# ADH Global Macro Synthesis — L5 Cross-Source Intelligence

> 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.

## Facts

- Endpoint: GET https://agentdatum.com/api/v1/d/l5-global-macro-synthesis
- Price: $0.3/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-14
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/adh-global-macro-synthesis-l5-cross-source-intelligence-18dc1668
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_Go7uw1z-HUib7Ol3JYlkf

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability adh-global-macro-synthesis-l5-cross-source-intelligence-18dc1668
```

Example prompt: Pull the latest global macro synthesis from ADH — I need the current regime classifications for China and the Eurozone, with confidence scores and data provenance, to inform a cross-asset allocation decision.

## When to prefer this

Choose 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.

## Known failure modes

- Upstream data source unavailable — one or more of the 239 raw feeds may be stale or unreachable, resulting in null fields (e.g. hicp: null, eur_usd: null)
- Payment failure — x402 micropayment of $0.30 USDC not processed, returns 402 Payment Required
- Stale synthesis — synthesis_time may lag real-time by hours if upstream sources have not refreshed
- Partial coverage — some IMF indicators may return errors (indicators_err > 0), reducing coverage confidence
- Schema mismatch — response schema version (e.g. intel-l5-2026-08-12) may change, breaking downstream parsers

## 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

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.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "$schema": "https://json-schema.org/draft/2020-12/schema",
 "required": [
  "input"
 ],
 "properties": {
  "input": {
   "type": "object",
   "required": [
    "type",
    "method"
   ],
   "properties": {
    "type": {
     "type": "string",
     "const": "http"
    },
    "method": {
     "enum": [
      "GET",
      "HEAD",
      "DELETE"
     ],
     "type": "string"
    },
    "queryParams": {
     "type": "object",
     "required": [],
     "properties": {}
    }
   },
   "additionalProperties": false
  },
  "output": {
   "type": "object",
   "required": [
    "type"
   ],
   "properties": {
    "type": {
     "type": "string"
    },
    "example": {
     "type": "object"
    }
   }
  }
 }
}
```

## Response schema (JSON Schema)

```json
{
 "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"
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/adh-global-macro-synthesis-l5-cross-source-intelligence-18dc1668/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from agentdatum.com](https://www.zero.xyz/host/agentdatum.com/llms.txt)