Integration
Connect Google BigQuery and SwagUp
When New Job Completed fires in Google BigQuery, your agent runs Find an Order in SwagUp, or New or Updated Order in SwagUp to Create Row in Google BigQuery. Describe the whole flow and it is built, tested on every scenario and kept running.
What the catalog holds today. Ask for anything missing and your agent reads the API documentation and adds it.
Build solutions, not workarounds.
What do you want Google BigQuery and SwagUp to do together?
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Connect your AI client
Give your AI client this address.
https://mcp.apiant.aiOne 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.aiStart Claude Code there, approve the server, and sign in in the browser page it opens.
Claude Code guide (opens in a new tab)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)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)Zed
Open Settings, then AI, then MCP Servers, then Add Server, then Add Remote Server.
Setup guide (opens in a new tab)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)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)Example flows
What Google BigQuery and SwagUp can do together
From Google BigQuery to SwagUp
When New Job Completed in Google BigQuery
then Find an Order in SwagUp
When New Row in Google BigQuery
then Add Funds to Credit Balance in SwagUp
From SwagUp to Google BigQuery
When New or Updated Order in SwagUp
then Create Row in Google BigQuery
When New or Updated Shipment Status in SwagUp
then Create Rows in Google BigQuery
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 SwagUp
Triggers and actions 11 triggers · 20 actions
Trigger
New Job CompletedTriggers when a BigQuery job in the project finishes, whether it succeeded or failed.
Trigger
New RowTriggers 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 RowTriggers when a row in a table is added or changed, detected by a last-updated timestamp column you name.
Action
Create RowCreates a new row of data in a table. Note: Does not create a job.
Action
Create RowsCreates new rows of data in a table (accepts line items). Note: Does not create a job.
Action
Delete RowsDeletes every row in a table whose match column equals the value you give.
Action
Find One RowFinds the first row in a table whose column equals the value you give.
Action
Get Rows for Job CompletedReturns the result rows of a finished query job.
Action
Import DataImports 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 DatasetsReturns the datasets in a Google Cloud project.
Action
List TablesReturns the tables in a BigQuery dataset.
Action
Run a QueryRuns 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.
Trigger
Low Credit BalanceTriggers when your SwagUp credit balance is below the amount you choose, and again each time the low balance changes.
Trigger
Low Stock for a ProductTriggers when a product in your SwagUp inventory is running low on stock, and again if its stock levels change while it stays low.
Trigger
New or Updated OrderTriggers when an order is created or updated.
Trigger
New or Updated Shipment StatusTriggers when a shipment is created or its delivery status changes.
Trigger
New or Updated Shipment TrackingTriggers when a shipment first gets a tracking number or its tracking number changes.
Trigger
New RedemptionTriggered when a unique code in a code-validator campaign is redeemed. Fires each time the code's use count increases.
Trigger
Product DeactivatedTriggers when a product in your SwagUp account is deactivated.
Action
Add Funds to Credit BalanceAdds funds to the SwagUp account's credit balance and returns the amount added and the new current balance.
Action
Create a New RecipientCreates a new recipient (contact) in the SwagUp directory with their name, contact details and shipping address, and returns the created recipient.
Action
Find an OrderReturns the SwagUp account orders that match a search term, such as an order number, with optional filters for status, proof, invoice and date.
Action
Find a Product by NameReturns the SwagUp products and packs in your account that match the specified name, with their stock, status and pack contents.
Action
Find a RecipientReturns the recipients in your SwagUp contact directory that match the search text, with optional filters such as company, external id, and creation or modification period.
Action
Find a ShipmentReturns the shipments that match a search term, recipient, invoice, external ID or shipment IDs, with optional status and date filters.
Action
Find Inventory for ProductsReturns the current inventory of the specified products, including the stock quantity on hand for each size.
Action
Generate a Unique URLCreates a unique redemption code (token) on a SwagUp code-validator campaign, with its validity dates, usage limit and base URL, and returns the created token.
Action
Reorder an Existing ProductPlaces a new SwagUp order for more units of a product already in your account, and returns the created order.
Action
Update Existing Recipient InformationUpdates the details of an existing recipient in your SwagUp directory, such as their name, contact details or shipping address, and returns the updated recipient.
No trigger or action matches that. Ask your agent to add it: it reads the API documentation and builds what you describe.
Each app on its own
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Questions
Google BigQuery and SwagUp, 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 SwagUp when something happens in Google BigQuery?
Any of SwagUp's 10 actions, including Create a New Recipient, Update Existing Recipient Information, Add Funds to Credit Balance and Find an Order. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from SwagUp to Google BigQuery?
Yes. When something happens in SwagUp, your agent can act in Google BigQuery too. This page covers both directions: SwagUp's triggers and Google BigQuery's actions are listed here as well.
Do I have to build a connector for Google BigQuery or SwagUp?
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 SwagUp 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.