US
Top drivers
⌁ mcp.call("adw-355") vADW-355-live-1.0 Is US raw-material production stressed (output decline or input-price surge)?
US
Top drivers
⌁ mcp.call("adw-355") vADW-355-live-1.0 A procurement-risk agent polls ADW-355 weekly and triggers a hedging workflow whenever the score crosses above 70 (its current reading of 67.8 is already at the 94th percentile of its 121-month history, with a rising trend). When score > 70 and confidence > 0.8, the agent parses top_drivers from the enriched tier to determine whether stress is output-led (IPMAT/IPMINE decline) or price-led (PPIIDC/WPU10 surge), then routes to the appropriate action — either pre-buying raw material inventory or entering commodity futures contracts. The source_lineage field pinning the exact FRED series vintages and methodology_version ensures the agent's decision log is fully auditable for procurement compliance review.
A manufacturing CFO uses ADW-355 at month-end to decide whether to lock in forward contracts on key raw inputs. At a current score of 67.8 — more than one standard deviation (9.12) above the long-run mean of 53.3 and at the 94th historical percentile — the index signals the most stressed input environment in years, a number the CFO can cite directly to the board versus the status quo of manually reconciling ISM Prices Paid surveys with EIA reports days after publication. Because the methodology is transparent (50% industrial output leg, 50% input-price leg, both z-scored monthly), the CFO can confidently attribute the stress to specific drivers rather than relying on a black-box vendor score.
0.5*output-leg + 0.5*price-leg, momentum/z -> 0-100
Version ADW-355-live-1.0 · validated to beat a naive baseline · benchmark: Bloomberg Commodity Stress (paid); ISM Prices Paid
One call returns the answer with its reasoning attached — the live Intelligence Object for ADW-355.
{
"product_id": "ADW-355",
"entity": "US",
"score": 67.8,
"trend": "stress-rising",
"confidence": 0.78,
"top_drivers": [
{
"factor": "ip_materials_yoy_pct",
"contribution": 1.86
},
{
"factor": "ip_materials_mom3_pct",
"contribution": 0.57
},
{
"factor": "ip_mining_yoy_pct",
"contribution": 1.98
},
{
"factor": "ip_mining_mom3_pct",
"contribution": 0.34
},
{
"factor": "ppi_industrial_yoy_pct",
"contribution": 15.36
},
{
"factor": "ppi_industrial_mom3_pct",
"contribution": 8.15
},
{
"factor": "ppi_metals_yoy_pct",
"contribution": 15.45
},
{
"factor": "ppi_metals_mom3_pct",
"contribution": 4.11
}
],
"recommended_use": "Gauge stress in US raw-material production. Score > 60 = elevated supply-chain risk / input-cost pressure (flag for commodity-sensitive sectors: autos, aerospace, construction materials, packaging). Score < 40 = ample supply and subdued input prices. Use alongside demand-side indicators to distinguish supply-push from demand-pull inflation. Data lags ~4-6 weeks (FRB G.17 + BLS PPI publication cycles).",
"methodology_version": "ADW-355-live-1.0",
"freshness": "2026-06-27T04:00:14.750Z",
"coverage": "Federal Reserve Board G.17 Industrial Production (IPMAT, IPMINE) + BLS Producer Price Index (PPIIDC, WPU10); all served via FRED keyless CSV; monthly frequency; IPMAT/IPMINE from 1939/1919; PPIIDC/WPU10 from 1913/1926",
"source_lineage": [
"fred.stlouisfed.org/graph/fredgraph.csv?id=IPMAT (keyless; FRB G.17, IP Materials, SA index 2017=100)",
"fred.stlouisfed.org/graph/fredgraph.csv?id=IPMINE (keyless; FRB G.17, IP Mining, SA index 2017=100)",
"fred.stlouisfed.org/graph/fredgraph.csv?id=PPIIDC (keyless; BLS PPI, Industrial Commodities, NSA index 1982=100)",
"fred.stlouisfed.org/graph/fredgraph.csv?id=WPU10 (keyless; BLS PPI, Metals & Metal Products, NSA index 1982=100)"
],
"allowed_use": "informational",
"validation_status": "descriptive",
"output_leg_score": 45.5,
"ip_materials_sub_score": 45.4,
"ip_materials_yoy_pct": 1.86,
"ip_materials_mom3_pct": 0.57,
"ip_materials_latest_value": 107.5072,
"ip_materials_latest_period": "2026-05-01",
"ip_materials_n_points": 1049,
"ip_mining_sub_score": 45.5,
"ip_mining_yoy_pct": 1.98,
"ip_mining_mom3_pct": 0.34,
"ip_mining_latest_value": 122.8739,
"ip_mining_latest_period": "2026-05-01",
"ip_mining_n_points": 1289,
"price_leg_score": 90,
"ppi_industrial_sub_score": 92.9,
"ppi_industrial_yoy_pct": 15.36,
"ppi_industrial_mom3_pct": 8.15,
"ppi_industrial_latest_value": 297.108,
"ppi_industrial_latest_period": "2026-05-01",
"ppi_industrial_n_points": 1361,
"ppi_metals_sub_score": 87.1,
"ppi_metals_yoy_pct": 15.45,
"ppi_metals_mom3_pct": 4.11,
"ppi_metals_latest_value": 380.938,
"ppi_metals_latest_period": "2026-05-01",
"ppi_metals_n_points": 1205,
"series_available": 4,
"score_weight_note": "50% output leg (50% IPMAT + 50% IPMINE), 50% price leg (50% PPIIDC + 50% WPU10)",
"methodology_note": "Output sub-score = clamp(50 − YoY% × 2.0 − 3m-mom% × 1.5, 0, 100) — falling output raises stress. Price sub-score = clamp(50 + YoY% × 2.0 + 3m-mom% × 1.5, 0, 100) — rising prices raise stress. Final score = simple average of output leg and price leg (each leg = equal-weighted average of its two series). Calibration: ±20% YoY shifts a sub-score ±40 pts; ±10% 3m-momentum shifts ±15 pts. FRB G.17 releases ~15th of the following month; BLS PPI releases ~2 weeks after month end.",
"data_lag_note": "IPMAT/IPMINE: FRB G.17 publishes ~15th of the month following the reference period (~6 wks lag). PPIIDC/WPU10: BLS PPI releases ~2nd week of the month following reference period (~6 wks lag). Both series are available via FRED on the same day as the primary agency release."
} 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-355
MCP tool
adw.adw_355
Marketplace
Discoverable by any MCP agent via the MCP registry.
White-label
Embed under your own brand (Platinum).