--- title: "Connect Google BigQuery to Football Charts - APIANT.ai" description: "When \"New Job Completed\" fires in Google BigQuery, your agent runs \"Get track record\" in Football Charts." canonical: "https://apiant.ai/connect/google-bigquery-to-football-charts" --- # Connect Google BigQuery to Football Charts When **New Job Completed** fires in [Google BigQuery](https://apiant.ai/connections/google-bigquery), your agent runs **Get track record** in [Football Charts](https://apiant.ai/connections/football-charts). Describe the whole flow and it is built, tested on every scenario and kept running. Google BigQuery **4** triggers Google BigQuery **10** actions Football Charts **10** 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 Football Charts 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 Football Charts - When **New Job Completed** in Google BigQuery then **Get track record** in Football Charts - When **New Row** in Google BigQuery then **Get goal timing** in Football Charts 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 Football Charts ## Triggers and actions 4 triggers ยท 20 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 **Get goal timing** Get the goals-per-15-minute-bin heat map for a league/season, optionally filtered by team. - Action **Get league table** Get league standings for a season: points, W/D/L, goals, form. - Action **Get match** Get one match's full probability block across markets, by match slug. - Action **Get season projection** Get the Monte Carlo season projection for a league: title/top-4/relegation probabilities and points ranges (10k simulations, updated daily). - Action **Get team** Get one team's page for a league/season: match log, goal timing and stats. - Action **Get track record** Get Football Charts' settled public prediction ledger (proof of model accuracy over time). - Action **List league fixtures** List upcoming fixtures for a league with the model's match-outcome probabilities. - Action **List league results** List finished matches for a league/season, optionally filtered by team: FT/HT scores and first-goal minute. - Action **List leagues** List all 93 covered leagues plus the seasons available to query for each. - Action **List teams** List the teams in a league for a season, in table order. ## 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) - [ **Football Charts** Tables, results, model probabilities and Monte Carlo season projections for 93 leagues](https://apiant.ai/connections/football-charts) 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 Football Charts - [ **Vercel to Football Charts** Vercel is a platform for building, deploying, and scaling fast, modern web applications effortlessly.](https://apiant.ai/connect/vercel-to-football-charts) - [ **Bitbucket to Football Charts** Git repository hosting platform with pull request code review and built-in CI/CD pipelines, integrated with...](https://apiant.ai/connect/bitbucket-to-football-charts) - [ **HubSpot to Football Charts** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/hubspot-to-football-charts) - [ **Salesforce to Football Charts** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/salesforce-to-football-charts) - [ **Slack to Football Charts** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/slack-to-football-charts) - [ **Google Sheets to Football Charts** Google Sheets](https://apiant.ai/connect/google-sheets-to-football-charts) Questions ## Google BigQuery and Football Charts, 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 Football Charts when something happens in Google BigQuery? Any of Football Charts's 10 actions, including Get goal timing, Get league table, Get match and Get season projection. Your agent maps the data both ways and tests every scenario before it ships. ### ### Can it also run from Football Charts to Google BigQuery? Football Charts has no triggers in the catalog today, so automations start in Google BigQuery. If you need the other direction, ask: your agent reads Football Charts's API documentation and adds it. ### ### Do I have to build a connector for Google BigQuery or Football Charts? 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 Football Charts 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.