Macro regime classification per asset — expansion / consolidation / contraction — with confidence (0-1). Regimes are factor-derived (not price-derived), so they shift before price action confirms. Use to gate strategies by market state — mean-reversion logic fails in trending regimes.

Composite scores and ranks across ~200 digital assets — comp_score, comp_rank, 1d / 7d returns, factor breadth, conviction count. Snapshot or time-series mode. Use as the master ranking feed for portfolio construction, watchlist generation, and rotation strategies.

Class × horizon factor t-scores per asset across CRYPTYX's 8 canonical factor classes (CORR, EFF, FLOW, FUT, OB, OPT, TR, VOL). Computed from 440+ underlying metrics with policy-aware winsorization and z-capping. Use for cross-sectional ranking, sector rotation, and factor exposure analysis.

Market-wide signal pulse — total triggers across 143 atomic signals, positive/negative counts per factor class, net breadth, asof day. Single-call market state snapshot for the universe of ~200 assets. Use to time risk-on / risk-off shifts and detect early breadth divergence.

Natural-language intelligence query over the full CRYPTYX state — returns answer plus structured sources cited (factor scores, signal triggers, regime context). Use when the question doesn't fit a fixed schema, or when piping an LLM agent into CRYPTYX without per-endpoint plumbing.

Read a web page and extract content as markdown with screenshot

Generate a compact link-preview card (title, description, image, site name) from a URL using OpenGraph/Twitter tags — for chat unfurls, social previews and agent link summaries.

Convert an RSS 2.0 or Atom feed URL into clean, normalized JSON (title, link, published date, summary per item). For agents monitoring news, blogs and content sources.

Fetch a PDF by URL and extract its text as Markdown, with page count and word count. Lets AI agents read PDF documents, reports and papers. (Text-based PDFs; scanned/image-only PDFs are not OCR'd.)

Turn any web page into clean, LLM-ready Markdown. Fetches the URL, isolates the main article with Mozilla Readability (stripping nav, ads and boilerplate), and returns tidy Markdown with the page title and word count — built for AI agents, RAG pipelines, web scraping and content ingestion.

Convert between common text formats: Markdown↔HTML and CSV↔JSON. Handy data-plumbing utility for agents and pipelines.

Extract structured metadata from any web page: title, description, author, published date, language, OpenGraph image, canonical URL, favicon and estimated reading time. Lightweight enrichment for AI agents and link indexing.

Generate a QR code (PNG data-URI or SVG) for any text or URL. Simple, instant utility endpoint.

Multi-factor z-score intersection backtest — 2-4 metric conditions chained with AND logic. Hit rate, mean forward return, sample count. Use to test confluence strategies ("when TR is bullish AND VOL is compressing AND OB depth is rising") before live deployment.

Scan a single metric across all ~200 assets for current z-score extremes — ranked, with percentile context. Use to find live anomalies and outliers — "who is at 3+ sigma on TR_TREND_STRENGTH_14D right now?"

CRYPTYX | institutional-grade crypto intelligence: 150+ signals, 440+ metrics, 200+ assets. | Latest-day firing signals across ~200 assets, returned as `{ atomic, composite }`. Atomic rows: signal_id, signal_name, class (CORR/EFF/FLOW/FUT/OB/OPT/TR/VOL), horizon, tags, z, confidence, confidence_pct, confidence_band, event-delta (event_type, prev/new_triggered, prev/new_confidence, delta_confidence), plus macro `regime` (expansion/consolidation/deleveraging) + `regime_confidence` per row. Composite rows: composite_id, title, composite_type, same confidence + event-delta + regime block. Filtered to live registry; excludes anti-predictive signals via analytics.signal_health.

CRYPTYX | institutional-grade crypto intelligence: 150+ signals, 440+ metrics, 200+ assets. | Curated top-10 atomic signals from CRYPTYX's 143-signal registry, gated to enabled + non-anti-predictive + A/B health-graded names ranked by 7d cross-sectional IC. Each row returns signal_id, name, description, class (CORR/EFF/FLOW/FUT/OB/OPT/TR/VOL), horizon, tags, geometry_type, active_version, active_params, ic_7d, hit_rate_7d, n_obs_7d, n_triggers_7d, health_grade, unique_assets_observed, unique_assets_ever_triggered, trigger_rate_per_asset_day, plus a 7d `walk_forward` block (latest IS/OOS split: is_ic, oos_ic, overfit_ratio, ic_delta, reliability_grade) so the in-sample IC and the OOS check sit side by side. Response also carries count, selection_criteria block, durationMs. Default discovery surface MCP agents call before /api/signals/catalog to short-list which signals to wire into a live strategy.

CRYPTYX | institutional-grade crypto intelligence: 150+ signals, 440+ metrics, 200+ assets. | Enabled signal registry. Per row: signal_id, name, description, class (CORR/EFF/FLOW/FUT/OB/OPT/TR/VOL), horizon, tags, geometry_type, active_version, active_params, params_created_at, recent_total_assets, recent_triggered_assets, recent_days_evaluated, unique_assets_observed, unique_assets_ever_triggered, trigger_rate_per_asset_day, health_grade, predictive_grade, operational_grade, plus a `walk_forward` block (latest 180d/70-30 IS/OOS split from analytics.signal_eval_wf_day: is_ic, is_hit_rate, oos_ic, oos_hit_rate, overfit_ratio, ic_delta, reliability_grade green/yellow/red). Top-level: ok, count, signals, meta.ic_context='cross_sectional', durationMs. logic_sql withheld (protected IP). Discovery surface before backtest or fork.

CRYPTYX | institutional-grade crypto intelligence: 150+ signals, 440+ metrics, 200+ assets. | CRYPTYX service health + version probe. Returns build identifier, latest pipeline run timestamp, and current operational counts (active signals, composites, asset universe size). Sub-second response, no DB writes. Use as a low-cost agent ping to confirm pay-per-call is wired correctly end-to-end and the service is live before issuing more expensive queries.

CRYPTYX | institutional-grade crypto intelligence: 150+ signals, 440+ metrics, 200+ assets. | Signal trigger-activity leaderboard over a configurable lookback (window=7-365 days, default 30). Reads signals.signal_log and joins signals.signal_registry to return per-signal rows: signal_id, total_days, triggered_days, trigger_events, trigger_rate_pct, avg_confidence, confidence_std, assets_triggered, last_triggered, class, horizon, plus a per-horizon `walk_forward` block (latest 180d/70-30 IS/OOS split: is_ic, oos_ic, overfit_ratio, ic_delta, reliability_grade) so an agent reading the leaderboard sees firing frequency AND robustness in one pass. Ranks 143 atomic + 9 composite signals across ~200 assets by avg_confidence DESC, then trigger_rate_pct.