Your Financial Data Should Work for You, Not Just Your App
When was the last time you wanted to do something specific with your financial data? Maybe you wanted to compare your grocery spending across the last six months. Maybe you wanted an alert when a budget category hit 90%. Maybe you wanted to pull your transaction history into a spreadsheet or a tool you already use. Maybe you wanted to analyze all of your debt in one place and figure out the fastest way to start paying it off.
In most finance apps, the answer to all of these is the same: you cannot. You see what the app shows you. You export what the app lets you export. And if the app does not have the feature you want, you wait for the company to build it, or you switch to something else.
That was one of the core problems I wanted to solve with Trupocket.
What "API-First" Means in Plain Terms
When I say Trupocket is API-first, I mean that the API was built before the web app. The web app at trupocket.app is a client that talks to the same API that anyone can use. Every feature you see in the app, every action you can take, and every piece of data you can view goes through that API.
Your financial data is not locked inside one interface. You can read it, write it, and query it from any tool, script, or application through a standard REST API. There are 60+ endpoints covering transactions, accounts, budgets, categories, payees, hashtags, scheduled transactions, and reports. The full documentation is public.
Portable by Default
You might be reading this and thinking that an API does not matter to you because you are not a developer. That is a fair reaction. But the architecture benefits you even if you never make a single API call.
Your data is portable. You can pull it into another tool, export it, or move it at any time. If you ever decide Trupocket is not the right fit, your financial history comes with you.
The app itself is more reliable because of this architecture. Every feature is built on top of tested, versioned endpoints with a stable foundation. There are no hidden shortcuts or undocumented behaviors behind the interface.
And as new integrations come online, whether that is a mobile app, an AI assistant, or something I have not thought of yet, they plug into what already exists. Nothing needs to be migrated or re-created.
Your Workflow, Your Automation
If you are comfortable with spreadsheets, scripts, or automation tools, the API opens up a different level of control over your finances.
A script that pulls your monthly budget report and emails you a summary every morning. A Google Sheet that updates automatically from your live data. Custom alerts when specific categories approach their budget limits. Transaction logging from external systems, like a business expense tracker or a shared household ledger, straight into your account through the API.
I built one of these myself. I take a photo of a receipt and save it to an Evernote note with a specific tag. A personal integration picks up that note, analyzes the receipt image with AI, and creates a transaction in Trupocket with the details pulled from the receipt. No manual data entry required.
The Developer plan supports 10,000 API calls per day, which is enough for serious automation workflows. Even the free plan includes 20 calls per day, enough for a daily summary or a quick budget check.
Give Your AI Financial Context
For an AI assistant to help you with your money, it needs your financial data in a format it can work with. That is exactly what a REST API provides.
Here is a practical example: you ask an AI assistant "how much did I spend on dining out this month?" The assistant calls the budget-spending report endpoint, finds the dining category, reads the current spend amount, and gives you an answer pulled from your actual data. No manual lookup, no screenshot, no copy-pasting numbers.
That pattern extends to spending summaries from your monthly cashflow data, budget monitoring that flags unusual patterns before you notice them, and financial planning that factors in your scheduled transactions and forecasted balances.
An MCP Server for AI Tools is on the Trupocket roadmap. MCP (Model Context Protocol) is a standard that lets AI assistants like Claude, ChatGPT, and Gemini interact with external data sources directly. Once that ships, connecting your Trupocket data to an AI assistant will be a matter of adding a server configuration. No custom code required.
The data layer already exists. AI integration plugs into endpoints that are already tested and in production.
A Platform, Not Just an App
Most consumer personal finance platforms do not offer public APIs. Trupocket takes the opposite approach.
The API provides full read and write access. The Getting Started guide walks through authentication and basic usage, and the full OpenAPI spec is available for code generation in any language.
A freelancer could build a script that logs business expenses from invoicing software directly into their Trupocket account. Households could set up a shared dashboard combining spending across multiple accounts. Come tax season, pulling categorized annual spending data beats manually sorting through statements. The API is the same one the web app uses, so anything the app can do, your code can do too.
The Bigger Picture
Building API-first means Trupocket is a platform. The web app is one way to interact with your data. A future mobile app would be another. Developer tools, spreadsheet integrations, AI assistants, and automation workflows are all additional ways into your financial data.
Your data sits at the center, and you choose how to reach it. The interface you prefer today might not be the one you prefer next year, and that is fine.
I built Trupocket this way because I believe your financial data belongs to you. You should be able to pull it, query it, export it, and build on it from whatever tool makes sense for how you manage your money. The web app is the starting point. The API is what makes everything else possible.
If that approach resonates with you, create a free account and start tracking your finances. And if you are the type who wants to explore the API, the documentation is ready.