Cryptyx AI Metrics Feed is a paid API for AI agents from www.cryptyx.ai, paid per call via x402, $0.01/call, status unknown (last checked 2026-09-13).
Returns z-scores, percentiles, and t-scores by factor class for specified crypto assets, optimized for LLM context window efficiency
CRYPTYX | institutional-grade crypto intelligence: 150+ signals, 440+ metrics, 200+ assets. | One-call agent grounding bundle. Returns latest anchor `asof_day` plus per-asset payload across four slim queries: `profile` (comp_score, comp_rank_eq, comp_rank_pct, ret_1d/7d/30d, vol_rv_7d/30d, sharpe_7d/30d), `factors[class][horizon]` cube of `t_score_pct` + `t_band` across 8 classes (CORR/EFF/FLOW/FUT/OB/OPT/TR/VOL), `regime.primary` and `regime.secondary` with confidence + `resolution_mode`, and raw `liquidity` OB depth row. ~200-asset universe, single aligned `asof_day`. Drop into a prompt for quant-aware agents.
A JSON array of metric objects per asset, each containing the asset symbol, factor class label (e.g. TR), a specific metric ID (e.g. TR_TREND_STRENGTH_14D), z-score, percentile (0-1), and t-score — structured compactly for direct injection into LLM prompts.
GEThttps://www.cryptyx.ai/api/ai/metricsUse this endpoint when you need statistical factor scores (z-scores, percentiles, t-scores) for multiple crypto assets in a format optimized for LLM context windows — prefer this over /api/asset-factors when token efficiency matters or when feeding raw quant context directly into an agent prompt.
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
{
"type": "application/json",
"example": {
"metrics": [
{
"z": 1.42,
"pctl": 0.88,
"asset": "BTC",
"class": "TR",
"t_score": 1.24,
"metric_id": "TR_TREND_STRENGTH_14D"
}
]
}
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