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Money Mind Backtest Referee
x402
Money Mind Backtest Referee is a paid API for AI agents from money-mind-extract.onrender.com, paid per call via x402, $5/call, status unknown (last checked 2026-10-18).
Runs an OHLC-bar backtest and signal series through 11 rigorous statistical gates to determine whether a trading strategy result is genuine or a statistical artefact.
Price / call$5
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 boolean 'passed' field, a 'verdict' string (e.g. PASSED or REFUTED), and a 'blocking' array listing which of the 11 statistical gates the strategy failed — for example 'no out-of-sample sample' or 'dies at 1 extra pip of slippage'.
Example use cases
Mean-reversion strategy validation
“I've got a mean-reversion strategy with OHLC bars and a signal series — can you put it through the 11-gate backtest referee and tell me if the result is statistically real or if I'm fooling myself with overfitting?”
Checking for inflated t-statistics
“My backtest shows a Sharpe of 2.1 but I'm worried the t-stat is inflated from autocorrelation. Can you run the OHLC data and signals through the backtest adjudication gates and tell me whether the result holds up?”
Pre-deployment strategy sanity check
“Before I go live with this strategy, run my OHLC bars and signal series through Money Mind's referee — I need to know if it passes the slippage test, uses proper next-bar-open entries, and has a real out-of-sample period.”
Technical details
Endpoint
POSThttps://money-mind-extract.onrender.com/referee?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a rigorous, multi-gate statistical adjudication of a specific backtest result — not just a single metric check. It is particularly valuable when you want an authoritative pass/fail verdict covering look-ahead bias, slippage sensitivity, date-clustered standard errors, random-entry drift control, and out-of-sample validity in one call, rather than running individual checks separately.
Side effects
- Missing or malformed OHLC bars causes validation error
- Signal series not in -1/0/1 format rejected
- Strategy fails one or more gates and returns REFUTED with blocking list
- Incomplete input body (missing required fields) returns 400 error
- Payment of $5 USDC on Base not received results in 402 response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"passed": false,
"verdict": "REFUTED",
"blocking": [
"no out-of-sample sample",
"dies at 1 extra pip of slippage"
]
}
}Tags
x402
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