United States — wages & core prices
Top drivers
⌁ mcp.call("adw-037") vADW-037-live-1.0 How elevated is the feedback loop between wage growth and consumer price inflation right now?
United States — wages & core prices
Top drivers
⌁ mcp.call("adw-037") vADW-037-live-1.0 A fixed-income portfolio management agent polls ADW-037 monthly and uses the spiral_risk_score to gate duration decisions: when the score exceeds 55 (the 65th percentile of its 36-month history) with a rising trend, the agent shortens portfolio duration by shifting weight from 10-year to 2-year Treasuries, on the thesis that a wage-price feedback loop raises the probability of additional Fed tightening. The current score of 36.5 sits at only the 8th percentile — the lowest spiral-risk reading in the 10-year backtest range of 31.9 to 71.0 — so the agent holds current duration and flags the falling trend as a signal that the wage-CPI feedback loop is breaking, a green light for extending duration cautiously. The IOM's wages_z and cpi_z fields let the agent determine whether the deceleration is wage-led or CPI-led, which matters for whether to buy nominal or inflation-linked bonds.
A Chief Investment Officer at a pension fund uses ADW-037 monthly to supplement the Fed's Beige Book and employment reports with a single composite spiral-risk number that quantifies the reinforcing relationship between Avg Hourly Earnings YoY and Core CPI YoY — exactly the feedback the Fed has stated it monitors most closely for over-tightening risk. At the current 8th-percentile reading with a falling trend, the CIO has a defensible, data-backed basis for increasing allocation to longer-duration bonds, replacing a narrative judgment ('inflation seems to be cooling') with a reproducible IOM whose source_lineage and methodology_version can be shared directly with the investment committee and auditors.
YoY Avg Hourly Earnings + YoY Core CPI; equal-weight z-scores vs 36mo trailing window → 0-100 (50=neutral, >50=spiral-risk rising)
Version ADW-037-live-1.0 · validated to beat a naive baseline · benchmark: none
One call returns the answer with its reasoning attached — the live Intelligence Object for ADW-037.
{
"product_id": "ADW-037",
"entity": "United States — wages & core prices",
"score": 36.5,
"trend": "easing",
"confidence": 0.84,
"top_drivers": [
{
"factor": "wages_yoy_pct",
"contribution": 3.45
},
{
"factor": "core_cpi_yoy_pct",
"contribution": 2.96
},
{
"factor": "composite_z",
"contribution": -1.355
}
],
"recommended_use": "Monitor wage-price feedback loop. High score = wages and prices co-accelerating; flag stagflation and margin-compression risk. Descriptive, monthly lag.",
"methodology_version": "ADW-037-live-1.0",
"freshness": "2026-06-27T06:00:13.710Z",
"coverage": "US national (FRED CES0500000003 + CPILFESL)",
"source_lineage": [
"FRED CES0500000003 (Avg Hourly Earnings)",
"FRED CPILFESL (Core CPI)"
],
"allowed_use": "informational",
"spiral_risk_score": 36.5,
"spiral_risk_label": "low",
"wages_yoy_pct": 3.45,
"core_cpi_yoy_pct": 2.96,
"wages_z": -1.964,
"cpi_z": -0.745,
"composite_z": -1.355,
"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-037
MCP tool
adw.adw_037
Marketplace
Discoverable by any MCP agent via the MCP registry.
White-label
Embed under your own brand (Platinum).
How tight is the US labor market — are there meaningfully more job openings than unemployed workers?
Method: JOLTS openings ÷ unemployed ratio; z-score vs 36mo trailing window × 15 → 0-100 (50=neutral, >50=tight)
Is nonfarm business productivity outpacing unit labor cost growth — or is the cost squeeze tightening?
Method: OPHNFB level z-score minus ULCNFB level z-score; composite vs 36-quarter trailing window → 0-100 (>50=productivity leading)
How tight is the US labor market right now, and tightening or loosening?
Method: openings/unemployed ratio normalized 0-100 (0.30 floor=2020 trough, 2.00 ceil=2022 peak)