{"service":"CloudMaxi0x","version":"0.1.0","what_it_does":"Two things an agent cannot do for itself: deterministic, verifiable market data, and an honest audit of whether a trading result can be distinguished from luck.","tagline":"verifiable market data and backtest audits, per call","endpoints":{"GET /v1/schema":{"price":"free","description":"exact input format with a worked example"},"POST /v1/validate/demo":{"price":"free","description":"runs the full tier-1 audit on a built-in dataset so you can see the output shape before paying"},"POST /v1/validate/trades":{"price":"$0.05","description":"tier 1: send closed-trade returns in R. Bootstrap CI, statistical power, multiple-testing correction, outlier dependence, regime stability, cost sensitivity, equity-curve permutation."},"GET /v1/data/ohlcv":{"price":"$0.002","description":"deterministic OHLCV for an exact half-open range, with a Merkle manifest. Closed candles only, exchange decimal strings preserved byte for byte, gaps and exchange revisions reported rather than hidden."},"GET /v1/data/proof":{"price":"$0.001","description":"audit path proving a single candle belongs to a range root you already hold, without re-downloading the range."},"GET /v1/data/sources":{"price":"free","description":"available instruments, intervals, and the exact range/alignment semantics"},"POST /v1/validate/filter":{"price":"$0.25","description":"tier 2: send candidate trades with the features known at decision time. Strict rolling-origin walk-forward, permutation null, lookahead audit, data-integrity scan."}},"what_it_can_detect":["a sample far too small to support the claim being made","a result that is the best of many undeclared attempts","an edge resting on a handful of outlier trades","an edge confined to one market regime","an edge that a realistic cost assumption erases","a filter whose out-of-sample lift is inside the range the same pipeline produces on randomly scrambled outcomes","duplicated or time-overlapping trades that invalidate cross-validation","features that separate winners from losers implausibly well","a feature that only looks predictive because it is part of how the return itself was computed (supply gross_returns_r)"],"what_it_cannot_detect":["whether a feature was genuinely computable before its trade - we flag implausible ones, but only an audit of your feature code can prove it","survivorship bias in the instrument universe you chose","whether the historical data itself is accurate","whether an edge that was real will continue to be real"],"payments":{"protocol":"x402","enabled":true,"networks":["eip155:8453","eip155:137","eip155:42161","eip155:43114"],"facilitator":"https://facilitator.payai.network"},"openapi":"/openapi.json"}