--- title: "Connect PostgreSQL to MostExpensiveWatches - APIANT.ai" description: "When \"New or Updated Row\" fires in PostgreSQL, your agent runs \"Find alternatives by criteria\" in MostExpensiveWatches." canonical: "https://apiant.ai/connect/postgresql-to-mostexpensivewatches" --- # Connect PostgreSQL to MostExpensiveWatches When **New or Updated Row** fires in [PostgreSQL](https://apiant.ai/connections/postgresql), your agent runs **Find alternatives by criteria** in [MostExpensiveWatches](https://apiant.ai/connections/mostexpensivewatches). Describe the whole flow and it is built, tested on every scenario and kept running. PostgreSQL **4** triggers PostgreSQL **6** actions MostExpensiveWatches **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 PostgreSQL and MostExpensiveWatches 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 PostgreSQL can start in MostExpensiveWatches - When **New or Updated Row** in PostgreSQL then **Find alternatives by criteria** in MostExpensiveWatches - When **New Row** in PostgreSQL then **Find listings by criteria** in MostExpensiveWatches 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 PostgreSQL and MostExpensiveWatches ## Triggers and actions 4 triggers · 20 actions - Trigger **New or Updated Row** Triggers when a new row is added or modified. - Trigger **New or Updated Row (Custom Query)** Fires for each new or changed row returned by a SELECT statement you write against the connected PostgreSQL database. - Trigger **New Row** Triggers when you add a new row. - Trigger **New Table** Fires when a new table appears in the connected PostgreSQL database. - Action **Add Row** Adds a new row. - Action **Delete Row** Delete the rows in a table whose chosen column equals a value. - Action **Find Row** Finds a row in a table via a lookup column. - Action **Find Rows via Custom Query** Runs a SELECT statement you write against the connected PostgreSQL database and returns every row it matches. - Action **Find Row via Custom Query** Runs a SELECT statement you write against the connected PostgreSQL database and returns the first row it matches. - Action **Update Row** Updates an existing row. - Action **Find alternatives by criteria** Resolve a reference query and return comparable collector alternatives. - Action **Find listings by criteria** Search live watch marketplace listings by brand/model/reference/price criteria. - Action **Find reference by text** Resolve fuzzy free-text into a canonical watch reference record. - Action **Find reviews by criteria** Search localized collector reviews by brand, model, reference or material. - Action **Get alternatives** Return comparable alternatives for a canonical reference slug. - Action **Get auction** Return auction lot detail by slug. - Action **Get brand** Return a one-call brand dossier (inventory stats, listings, references, reviews, auction lots) by brand slug. - Action **Get market snapshot** Return a compact one-call market snapshot (brands, listings, references, price index highlights). - Action **Get reference** Return reference detail with matching listings and auction comps by reference slug. - Action **Get review** Return structured collector review detail by slug. - Action **List auctions** Return documented auction lots with hammer prices and sale dates. - Action **List brands** Return tracked luxury watch brands with inventory stats. - Action **List references** Return the iconic watch reference database. - Action **List reviews** Return structured collector reviews with scores, checklist and market context. ## Each app on its own - [ **PostgreSQL** Connect directly to a PostgreSQL database and run SQL statements from your automations.](https://apiant.ai/connections/postgresql) - [ **MostExpensiveWatches** MostExpensiveWatches publishes open data on the luxury watch market.](https://apiant.ai/connections/mostexpensivewatches) Reviews ## What our customers say ## More from PostgreSQL - [ **PostgreSQL to GoHighLevel** All-in-one sales and marketing platform agencies white-label and resell to their clients — contacts...](https://apiant.ai/connect/postgresql-to-gohighlevel) - [ **PostgreSQL to Base64 Encoder/Decoder** Easily convert any file type to a Base64 encoded string and vice versa using our free online converter.](https://apiant.ai/connect/postgresql-to-base64-encoder-decoder) - [ **PostgreSQL to Echoes** Quotes From Around The World](https://apiant.ai/connect/postgresql-to-echoes) - [ **PostgreSQL to French Address Search** French Address Search is the French Government's official address geocoding service, built on the Base...](https://apiant.ai/connect/postgresql-to-french-address-search) - [ **PostgreSQL to NiftyImages** NiftyImages is an email marketing tool that lets you personalize and change images so each recipient sees...](https://apiant.ai/connect/postgresql-to-niftyimages) - [ **PostgreSQL to PDF Generator API** # Introduction PDF Generator API allows you easily generate transactional PDF documents and reduce the...](https://apiant.ai/connect/postgresql-to-pdf-generator-api) ## More into MostExpensiveWatches - [ **HubSpot to MostExpensiveWatches** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/hubspot-to-mostexpensivewatches) - [ **Salesforce to MostExpensiveWatches** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/salesforce-to-mostexpensivewatches) - [ **Slack to MostExpensiveWatches** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/slack-to-mostexpensivewatches) - [ **Google Sheets to MostExpensiveWatches** Google Sheets is Google's online spreadsheet app for creating, editing and sharing spreadsheets.](https://apiant.ai/connect/google-sheets-to-mostexpensivewatches) - [ **Gmail to MostExpensiveWatches** Gmail is Google’s email service, featuring spam protection, search functions, and seamless integration with...](https://apiant.ai/connect/gmail-to-mostexpensivewatches) - [ **Google Calendar to MostExpensiveWatches** Google Calendar is a time management tool providing scheduling features, event reminders, and integration...](https://apiant.ai/connect/google-calendar-to-mostexpensivewatches) Questions ## PostgreSQL and MostExpensiveWatches, answered ### ### What can start an automation from PostgreSQL? Any of PostgreSQL's 4 triggers in the catalog, including New or Updated Row, New or Updated Row (Custom Query), New Row and New Table. Describe the moment in plain language and your agent picks the right one. ### ### What can your agent do in MostExpensiveWatches when something happens in PostgreSQL? Any of MostExpensiveWatches's 14 actions, including Find alternatives by criteria, Find listings by criteria, Find reference by text and Find reviews by criteria. Your agent maps the data both ways and tests every scenario before it ships. ### ### Can it also run from MostExpensiveWatches to PostgreSQL? MostExpensiveWatches has no triggers in the catalog today, so automations start in PostgreSQL. If you need the other direction, ask: your agent reads MostExpensiveWatches's API documentation and adds it. ### ### Do I have to build a connector for PostgreSQL or MostExpensiveWatches? 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 PostgreSQL and MostExpensiveWatches 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.