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Money Mind Judge Lite — Backtest Validity Evaluator
x402
Money Mind Judge Lite — Backtest Validity Evaluator is a paid API for AI agents from money-mind-extract.onrender.com, paid per call via x402, $0.05/call, status unknown (last checked 2026-10-16).
Runs three statistical validity gates (selection correction, deflated Sharpe, date-clustered t-test) on a return series to verdict whether it is a genuine edge or a lucky artifact of multiple testing.
Price / call$0.05
Success—
StatusUnknown
How this service works
Is this backtest, strategy or DeFi result real, or the luckiest of N tries — selection, Sharpe and clustering in one verdict, built for trading agents. Use when your agent has a backtest, a research result, or any return series that looks good — and needs to know whether it is real or the luckiest of N tries before spending money on it. One call runs the three cheapest high-signal gates: selection correction (family-wise p across your declared n_tested), deflated Sharpe, and date-clustered t. Verdict REAL means every gate passed; PROVISIONAL means the selection gates passed but no dates were given, so clustering is unchecked — never REAL; NO names the gate that killed it. Bad input is refused before payment, never charged. Money Mind sells judges, not strategies. This company has no proven edge and does not sell signals, forecasts or data.
Output
A verdict of REAL (all three gates passed), PROVISIONAL (selection gates passed but no dates provided so clustering unchecked), or NO (with the name of the specific gate that failed). Accompanied by gate-level statistics: family-wise corrected p-value, deflated Sharpe ratio, and date-clustered t-statistic where applicable.
Example use cases
Overfitting check before live deployment
“Before I go live with this momentum strategy, can you run the three-gate validity check on it? I tested 30 different parameter combinations before landing on this one, and it has a Sharpe of 1.8. Here are the daily returns from 2015-01-01 to 2022-12-31 — I want to know if it passes selection correction, deflated Sharpe, and date clustering.”
Research result sanity check for a quant fund
“We have a factor backtest that our research team is excited about — they tried about 20 factor combinations and this is the winner with Sharpe 2.4. Run the full three-gate statistical judge on this return series so we know whether to allocate capital or throw it out.”
DeFi yield strategy validation
“This DeFi liquidity strategy looks incredible on paper, but I only had 8 months of daily returns and I tried 15 variations before picking this one. Can you judge whether the result is real or just noise — run the selection correction across those 15 tries and tell me which gate it fails, if any?”
Technical details
Endpoint
POSThttps://money-mind-extract.onrender.com/judge-lite?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have a single candidate backtest or return series that needs rapid multi-gate statistical validation — especially when the number of strategies tested (n_tested) is known and you want selection correction, deflated Sharpe, and date-clustering in one paid call at $0.05. Prefer this over the $0.01 selection-only sibling when you want the full three-gate verdict. Use the bulk triage sibling instead when screening hundreds of backtests simultaneously.
Side effects
- Invalid or missing return series — request rejected before charge
- n_tested not declared — selection correction cannot run
- Insufficient data points for meaningful statistical tests — refused with explanation
- Malformed JSON body — 400 error returned before payment
- Network timeout on Render cold-start — retry recommended
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"t": 4.3,
"dsr": 0.99,
"verdict": "REAL",
"killed_by": [],
"t_clustered": 4.4,
"family_wise_p": 0.0002
}
}Tags
x402
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