CRYPTYX | institutional-grade crypto intelligence: 150+ signals, 440+ metrics, 200+ assets. | Single-metric z-score backtest over 5+ yr fact history. POST {metric_id, asset, operator (gt/lt/gte/lte/abs_gt), threshold, cooldown_days?}. Returns ok, echoed params, full timeseries [{asof_day, close_px, z, pctl, triggered}], triggers [{asof_day, z, pctl, fwd_1d/7d/14d/30d/60d/90d/180d/365d, max_dd_*}] (1d-30d from analytics.forward_returns, 60d-365d on-the-fly), and summary {n_observations, n_triggers, n_triggers_raw, n_suppressed, trigger_rate, horizons.{h}.{n, mean_return, median_return, max_return, min_return, std_return, hit_rate, sharpe, max_dd_mean, max_dd_p95, max_dd_worst}} over 8 horizons. Cooldown suppresses repeat triggers. Pre-composite single-factor edge testing across 440+ metric catalog, ~200 assets.

CRYPTYX | institutional-grade crypto intelligence: 150+ signals, 440+ metrics, 200+ assets. | Per-day composite conviction trajectory for one asset across a 7-90 day window. Reads metrics.composite for the score timeline and LEFT JOINs analytics.asset_thesis_daily for optional one-liner overlay (direction + one_liner + generated_at). Returns ok, symbol, days, points[] with {d, composite, direction, one_liner, generated_at}, thesis_count, and a note flagging when the thesis populate job has not yet written rows. Score timeline is always complete; narrative overlay is honest about gaps. Use to track conviction evolution before a major move.

CRYPTYX | institutional-grade crypto intelligence: 150+ signals, 440+ metrics, 200+ assets. | Per-asset macro regime context: returns current regime id, confidence, days_in_regime streak from signals.asset_regime_day, plus conditional forward-return stats (n, mean_return, median_return, hit_rate) at 1d/7d/14d/30d horizons from analytics.forward_returns, and top-12 historical regime transition pairs. Computed live across ~200 assets — grounds sizing and strategy selection in what historically tends to happen next when this asset sits in this regime.

CRYPTYX | institutional-grade crypto intelligence: 150+ signals, 440+ metrics, 200+ assets. | Cross-class conviction panels per asset — one representative metric per microstructure factor class: FUT funding stress (FUT_FUNDING_MA_7D), OPT 1M 25-delta risk-reversal skew (OPT_SKEW_RR25D_1M, BTC/ETH only), OB 100bp liquidity imbalance (OB_IMB_100BP), and FLOW 7d taker buy/sell ratio (FLOW_TAKER_BS_RATIO_MA_7D). Each panel returns current_z, current_pctl, 30-day sparkline, last_asof_day, and a one-line narrative — pulled from metrics.fact_stats over the 365d window. No raw values exposed; null panels are dropped. Use for cross-class positioning reads, not for distributional tail statistics.

CRYPTYX | institutional-grade crypto intelligence: 150+ signals, 440+ metrics, 200+ assets. | Per-asset predictor explorer for one symbol at 7d/14d/30d horizon. Returns up to 5 top atomic signals AND 5 top metrics ranked by |IC| times hit_rate, gated to A/B health grades, anti-predictive filtered, family-deduped, max 2 per factor class. Signals carry ic, hit_rate, ir, grade, n_triggered_180d, last_triggered, plus `walk_forward` block at the requested horizon (is_ic, oos_ic, overfit_ratio, ic_delta, reliability_grade). Metrics carry ts_grade vs cs_grade divergence, polarity, per-asset time-series ic, current_z, current_pctl (walk-forward currently signal-only — metrics blocks omit it). Use to pick the strongest, walk-forward-validated inputs for one asset before building a strategy.

CRYPTYX | institutional-grade crypto intelligence: 150+ signals, 440+ metrics, 200+ assets. | Claude Haiku-narrated per-asset conviction call. Returns `thesis` (3-5 sentence prose), macro `regime` (expansion/consolidation/deleveraging) + `regime_confidence` at the top level, plus an `evidence` pack: `composite` (score, rank, rank_pct, score_yesterday, score_delta) vs ~200 assets, `returns` (ret_1d/7d/30d, vol_rv_30d), `factors` (t_score_pct + t_band per CORR/EFF/FLOW/FUT/OB/OPT/TR/VOL class at chosen horizon), `active_signals` (top 8 health A/B/C, anti-predictive filtered, with z/confidence/ic/hit_rate/grade), `active_signals_total`/`_high_grade` counts, and `top_ts_metrics` (5 strongest per-asset predictors w/ ts vs cs grade_divergence). Plus `ok`, `symbol`, `asof_day`, `horizon`, `source`, `model`, `generated_at`, `cache_hit`. 4h cache.

CRYPTYX | institutional-grade crypto intelligence: 150+ signals, 440+ metrics, 200+ assets. | Per-asset historical signal edge. For one symbol at 7d/14d/30d, returns up to 6 health-grade A/B atomic signals that actually worked on THIS asset, grouped into reversal/continuation/breakout lanes (max 2 per lane). Each setup: signal_id, name, class, grade, tags, n_triggers, hit_rate, mean_fwd_return, median_fwd_return, last_triggered, ic_global, hit_rate_global, score, plus `walk_forward` block per setup at the requested horizon (is_ic, oos_ic, overfit_ratio, ic_delta, reliability_grade) from analytics.signal_eval_wf_day — the per-asset trigger evidence and universe-wide walk-forward robustness side by side. Anti-predictive signals filtered (Phase N11 gate); MIN_TRIGGERS=3. Scope: signals_only.

