The user's current net worth: total assets, total liabilities and accessible (liquid) assets, with breakdowns by asset group, asset class, liquidity, liability type and liability security. Values are integer minor units (fields ending Minor) with pre-formatted display strings alongside.

Month-end asset totals over time (with a by-group breakdown per month), for charting how wealth has changed. Note: history covers assets only; liabilities are not included. Defaults to the last 12 months.

The user's connected bank accounts with their latest balances. Pseudo accounts represent manually tracked money rather than a live bank connection.

All holdings on the balance sheet: assets (property, pensions, investments, savings, valuables) and liabilities (mortgages, loans, credit cards). ownershipPercent is the user's share; latestValue is the most recent valuation.

One holding in full: its valuation history, and for liabilities the terms (rate, term, secured-on links) and recorded payments.

Search the user's bank transactions with filters and pagination. Amounts are unsigned minor units; type gives direction (DEBIT = money out). Each item carries its effective category (user-confirmed, else auto-suggested) with a resolved label. For totals over many transactions prefer aggregate_transactions.

Group and total transactions server-side: by merchant, category, code and/or one of day/month/year. Returns per-group counts, totalAmountMinor (magnitude of all items) and netAmountMinor (credits minus debits, signed). Minor units; with no period filter the last 3 months are used. The go-to tool for questions like "top categories by spend this quarter" or "monthly spend at Tesco".

How much of the user's transaction history is categorised: counts and minor-unit totals for user-categorised, auto-categorised (suggestion pending) and uncategorised items, split by direction. Useful for judging how complete category-based analysis will be.

The user's most visited merchants by spend (DEBIT items), with visit counts and category. valueMinor is total spend in minor units over the window.

Spending profile for one merchant over a window (1m, 3m, 6m, 1y or all): visits, totals, averages, first/last visit, and an anonymous cohort benchmark of what similar users spend there (null when unavailable). Get merchantId from search_transactions or get_top_merchants.

Per-month income and spending totals broken down by category (minor units, with category labels resolved). Only user-confirmed categories are bucketed; everything else is in uncategorised. Views: mine = the user alone, shared = joint finances, partner = partner's share, all = whole household; household views are null for users without a household.

The user's monthly financial vitals (minor units): monthlySurplus (incomings, outgoings and what's left), steadyOutgoings (with rolling average), addingWealth (amount moved into savings/investments) and emergenciesCovered (months of average outgoings the month-end cash balance would cover). Each section has {personal, household} views; household is null without one.

Find category ids to filter by. The taxonomy has around 180 entries, so pass query to search it rather than pulling the lot: "eating out", "fuel", "childcare", "rent". The search covers each category's label, description and its built-in search terms, so everyday words find the right one. Add type: "DEBIT" for spending or "CREDIT" for income.

Categories are hierarchical (Group > Subgroup > Leaf) and you filter on the leaf ids. A word like "food" spans several branches (eating out, groceries, takeaways), so check the labels and use every id that fits the question. isNetNeutral marks categories left out of spending analysis, such as transfers between the user's own accounts.