Blockchain And Crypto x402 offerings

Invoke the DB-side signal evaluator for one anchor day. Dryrun mode predicts trigger counts without writes; live mode executes and returns rows inserted to signal_log. Backfill primitive for missed pipeline days; validation primitive for forked parameter variants before you activate them. Runs across 200+ digital assets — BTC, ETH, SOL, top-cap + long-tail coverage.

Signal activity leaderboard over 7-365 days — per-signal trigger frequency, average confidence, assets triggered, and a per-horizon walk-forward IC/reliability block. Frequency and robustness in one pass. Runs across 200+ digital assets — BTC, ETH, SOL, top-cap + long-tail coverage.

Recently triggered atomic signal events (up to 50, last 1-7 days). Per event: asset, signal_id, confidence, asof_day. Change-detection digest for monitoring. Response carries a _next block with explain / catalog / top / thesis / trade-ideas so an agent can pivot from event stream to per-event drill-down or asset thesis in one hop. Runs across 200+ digital assets — BTC, ETH, SOL, top-cap + long-tail coverage.

Near-fire setups ranked by distance-to-trigger DESC (closest to firing first). Primary monitoring surface for autonomous agents — cheap to poll at 15-30 min intervals to detect when a queued setup is about to fire. Distance in sigma; 0.2 means one metric is 0.2σ from its threshold. Cheaper than polling /api/v1/harness/evaluations when you only care about near-fires. Applicable across the CRYPTYX 200+ asset coverage universe (BTC, ETH, SOL, top-cap + long-tail); backtested scope is the 33-asset curated slice.

Single-call LLM grounding bundle — top 10 and bottom 5 composite-ranked assets, all signals triggered today, 30-day factor breadth across 8 classes, plus a ready-to-drop plaintext brief for an agent prompt. Runs across 200+ digital assets — BTC, ETH, SOL, top-cap + long-tail coverage.

Entry point for agents landing on CRYPTYX. Returns the full signal registry (atomic + composite, all versions) with class, horizon, geometry, parameters, 30-day trigger stats, three-axis health grades, walk-forward IS/OOS, and per-signal _actions for explain / backtest / fork / simulate. Covers 200+ assets across BTC/ETH/SOL + long-tail. Includes a meta.next recommended flow so one call tells an agent what to call next.

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.

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. Runs across 200+ digital assets — BTC, ETH, SOL, top-cap + long-tail coverage.

Per-asset snapshot or daily series — composite score, rank, recent returns, realised volatility, Sharpe ratios, plus macro regime with confidence. The 200+ asset master ranking feed for portfolio construction and rotation. Coverage: pass any asset in the CRYPTYX 200+ tracked universe (BTC, ETH, SOL, top-cap + long-tail).

First-ever fires — setups that fired for the FIRST TIME in prospective history. Rarest, highest-signal events in the canonical catalog. A setup with state = first_ever has never fired before since it was added. Historical backtest reflects behaviour on ADJACENT setups or partial configurations, not this exact combo — treat as structurally important context, not directional recommendations. Applicable across the CRYPTYX 200+ asset coverage universe (BTC, ETH, SOL, top-cap + long-tail); backtested scope is the 33-asset curated slice.

Canonical setup catalog list — 150 founder-approved multi-metric compositions across 8 factor families + cross-family fades. Filter by factor_family (TR/EFF/VOL/FLOW/FUT/OB/OPT/CORR/CROSS_FAMILY), tier (1-5), direction (long/short/neutral), asset (in applicable_assets), or durability_class (structural for 90d+ high-Sharpe, tactical for small-sample, hybrid for the rest). Each setup ships display_name, composition, primary_horizon, backtest snapshot pointer. The shipping surface — not a raw metric database. Applicable across the CRYPTYX 200+ asset coverage universe (BTC, ETH, SOL, top-cap + long-tail); backtested scope is the 33-asset curated slice.

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. Runs across 200+ digital assets — BTC, ETH, SOL, top-cap + long-tail coverage.

