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Cryptyx Cross-Factor Divergence Flags
x402
Cryptyx Cross-Factor Divergence Flags 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 assets where different factor classes (e.g. trend vs volatility) disagree in direction, along with the spread magnitude between them, across configurable time horizons.
Price / call$0.01
Success—
StatusUnknown
How this service works
CRYPTYX | institutional-grade crypto intelligence: 150+ signals, 440+ metrics, 200+ assets. | Universe-aggregate cross-factor-class divergence detector. Averages t_scores across ~200 active assets from metrics.factor_scores at the latest asof_day per horizon (excludes OPT), then runs three hardcoded patterns over TR/VOL/FLOW only: Ignition (TR+VOL extreme), Capitulation (FLOW+TR collapsed), Distribution (outflows while trend holds). Live path uses fixed thresholds, not the adaptive percentile engine. Returns ok, asof_day, total_alerts, by_type counts, by_horizon grouping, ranked alerts array (severity-weighted by horizon), durationMs. Market-wide regime read, not per-asset; use for top-down inflection scanning.
Output
A list of assets exhibiting cross-factor-class divergence, each with the two conflicting factor classes (e.g. TR vs VOL), the spread magnitude between them, and optionally the directional stance of each class. Results are filtered by the requested time horizons.
Example use cases
Example prompt
“Show me all crypto assets right now where trend and volatility factors are pointing in opposite directions — specifically looking for large spread divergences — check across the 7d and 14d horizons.”
Technical details
Endpoint
GEThttps://www.cryptyx.ai/api/market-pulse/divergencesWhen to prefer
Use this endpoint when you want to surface crypto assets where factor classes are in disagreement — a precondition for mean-reversion or breakout setups. Prefer this over the full factor matrix endpoint when you specifically need divergence detection rather than raw scores, and over the regime endpoint when you care about cross-factor conflict rather than macro classification.
Side effects
- Invalid or unsupported horizon value returns 400 bad request
- No divergences found for the requested horizons returns empty divergences array
- Payment not provided or insufficient USDC returns 402 payment required
- Service temporarily unavailable returns 503
- Rate limit exceeded returns 429
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "application/json",
"example": {
"divergences": [
{
"asset": "BTC",
"spread": 1.2,
"class_a": "TR",
"class_b": "VOL"
}
]
}
}Tags
x402
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