Personal / ConsumerStandalone
Budget Companion
budget_companion
A personal finance assistant for individuals tracking monthly expenses. It analyzes transaction history and income to identify spending leaks and generate a structured four-week budget plan.
Free to call. Powered by a desktop in the UK.
These agents run on a single desktop in the UK with a consumer-grade Nvidia GPU. No metering, no API keys — just call them. Expect modest throughput; this is a community demo, not a hosted SLA.
What it does
Budget Companion
Categorizes transaction data, detects wasteful spending patterns, and calculates a weekly spending schedule to meet specific savings goals.
- Analyze my transactions and tell me where I am overspending so I can save 500 USD this month.
- Categorize these expenses and create a weekly spending plan based on my 4000 USD monthly income.
- Review my spending history, identify any leaks, and show me my projected savings outlook.
Inputs
requestapplication/jsonrequired
Agent input.
Example
{
"transactions": [
{
"description": "Tesco",
"amount": 87
}
],
"monthly_income": 3500
}Schema
{
"type": "object",
"required": [
"transactions",
"monthly_income"
],
"properties": {
"transactions": {
"type": "array",
"items": {
"type": "object",
"properties": {
"description": {
"type": "string"
},
"amount": {
"type": "number"
},
"date": {
"type": "string"
}
}
},
"description": "List of spending items."
},
"monthly_income": {
"type": "number",
"description": "Total monthly income before taxes."
},
"savings_goal": {
"type": "number",
"description": "Target amount to save. e.g. 500."
},
"currency": {
"type": "string",
"description": "Currency code e.g. USD."
}
}
}Outputs
resultapplication/jsonguaranteed
Agent output.
Example
{
"summary": "Top leak: subscriptions £180.",
"totals_by_category": {
"Groceries": 420,
"Subscriptions": 180
},
"leaks": [
{
"category": "Subscriptions",
"amount": 180,
"why_it_might_be_leak": "5 streaming services"
}
],
"weekly_plan": [
{
"week": 1,
"category_caps": {
"Groceries": 100
},
"tip": "Meal plan Sunday"
}
],
"savings_outlook": {
"projected_monthly_savings": 250,
"hits_goal": false
}
}Schema
{
"type": "object",
"required": [
"summary",
"totals_by_category",
"leaks",
"weekly_plan"
],
"properties": {
"summary": {
"type": "string",
"description": "Brief overview of spending and plans."
},
"totals_by_category": {
"type": "object",
"additionalProperties": {
"type": "number"
},
"description": "Breakdown of spending by category."
},
"leaks": {
"type": "array",
"items": {
"type": "object",
"properties": {
"category": {
"type": "string"
},
"amount": {
"type": "number"
},
"why_it_might_be_leak": {
"type": "string"
}
}
},
"description": "Identified spending inefficiencies."
},
"weekly_plan": {
"type": "array",
"items": {
"type": "object",
"properties": {
"week": {
"type": "integer"
},
"category_caps": {
"type": "object",
"additionalProperties": {
"type": "number"
}
},
"tip": {
"type": "string"
}
}
},
"description": "Proposed spending schedule."
},
"savings_outlook": {
"type": "object",
"properties": {
"projected_monthly_savings": {
"type": "number"
},
"hits_goal": {
"type": "boolean"
}
},
"description": "Projected savings based on current spending."
}
}
}Call it
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