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Money Mind — Correlation Adjudication Gate
x402
Money Mind — Correlation Adjudication Gate is a paid API for AI agents from money-mind-extract.onrender.com, paid per call via x402, $0.31/call, status unknown (last checked 2026-10-18).
Detects spurious correlation between two time series, distinguishing real statistical relationships from autocorrelation artifacts in trading research data.
Price / call$0.31
Success—
StatusUnknown
How this service works
Pay-per-call adjudication for trading research. Eleven gates that killed 35 of our own concepts. Is your backtest real, is your price data real, is your t-stat inflated? USDC on Base, no account needed.
Output
Returns a JSON object with a 'reading' field (statistical analysis narrative of the correlation) and a 'verdict' field (pass/fail or real/spurious judgment), indicating whether the relationship between the two series is genuine or an artifact of autocorrelation.
Example use cases
Equity pair trading validation
“I have daily return series for SPY and QQQ over the past two years — can you check whether their correlation is genuinely statistically real or just two trending series that happen to move together?”
DeFi yield strategy correlation check
“My DeFi strategy returns seem highly correlated to ETH price, but I'm worried it's just autocorrelation in both series — can you run the correlation adjudication gate on these two data sets and give me the verdict?”
Backtest feature signal validation
“Before I trade on this, I need to know if the correlation between my momentum signal and next-day returns is real or inflated — can you send both series to Money Mind's correlation checker and report back the reading?”
Technical details
Endpoint
POSThttps://money-mind-extract.onrender.com/correlation?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a quick, objective, pay-per-call statistical judgment on whether two financial or trading time series share a real correlation versus a spurious one driven by autocorrelation or shared drift — especially when you want no account setup and USDC micropayment billing on Base. Prefer this over rolling your own Durbin-Watson or Granger causality test when you want an opinionated verdict rather than raw statistics.
Side effects
- Malformed body payload causing 400-level error
- Insufficient data points in time series for meaningful correlation test
- Payment failure or insufficient USDC balance returning 402
- Series with identical or near-zero variance causing degenerate result
- Timeout on large or complex series payloads
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"reading": "...",
"verdict": "..."
}
}Tags
x402
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