--- title: "Connect DecisionRules and Google BigQuery - APIANT.ai" description: "When \"New Rules\" fires in DecisionRules, your agent runs \"Create Row\" in Google BigQuery." canonical: "https://apiant.ai/connect/decisionrules-to-google-bigquery" --- # Connect DecisionRules and Google BigQuery When **New Rules** fires in [DecisionRules](https://apiant.ai/connections/decisionrules), your agent runs **Create Row** in [Google BigQuery](https://apiant.ai/connections/google-bigquery), or **New Job Completed** in Google BigQuery to **Add folder** in DecisionRules. Describe the whole flow and it is built, tested on every scenario and kept running. DecisionRules **1** trigger DecisionRules **10** 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 DecisionRules 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 DecisionRules and Google BigQuery can do together ### From DecisionRules to Google BigQuery - When **New Rules** in DecisionRules then **Create Row** in Google BigQuery - When **New Rules** in DecisionRules then **Create Rows** in Google BigQuery ### From Google BigQuery to DecisionRules - When **New Job Completed** in Google BigQuery then **Add folder** in DecisionRules - When **New Row** in Google BigQuery then **Add rule** in DecisionRules 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 DecisionRules and Google BigQuery ## Triggers and actions 5 triggers · 20 actions - Trigger **New Rules** Fires once for each new rule or rule flow added to the DecisionRules space. - Action **Add folder** Create a folder under a node. - Action **Add rule** Create a rule in a space. - Action **Add rule version** Create a new version of a rule. - Action **Add tags to rule** Add tags to a rule. - Action **Delete rule** Delete a rule or rule version. - Action **Get rule** Gets the latest version of a rule by its ID or alias, regardless of publication status. - Action **List folders** Get the root folder tree. - Action **List rules** List rules in a space. - Action **Update rule** Update a rule version. - Action **Update rule status** Publish/pending/archive a rule version. - 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 - [ **DecisionRules** DecisionRules is a no-code business rule engine that lets you automate and manage complex decision logic...](https://apiant.ai/connections/decisionrules) - [ **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 DecisionRules - [ **DecisionRules to HubSpot** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/decisionrules-to-hubspot) - [ **DecisionRules to Salesforce** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/decisionrules-to-salesforce) - [ **DecisionRules to Slack** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/decisionrules-to-slack) - [ **DecisionRules to Google Sheets** Google Sheets is Google's online spreadsheet app for creating, editing and sharing spreadsheets.](https://apiant.ai/connect/decisionrules-to-google-sheets) - [ **DecisionRules to Gmail** Gmail is Google’s email service, featuring spam protection, search functions, and seamless integration with...](https://apiant.ai/connect/decisionrules-to-gmail) - [ **DecisionRules to Google Calendar** Google Calendar is a time management tool providing scheduling features, event reminders, and integration...](https://apiant.ai/connect/decisionrules-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 ## DecisionRules and Google BigQuery, answered ### ### What can start an automation from DecisionRules? Any of DecisionRules's 1 trigger in the catalog, including New Rules. 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 DecisionRules? 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 DecisionRules? Yes. When something happens in Google BigQuery, your agent can act in DecisionRules too. This page covers both directions: Google BigQuery's triggers and DecisionRules's actions are listed here as well. ### ### Do I have to build a connector for DecisionRules 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 DecisionRules and Google BigQuery 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.