CRYPTYX Asset Factor T-Scores by Class and Horizon is a paid API for AI agents from www.cryptyx.ai, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-13).
Returns t-scores for a specific asset across CRYPTYX's 8 canonical factor classes (CORR, EFF, FLOW, FUT, OB, OPT, TR, VOL) at a given forward return horizon (7d, 14d, or 30d).
CRYPTYX | institutional-grade crypto intelligence: 150+ signals, 440+ metrics, 200+ assets. | Single-asset factor t-scores across CRYPTYX's 8 canonical classes (CORR, EFF, FLOW, FUT, OB, OPT, TR, VOL) and 8 horizons (1d/7d/14d/30d/60d/90d/180d/365d), sourced from the policy-aware metric stack (440+ winsorized, z-capped metrics rolled up by class x horizon). Returns a flat top-level array of rows with asof_day, asset, horizon, class, t_score_pct, t_band. mode=snapshot returns the latest anchor day; mode=series returns a daily window (up to 365d) optionally filtered to specific horizons. Use to inspect one asset's factor surface for grounding before composite/signal calls.
Returns a JSON array of factor records for the queried asset, each containing the asset symbol, factor class label (one of CORR, EFF, FLOW, FUT, OB, OPT, TR, VOL), the forward horizon (7d/14d/30d), and the computed t-score derived from 440+ underlying metrics with policy-aware winsorization and z-capping.
GEThttps://www.cryptyx.ai/api/asset-factors?utm_source=zero.xyzUse this endpoint when you need per-asset factor class t-scores for a single asset at a specific forward horizon, ideal for cross-sectional ranking, factor exposure profiling, or sector rotation analysis. Prefer this over the full universe matrix endpoint when you only need one asset's scores and want lower latency and cost. Use when you need granular t-scores broken out by all 8 canonical factor classes rather than a composite signal.
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
{
"type": "application/json",
"example": {
"factors": [
{
"asset": "BTC",
"class": "TR",
"horizon": "30d",
"t_score": 1.42
}
]
}
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