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ADH Global Market Stress Index Signal
x402
ADH Global Market Stress Index Signal is a paid API for AI agents from agentdatum.com, paid per call via x402, $0.1/call, status unknown (last checked 2026-09-13).
Returns a composite global market stress index with momentum, volatility, z-score, and percentile rank signals derived from global equity indices.
Price / call$0.1
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
Returns a JSON object with per-series signals (log-return momentum over 4 periods, 1-day return, 20-day volatility, z-scores over 10 and 30 days, percentile ranks, last value, and historical time-series) for multiple global equity indices, plus a composite stress reading with a 0-100 index, average z-bar, number of member series, and a qualitative regime label (e.g. '偏热'/running hot). Also includes data source attribution and generation timestamp.
Example use cases
Risk-off regime detection for portfolio
“Is the global equity market currently in a stressed or overheated regime? Give me the composite stress index, z-score, and percentile rank so I can decide whether to reduce risk exposure.”
Daily macro briefing for trading agent
“Pull the latest global market stress signal for my morning briefing — I want momentum, volatility, and the composite 0-100 index reading with its regime label.”
Event window stress monitoring
“Check the current market stress composite — I need the z-scores over 10 and 30 days and percentile rankings for global indices to see if stress is spiking around today's Fed announcement.”
Technical details
Endpoint
GEThttps://agentdatum.com/api/v1/d/sig-market-stressWhen to prefer
Choose this endpoint when you need a single, pre-computed composite market stress score that aggregates multiple global equity indices into one actionable signal with momentum, volatility, z-scores, and percentile ranks — all derived and time-synchronized from 239 raw sources. Prefer this over raw price feeds when you want ready-to-use regime detection (hot/cold/stressed) without having to compute cross-asset statistics yourself. Best for AI agents that need a fast macro regime input for downstream decision-making.
Side effects
- Payment not sent or insufficient USDC balance — x402 payment required before data is returned
- Data unavailable for one or more underlying index series — individual series may show non-ok status
- Stale or delayed data if upstream source feeds are lagging
- No query parameters supported — any unexpected parameters may be ignored or cause errors
- Rate limiting if too many calls are made without valid x402 payment
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": "全球市场压力指数",
"signals": [
{
"mom_4": 0.01167,
"ret_1": 0.001748,
"points": 261,
"series": "global-indices___FCHI",
"status": "ok",
"vol_20": 0.006159,
"history": [
{
"ts": 1782716400,
"value": 8367.330078
},
{
"ts": 1782716400,
"value": 8367.330078
}
],
"zscore_10": 1.5919,
"zscore_30": 2.6024,
"last_value": 8714.9297,
"pctrank_10": 100,
"pctrank_30": 100
},
{
"mom_4": 0.01167,
"ret_1": 0.001748,
"points": 261,
"series": "global-indices___FCHI",
"status": "ok",
"vol_20": 0.006159,
"history": [
{
"ts": 1782716400,
"value": 8367.330078
},
{
"ts": 1782716400,
"value": 8367.330078
}
],
"zscore_10": 1.5919,
"zscore_30": 2.6024,
"last_value": 8714.9297,
"pctrank_10": 100,
"pctrank_30": 100
}
],
"composite": {
"zbar": 1.387,
"reading": "偏热",
"n_members": 6,
"index_0_100": 73.12
},
"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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