ManyLives Track Records – Luck Test is a paid API for AI agents from api.manylives.me, paid per call via x402, $0.03/call, status unknown (last checked 2026-10-10).
Returns a statistical luck analysis for a given trading strategy, including hit rate, p-value, and Holm-adjusted p-value to determine whether the strategy's performance is statistically significant or likely due to chance.
Pay-per-call tools for people building AI agents: live web search and page contents, point-in-time crypto market data and news for backtests (no lookahead), verifiable track records of 1,000 crypto strategies locked on the Base network, company profiles, quick AI and batch prices. Ask us to turn a public website into a JSON endpoint. Pay per call, no account, free trial.
A JSON object containing the strategy ID, number of trades evaluated, the time window analyzed, a plain-English verdict on whether the strategy looks statistically sound, a hit rate (fraction of winning trades), a raw one-sided p-value, and a Holm-adjusted p-value that corrects for the fact that many strategies were tested — higher Holm-adjusted values indicate likely luck.
GEThttps://api.manylives.me/paid/trackrecord/luck?utm_source=zero.xyzUse this endpoint when you need to statistically validate whether a specific trading strategy's backtest performance is genuine or a result of overfitting/multiple comparison bias. It is specifically valuable when evaluating strategies from the ManyLives catalog (identified by IDs like CRY-1h-042), where the Holm correction across 2,000+ strategies is pre-computed. Prefer this over raw backtest data endpoints when your primary concern is whether a strategy's edge is real after correcting for data mining.
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
{
"type": "json",
"example": {
"id": "CRY-1h-042",
"calls": 2400,
"window": "all time",
"verdict": "looks good on its own, but could be luck once you allow for how many strategies were tested",
"hit_rate": 0.523,
"holm_adjusted_p": 0.9,
"p_value_one_sided": 0.012
}
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