# Connect Google Analytics to Random Profiles When **New Daily Report Row** fires in [Google Analytics](https://apiant.ai/connections/google-analytics-2), your agent runs **Get company** in [Random Profiles](https://apiant.ai/connections/random-profiles). Describe the whole flow and it is built, tested on every scenario and kept running. Google Analytics **1** trigger Google Analytics **7** actions Random Profiles **5** 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 Analytics and Random Profiles 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 Analytics can start in Random Profiles - When **New Daily Report Row** in Google Analytics then **Get company** in Random Profiles - When **New Daily Report Row** in Google Analytics then **Get profile** in Random Profiles 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 Analytics and Random Profiles ## Triggers and actions 1 trigger · 12 actions - Trigger **New Daily Report Row** Triggers once for each report row of the previous full day (in the property's time zone), with the chosen dimensions and metrics as fields. Checks for yesterday's rows on every poll and delivers each row once. - Action **Get Metadata** Returns the dimensions and metrics available for reporting on a GA4 property, including custom ones. - Action **Get Property** Returns the details of one GA4 property, such as its name, time zone and currency. - Action **List Accounts** Returns the Google Analytics accounts the connected user can access. - Action **List Audiences** Returns the audiences defined on a GA4 property. - Action **List Properties** Returns the GA4 properties under an account. - Action **Run Realtime Report** Runs a GA4 realtime report covering the last 30 minutes of activity on a property. - Action **Run Report** Runs a GA4 report for the chosen dimensions, metrics and date range and returns one row per dimension combination. - Action **Get company** Retrieve a single fake company by its UUID. - Action **Get profile** Retrieve a single fake user profile by its UUID. - Action **Get profile photo** Retrieve a specific AI-generated profile photo by its UUID. - Action **List companies** Retrieve a list of randomly generated fake companies. - Action **List profiles** Retrieve a list of randomly generated fake user profiles, each with 100+ fields (name, email, address, job, financials, etc). ## Each app on its own - [ **Google Analytics** Google Analytics 4 measures website and app traffic, user behavior and conversions; run reports and read...](https://apiant.ai/connections/google-analytics-2) - [ **Random Profiles** Fake user profiles and companies with 100+ fields each](https://apiant.ai/connections/random-profiles) Reviews ## What our customers say ## More from Google Analytics - [ **Google Analytics to ScrapingAnt** ScrapingAnt is a web scraping tool that handles proxies and headless browsers.](https://apiant.ai/connect/google-analytics-2-to-scrapingant) - [ **Google Analytics to HubSpot** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/google-analytics-2-to-hubspot) - [ **Google Analytics to Salesforce** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/google-analytics-2-to-salesforce) - [ **Google Analytics to Slack** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/google-analytics-2-to-slack) - [ **Google Analytics to Google Sheets** Google Sheets](https://apiant.ai/connect/google-analytics-2-to-google-sheets) - [ **Google Analytics to Google Calendar** Google Calendar is a time management tool providing scheduling features, event reminders, and integration...](https://apiant.ai/connect/google-analytics-2-to-google-calendar) ## More into Random Profiles - [ **Vercel to Random Profiles** Vercel is a platform for building, deploying, and scaling fast, modern web applications effortlessly.](https://apiant.ai/connect/vercel-to-random-profiles) - [ **HubSpot to Random Profiles** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/hubspot-to-random-profiles) - [ **Salesforce to Random Profiles** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/salesforce-to-random-profiles) - [ **Slack to Random Profiles** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/slack-to-random-profiles) - [ **Google Sheets to Random Profiles** Google Sheets](https://apiant.ai/connect/google-sheets-to-random-profiles) - [ **Gmail to Random Profiles** Gmail is Google’s email service, featuring spam protection, search functions, and seamless integration with...](https://apiant.ai/connect/gmail-to-random-profiles) Questions ## Google Analytics and Random Profiles, answered ### ### What can start an automation from Google Analytics? Any of Google Analytics's 1 trigger in the catalog, including New Daily Report Row. Describe the moment in plain language and your agent picks the right one. ### ### What can your agent do in Random Profiles when something happens in Google Analytics? Any of Random Profiles's 5 actions, including Get company, Get profile, Get profile photo and List companies. Your agent maps the data both ways and tests every scenario before it ships. ### ### Can it also run from Random Profiles to Google Analytics? Random Profiles has no triggers in the catalog today, so automations start in Google Analytics. If you need the other direction, ask: your agent reads Random Profiles's API documentation and adds it. ### ### Do I have to build a connector for Google Analytics or Random Profiles? 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 Analytics and Random Profiles 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.