--- title: "Connect Quotient to Google BigQuery - APIANT.ai" description: "When \"Quote Completed\" fires in Quotient, your agent runs \"Get Rows for Job Completed\" in Google BigQuery." canonical: "https://apiant.ai/connect/quotient-to-google-bigquery" --- # Connect Quotient to Google BigQuery When **Quote Completed** fires in [Quotient](https://apiant.ai/connections/quotient), your agent runs **Get Rows for Job Completed** in [Google BigQuery](https://apiant.ai/connections/google-bigquery). Describe the whole flow and it is built, tested on every scenario and kept running. Quotient **6** triggers 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 Quotient and Google BigQuery 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 Quotient can start in Google BigQuery - When **Quote Completed** in Quotient then **Get Rows for Job Completed** in Google BigQuery - When **Customer Asked Question** in Quotient then **Create Row** 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 Quotient and Google BigQuery ## Triggers and actions 10 triggers · 10 actions - Trigger **Customer Asked Question** Fires instantly when a customer asks a new question on a Quotient quote. Paste the automation's webhook URL into Quotient under Account Settings → Connected Apps → Webhooks, then turn on the Customer Asked Question event. - Trigger **Customer Viewed Quote** Fires instantly when a customer views a Quotient quote; repeat views within 6 hours fire only once. Paste the automation's webhook URL into Quotient under Account Settings → Connected Apps → Webhooks, then turn on the Customer Viewed Quote event. - Trigger **Quote Accepted** Fires instantly when a customer accepts a quote in Quotient. Paste the automation's webhook URL into Quotient under Account Settings → Connected Apps → Webhooks, then turn on the Quote Accepted event. - Trigger **Quote Completed** Fires instantly when a quote is marked completed in Quotient. Paste the automation's webhook URL into Quotient under Account Settings → Connected Apps → Webhooks, then turn on the Quote Completed event. - Trigger **Quote Declined** Fires instantly when a quote is declined in Quotient. Paste the automation's webhook URL into Quotient under Account Settings → Connected Apps → Webhooks, then turn on the Quote Declined event. - Trigger **Quote Sent** Fires instantly when a new quote is first sent from Quotient. Paste the automation's webhook URL into Quotient under Account Settings → Connected Apps → Webhooks, then turn on the Quote Sent event. - 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 - [ **Quotient** Quotient is online quoting that enables your customer to pick-and-choose, ask a question, and ultimately...](https://apiant.ai/connections/quotient) - [ **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 Quotient - [ **Quotient to HubSpot** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/quotient-to-hubspot) - [ **Quotient to Salesforce** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/quotient-to-salesforce) - [ **Quotient to Slack** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/quotient-to-slack) - [ **Quotient to Google Sheets** Google Sheets is Google's online spreadsheet app for creating, editing and sharing spreadsheets.](https://apiant.ai/connect/quotient-to-google-sheets) - [ **Quotient to Gmail** Gmail is Google’s email service, featuring spam protection, search functions, and seamless integration with...](https://apiant.ai/connect/quotient-to-gmail) - [ **Quotient to Google Calendar** Google Calendar is a time management tool providing scheduling features, event reminders, and integration...](https://apiant.ai/connect/quotient-to-google-calendar) ## 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 ## Quotient and Google BigQuery, answered ### ### What can start an automation from Quotient? Any of Quotient's 6 triggers in the catalog, including Quote Completed, Customer Asked Question, Customer Viewed Quote and Quote Accepted. 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 Quotient? 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 Quotient? Google BigQuery has no triggers in the catalog today, so automations start in Quotient. If you need the other direction, ask: your agent reads Google BigQuery's API documentation and adds it. ### ### Do I have to build a connector for Quotient 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. ### ### Can my AI client use Quotient and Google BigQuery without building an automation? Yes. With your AI client connected to APIANT, ask it to do something in Google BigQuery 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.