ADH European Electricity Price Signal is a paid API for AI agents from agentdatum.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-16).
Returns quantitative momentum, volatility, z-score, and percentile-rank signals for European electricity prices derived from a multi-source financial intelligence layer.
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。
A JSON object containing: last_value (most recent electricity price), ret_1 (1-period log-return), mom_4 (4-period momentum), vol_20 (20-period rolling volatility), zscore_10 and zscore_30 (z-scores vs 10- and 30-period windows), pctrank_10 and pctrank_30 (percentile ranks), a historical time-series array of timestamps and values, point count, series identifier, status flag, and generation timestamp.
GEThttps://agentdatum.com/api/v1/d/sig-electricity?utm_source=zero.xyzChoose this endpoint when you need pre-computed, statistically normalized signals (z-score, percentile rank, momentum, volatility) for European electricity prices rather than raw price data alone. It is particularly valuable for regime detection, mean-reversion analysis, and feeding quantitative context into AI agents or macro models without building your own signal computation pipeline.
{
"type": "json",
"example": {
"raw": {
"method": "x402 signals: log-return momentum / volatility / z-score / percentile rank over time-series library",
"product": "欧洲电价信号",
"signals": [
{
"mom_4": -1.024325,
"ret_1": -0.455782,
"points": 241,
"series": "fi-electricity",
"status": "ok",
"vol_20": 0.284637,
"history": [
{
"ts": 1786291200,
"value": 0.496
},
{
"ts": 1786291200,
"value": 0.496
}
],
"zscore_10": -1.653,
"zscore_30": -0.3218,
"last_value": 0.717,
"pctrank_10": 0,
"pctrank_30": 43.3
},
{
"mom_4": -1.024325,
"ret_1": -0.455782,
"points": 241,
"series": "fi-electricity",
"status": "ok",
"vol_20": 0.284637,
"history": [
{
"ts": 1786291200,
"value": 0.496
},
{
"ts": 1786291200,
"value": 0.496
}
],
"zscore_10": -1.653,
"zscore_30": -0.3218,
"last_value": 0.717,
"pctrank_10": 0,
"pctrank_30": 43.3
}
],
"generated_at": "2026-08-14T00:22:02Z"
},
"source": "datum-signals",
"data_type": "信号指标",
"collected_at": "2026-08-14T00:22:02Z"
}
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