US-Consumption
Top drivers
⌁ mcp.call("adw-263") vADW-263-live-1.0 Is US personal consumption accelerating?
US-Consumption
Top drivers
⌁ mcp.call("adw-263") vADW-263-live-1.0 A revenue-forecasting agent at a consumer-facing SaaS platform polls ADW-263 (US Consumption Momentum, FRED PCE) monthly. With the score at 73.1 (74th percentile, falling trend), the agent flags that personal consumption is still above its trailing mean but losing momentum, and automatically dials back the top-of-funnel expansion budget by 10% while preserving retention spend — acting before the trend flips negative. The IOM's source_lineage (FRED PCE/BEA) and methodology_version are logged to the platform's decision-audit system for quarterly compliance review.
A chief economist at a mid-market lender uses ADW-263 to calibrate consumer-loan origination volume targets. PCE is the broadest measure of consumer spending but its raw level is uninformative without trend context; ADW-263's score of 73.1 at the 74th percentile — still healthy but with a falling trend — tells the economist that spending momentum is past its peak and provides a quantified basis to recommend modestly tightening credit standards one quarter ahead of what the raw PCE series alone would suggest.
recent vs trailing-mean % deviation, scaled (FRED PCE)
Version ADW-263-live-1.0 · validated to beat a naive baseline · benchmark: single headline print; this normalizes to momentum
One call returns the answer with its reasoning attached — the live Intelligence Object for ADW-263.
{
"product_id": "ADW-263",
"entity": "US-Consumption",
"score": 73.1,
"trend": "rising",
"confidence": 0.6,
"top_drivers": [
{
"factor": "recent_value",
"contribution": 21926.07
},
{
"factor": "trailing_mean",
"contribution": 21430.02
},
{
"factor": "deviation_pct",
"contribution": 0.0231
}
],
"methodology_version": "ADW-263-live-1.0",
"freshness": "2026-06-26T23:00:18.814Z",
"coverage": "US personal consumption expenditures (FRED, monthly)",
"source_lineage": [
"api.stlouisfed.org/fred (PCE)"
],
"allowed_use": "evaluation, commercial",
"competitor_benchmark": "Headline PCE; this normalizes to recent trend",
"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-263
MCP tool
adw.adw_263
Marketplace
Discoverable by any MCP agent via the MCP registry.
White-label
Embed under your own brand (Platinum).
How stressed is US consumer credit right now — rising delinquencies or credit binging?
Method: z_delinq (0.6) + z_revolving_yoy (0.4); both z-scored vs trailing 36-period window → composite z → 0-100 (50=neutral, >50=stress rising)
Enables retailers and brands to time promotions and optimize assortment by quantifying the financial pressure on consumers' discretionary spending.
Method: YoY Core CPI vs YoY Avg Hourly Earnings divergence; z-score vs 36mo trailing window → 0-100 (50=neutral, >50=squeeze rising)
Enables brands to distinguish whether their pricing power stems from emotional aspiration or functional utility to identify and mitigate pricing fragility.
Method: Apparel CPI YoY minus Core CPI YoY spread; z-scored vs 5yr history; mapped 0-100 (50=parity, >50=aspiration premium rising)