--- title: "Connect Google BigQuery to Federal Reserve Market Data - APIANT.ai" description: "When \"New Job Completed\" fires in Google BigQuery, your agent runs \"Find agency MBS operations\" in Federal Reserve Market Data." canonical: "https://apiant.ai/connect/google-bigquery-to-federal-reserve-market-data" --- # Connect Google BigQuery to Federal Reserve Market Data When **New Job Completed** fires in [Google BigQuery](https://apiant.ai/connections/google-bigquery), your agent runs **Find agency MBS operations** in [Federal Reserve Market Data](https://apiant.ai/connections/federal-reserve-market-data). Describe the whole flow and it is built, tested on every scenario and kept running. Google BigQuery **4** triggers Google BigQuery **10** actions Federal Reserve Market Data **13** 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 Federal Reserve Market Data 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 Federal Reserve Market Data - When **New Job Completed** in Google BigQuery then **Find agency MBS operations** in Federal Reserve Market Data - When **New Row** in Google BigQuery then **Find FX swap operations** in Federal Reserve Market Data 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 Federal Reserve Market Data ## Triggers and actions 4 triggers · 23 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 **Find agency MBS operations** Finds agency mortgage-backed securities (AMBS) operation results from the New York Fed, filtered by operation type, date range, security method, CUSIP or security description. - Action **Find FX swap operations** Returns Federal Reserve central bank liquidity swap operations matching a date range and optional counterparties. - Action **Find reference rates by date range** Returns the New York Fed's secured and unsecured reference rates (SOFR, EFFR, OBFR, TGCR, BGCR) or volumes published between two dates. - Action **Find securities lending operations** Searches Federal Reserve securities lending operation results and extensions by date range, CUSIP or security description. - Action **Find Treasury securities operations** Searches the New York Fed's Treasury securities purchase and sale operations by date range, security type, CUSIP or description. - Action **Get agency holdings by as of date** Returns the Federal Reserve's SOMA agency securities holdings (agency debt, MBS and CMBS) as of a given weekly date. - Action **Get primary dealer market share** Returns the latest primary dealer market share statistics, either for the most recent quarter or year-to-date, broken down by security type and dealer quintile. - Action **Get primary dealer survey by time series** Returns Primary Dealer Statistics survey values for one or more time series across all series breaks. - Action **Get SOMA holdings summary** Returns the System Open Market Account (SOMA) holdings totals by security type (bills, notes and bonds, TIPS, FRNs, MBS, CMBS, agencies) for each as-of date. - Action **Get Treasury holdings by as of date** Returns the Treasury securities held in the Fed's System Open Market Account (SOMA) on a given as-of date, with CUSIP, maturity, par value and security type for each. - Action **List latest rates by type** Returns the most recently published secured or unsecured reference rates from the New York Fed. - Action **List reference rates** Returns the most recently published secured and unsecured reference rates (SOFR, BGCR, TGCR, EFFR, OBFR and the SOFR averages and index). - Action **List SOMA as of dates** Returns the list of all as-of dates for which System Open Market Account (SOMA) holdings data is available. ## 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) - [ **Federal Reserve Market Data** Provides financial market operations data (AMBS, Treasury Securities, and Securities Lending operations) via...](https://apiant.ai/connections/federal-reserve-market-data) 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 Federal Reserve Market Data - [ **HubSpot to Federal Reserve Market Data** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/hubspot-to-federal-reserve-market-data) - [ **Salesforce to Federal Reserve Market Data** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/salesforce-to-federal-reserve-market-data) - [ **Slack to Federal Reserve Market Data** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/slack-to-federal-reserve-market-data) - [ **Google Sheets to Federal Reserve Market Data** Google Sheets](https://apiant.ai/connect/google-sheets-to-federal-reserve-market-data) - [ **Gmail to Federal Reserve Market Data** Gmail is Google’s email service, featuring spam protection, search functions, and seamless integration with...](https://apiant.ai/connect/gmail-to-federal-reserve-market-data) - [ **Google Calendar to Federal Reserve Market Data** Google Calendar is a time management tool providing scheduling features, event reminders, and integration...](https://apiant.ai/connect/google-calendar-to-federal-reserve-market-data) Questions ## Google BigQuery and Federal Reserve Market Data, 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 Federal Reserve Market Data when something happens in Google BigQuery? Any of Federal Reserve Market Data's 13 actions, including Find agency MBS operations, Find FX swap operations, Find reference rates by date range and Find securities lending operations. Your agent maps the data both ways and tests every scenario before it ships. ### ### Can it also run from Federal Reserve Market Data to Google BigQuery? Federal Reserve Market Data has no triggers in the catalog today, so automations start in Google BigQuery. If you need the other direction, ask: your agent reads Federal Reserve Market Data's API documentation and adds it. ### ### Do I have to build a connector for Google BigQuery or Federal Reserve Market Data? 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 Federal Reserve Market Data 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.