--- title: "Connect Google BigQuery to Micro-SaaS AI Suite - APIANT.ai" description: "When \"New Job Completed\" fires in Google BigQuery, your agent runs \"Classify support ticket\" in Micro-SaaS AI Suite." canonical: "https://apiant.ai/connect/google-bigquery-to-micro-saas-ai-suite" --- # Connect Google BigQuery to Micro-SaaS AI Suite When **New Job Completed** fires in [Google BigQuery](https://apiant.ai/connections/google-bigquery), your agent runs **Classify support ticket** in [Micro-SaaS AI Suite](https://apiant.ai/connections/micro-saas-ai-suite). Describe the whole flow and it is built, tested on every scenario and kept running. Google BigQuery **4** triggers Google BigQuery **10** actions Micro-SaaS AI Suite **19** 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 Micro-SaaS AI Suite 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 can start in Micro-SaaS AI Suite - When **New Job Completed** in Google BigQuery then **Classify support ticket** in Micro-SaaS AI Suite - When **New Row** in Google BigQuery then **Enrich B2B lead** in Micro-SaaS AI Suite 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 Micro-SaaS AI Suite ## Triggers and actions 4 triggers · 29 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 **Analyze review sentiment** Analyzes a product review and returns its overall sentiment and the product features it mentions. - Action **Classify support ticket** Classifies a customer support ticket by category, urgency and customer sentiment, and returns a suggested action and a draft reply. - Action **Compare product specs** Compares two products' specifications with AI and returns the winner in each category, the key differences, and an overall recommendation. - Action **Crawl website to markdown** Crawls a website starting from a URL and returns its content converted to markdown, with word and token counts. - Action **Detect fake review** Scores a product review for authenticity and returns a verdict (Genuine, Suspicious or Bot / Spam) with the risk factors found. - Action **Enrich B2B company** Returns firmographics, tech stack and decision makers for a company, looked up by its website domain. - Action **Enrich B2B lead** Enriches a B2B lead with firmographics, an intent score, and a suggested decision maker for the company. - Action **Generate product copy** Generates an SEO title, description, bullet points and keywords for a product from its name and key features. - Action **Parse document** Extracts structured data (merchant, date, totals, tax and line items) from a receipt, invoice, business card or general document image at a URL. - Action **Review PR diff** Reviews a pull request diff for security issues and returns a score, grade, verdict and comments. - Action **Scan GitHub repo** Scans a public GitHub repository and returns its details, detected tech stack, top contributors as developer leads, and repository health indicators. - Action **Scrape and extract web page** Scrapes a web page and returns the requested fields extracted into structured data. - Action **Scrape Google Maps** Searches Google Maps for businesses matching a term in a location and returns the places found, optionally enriched with contact details. - Action **Scrape Google SERP** Searches Google for a keyword and returns the organic results, People Also Ask questions and sponsored ads. - Action **Scrape Instagram profile** Scrapes public Instagram data for a profile username, a post URL, or a hashtag and returns the scraped items. - Action **Scrape Reddit** Scrapes Reddit posts (and optionally their comments) from a post URL, a subreddit, or a keyword search. - Action **Scrape YouTube Shorts** Returns YouTube Shorts videos from a channel or matching a search keyword. - Action **Track ecommerce price** Returns the current price, original price, discount, stock status and rating for an ecommerce product page. - Action **Verify email** Checks an email address for valid format, disposable provider and mail servers, and returns a deliverability score and verdict. ## 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) - [ **Micro-SaaS AI Suite** 8 serverless AI APIs for sentiment analysis, copy generation, email verification, & OCR](https://apiant.ai/connections/micro-saas-ai-suite) 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 Micro-SaaS AI Suite - [ **HubSpot to Micro-SaaS AI Suite** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/hubspot-to-micro-saas-ai-suite) - [ **Salesforce to Micro-SaaS AI Suite** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/salesforce-to-micro-saas-ai-suite) - [ **Slack to Micro-SaaS AI Suite** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/slack-to-micro-saas-ai-suite) - [ **Google Sheets to Micro-SaaS AI Suite** Google Sheets](https://apiant.ai/connect/google-sheets-to-micro-saas-ai-suite) - [ **Gmail to Micro-SaaS AI Suite** Gmail is Google’s email service, featuring spam protection, search functions, and seamless integration with...](https://apiant.ai/connect/gmail-to-micro-saas-ai-suite) - [ **Google Calendar to Micro-SaaS AI Suite** Google Calendar is a time management tool providing scheduling features, event reminders, and integration...](https://apiant.ai/connect/google-calendar-to-micro-saas-ai-suite) Questions ## Google BigQuery and Micro-SaaS AI Suite, 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 Micro-SaaS AI Suite when something happens in Google BigQuery? Any of Micro-SaaS AI Suite's 19 actions, including Analyze review sentiment, Classify support ticket, Compare product specs and Crawl website to markdown. Your agent maps the data both ways and tests every scenario before it ships. ### ### Can it also run from Micro-SaaS AI Suite to Google BigQuery? Micro-SaaS AI Suite has no triggers in the catalog today, so automations start in Google BigQuery. If you need the other direction, ask: your agent reads Micro-SaaS AI Suite's API documentation and adds it. ### ### Do I have to build a connector for Google BigQuery or Micro-SaaS AI Suite? 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 Micro-SaaS AI Suite 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.