US-Retail
Top drivers
⌁ mcp.call("adw-256") vADW-256-live-1.0 Is US consumer retail spending accelerating?
US-Retail
Top drivers
⌁ mcp.call("adw-256") vADW-256-live-1.0 A consumer-demand forecasting agent polls ADW-256 (US Retail-Sales Momentum, sourced from FRED RSAFS) after each monthly Census release. When the momentum_score crosses above 75 — currently at 76.3, the 80th percentile of its 10-year range — and trend is confirmed 'rising', the agent automatically increases inventory replenishment orders and raises revenue-guidance inputs for the next quarter. The source_lineage field (FRED/Census) and methodology_version ensure the agent is acting on a normalized deviation-from-trailing-mean signal rather than a raw seasonal print, making automated position changes auditable.
A retail CFO preparing monthly board forecasts historically had to manually contextualize each Census retail-sales headline against seasonal norms and recent trend — a process taking hours of analyst time. ADW-256 delivers a single 0-100 momentum score (currently 76.3, 80th percentile historically) with trend direction, letting the CFO immediately see that consumer spending is running meaningfully above its own trailing baseline, not just a one-month beat — providing a cleaner basis for comp guidance than the raw YoY print alone.
recent vs trailing-mean % deviation, scaled (FRED RSAFS)
Version ADW-256-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-256.
{
"product_id": "ADW-256",
"entity": "US-Retail",
"score": 76.3,
"trend": "rising",
"confidence": 0.6,
"top_drivers": [
{
"factor": "recent_value",
"contribution": 758251.33
},
{
"factor": "trailing_mean",
"contribution": 738806.08
},
{
"factor": "deviation_pct",
"contribution": 0.0263
}
],
"methodology_version": "ADW-256-live-1.0",
"freshness": "2026-06-26T22:00:17.690Z",
"coverage": "US advance retail sales (FRED, monthly)",
"source_lineage": [
"api.stlouisfed.org/fred (RSAFS)"
],
"allowed_use": "evaluation, commercial",
"competitor_benchmark": "Headline retail print; this is trailing-mean momentum",
"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-256
MCP tool
adw.adw_256
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)