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ADH Global Economic Signals — agentdatum.com
x402
ADH Global Economic Signals — agentdatum.com is a paid API for AI agents from agentdatum.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-09-13).
Returns computed financial intelligence signals (momentum, volatility, z-score, percentile rank) for global economic time-series data from 239 aggregated 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
Returns a JSON object containing computed signals over the global economic time-series: log-return momentum (mom_4, ret_1), volatility (vol_20), z-scores (zscore_10, zscore_30), percentile ranks (pctrank_10, pctrank_30), last observed value, historical timestamps and values, data source identifier (worldbank-econ), series status, and generation timestamp. Wrapped with metadata including source tag (datum-signals), data type label, and collection timestamp.
Example use cases
Macro regime detection for trading bot
“Fetch the latest global economic signals including momentum and z-score so my trading bot can determine whether we're in a risk-on or risk-off macro regime right now.”
Economic trend briefing for investment report
“Get me the current ADH global economic signal data — I need the log-return momentum, volatility, and percentile rank for the world economy so I can include it in this week's investment outlook.”
AI agent context enrichment for macro analysis
“Inject the latest global economic intelligence signals into my agent's context — I want momentum, z-score, and historical time-series values so it can reason about the current macroeconomic environment.”
Technical details
Endpoint
GEThttps://agentdatum.com/api/v1/d/sig-econ-globalWhen to prefer
Choose this endpoint when you need pre-computed quantitative macro signals (momentum, volatility, z-score, percentile rank) derived from aggregated global economic data rather than raw figures. It is preferable over raw data APIs when your agent needs ready-to-reason-about intelligence with provenance and time-synchronization already applied. Best suited for macro regime detection, portfolio risk assessment, or enriching an AI agent's economic context without building your own signal pipeline.
Side effects
- Payment not settled via x402 — returns 402 Payment Required if USDC not provided
- Data source temporarily unavailable — some signal fields (vol_20, zscore_10, zscore_30, pctrank_10, pctrank_30) may return null when insufficient history exists
- Stale data — generated_at timestamp may lag real-time if upstream World Bank or aggregated sources have not updated
- Insufficient time-series points — signals like z-score require minimum history depth and will return null for short series
- Malformed request — non-GET methods rejected per schema enum constraint
Output
Schema · Response
{
"type": "json",
"example": {
"raw": {
"method": "x402 signals: log-return momentum / volatility / z-score / percentile rank over time-series library",
"product": "全球经济信号",
"signals": [
{
"mom_4": 0.315285,
"ret_1": 0.052069,
"points": 10,
"series": "worldbank-econ",
"status": "ok",
"vol_20": null,
"history": [
{
"ts": 1420070400,
"value": 18295019000000
},
{
"ts": 1420070400,
"value": 18295019000000
}
],
"zscore_10": null,
"zscore_30": null,
"last_value": 29298013000000,
"pctrank_10": null,
"pctrank_30": null
}
],
"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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