US supply chain (port, inventory, GSCPI composite)
Top drivers
⌁ mcp.call("adw-113") vADW-113-live-1.0 How stressed is the global supply chain?
US supply chain (port, inventory, GSCPI composite)
Top drivers
⌁ mcp.call("adw-113") vADW-113-live-1.0 A procurement-monitoring agent polls ADW-113 weekly and, when the composite z-score stress index rises above 65 (indicating supply-chain conditions in the upper third of observed stress, per the GSCPI + inventory-ratio + port-momentum composite), it automatically drafts a re-order acceleration memo, flags open purchase orders for expedite review, and pins the source_lineage (GSCPI, inventory ratios, port data) alongside methodology_version to the alert — so the downstream ERP integration can cite an auditable, versioned signal rather than an analyst's ad-hoc judgment. The agent stands down when the score retreats below 50, avoiding noise from transient spikes.
A VP of Supply Chain at a mid-market manufacturer tracks ADW-113's weekly score (current reading: 59.6 — moderate-to-elevated stress, at the 100th percentile of its short live history) alongside their own lead-time dashboards; when the score trends rising, they front-load safety-stock for the top-five SKUs before spot-freight rates spike, replacing a reactive posture that previously cost 8-12% premium freight surcharges per disruption event. Unlike subscribing to multiple freight-index feeds and manually normalizing GSCPI, they get a single 0-100 decision signal refreshed every week.
composite z-score 0-100
Version ADW-113-live-1.0 · validated to beat a naive baseline · benchmark: n/a
One call returns the answer with its reasoning attached — the live Intelligence Object for ADW-113.
{
"product_id": "ADW-113",
"entity": "US supply chain (port, inventory, GSCPI composite)",
"score": 59.6,
"trend": "stress-rising",
"confidence": 0.83,
"top_drivers": [
{
"factor": "gscpi_z_score",
"contribution": 3.532
},
{
"factor": "inventory_ratio_z_score",
"contribution": -3.029
},
{
"factor": "port_import_3mo_change_pct",
"contribution": 5.79
}
],
"recommended_use": "Track current US supply-chain stress across logistics, inventory, and global pressure vectors. Descriptive composite; not a demand-forecast signal.",
"methodology_version": "ADW-113-live-1.0",
"freshness": "2026-06-27T01:00:14.115Z",
"coverage": "US national — LA port TEU, FRED ISRATIO, NY Fed GSCPI",
"source_lineage": [
"alpine-data supplies feed (LA port TEU, FRED ISRATIO, NY Fed GSCPI)"
],
"allowed_use": "informational",
"stress_score": 59.6,
"stress_level": "high",
"gscpi_latest": 1.769,
"gscpi_z_score": 3.532,
"gscpi_as_of": "2026-05-31",
"inventory_ratio_latest": 1.31,
"inventory_ratio_z_score": -3.029,
"inventory_as_of": "2026-04-01",
"port_loaded_imports_latest": 449370,
"port_loaded_imports_3mo_change_pct": 5.79,
"port_as_of": "2026-05",
"gscpi_leg_score": 85.3,
"inventory_leg_score": 28.8,
"port_leg_score": 41.3,
"validation_status": "descriptive"
} 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-113
MCP tool
adw.adw_113
Marketplace
Discoverable by any MCP agent via the MCP registry.
White-label
Embed under your own brand (Platinum).
How stressed are global supply chains?
Method: Normalize freight indices + GSCPI z-score → 0-100
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