Insights

Akahu Apply calculates high-level statistics on the data contained in each report. These are exposed as "insights" on the data.
The following insights are currently available through the GET /applications/{applicationId}/reports/{reportId}/insights endpoint:

Code	Unit	Description
`insight:001/money-in`	Currency	Sum of money-in transactions in the dataset.
`insight:002/money-in-count`	Count	Count of money-in transactions in the dataset.
`insight:003/money-in-monthly`	Currency	Monthly average of money-in transactions in the dataset.
`insight:004/estimated-recurring-income-monthly`	Currency	Estimated monthly recurring income.
`insight:005/estimated-recurring-income-stability`		The trend gradient for estimated monthly recurring income. Positive values indicate increasing recurring income, negative values indicate decreasing recurring income.
`insight:006/estimated-recurring-income-variability`	Percentage	The percentage difference between the 30 day period with the highest estimated monthly recurring income and the 30 day period with the lowest estimated recurring income.
`insight:007/government-support`	Currency	Sum of government support transactions in the dataset.
`insight:008/government-support-count`	Count	Count of government support transactions in the dataset.
`insight:009/government-support-monthly`	Currency	Monthly average of government support transactions in the dataset.
`insight:010/money-out`	Currency	Sum of money-out transactions in the dataset.
`insight:011/money-out-count`	Count	Count of money-out transactions in the dataset.
`insight:012/money-out-monthly`	Currency	Monthly average of money-out transactions in the dataset.
`insight:013/fixed-expenses`	Currency	Amount of spending in expense categories that are considered to be fixed or essential.
`insight:014/fixed-expenses-count`	Count	Count of transactions in expense categories that are considered to be fixed or essential.
`insight:015/fixed-expenses-monthly`	Currency	Monthly average of spending in expense categories that are considered to be fixed or essential.
`insight:016/discretionary-expenses`	Currency	Amount of spending in expense categories that are considered to be discretionary.
`insight:017/discretionary-expenses-count`	Count	Count of transactions in expense categories that are considered to be discretionary.
`insight:018/discretionary-expenses-monthly`	Currency	Monthly average of spending in expense categories that are considered to be discretionary.
`insight:019/debt-repayment`	Currency	Sum of debt repayment transactions in the dataset.
`insight:020/debt-repayment-count`	Count	Count of debt repayment transactions in the dataset.
`insight:021/debt-repayment-monthly`	Currency	Monthly average of debt repayment transactions in the dataset.
`insight:022/debt-repayment-monthly-vs-income-percentage`	Percentage	Percentage of monthly recurring income that goes towards debt repayment.
`insight:023/credit-providers`	Count	Number of unique credit providers who received payment in the dataset.
`insight:024/bnpl`	Currency	Sum of buy-now-pay-later transactions in the dataset.
`insight:025/bnpl-count`	Count	Count of buy-now-pay-later transactions in the dataset.
`insight:026/bnpl-monthly`	Currency	Monthly average of buy-now-pay-later transactions in the dataset.
`insight:027/gambling-and-gaming`	Currency	Sum of gambling and gaming transactions in the dataset.
`insight:028/gambling-and-gaming-count`	Count	Count of gambling and gaming transactions in the dataset.
`insight:029/gambling-and-gaming-monthly`	Currency	Monthly average of gambling and gaming transactions in the dataset.
`insight:030/gambling-and-gaming-monthly-vs-income-percentage`	Percentage	Percentage of monthly recurring income that goes towards gambling and gaming.
`insight:031/dishonours`	Currency	Sum of dishonour transactions in the dataset.
`insight:032/dishonours-count`	Count	Count of dishonour transactions in the dataset.
`insight:033/dishonours-monthly`	Currency	Monthly average of dishonour transactions in the dataset.
`insight:034/atm-withdrawals`	Currency	Sum of ATM withdrawals in the dataset.
`insight:035/atm-withdrawals-count`	Count	Count of ATM withdrawals in the dataset.
`insight:036/atm-withdrawals-monthly`	Currency	Monthly average of ATM withdrawals in the dataset.
`insight:037/atm-withdrawals-monthly-vs-income-percentage`	Percentage	Percentage of monthly recurring income that is taken out in ATM withdrawals.
`insight:038/cash-advances`	Currency	Sum of cash advances in the dataset.
`insight:039/atm-withdrawals-and-cash-advances`	Currency	Sum of ATM withdrawals and cash advances in the dataset.
`insight:040/cash-advances-count`	Count	Count of cash advances in the dataset.
`insight:041/cash-advances-monthly`	Currency	Monthly average of cash advances in the dataset.
`insight:042/cash-deposits`	Currency	Sum of cash deposits in the dataset.
`insight:043/cash-deposits-count`	Count	Count of cash deposits in the dataset.
`insight:044/cash-deposits-monthly`	Currency	Monthly average of cash deposits in the dataset.
`insight:045/fees`	Currency	Sum of all fees in the dataset.
`insight:046/fees-count`	Count	Count of all fees in the dataset.
`insight:047/fees-monthly`	Currency	Monthly average of all fees in the dataset.
`insight:048/remittance-and-foreign-exchange`	Currency	Sum of all remittance and foreign exchange transactions in the dataset.
`insight:049/remittance-and-foreign-exchange-count`	Count	Count of all remittance and foreign exchange transactions in the dataset.
`insight:050/remittance-and-foreign-exchange-monthly`	Currency	Monthly average of all remittance and foreign exchange transactions in the dataset.
`insight:051/high-value-money-in`	Count	Count of all credit transactions with an amount over 50k.
`insight:052/high-value-money-out`	Count	Count of all debit transactions with an amount over 50k.
`insight:057/unarranged-overdrafts`	Count	Number of unarranged overdrafts in the dataset.
`insight:058/total-liabilities`	Currency	Sum of all liabilities (overdrawn accounts + credit limits) in the dataset.
`insight:059/total-cash`	Currency	Sum of all cash assets (positive account balances) in the dataset.
`insight:060/debt-cash-ratio`		Sum of total debt balances divided by sum of non-debt balances.
`insight:061/free-cashflow-monthly`	Currency	Estimated monthly average of free cash flow, calculated as recurring income minus monthly fixed expenses.