Is this backtest, strategy or DeFi result real, or the luckiest of N tries — sel
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.
Paid test badge: not yet. The checks above are free: we call the tool without paying and read the payment request it sends back. The Verified badge needs paid calls whose answers match the promised output, and nobody can buy a badge.
Endpoint
POST https://money-mind-extract.onrender.com/judge-lite
| Category | Company and compliance |
|---|---|
| Provider host | money-mind-extract.onrender.com |
| Networks | eip155:8453 |
| Payment schemes | exact |
| Self-reported calls, 30 days | 0 from 0 payers (the provider's figure, not ours) |
Our checks, last 30 days
| Day | Result | HTTP | Asked | Time |
|---|---|---|---|---|
| 2026-10-02 | valid payment request | 402 | $0.05 | 168 ms |
Example input (from the provider)
{
"body": {
"dates": [
"2024-06-03",
"2024-06-03",
"2024-06-04",
"2024-06-04",
"2024-06-05",
"2024-06-05"
],
"n_tested": 20,
"returns": [
0.8,
-0.3,
1.2,
0.5,
-0.6,
0.9
]
},
"bodyType": "json",
"method": "POST",
"type": "http"
}
Promised output schema (from the provider)
{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"input": {
"additionalProperties": false,
"properties": {
"body": {
"description": "Use when your agent has a backtest, a research result, or any return series that looks good \u2014 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_te",
"type": "object"
},
"bodyType": {
"enum": [
"json"
],
"type": "string"
},
"method": {
"enum": [
"POST"
],
"type": "string"
},
"type": {
"const": "http",
"type": "string"
}
},
"required": [
"type",
"method",
"body"
],
"type": "object"
},
"output": {
"properties": {
"example": {
"type": "object"
},
"type": {
"type": "string"
}
},
"type": "object"
}
},
"required": [
"input"
],
"type": "object"
}