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ADH Energy Price Signals
x402
ADH Energy Price Signals is a paid API for AI agents from agentdatum.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-09-15).
Returns quantitative momentum, volatility, z-score, and percentile-rank signals for energy price time series (e.g. WTI crude oil) derived from EIA and other sources
Price / call$0.01
Success—
StatusUnknown
How this service works
ADH 金融情报层：把 239 个原始数据源洗成带实体解析、时间同步、溯源与派生结论的情报（宏观regime / 加密尽调 / 事件窗口），免费注入你的 AI 上下文。Agent 走 x402 结算，人类订阅（PayPal）即将上线。
Output
A JSON object containing one or more energy signal records, each with: the series identifier (e.g. energy-eia__DCOILWTICO), last price value, 1-day log return, 4-period momentum, 20-day rolling volatility, z-scores over 10- and 30-day windows, percentile ranks over 10- and 30-day windows, number of data points, a short price history array (timestamp + value), signal status, and metadata including generation timestamp, source label, and data type.
Example use cases
Crude oil regime monitoring for macro portfolio
“Check where WTI crude oil sits right now — give me the momentum, volatility, z-scores, and percentile rank so I can tell if we're in a risk-on or risk-off energy regime for my macro portfolio rebalance.”
Energy signal alert in automated trading agent
“Fetch the latest energy price signals for WTI crude oil and flag if the 30-day z-score is outside ±1.5 or the percentile rank drops below 10 — I want my trading agent to know when something unusual is happening.”
Quantitative briefing on energy commodity trend
“Give me a quick quant briefing on crude oil: what's the 1-day log return, 4-period momentum, and 20-day volatility right now, along with the recent price history so I can see the trend?”
Technical details
Endpoint
GEThttps://agentdatum.com/api/v1/d/sig-energyWhen to prefer
Choose this endpoint when you need pre-computed quantitative signals (momentum, volatility, z-score, percentile rank) for energy commodities like WTI crude oil, rather than raw price feeds. It is ideal for AI agents that need a ready-to-use signal layer without running their own time-series calculations. Prefer it over raw data APIs when your agent needs context on where prices stand historically (z-score, percentile rank) and how they are trending (momentum, log-return). Best suited for macro regime detection, quantitative trading signals, and energy market briefings.
Side effects
- Payment not settled via x402 — endpoint returns 402 Payment Required if USDC payment is missing or invalid
- Series data temporarily unavailable — status field may return non-'ok' value with reduced or empty history array
- Stale data — generated_at timestamp may lag real-time if upstream EIA source has not updated
- Empty signals array — if no valid data points exist for the requested window, points field may be 0 and z-scores/ranks may be null or 0
- Malformed request — missing required 'type' or 'method' fields in input object returns a validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"raw": {
"method": "x402 signals: log-return momentum / volatility / z-score / percentile rank over time-series library",
"product": "能源价格信号",
"signals": [
{
"mom_4": 0,
"ret_1": 0,
"points": 39,
"series": "energy-eia__DCOILWTICO",
"status": "ok",
"vol_20": 0.005924,
"history": [
{
"ts": 1785283200,
"value": 86.08
},
{
"ts": 1785283200,
"value": 86.08
}
],
"zscore_10": 0,
"zscore_30": -0.7268,
"last_value": 81.96,
"pctrank_10": 0,
"pctrank_30": 3.3
},
{
"mom_4": 0,
"ret_1": 0,
"points": 39,
"series": "energy-eia__DCOILWTICO",
"status": "ok",
"vol_20": 0.005924,
"history": [
{
"ts": 1785283200,
"value": 86.08
},
{
"ts": 1785283200,
"value": 86.08
}
],
"zscore_10": 0,
"zscore_30": -0.7268,
"last_value": 81.96,
"pctrank_10": 0,
"pctrank_30": 3.3
}
],
"generated_at": "2026-08-14T00:22:02Z"
},
"source": "datum-signals",
"data_type": "信号指标",
"collected_at": "2026-08-14T00:22:02Z"
}
}Tags
x402
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