--- title: "Connect Google BigQuery and Pingdom - APIANT.ai" description: "When \"New Job Completed\" fires in Google BigQuery, your agent runs \"Get Contact\" in Pingdom, or \"New Check\" in Pingdom to \"Create Row\" in Google BigQuery." canonical: "https://apiant.ai/connect/google-bigquery-to-pingdom" --- # Connect Google BigQuery and Pingdom When **New Job Completed** fires in [Google BigQuery](https://apiant.ai/connections/google-bigquery), your agent runs **Get Contact** in [Pingdom](https://apiant.ai/connections/pingdom), or **New Check** in Pingdom to **Create Row** in Google BigQuery. Describe the whole flow and it is built, tested on every scenario and kept running. Google BigQuery **4** triggers Google BigQuery **10** actions Pingdom **2** triggers Pingdom **15** 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 BigQuery and Pingdom 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 BigQuery and Pingdom can do together ### From Google BigQuery to Pingdom - When **New Job Completed** in Google BigQuery then **Get Contact** in Pingdom - When **New Row** in Google BigQuery then **Get Account Credits** in Pingdom ### From Pingdom to Google BigQuery - When **New Check** in Pingdom then **Create Row** in Google BigQuery - When **New Contact** in Pingdom then **Create Rows** in Google BigQuery 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 BigQuery and Pingdom ## Triggers and actions 6 triggers · 25 actions - 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. - Trigger **New Check** Triggers when a new check is added to the account. Polling on the checks list, deduped by check id. - Trigger **New Contact** Triggers when a new alert contact is added. Polling on the contacts list, deduped by contact id. - Action **Delete Check** Deletes a check permanently. - Action **Delete Contact** Deletes an alert contact. - Action **Delete Maintenance Window** Deletes a scheduled maintenance window. - Action **Get Account Credits** Returns the account's available checks/credits. - Action **Get Average Response Time** Returns the average response time for a specified check, optionally broken down by probe or country. - Action **Get Check** Returns detailed information about a specified check. - Action **Get Contact** Returns a single contact by id. - Action **Get Outage Summary** Returns a list of status changes (up/down) for a specified check over a period. - Action **Get Performance Summary** Returns response time averages over time for a specified check. - Action **Get Raw Check Results** Returns raw test result probe data for a specified check. - Action **List Checks** Returns a list of all checks on the Pingdom account. - Action **List Contacts** Returns all contacts (alert recipients) on the account. - Action **List Maintenance Windows** Returns scheduled maintenance windows. - Action **List Teams** Returns all alerting teams on the account. - Action **List TMS Checks** Returns all Transaction (TMS) checks on the account. ## Each app on its own - [ **Google BigQuery** BigQuery is Google's serverless and highly scalable enterprise data warehouse, designed to make all your...](https://apiant.ai/connections/google-bigquery) - [ **Pingdom** Pingdom website and uptime monitoring. Reports uptime, downtime and performance of your websites, servers...](https://apiant.ai/connections/pingdom) Reviews ## What our customers say ## More from Google BigQuery - [ **Google BigQuery to HTML to Image** HTML to Image is a Powerful Image Generation API to convert HTML/CSS to Image and to take screenshots of...](https://apiant.ai/connect/google-bigquery-to-html-to-image) - [ **Google BigQuery to PaperClean** Clean document photos for printing, remove shadows, fix lighting](https://apiant.ai/connect/google-bigquery-to-paperclean) - [ **Google BigQuery to Resend** Resend is the email API for developers. It's designed for you to build, test, and send transactional and...](https://apiant.ai/connect/google-bigquery-to-resend) - [ **Google BigQuery to TypeSafe** TypeSafe's Jev model answers typed questions about a piece of content and tells you how certain it is.](https://apiant.ai/connect/google-bigquery-to-typesafe) - [ **Google BigQuery to HubSpot** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/google-bigquery-to-hubspot) - [ **Google BigQuery to Salesforce** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/google-bigquery-to-salesforce) ## More into Pingdom - [ **HubSpot to Pingdom** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/hubspot-to-pingdom) - [ **Google Sheets to Pingdom** Google Sheets is Google's online spreadsheet app for creating, editing and sharing spreadsheets.](https://apiant.ai/connect/google-sheets-to-pingdom) - [ **Gmail to Pingdom** Gmail is Google’s email service, featuring spam protection, search functions, and seamless integration with...](https://apiant.ai/connect/gmail-to-pingdom) - [ **Google Calendar to Pingdom** Google Calendar is a time management tool providing scheduling features, event reminders, and integration...](https://apiant.ai/connect/google-calendar-to-pingdom) - [ **Google Drive to Pingdom** Google Drive is a cloud storage solution for uploading, sharing, and collaborating on files across devices...](https://apiant.ai/connect/google-drive-to-pingdom) - [ **Mailchimp to Pingdom** Mailchimp marketing automation and email platform.](https://apiant.ai/connect/mailchimp-to-pingdom) Questions ## Google BigQuery and Pingdom, answered ### ### What can start an automation from Google BigQuery? Any of Google BigQuery's 4 triggers in the catalog, including New Job Completed, New Row, Query Job Completed (With Row Data) and Updated Row. Describe the moment in plain language and your agent picks the right one. ### ### What can your agent do in Pingdom when something happens in Google BigQuery? Any of Pingdom's 15 actions, including Get Account Credits, Get Average Response Time, Get Check and Get Contact. Your agent maps the data both ways and tests every scenario before it ships. ### ### Can it also run from Pingdom to Google BigQuery? Yes. When something happens in Pingdom, your agent can act in Google BigQuery too. This page covers both directions: Pingdom's triggers and Google BigQuery's actions are listed here as well. ### ### Do I have to build a connector for Google BigQuery or Pingdom? 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 BigQuery and Pingdom 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.