plutus

Analyze monthly cashflow and show either savings rate or runway automatically. Use when the user asks about cashflow, monthly surplus/deficit, burn rate, savings rate, how long to reach a goal amount, how long their money will last, or other relevant questions.

Scan inbox for purchase receipts, parse expense details, and log them after user review. Use when the user wants to import expenses from email, check their inbox for purchases or receipts, or says things like "check my email for expenses", "find receipts from my email", "scan my inbox for expenses and receipts", "what did I buy recently", "import my expenses from email", "log email purchases".

Log, edit, delete, and analyze individual expenses. Use when the user wants to add an expense, log a purchase, look at their expenses, view spending summaries, check category breakdowns, review spending trends, ask what they spent, ask how much they spent, ask about a specific category or merchant, or says things like "add an expense", "log a purchase", "what did I spend", "how much did I spend on X", "show my expenses", "show my spending", "what have I bought", "spending this month", "top categories", "where did my money go", "did I spend on X", "delete an expense", "edit an expense", "update an expense". Defaults to the current month (MTD).

Track recurring liabilities such as subscriptions, insurance, and loans. Use when the user wants to add, update, remove, summarize, or review upcoming recurring payments

Calculate and explain current net worth, account valuations, portfolio allocation and portfolio performance using local data files and live market data. Use when you need to answer questions like "what's my net worth", "show my asset allocations", "how did my holdings perform", "summarize my accounts" or break assets down by liquidity tier, currency exposure, tax status, or asset class.

Collect the user's initial financial data and create the base JSON files in the data directory. Use on first interaction or when local finance files do not exist yet. Focus on baseline data collection and flexible core schemas