# Connect Google BigQuery to Docupanda When **New Job Completed** fires in [Google BigQuery](https://apiant.ai/connections/google-bigquery), your agent runs **Get job** in [Docupanda](https://apiant.ai/connections/docupanda). Describe the whole flow and it is built, tested on every scenario and kept running. Google BigQuery **4** triggers Google BigQuery **10** actions Docupanda **14** 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 Docupanda to do together? Give your AI client this address. `https://mcp.apiant.ai` 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 Docupanda - When **New Job Completed** in Google BigQuery then **Get job** in Docupanda - When **New Row** in Google BigQuery then **Add document** in Docupanda 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 Docupanda ## Triggers and actions 4 triggers · 24 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 class** Adds a new document class, with a name and description, to your classification taxonomy. - Action **Add document** Submits a document to DocuPipe for processing from a URL or base64 file contents, and returns its document id and job id. - Action **Add schema** Creates a new extraction schema in DocuPanda from a JSON Schema definition, describing the structured data to pull from documents. - Action **Classify documents** Starts a classification job that sorts one or more documents into your classes. Returns the job ID and status. - Action **Delete document** Deletes a document previously submitted to DocuPanda for processing. - Action **Find documents** Finds documents whose filename or document ID matches the search text, optionally within one dataset. - Action **Get document** Returns a processed document, including its processing status, extracted text, pages and metadata. - Action **Get job** Returns a DocuPanda job by its ID, including its status, timestamps and job-type-specific details. - Action **Get schema** Returns a DocuPanda extraction schema by its ID, including its name, JSON schema definition and guidelines. - Action **Get standardization** Returns a standardization's extracted JSON data along with its document, schema, job and metadata details. - Action **List classes** Returns every document class defined in your DocuPipe classification taxonomy. - Action **List documents** Returns the documents submitted to DocuPipe, optionally filtered by dataset and creation date range. - Action **List schemas** Returns the extraction schemas in your DocuPanda account. - Action **Standardize documents** Starts standardizing a document into structured data against a schema (or an auto-generated draft schema). Returns the job and standardization ids. ## 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) - [ **Docupanda** AI document extraction API that converts unstructured PDFs and scans into structured JSON data.](https://apiant.ai/connections/docupanda) 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 Docupanda - [ **HubSpot to Docupanda** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/hubspot-to-docupanda) - [ **Salesforce to Docupanda** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/salesforce-to-docupanda) - [ **Slack to Docupanda** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/slack-to-docupanda) - [ **Google Sheets to Docupanda** Google Sheets](https://apiant.ai/connect/google-sheets-to-docupanda) - [ **Gmail to Docupanda** Gmail is Google’s email service, featuring spam protection, search functions, and seamless integration with...](https://apiant.ai/connect/gmail-to-docupanda) - [ **Google Calendar to Docupanda** Google Calendar is a time management tool providing scheduling features, event reminders, and integration...](https://apiant.ai/connect/google-calendar-to-docupanda) Questions ## Google BigQuery and Docupanda, 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 Docupanda when something happens in Google BigQuery? Any of Docupanda's 14 actions, including Add class, Add document, Add schema and Classify documents. Your agent maps the data both ways and tests every scenario before it ships. ### ### Can it also run from Docupanda to Google BigQuery? Docupanda has no triggers in the catalog today, so automations start in Google BigQuery. If you need the other direction, ask: your agent reads Docupanda's API documentation and adds it. ### ### Do I have to build a connector for Google BigQuery or Docupanda? 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. ### ### 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.