CRYPTYX | institutional-grade crypto intelligence: 150+ signals, 440+ metrics, 200+ assets. | Per-asset triggered signal feed on the latest anchor day from api.v_asset_signals_enriched. Returns ok, symbol, asof_day, macro `regime` (expansion/consolidation/deleveraging) + `regime_confidence`, total, high_grade (count of A/B), signals[], meta. Each signal row: signal_id, name, description, class (CORR/EFF/FLOW/FUT/OB/OPT/TR/VOL), horizon, value, z, confidence, ic, hit_rate, ir, regime_accuracy, predictive_grade, operational_grade, health_grade, is_anti_predictive, plus `walk_forward` block per signal at its registered horizon (is_ic, oos_ic, overfit_ratio, ic_delta, reliability_grade) from analytics.signal_eval_wf_day. Anti-predictive signals filtered out, ordered by health_grade then |z|. IC/grades are cross-sectional (universe-wide) — flagged in meta. Per-asset live firing panel with regime gating + walk-forward robustness in one call.

CRYPTYX | institutional-grade crypto intelligence: 150+ signals, 440+ metrics, 200+ assets. | Nearest-k peers in CRYPTYX's 8-class factor t-score space (CORR/EFF/FLOW/FUT/OB/OPT/TR/VOL) for a target asset at the requested horizon (7d/14d/30d/90d). Point-in-time Euclidean distance over per-class t-scores from metrics.factor_scores on the latest available day — not a cluster label, not rolling correlation. Returns target {asset, composite, ret_7d, classes} plus peers ranked by distance with composite, divergence vs target, ret_7d, and shared_classes. Use for hedge selection, basket construction, and divergence trades grounded in the protected factor engine.

CRYPTYX | institutional-grade crypto intelligence: 150+ signals, 440+ metrics, 200+ assets. | Top-N composite-ranked assets from the ~200-asset universe, bundled as a single agent starter pack. Each idea returns asset, rank, composite_score, returns{ret_1d,ret_7d}, sharpe_7d, derivatives{funding_z,oi_momentum_z}, regime{regime,confidence}, dominant_factor{class,t_score} across the 8 factor classes (CORR/EFF/FLOW/FUT/OB/OPT/TR/VOL), signal_count{atomic,composite}, top_setups (top-3 atomic signals gated by health_grade A/B, not anti-predictive, n_triggers>=5, with hit_rate + mean_fwd_return + last_triggered), and top_predictors (top-3 TS-graded metrics per asset). Replaces 5 separate calls.

CRYPTYX | institutional-grade crypto intelligence: 150+ signals, 440+ metrics, 200+ assets. | Re-rank the ~200-asset CRYPTYX universe under your own class weights across the 8 factor classes (CORR/EFF/FLOW/FUT/OB/OPT/TR/VOL) at 7d/14d/30d horizon. Reads signals.class_composite_log + the active versioned default weight set, returns asof_day, horizon, total_assets, custom_weights, default_weights, summary {bullish, bearish, neutral}, ranked assets [{asset, score, default_score, delta, class_contributions, rank}], and top_movers (10 largest |delta| vs default). Encode a house view, A/B test a composite recipe, or stress-test the production weights against your own.

CRYPTYX | institutional-grade crypto intelligence: 150+ signals, 440+ metrics, 200+ assets. | Latest-day Deribit IV term structure for one asset plus current put/call open-interest ratio. Returns term_structure (per-tenor rows: tenor, atm_iv, rr_25d 25-delta risk reversal, bf_25d 25-delta butterfly, iv_25c, iv_25p), pcr block (pcr, oi_put, oi_call), and asof_day. Coverage limited to Deribit venues (BTC, ETH) — out-of-scope assets return empty arrays. Raw upstream telemetry feeding the OPT factor class; use for skew reads, vol-term structuring, and options positioning context.

CRYPTYX | institutional-grade crypto intelligence: 150+ signals, 440+ metrics, 200+ assets. | Per-asset triggered signal ledger over last N days (7-365, default 90), filtered to grade A/B non-anti-predictive signals only. Returns ok, symbol, days, events[] with asof_day, signal_id, name, class (one of 8: CORR/EFF/FLOW/FUT/OB/OPT/TR/VOL), direction (long/short/neutral derived from registry tags + z sign), z, confidence, horizon, grade, close_px for chart overlay, fwd_return_7d realized outcome, plus meta.ic_context=cross_sectional. Use for "when did X last fire on SOL and what happened next" backtests across ~200 assets and 143 atomic signals.

OpenAI-shaped speech endpoint for agents — change the base URL, pay per call with x402, get WAV audio for $0.001

Batch voice generation for agents — up to 20 short texts in one paid call for $0.002

API Gateway: Base RPC

API Gateway: Ethereum RPC (Cloudflare)

API Gateway: CoinMarketCap API

Bulk onchain address labeling: POST up to 50 Base/EVM addresses, returns curated entity labels (CEX hot wallet, DEX router, bridge, stablecoin, lending protocol, plus sanctioned/mixer/scam flags) with tag, name, category, confidence and source. For AI agent due diligence, counterparty screening, automated KYC-lite and payment-routing risk gating. null = address not in the curated label set.

Complete daily Chinese almanac in ONE call / 今日黄历 / 老黄历 / 黄历今日 / tongsheng today / Chinese lunar calendar today. Bundles lunar date + gan-zhi + zodiac + yi/ji auspicious activities + day clash + lucky directions + 28 mansions + day officer + solar terms (jieqi) + today's festivals. Replaces /today + /lunar + /almanac + /festival in a single request. For AI agents doing daily Chinese cultural, date-selection or fortune queries.