GG402 · Retirement Planning Simulator
Run retirement financial projections combining income streams, expense patterns, investment returns, and goal targets to generate savings forecasts.
What it does
Run retirement financial projections combining income streams, expense patterns, investment returns, and goal targets to generate savings forecasts.
- Calculate retirement savings projections for clients
- Model scenario variations with different investment assumptions
- Generate actionable financial advice from structured inputs
Ideal buyer
Financial planning agents and robo-advisors automating retirement projections with per-simulation pricing.
Run this through your governed agent wallet.
- 01Bootstrap AXON once with
npx @axon402/init. - 02Use the AXON runtime MCP tools to
search_x402_servicesorinspect_x402_offerfor this service. - 03Quote, test-buy, then run the governed paid fetch through AXON.
Send this
Prompt for your agent
A natural-language instruction for your LLM agent — with this endpoint exposed as a tool — to call this resource. Not sent to the endpoint; the endpoint consumes the JSON body below.
Pasting this prompt into a raw ChatGPT or unconfigured agent will notexecute the paid endpoint flow. Run it through an agent with the AXON runtime / MCP tools exposed (see “Use with AXON” above) so the 402 challenge, quote, and governed fetch are handled for you.
“Simulate retirement for someone aged 35 with $80k income, $50k expenses, aiming to retire at 65 with $2M goal”
Endpoint request body
The JSON payload your agent sends to the endpoint.
{
"income": 80000,
"expenses": 50000,
"current_age": 35,
"goal_amount": 2000000,
"retirement_age": 65,
"investment_return_assumption": 0.07
}Advanced HTTP details
For integrators who need the raw protocol surface. Most agents should use AXON above instead of calling these directly.
curl fallback
curl https://gg402.vercel.app/retirement_planning_simulator \ -H "Content-Type: application/json" \ -H "X-PAYMENT: [signed_payment_envelope]" \ -d '{"income":80000,"expenses":50000,"current_age":35,"goal_amount":2000000,"retirement_age":65,"investment_return_assumption":0.07}'
Payment & settlement details
Raw on-chain settlement parameters. AXON above handles these automatically through quote / test-buy / governed fetch.
Price & network
Trust & risk
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Category proxy — we don't track live co-purchase signals yet.