Canonical harness tear-sheet — one call returns totals (fires / boundary / silent / first-ever), top-5 fires by confidence, first-ever prints (5-year rarity), boundary watchlist (near-fire ranked by distance-to-trigger), and silent fade setups. Every setup carries plain-English composition (via ref.metric_display_labels) so responses never leak raw metric_id strings. Priced cheap so polling patterns stay economically viable — every MCP skill instructs Claude to call this FIRST as the canonical orientation. Scope: apex (BTC/ETH/SOL default), all (33-asset curated universe), or asset:{SYMBOL} for single-asset lens.

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. Runs across 200+ digital assets — BTC, ETH, SOL, top-cap + long-tail coverage.

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. Runs across 200+ digital assets — BTC, ETH, SOL, top-cap + long-tail coverage.

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. Coverage: pass any asset in the CRYPTYX 200+ tracked universe (BTC, ETH, SOL, top-cap + long-tail).

Per-asset triggered signal ledger over 7-365 days, A/B grades only. Per event: signal, direction (long/short/neutral), z, confidence, horizon, grade, close price, and realised 7-day forward return. Coverage: pass any asset in the CRYPTYX 200+ tracked universe (BTC, ETH, SOL, top-cap + long-tail).

Arbitrary trigger definition — POST any {type: z_score|z_differential|composite, ...} predicate and get the full institutional evidence envelope back. 5-year backtest, Sortino, max drawdown, profit factor, walk-forward IS/OOS, regime context, rolling hit rates. Enterprise tier because every request runs a live backtest (no cache). The extensibility endpoint: anything expressible in Metric Slicer becomes a triggerable institutional-grade primitive. Backtests run over the CRYPTYX 200+ tracked digital assets — BTC, ETH, SOL, top-cap + long-tail coverage.

Single-metric z-score threshold trigger — pass any metric_id, operator (gt/lt/gte/lte/abs_gt), and threshold. Returns the same institutional envelope as the presets: 5-year backtest, Sortino, MDD, profit factor, walk-forward, regime context. Applies to any of 670+ metrics across 8 factor classes. Backtests run over the CRYPTYX 200+ tracked digital assets — BTC, ETH, SOL, top-cap + long-tail coverage.

CRYPTYX is the intelligence layer for autonomous trading agents — the same institutional-grade research stack that powers professional desks, priced per call in USDC. 200+ digital assets, 440+ metrics, 150+ signals across 8 factor classes, walk-forward validated, macro-regime aware. Agents don't just consume signals. They backtest any factor over 5+ years of history (Metric Slicer), fork and validate custom signal recipes (Signal Forge), scan the universe for live matches, decompose per-asset conviction across every factor class, and query the full stack in natural language. The loop: define your conviction thesis → validate it against history → scan for live matches → execute via OKX, Kraken, or Coinbase execution toolkits. CRYPTYX is the brain; exchanges are the rails. No accounts, no API keys, no rate cards.

Daily taker buy/sell USD and buy/sell ratio per asset, split into spot and futures arrays, last N days. Raw tape for custom flow models. Coverage: pass any asset in the CRYPTYX 200+ tracked universe (BTC, ETH, SOL, top-cap + long-tail).

Natural-language entry point to the full CRYPTYX stack. POST a query; an LLM classifies into 60+ intents (conviction_ranking, market_brief, factor_breakdown, signal_explain, regime_check, top_setups, …) and routes to pre-computed analytics across 200+ assets, the full signal registry, and 440+ metrics. Response is intent-shaped. One endpoint replaces plumbing 30+ specific ones.

Aggregated-exchange daily perpetual funding rate per asset, last N days. Raw feed — no annualisation, no z-score. Cheap historical input for carry-trade backtests and crowding diagnostics. Coverage: pass any asset in the CRYPTYX 200+ tracked universe (BTC, ETH, SOL, top-cap + long-tail).

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. Coverage: pass any asset in the CRYPTYX 200+ tracked universe (BTC, ETH, SOL, top-cap + long-tail).