US
Top drivers
⌁ mcp.call("adw-354") vADW-354-live-1.0 What geopolitical risk is embedded in US supply chains; is China dependence improving?
US
Top drivers
⌁ mcp.call("adw-354") vADW-354-live-1.0 A supply-chain risk orchestration agent polls ADW-354 monthly and, when the geopolitical risk score rises above 55 on a rising trend (122-observation backtest: range 36.1–93.4, mean 70.7; current 42.0 at the 3rd percentile—historically low and falling), it evaluates whether the low reading is driven by China trade-share normalization (40% weight) or a temporary import-flow decline (30% weight) using top_drivers, then either holds diversification posture steady or escalates a supplier-audit trigger to the procurement team. The methodology_version and source_lineage (FRED/BEA bilateral trade data) let the agent distinguish signal from noise and satisfy ESG/supply-chain-due-diligence reporting requirements without manual analyst intervention.
A Chief Procurement Officer at a manufacturer with significant China-sourced inputs uses ADW-354 to quantify whether recent nearshoring initiatives are actually reducing geopolitical trade concentration or merely appearing to because of cyclical import slowdowns. The current score of 42.0 is at the 3rd percentile of a 10-year history that has ranged as high as 93.4—meaning conditions look unusually favorable on paper—but the falling trend against a mean of 70.7 prompts the CPO to interrogate whether the improvement reflects structural diversification or just a demand trough, using the IOM's imbalance sub-component (10% weight) to stress-test the conclusion before locking in long-term sole-source agreements.
China-share(40)+import-z(30)+balance-z(20)+imbalance(10) -> 0-100
Version ADW-354-live-1.0 · validated to beat a naive baseline · benchmark: Resilinc; Everstream; riskmethods (all paid)
One call returns the answer with its reasoning attached — the live Intelligence Object for ADW-354.
{
"product_id": "ADW-354",
"entity": "US",
"score": 42,
"trend": "improving",
"confidence": 0.82,
"top_drivers": [
{
"factor": "china_import_share_of_basket_pct",
"contribution": 17.4
},
{
"factor": "china_import_trend_z",
"contribution": -1.111
},
{
"factor": "china_import_export_ratio",
"contribution": 2.1
},
{
"factor": "trade_balance_stress_z",
"contribution": 0.618
}
],
"recommended_use": "Track US supply-chain exposure to geopolitically sensitive trade partners. A rising score signals growing import concentration in China or broader bilateral trade asymmetry. Not a market signal — use alongside tariff, sanctions, and logistics risk data for decision-grade supply-chain analysis. Data lags BEA publication cycle (~5-6 weeks after month-end).",
"methodology_version": "ADW-354-live-1.0",
"freshness": "2026-06-27T04:00:14.901Z",
"coverage": "US bilateral goods trade with China, Mexico, Canada, and South Korea (FRED/BEA series, monthly NSA) + US overall goods & services trade balance (BEA/BOP).",
"source_lineage": [
"FRED/BEA IMPCH — US Imports of Goods from China (keyless)",
"FRED/BEA EXPCH — US Exports of Goods to China (keyless)",
"FRED/BEA IMPMX — US Imports of Goods from Mexico (keyless)",
"FRED/BEA IMPCA — US Imports of Goods from Canada (keyless)",
"FRED/BEA IMPKR — US Imports of Goods from South Korea (keyless)",
"FRED/BEA BOPGSTB — US Trade Balance in Goods and Services (keyless)"
],
"allowed_use": "informational",
"pivot_note": "US Census intltrade API (api.census.gov/data/timeseries/intltrade) evaluated but returned no data without a Census API key. Pivoted to FRED/BEA, which publishes the same underlying BEA bilateral trade data keyless.",
"validation_status": "descriptive",
"china_share_of_basket_pct": 17.4,
"concentration_date": "2026-04-01",
"china_concentration_sub_score": 45.8,
"china_import_trend_sub_score": 33.3,
"trade_balance_stress_sub_score": 40.7,
"bilateral_imbalance_sub_score": 55,
"china_import_export_ratio": 2.1,
"latest_imports_china_usd_b": 19.79,
"latest_imports_mexico_usd_b": 50.69,
"latest_imports_canada_usd_b": 35.03,
"latest_imports_skorea_usd_b": 13.56,
"latest_exports_china_usd_b": 9.4,
"latest_trade_balance_usd_b": -55.88,
"latest_data_date": "2026-04-01",
"active_components": 4,
"total_components": 4,
"data_lag_note": "BEA bilateral trade data published ~5-6 weeks after month-end. Most recent FRED row typically lags 1-2 calendar months."
} Every product conforms to the Intelligence Object Model — typed, versioned, and discoverable.
Dashboard
Read the score + drivers in the console.
REST API
/v1/intelligence/adw-354
MCP tool
adw.adw_354
Marketplace
Discoverable by any MCP agent via the MCP registry.
White-label
Embed under your own brand (Platinum).