--- title: "Connect Google BigQuery to Moderation API - APIANT.ai" description: "When \"New Job Completed\" fires in Google BigQuery, your agent runs \"Add author\" in Moderation API." canonical: "https://apiant.ai/connect/google-bigquery-to-moderation-api" --- # Connect Google BigQuery to Moderation API When **New Job Completed** fires in [Google BigQuery](https://apiant.ai/connections/google-bigquery), your agent runs **Add author** in [Moderation API](https://apiant.ai/connections/moderation-api). Describe the whole flow and it is built, tested on every scenario and kept running. Google BigQuery **4** triggers Google BigQuery **10** actions Moderation API **18** 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 Moderation API 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. 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[Setup guide (opens in a new tab)](https://apiant.ai/docs/mcp) Example flows ## What Google BigQuery can start in Moderation API - When **New Job Completed** in Google BigQuery then **Add author** in Moderation API - When **New Row** in Google BigQuery then **Add wordlist** in Moderation API 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 Moderation API ## Triggers and actions 4 triggers · 28 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. - Action **Add author** Creates a new author (a user of your platform) in Moderation API so their content and behavior can be tracked and moderated. - Action **Add wordlist** Creates a new wordlist in your Moderation API organization, optionally filled with an initial set of words. Add the wordlist to a policy to use it in moderation. - Action **Add words to wordlist** Adds words or phrases to an existing wordlist. Words already on the list are ignored. - Action **Block author** Blocks an author so they cannot post new content until they are unblocked. - Action **Delete author** Deletes an author, resetting their status, blocks, trust level, metrics and action history. The author is recreated with a clean record the next time their content is moderated. - Action **Extract All Data** Analyzes a piece of text and returns all data found in it — email addresses, phone numbers, URLs, addresses, names and other personal information or wordlist matches — along with the overall moderation result. - Action **Get author** Returns an author's details, including their status, trust level, block details, risk level, content metrics and metadata. - Action **Get Moderated Text** Submits a piece of text for moderation and returns the moderated text (with any personal information or banned words masked), along with whether it was flagged and the recommended action. - Action **Get Moderation Object** Submits a structured object made of several named text, image, video or audio parts (for example a profile's name, bio and avatar) for moderation, and returns the evaluation, the recommended action and the per-policy results. - Action **Get wordlist** Returns a single wordlist, including its name, strict-mode setting and every word it contains. - Action **List authors** Returns the authors in your Moderation API project, with their status, trust level and content metrics. By default the most recently active authors come first. - Action **List queue items** Returns the items in a review queue, with the queue's own filters applied. By default only items still waiting for review are returned. - Action **List wordlists** Returns the wordlists in your Moderation API organization, with each wordlist's name, description and creation date. - Action **Moderate content** Submits text, an image, a video, audio or a structured object for moderation and returns whether it was flagged, the recommended action (allow, review or reject) and the per-policy results. - Action **Resolve queue item** Marks an item in a review queue as resolved, removing it from the queue's pending list. - Action **Send feedback** Sends a feature request, bug report or other feedback to the Moderation API team, who may reply by email. - Action **Unblock author** Unblocks a blocked or suspended author so they can post new content again. - Action **Update author** Updates an existing author's profile in Moderation API, such as their name, email, company, trust level or metadata, and returns the updated author. ## 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) - [ **Moderation API** Automatically detect and hide personal information like email addresses and phone numbers - even if the user...](https://apiant.ai/connections/moderation-api) 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 Moderation API - [ **HubSpot to Moderation API** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/hubspot-to-moderation-api) - [ **Salesforce to Moderation API** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/salesforce-to-moderation-api) - [ **Slack to Moderation API** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/slack-to-moderation-api) - [ **Google Sheets to Moderation API** Google Sheets](https://apiant.ai/connect/google-sheets-to-moderation-api) - [ **Gmail to Moderation API** Gmail is Google’s email service, featuring spam protection, search functions, and seamless integration with...](https://apiant.ai/connect/gmail-to-moderation-api) - [ **Google Calendar to Moderation API** Google Calendar is a time management tool providing scheduling features, event reminders, and integration...](https://apiant.ai/connect/google-calendar-to-moderation-api) Questions ## Google BigQuery and Moderation API, 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 Moderation API when something happens in Google BigQuery? Any of Moderation API's 18 actions, including Send feedback, Update author, Add author and Add wordlist. Your agent maps the data both ways and tests every scenario before it ships. ### ### Can it also run from Moderation API to Google BigQuery? Moderation API has no triggers in the catalog today, so automations start in Google BigQuery. If you need the other direction, ask: your agent reads Moderation API's API documentation and adds it. ### ### Do I have to build a connector for Google BigQuery or Moderation API? 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 Moderation API 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.