com.alphaassay/mcp · v0.6.1 · finance-and-payments
com.alphaassay/mcp is healthy: it completed an MCP handshake in 2512 ms and exposes 21 tools. It scores 57/100.
Fail-closed backtest/signal validation: overfitting, leakage, deflated Sharpe. NOT financial advice.
Endpoint: https://mcp.alphaassay.com/mcp (streamable-http)
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| health | 17 / 25 |
| authEase | 15 / 15 |
| toolQuality | 15 / 15 |
| maintenance | 5 / 15 |
| adoption | 0 / 10 |
| usage | 0 / 10 |
| security | 5 / 10 |
Scoring v0.3, computed 2026-10-14T20:21:39.733Z.
| Checked (UTC) | Status | Latency | Error |
|---|---|---|---|
| 2026-10-14T18:00:50.133Z | Healthy | 2512 | |
| 2026-10-14T18:00:50.130Z | Healthy | 2598 |
assay_demo | Use this when you want to see AlphaAssay's exact verdict envelope -- schema, findings, leakage taxonomy -- on a built-in example before spending a check. A methodology audit; no buy/sell advice. Free demo verdict -- see AlphaAssay's full output shape in one call. Runs the real fail-closed validator |
assay_signal | Use this when you have a backtest result or live track record (a trades log, equity curve or QuantConnect export) and need to know whether the edge is real or just overfitting, survivorship or luck. Validate a trading strategy export: fail-closed statistical verdict. Reality-check for backtest resu |
assay_reproduce | Use this when someone hands you a claimed track record and you want to recompute it yourself from the fills and candles -- an arithmetic audit of the numbers, not buy/sell advice. Independently recompute a claimed track record -- audit the arithmetic, not the story. New audit object: not the signal |
assay_tradelog | Use this when you have a raw fill or trade log and want it scanned for internal contradictions -- look-ahead timestamps, pnl that disagrees with the row's own prices, duplicate or out-of-order fills. Interrogate a raw fill log for internal contradictions -- no candles needed. assay_preflight lints |
assay_forensics | Use this when a signal looks good but you suspect leakage or look-ahead and want to know WHY it fails, not just that it fails -- a diagnostic audit, it does not give buy/sell advice. Leakage forensics: WHY your signal fails, not just that it fails. Upload your own decision timestamps (symbol, decis |
assay_backtest | Use this when you want a code-computed DSL backtest whose deflated- Sharpe verdict still means something after repeated searching -- every run is priced into your family's trial ledger. A research audit, not buy/sell advice. Ledger-aware DSL backtest with honest family-level trial accounting. Defin |
assay_gauntlet | Use this when you want the whole reality-check battery on a strategy in one call -- overfitting, leakage, costs, regimes and a matched-random placebo -- as a demote-only dossier, never buy/sell advice. The full reality-check battery in ONE call -- validator, family deflation, matched-random placebo, |
assay_falsify | Use this when you want your strategy actively attacked -- execution lag, cost stress, regime split, parameter neighbourhood, drift-burst -- to see what kills it first. Demote-only; it does not give buy/sell advice. We do not check your signal -- we actively try to KILL it. An adversary runs a batter |
assay_pbo | Use this when you have the T x N returns of a grid search and want the probability of backtest overfitting (PBO, CSCV) -- did the sweep find an edge or manufacture one? A demote-only audit, not buy/sell advice. Did your parameter sweep FIND an edge -- or manufacture one? PBO over the whole trial mat |
assay_var_es | Use this when you have VaR or Expected-Shortfall forecasts and need to know whether reality breached them more often or deeper than your claimed tail level allows -- a risk-forecast audit, not buy/sell advice. Does your risk model's VaR/ES forecast survive contact with reality? Exceedance backtest o |
assay_conformal | Use this when your model emits prediction intervals or confidence bands and you want to audit whether realised outcomes actually fall inside them at the claimed coverage -- a calibration audit, not advice. Does your model's confidence label survive contact with outcomes? Coverage audit over predicti |
assay_survivors | Use this when you ran a grid or parameter sweep and want to know WHICH variants survive family-wise error control (FWER) rather than surfacing by chance -- an error-budget disclosure, not buy/sell advice. WHICH variants of your sweep survive family-wise error control -- an error-budget disclosure, n |
assay_cpcv | Use this when you have a return history and want the full combinatorial purged cross-validation (CPCV) distribution -- not one walk-forward number -- to see how path-dependent the edge really is. The FULL combinatorial purged CV distribution over your return history -- not one number, the whole pict |
assay_batch | Use this when you optimised over a grid and want to submit the WHOLE sweep honestly -- every variant a ledger trial the family budget prices, so selection bias cannot hide. A research audit, not buy/sell advice. Submit your WHOLE parameter sweep honestly -- one call, every variant a ledger trial. Y |
assay_register | Use this when you want to seal a strategy and its success criteria NOW, before the forward data exists, so that registration cannot be adapted or backfilled against those later bars -- a commitment audit, not buy/sell advice. Pre-register a signal NOW; freeze its terms before the forward evidence ex |
assay_verdict | Use this when a signal was pre-registered with assay_register and the maturity window has passed -- get the post-cutoff verdict computed only from data after registration. A sealed audit, it gives no buy/sell advice. Post-cutoff verdict under the registration's sealed terms. Evaluates a registratio |
assay_graveyard | Use this when you want to check, for free, how often a signal family (e.g. sma_cross) has already been falsified and what usually kills it, before spending a check. Anonymised stats only -- no buy/sell advice. Free lookup: how often has this signal family already died? Anonymised falsification stat |
assay_calibration | Use this when you want to inspect AlphaAssay's current public calibration state for free rather than trust marketing. Calibration v0 is a population/status disclosure, not an outcome score or track record. Self-calibration of the validator's mature pre-registration population: the published contrac |
assay_certificate_verify | Use this when someone hands you a signed AlphaAssay certificate and you want to verify both its Ed25519 signature and current platform trust. A verification tool, not buy/sell advice. Verify a signed AlphaAssay certificate against externally rooted public trust. This hosted verifier evaluates full |
assay_provider_protocol | Use this when you want to judge ANY signal seller -- including us -- with a machine-readable seven-test falsification protocol you can run in an afternoon. It scores methodology, not markets: no buy/sell advice. Test ANY signal provider in an afternoon -- the falsification protocol as machine-readab |
assay_preflight | Use this when you want to lint the SHAPE of a submission (DSL spec, candles or trades) for free before spending a check, so a typo never costs you one. A format check only -- it gives no buy/sell advice. Free payload lint -- fix your submission BEFORE spending a check. Validates the SHAPE of what y |