ADH Global Macro Synthesis — L5 Cross-Source Intelligence is a paid API for AI agents from agentdatum.com, paid per call via x402, $0.3/call, status unknown (last checked 2026-09-14).
Returns a synthesized global macroeconomic intelligence report combining China, Eurozone, and IMF data into regime classifications with confidence scores and provenance.
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 derived regime classifications for China (e.g. 'stabilizing_easing' with CPI, PMI, GDP, LPR), the Eurozone (e.g. 'low_growth_low_inflation' with GDP, HICP), and a global IMF macro coverage snapshot. Each classification includes a confidence score (0–1), the source datasets used, and a transformation description. A top-level provenance array records the synthesis stage, contributing sources, timestamp, and confidence. Also includes a canonical_id, schema version, and synthesis_time.
GEThttps://agentdatum.com/api/v1/d/l5-global-macro-synthesisChoose this endpoint when you need a pre-synthesized, multi-source macro regime classification rather than raw data feeds. It is ideal when you want China + Eurozone + IMF intelligence in a single call with confidence scores and full provenance, avoiding the need to join and normalize multiple raw feeds yourself. Prefer it over raw data endpoints when the agent needs a regime label (e.g. 'stabilizing_easing') rather than a time series, and when auditability of sources matters. At $0.30 USDC per call, it is best suited for high-value decisions rather than high-frequency polling.
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
{
"type": "json",
"example": {
"raw": null,
"title": "全球宏观跨源合成(中国×欧元区×IMF)",
"inputs": [
"china_macro",
"china_macro"
],
"schema": "intel-l5-2026-08-12",
"derived": {
"euro_regime": {
"gdp": 2983223.5,
"hicp": null,
"value": "low_growth_low_inflation",
"eur_usd": null,
"sources": [
"data/eu_macro:summary"
],
"ecb_rate": null,
"confidence": 0.82,
"unemployment": null,
"transformation": "L5_derive: EU growth+inflation+labour synthesis"
},
"china_regime": {
"cpi": 2.1,
"pmi": 49.2,
"value": "stabilizing_easing",
"lpr_1y": 3,
"sources": [
"data/china_macro:summary"
],
"confidence": 0.85,
"gdp_growth_pct": 4.7,
"transformation": "L5_derive: CN growth+PMI+inflation+LPR synthesis"
},
"global_macro_coverage": {
"value": 8,
"sources": [
"data/imf-macro-global:raw.economies"
],
"confidence": 0.88,
"indicators_ok": 80,
"indicators_err": 0,
"transformation": "L5_derive: IMF multi-economy macro coverage snapshot",
"indicator_count": 10
}
},
"category": "L5跨源派生情报",
"provenance": [
{
"stage": "L5_synthesis",
"sources": [
"china_macro",
"china_macro"
],
"timestamp": "2026-08-11T20:52:50Z",
"confidence": 0.85,
"transformation": "cross_source_synthesis"
}
],
"canonical_id": "l5-global-macro-synthesis",
"synthesis_time": "2026-08-11T20:52:50Z"
}
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