{
 "service": "Money Mind \u2014 Eval Selection Check",
 "what": "You tried N prompts/models/configs and kept the best; how much of that is selection",
 "when_to_use": "FREE, no payment or account. Use when you picked the best of several prompts, models, configs or hyperparameters from an eval. Keeping the top scorer out of N is SELECTION, and the winner's score is inflated by having looked N times \u2014 every eval harness and prompt optimiser does this and reports the winning score as though one experiment were run. Give the score each variant achieved; returns how much of the winner's margin is explained by the search itself, the margin pure noise would have handed you, and whether the excess is real. Supply n_per_variant to also check whether your variants can be ranked apart at all.",
 "honest_note": "Money Mind sells judges, not strategies. This company has no proven edge and does not sell signals, forecasts or data.",
 "method": "POST",
 "endpoint": "/evalselection",
 "price_usdc": "0 \u2014 FREE",
 "free": true,
 "network": "base",
 "network_source": "X402_NETWORK",
 "testnet": false,
 "build": "7864f5c",
 "pay_to": "0xf74A157012e95aC068510fEb9cf1AdD7F68fa032",
 "pay_to_source": "X402_PAY_TO",
 "accepting_payments": false,
 "not_ready_because": [
  "X402_PRICE_USDC must be > 0"
 ],
 "facilitator_check": "facilitator authenticated, and it PARSED our request rather than rejecting its shape",
 "payment": "x402 (HTTP 402 + USDC on Base). Call without payment to receive the payment requirements.",
 "request": {
  "scores": [
   0.71,
   0.68,
   0.74,
   0.87,
   0.7
  ],
  "n_per_variant": 50
 },
 "request_wire_example": {
  "scores": [
   0.71,
   0.68,
   0.74,
   0.87,
   0.7
  ],
  "n_per_variant": 50
 },
 "min_bars": null,
 "response_example": {
  "verdict": "SELECTION \u2014 the winner is what looking N times buys you",
  "winner_margin_in_sd": 2.87,
  "margin_noise_alone_would_give": 2.61
 },
 "limits": {
  "min_variants": 3
 },
 "other_products": {
  "/referee": "11-gate adjudication of a trading signal series ($5.00)",
  "/dataquality": "Is your OHLC real, or an indicative feed pretending to be ($0)",
  "/multipletest": "You tested N strategies and kept the best; is it noise ($0.20)",
  "/clusteredt": "Your t-stat assumes independence; your trades cluster ($0.25)",
  "/deflatedsharpe": "Is this Sharpe real, or the best of N tries? Deflated for the search you ran ($0.31)",
  "/abtest": "Did B really beat A, corrected for how many variants you compared ($0.31)",
  "/samplesize": "How many observations before this test can answer anything \u2014 ask before you spend ($0.31)",
  "/drawdown": "Is this drawdown a broken strategy or a normal bad patch, vs your own shuffled returns ($0.31)",
  "/correlation": "Real relationship, or two autocorrelated series drifting together ($0.31)",
  "/regime": "Did the process change, or is recent weakness inside normal variation ($0.31)",
  "/audit": "Every gate we have, composed in the right order, over your whole book \u2014 including the cross-instrument check that catches one edge wearing many names ($300.00)"
 },
 "privacy": "Submitted data is held in memory for the request only. Nothing is stored."
}