Multi-horizon macro regime synthesis from 1d through 365d — regime label, confidence, cross-class state, breadth, horizon alignment. Read full risk-on/off posture in one call. Slim mode drops blobs for timelines.

Per-asset metric health grades for one symbol — TS vs. CS grade divergence, per-metric ts_ic, ts_hit_rate. Answers "which metrics actually work on THIS asset", not just the universe average. Companion to /asset/top-predictors which ranks; this endpoint diagnoses.

Historical performance of a specific (horizon, regime_label) cell — n_prints, mean 30d forward return, hit rate, and last 5 instances. Answers "when this regime showed up before, what happened next?" — analytical primitive for regime-conditional strategy backtesting.

Latest-day breakdown of composite signal trigger stats: per-composite triggered_asset_count, breadth %, top-triggering assets. Snapshot of where the 9 IC-weighted composites are actually firing across 200+ assets right now. Complements /signals/composite/breadth (universe-wide) with per-composite drill-down.

BTC price + macro regime history + high-conviction signal density timeseries in a single call (1-1900 days). Bundled dashboard hero for orienting on "where are we in the cycle" — configurable horizon (1d-365d) and layer (core/signals). One call replaces 3 separate history queries.

Per-asset agent grounding bundle — profile (composite score, ranks, returns, volatility, Sharpe), an 8×8 factor cube (t-score percentile and band), regime, and raw order-book liquidity. Single aligned snapshot.

One-shot agent grounding snapshot in 200-400ms — factor breadth, top/bottom composite assets with regime, recent signal aggregation, platform counts, and pipeline status. Call before any market reasoning task.

N-day rolling delta on composite scores (master + per-class) with direction label (building / fading / steady). Detects conviction acceleration or decay — "is this composite gaining or losing energy?" Complements /signals/composite/heatmap (levels) with change-detection.

Tactical / strategic / secular regime decomposition + Supertrend score across a 1-1900 day lookback. Shows regime alignment across timescales — is the market in agreement or diverging? Complements /market-pulse/regime by decomposing multi-horizon consistency into named layers.

Per-asset regime state across all 8 horizons plus divergence flags vs. macro. Enhanced view over /asset-regimes: adds asset-vs-market comparison and per-horizon divergence indicators — gates whether the asset is in-step or out-of-step with the broader market at each timescale.

Latest-day composite snapshot — master composite scores per (asset, horizon) with ranks, per-class composites with trigger counts, macro regime context, and intraday micro-regime state. Multi-horizon factor heatmap input.

Class-level attribution waterfall for one asset and horizon — master score, per-class contributions ordered by impact, per-signal triggers with walk-forward IS/OOS, and per-signal health grades.

Pre-flight threshold simulator — count how many assets would trigger at a proposed cutoff for one anchor day, with current vs proposed threshold and estimated trigger rate. Use before forking parameters.

Daily "where to look" leaderboard — top-N and bottom-N assets by composite score with returns, funding/OI z-scores, signal counts, optional thematic scores, and macro regime gating. Stablecoins filtered. Response carries a _next block with thesis / active-signals / asymmetry / regime-context / trade-ideas so an agent can go from "which asset" to "what does the full CRYPTYX stack say about it" in a single hop.

Re-run the database-side signal evaluator for one day. Dryrun returns predicted trigger counts; live run executes and returns inserted row counts. Pipeline smoke test or recover a missed eval.

Fork a signal into an inactive parameter variant — production firing is untouched. Experimentation primitive: fork, dryrun-backtest, then activate. Returns the new version id and parameters.

Backtest any signal over up to 365 days. Returns trigger stats, per-day rows, and a 4-horizon performance block (sample size, mean/median return, hit rate, bootstrap CI, statistical significance, reliability grade). Walk-forward OOS read inlined.

Walk-forward backtest of a custom 8-class composite weight vector at 7d/14d/30d. Runs custom, IC-weighted default, and equal-weight blends in parallel with full performance breakdowns. Benchmark your blend against the production moat.

Solana Market intelligence (0.03 USDC on Solana mainnet)

Market vs. asset regime cascade divergence for one symbol — score delta, per-horizon breakdown, severity, and one-line interpretation. Novel cross-asset positioning read: "where is this asset out-of-step with the macro?" Companion to /market-pulse/divergences (which scans the universe); this endpoint drills into one asset.