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agent402.tools Retirement Planning Workflow
x402
agent402.tools Retirement Planning Workflow is a paid API for AI agents from agent402.tools, paid per call via x402, $0.05/call, status unknown (last checked 2026-09-14).
Projects retirement accumulation and drawdown phases to determine whether a given retirement plan is financially viable
Price / call$0.05
Success—
StatusUnknown
How this service works
Bundled execution of the Retirement planning workflow - Will my retirement plan actually work? Project the accumulation phase forward with compound interest, compute the target nest egg from your expected spending, then model the drawdown phase us...
Output
A bundled analysis covering: projected nest egg at retirement using compound interest on contributions, the target nest egg required to sustain expected spending (likely using a 4% rule or similar), and a drawdown model showing how long the savings will last — effectively a pass/fail verdict on the retirement plan with supporting projections.
Example use cases
Example prompt
“I'm 38 years old with $120,000 saved, contributing $18,000 a year, and I want to retire at 65 — will my plan actually work if I expect to spend $80,000 a year in retirement? Use a 7% expected return.”
Technical details
Endpoint
POSThttps://agent402.tools/api/skill/retirement-planningWhen to prefer
Use this endpoint when a user wants a complete, multi-phase retirement analysis in a single call — combining accumulation projection, nest egg target computation, and drawdown modeling — rather than running separate financial calculations. Ideal for quick feasibility checks on a retirement plan without needing a dedicated financial planning platform.
Side effects
- Missing required scenario description returns an error or empty projection
- Invalid or out-of-range expectedReturn value (e.g. negative or >1) may cause calculation errors
- Ambiguous scenario text may result in incorrect parameter parsing
- Payment failure (x402) results in no response
- Extreme edge cases (e.g. retiring before current age) may produce nonsensical output
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| scenario | string | Your retirement scenario (current age, balance, contributions, retirement age, etc.) |
| expectedReturn | string | Long-run expected annual return as a decimal (default 0.07 = 7% - historical S&P after inflation runs ~6-7%; use 5% for a conservative bond-heavy mix) |
Output
Schema · Response
{
"type": "json",
"example": {
"args": {
"scenario": "35 years old with $100,000 saved, contributing $1,500/month, retiring at 65",
"expectedReturn": "0.07"
},
"pack": "retirement-planning",
"steps": [
{
"ok": true,
"slug": "compound-interest",
"result": {}
},
{
"ok": true,
"slug": "npv",
"result": {}
},
{
"ok": true,
"slug": "irr",
"result": {}
},
{
"ok": true,
"slug": "loan-payment",
"result": {}
},
{
"ok": true,
"slug": "amortization",
"result": {}
}
],
"summary": "5/5 steps succeeded"
}
}Tags
x402
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