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Investing Math: DCA vs Lump Sum Comparator
x402
Investing Math: DCA vs Lump Sum Comparator is a paid API for AI agents from invest-math.x402tookit.com, paid per call via x402, $0.02/call, status unknown (last checked 2026-10-30).
Compares dollar-cost averaging (equal periodic buys) against a single lump-sum investment on the first date, given a series of prices, returning returns, units acquired, and a verdict on which strategy won.
Price / call$0.02
Success—
StatusUnknown
How this service works
Compare equal periodic buys (dollar-cost averaging) with one lump sum on the first date, over a list of prices.
Output
Returns a structured comparison including: DCA stats (units acquired, average cost, final value, return %), lump sum stats (cost, units, final value, return %), total amount invested, final asset price, price change %, a winner field indicating which strategy outperformed, a human-readable summary and verdict, supporting reasons, and optional disclaimers or degraded-mode flags.
Example use cases
Evaluating DCA on a volatile stock
“I bought $200 worth of a stock every month for 10 months. The prices were 50,48,55,45,60,58,65,70,62,75. Would I have done better just buying everything at the start instead of spreading it out?”
Crypto periodic investment analysis
“Compare investing $1000 per week in Bitcoin versus putting in the whole $10,000 at the beginning, using these weekly prices: 30000,28000,32000,25000,35000,38000,34000,40000,42000,45000.”
Backtesting index fund DCA strategy
“I'm curious whether DCA or lump sum would have performed better with $500 per period on these S&P 500 prices: 4000,4100,3950,4200,4300,4250,4400,4500,4450,4600. Which strategy came out ahead and by how much?”
Technical details
Endpoint
GEThttps://invest-math.x402tookit.com/dca-vs-lump?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need a fast, deterministic head-to-head comparison of periodic DCA investing versus a single lump-sum purchase over a known price series. It is ideal for backtesting investment timing strategies, validating personal finance decisions, or explaining to a user which approach would have yielded better returns given historical prices. Prefer this over building your own simulation when you want a ready-made verdict, reasons, and summary narrative alongside the raw numbers.
Side effects
- Fewer than 2 or more than 600 prices provided — validation error
- Non-numeric values in the prices string — parse error
- Missing required perBuy or prices parameters — 400 bad request
- Payment failure or missing x402 payment header — 402 payment required
- Extremely large or zero perBuy values may produce edge-case results
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Tags
x402
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