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Cryptyx Metrics Preview — 90-Day Z-Score Timeseries
x402
Cryptyx Metrics Preview — 90-Day Z-Score Timeseries is a paid API for AI agents from cryptyx.ai, paid per call via x402, $0.01/call, status unknown (last checked 2026-09-13).
Returns a 90-day z-score and percentile timeseries for a single (metric_id, asset) pair, suitable for sparklines, chart tooltips, and rapid metric screening.
Price / call$0.01
Success—
StatusUnknown
How this service works
Lightweight 90-day z-score timeseries for one (metric_id, asset). Returns asof_day + z + percentile per day. Cheap primitive for chart tooltips, sparklines, or rapid metric due-diligence before committing to a full /metrics/slicer backtest at $0.05. Coverage: pass any asset in the CRYPTYX 200+ tracked universe (BTC, ETH, SOL, top-cap + long-tail).
Output
An array of daily records each containing asof_day (date), z (z-score relative to trailing distribution), and percentile (0-100 rank within the lookback window), covering up to 90 days for the requested metric_id and asset pair.
Example use cases
Quick metric extremeness screening
“Before I run a full backtest on the NUPL metric for Ethereum, can you grab the 90-day z-scores and percentiles so I can see if it's currently at an extreme reading or just in a normal range?”
Sparkline data for portfolio dashboard
“I need to populate sparklines on my trading dashboard showing how the MVRV_RATIO has ranked percentile-wise over the last 90 days for both Bitcoin and Ethereum — just give me the daily z-scores and percentiles for each.”
Signal validation before full analysis
“Show me the 90-day percentile timeseries for the SOPR metric on SOL so I can eyeball whether this signal is worth diving deeper into with a proper backtest, or if it's been noisy and unreliable.”
Technical details
Endpoint
GEThttps://cryptyx.ai/api/metrics/previewWhen to prefer
Use this endpoint when you need a cheap ($0.01), lightweight z-score and percentile timeseries for a single metric-asset pair — ideal for rendering sparklines, chart tooltips, or doing rapid metric screening before committing to a full /metrics/slicer backtest. Prefer this over the full slicer when you only need normalized historical context for one metric on one asset and don't need backtest performance statistics.
Side effects
- Unknown metric_id returns 404 or empty result — caller must validate metric_id against the catalog first
- Invalid or unrecognized asset symbol returns error — symbol is uppercased server-side but must be a supported asset
- Days parameter out of range (below 7 or above 365) may return validation error
- Insufficient payment or missing x402 payment header results in 402 Payment Required
- Network timeout if the upstream metric computation is slow
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Tags
x402
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