ADH Global Disasters Feed is a paid API for AI agents from agentdatum.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-09-14).
Returns live global natural-hazard disaster events from GDACS including alert levels, affected populations, event types, and geographic coordinates
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。
Returns a JSON object containing an array of active global disaster events, each with event name, country, event type code (e.g. FL for flood), alert level (Green/Orange/Red), severity magnitude, geographic coordinates, affected population count, and date range. Also includes total event count and a breakdown of alert level counts. Sourced from GDACS, with collection timestamp.
GEThttps://agentdatum.com/api/v1/d/disasters-globalChoose this endpoint when you need real-time global natural hazard event data aggregated from GDACS with structured alert levels, geographic coordinates, and population impact — especially useful for humanitarian, logistics, financial risk, or insurance applications that need machine-readable disaster intelligence without building a GDACS integration. Prefer this over raw GDACS access when you want pre-processed, agent-ready JSON with source provenance and collection timestamps.
{
"type": "json",
"example": {
"raw": {
"data": [
{
"name": "Flood in Thailand",
"country": "Thailand",
"to_date": "2026-08-10T01:00:00",
"severity": "Magnitude 0 ",
"from_date": "2026-07-30T01:00:00",
"event_type": "FL",
"alert_level": "Green",
"coordinates": [
98.9859,
98.9859
],
"affected_population": 0
},
{
"name": "Flood in Thailand",
"country": "Thailand",
"to_date": "2026-08-10T01:00:00",
"severity": "Magnitude 0 ",
"from_date": "2026-07-30T01:00:00",
"event_type": "FL",
"alert_level": "Green",
"coordinates": [
98.9859,
98.9859
],
"affected_population": 0
}
],
"events": 100,
"alert_level_counts": {
"Green": 99,
"Orange": 1
}
},
"note": "Global Disaster Alert & Coordination System: live natural-hazard events with alert levels.",
"source": "gdacs",
"data_type": "公共安全",
"collected_at": "2026-08-09T18:40:48Z"
}
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