action

**Add Member to Folder**

Adds a person with a given email to a folder.

- Action

**Cancel Current Tracking**

Cancels the tracking that is currently running without saving a time entry

- Action

**Create Activity**

Creates an activity.

- Action

**Create Folder**

Creates a folder.

- Action

**Create Tag**

Creates an tag.

- Action

**Create Time Entry**

Creates a time entry for a given activity, start- and end-time.

- Action

**Delete Activity**

Deletes an activity by ID

- Action

**Delete Folder**

Deletes a folder by ID

- Action

**Delete Time Entry**

Deletes a time entry by ID

- Action

**Get Current Tracking**

Gets the tracking that is currently running

- Action

**Get Folder**

Gets a folder by ID

- Action

**Get Time Entry**

Gets a time entry by ID

- Action

**List Activities**

Lists the activities in the account

- Action

**Start Tracking**

Start Tracking an Activity.

- Action

**Stop Current Tracking**

Stop the current time tracking.

- Action

**Update Activity**

Updates an existing activity by ID

- Action

**Update Current Tracking**

Updates the tracking that is currently running

- Action

**Update Folder**

Updates an existing folder by ID

- Action

**Update Time Entry**

Updates an existing time entry by ID

- Trigger

**New Job Completed**

Triggers when a BigQuery job in the project finishes, whether it succeeded or failed.

- Trigger

**New Row**

Triggers when a new row is added to a table. New rows are detected by a column you name that increases for newer rows, such as a creation time or a sequential ID.

- Trigger

**Query Job Completed (With Row Data)**

Triggers when a SELECT query job in the project finishes successfully, and includes its result rows.

- Trigger

**Updated Row**

Triggers when a row in a table is added or changed, detected by a last-updated timestamp column you name.

- Action

**Create Row**

Creates a new row of data in a table. Note: Does not create a job.

- Action

**Create Rows**

Creates new rows of data in a table (accepts line items). Note: Does not create a job.

- Action

**Delete Rows**

Deletes every row in a table whose match column equals the value you give.

- Action

**Find One Row**

Finds the first row in a table whose column equals the value you give.

- Action

**Get Rows for Job Completed**

Returns the result rows of a finished query job.

- Action

**Import Data**

Imports a JSON, CSV, Avro or Parquet file from Cloud Storage into a table. Waits up to about 40 seconds for the import to finish; larger imports keep running in BigQuery and return state RUNNING.

- Action

**List Datasets**

Returns the datasets in a Google Cloud project.

- Action

**List Tables**

Returns the tables in a BigQuery dataset.

- Action

**Run a Query**

Runs a SQL query against a table in BigQuery.

- Action

**Update Row(s)**

Updates every row in a table whose match column equals the value you give, setting the columns you choose.

## Each app on its own

- [ **EARLY** EARLY is a Time Tracking App: Effortless, Smart, and Secure.](https://apiant.ai/connections/early)
- [ **Google BigQuery** BigQuery is Google's serverless and highly scalable enterprise data warehouse, designed to make all your...](https://apiant.ai/connections/google-bigquery)

Reviews

## What our customers say

## More from EARLY

- [ **EARLY to Bugcrowd** Bugcrowd API for interacting and tracking the reported issues programmatically](https://apiant.ai/connect/early-to-bugcrowd)
- [ **EARLY to Genshin Impact** The genshin.dev API serves reference game data for Genshin Impact.](https://apiant.ai/connect/early-to-genshin-impact)
- [ **EARLY to Pipefile** Pipefile streamlines the collection of personal, financial, and otherwise sensitive documents to keep your...](https://apiant.ai/connect/early-to-pipefile)
- [ **EARLY to Pulsedive** Scan, search and collect threat intelligence data in real-time](https://apiant.ai/connect/early-to-pulsedive)
- [ **EARLY to Salesforce** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/early-to-salesforce)
- [ **EARLY to Google Sheets** Google Sheets](https://apiant.ai/connect/early-to-google-sheets)

## More into Google BigQuery

- [ **Gmail to Google BigQuery** Gmail is Google’s email service, featuring spam protection, search functions, and seamless integration with...](https://apiant.ai/connect/gmail-to-google-bigquery)
- [ **ActiveCampaign to Google BigQuery** ActiveCampaign is a marketing automation, email marketing, and CRM platform.](https://apiant.ai/connect/activecampaign-to-google-bigquery)
- [ **Airtable to Google BigQuery** Organize anything with Airtable, a modern database created for everyone.](https://apiant.ai/connect/airtable-to-google-bigquery)
- [ **Asana to Google BigQuery** Asana is a collaborative information manager for workspace.](https://apiant.ai/connect/asana-to-google-bigquery)
- [ **ClickUp to Google BigQuery** ClickUp is an all-in-one app to plan, track, and manage your work in a beautifully intuitive environment.](https://apiant.ai/connect/clickup-to-google-bigquery)
- [ **Discord to Google BigQuery** Discord is an all-in-one voice and text chat for gamers.](https://apiant.ai/connect/discord-to-google-bigquery)

Questions

## EARLY and Google BigQuery, answered

###

### What can start an automation from EARLY?

Any of EARLY's 13 triggers in the catalog, including Activity Created, Activity Updated, Folder Created and Folder Updated. Describe the moment in plain language and your agent picks the right one.

###

### What can your agent do in Google BigQuery when something happens in EARLY?

Any of Google BigQuery's 10 actions, including Create Row, Create Rows, Get Rows for Job Completed and Update Row(s). Your agent maps the data both ways and tests every scenario before it ships.

###

### Can it also run from Google BigQuery to EARLY?

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

###

### Do I have to build a connector for EARLY or Google BigQuery?

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.

###

### 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.
