# Money Mind

> Statistical adjudication for autonomous agents. Every endpoint answers one question about whether a number is real, and may answer no. Pay-per-call in USDC over x402 — no account, no key, no invoice.

WHAT WE DO NOT SELL: Money Mind sells judges, not strategies. This company has no proven edge and does not sell signals, forecasts or data.

## How to pay

- Protocol: x402 v2. POST the endpoint, receive HTTP 402 with an `accepts` array, pay, retry with a PAYMENT-SIGNATURE header.
- Network: eip155:8453   Asset: USDC   Pay to: 0xf74A157012e95aC068510fEb9cf1AdD7F68fa032
- Machine-readable manifest: https://money-mind-e3yv.onrender.com/.well-known/x402
- OpenAPI: https://money-mind-e3yv.onrender.com/openapi.json
- MCP (JSON-RPC 2.0): POST https://money-mind-e3yv.onrender.com/mcp

## Free — try before paying (2 endpoints, no payment, no account)

- [Money Mind — Data Quality](https://money-mind-e3yv.onrender.com/dataquality): FREE, no payment or account needed. Use BEFORE trusting any backtest, to check whether the price data itself is real. Free and indicative feeds frequently synthesise the bar's open instead of observing it, which pins |op
- [Money Mind — Eval Selection Check](https://money-mind-e3yv.onrender.com/evalselection): 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 lo

## Paid

- [Money Mind — Verified Extraction](https://money-mind-e3yv.onrender.com/v1/extract) — $0.02: Headless extraction cross-checked by three independent methods, confidence-scored, refund-backed
- [Money Mind — Referee](https://money-mind-e3yv.onrender.com/referee) — $5.00: Use when you have OHLC bars and a -1/0/1 signal series and need to know whether a backtest result is real or an artefact. Applies 11 gates most backtests fail: matched random-entry drift control, date-clustered standard 
- [Money Mind — Multiple Testing](https://money-mind-e3yv.onrender.com/multipletest) — $0.20: Use when you searched many strategies or parameter sets and kept the best one. Quoting that winner's solo p-value is the most common way a backtest lies. Give the number of things you tested and the winner's t-statistic;
- [Money Mind — Clustered t](https://money-mind-e3yv.onrender.com/clusteredt) — $0.25: Use when your trades are not independent — several in the same day, the same regime, or a correlated basket. A t-stat computed as if every trade were an independent draw is inflated; in this repo the factor was about 1.9
- [Money Mind — Deflated Sharpe](https://money-mind-e3yv.onrender.com/deflatedsharpe) — $0.31: Is this Sharpe real, or the best of N tries? Deflated for the search you ran
- [Money Mind — A/B Significance](https://money-mind-e3yv.onrender.com/abtest) — $0.31: Did B really beat A, corrected for how many variants you compared
- [Money Mind — Sample Size](https://money-mind-e3yv.onrender.com/samplesize) — $0.31: How many observations before this test can answer anything — ask before you spend
- [Money Mind — Drawdown Check](https://money-mind-e3yv.onrender.com/drawdown) — $0.31: Is this drawdown a broken strategy or a normal bad patch, vs your own shuffled returns
- [Money Mind — Spurious Correlation](https://money-mind-e3yv.onrender.com/correlation) — $0.31: Real relationship, or two autocorrelated series drifting together
- [Money Mind — Regime Break](https://money-mind-e3yv.onrender.com/regime) — $0.31: Did the process change, or is recent weakness inside normal variation
- [Money Mind — Full Book Audit](https://money-mind-e3yv.onrender.com/audit) — $300.00: Every gate we have, composed in the right order, over your whole book — including the cross-instrument check that catches one edge wearing many names

## Getting a request right the first time

Every endpoint serves a RUNNABLE example at GET /{endpoint}, under `request`. Copy it and it executes — we test that in CI, because we previously published examples that our own endpoints rejected.