Cryptyx Asset Thesis is a paid API for AI agents from www.cryptyx.ai, paid per call via x402, $0.05/call, status unknown (last checked 2026-10-11).
Returns a complete per-asset trading thesis including composite score, rank, dominant factor class with t-score, top firing signals, macro regime, and key metrics in a single call.
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.
A JSON object containing the asset's composite score, universe rank, dominant factor class with t-score, a list of top firing signals with grades, the current macro regime label, and key metrics — essentially a one-stop answer to 'should I trade this asset.'
GEThttps://www.cryptyx.ai/api/asset/thesis?utm_source=zero.xyzUse this endpoint when you need a comprehensive, single-call trading thesis for a specific crypto asset and want to avoid making 10+ separate API calls for signals, regime, factor scores, and metrics. Ideal for agents that need to quickly evaluate whether an asset is worth trading without assembling results from multiple endpoints.
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
{
"type": "application/json",
"example": {
"rank": 1,
"asset": "BTC",
"top_signals": [
{
"signal_id": "TR_MOMO_CONT_14D",
"triggered": true
}
],
"composite_score": 0.42,
"dominant_factor": {
"class": "TR",
"t_score": 1.42
}
}
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