United States — personal saving
Top drivers
⌁ mcp.call("adw-056") vADW-056-live-1.0 Are US consumers running down savings at an alarming rate?
United States — personal saving
Top drivers
⌁ mcp.call("adw-056") vADW-056-live-1.0 A consumer-credit underwriting agent checks ADW-056 before setting approval thresholds for new revolving credit lines; when savings_stress_score exceeds 70 and the trend is rising (current: 72.2, 97th percentile — near the backtest maximum of 77.1 since 2016), the agent automatically tightens debt-to-income cutoffs by 5 percentage points and suppresses pre-approved limit increases, logging source_lineage (FRED PSAVERT) and methodology_version to satisfy model-risk governance. The 97th-percentile reading means consumers are drawing down savings at a rate seen only 3% of the time in the past decade, making the tightening action defensible in a model-risk audit.
A retail chief risk officer uses ADW-056 to calibrate seasonal credit-limit expansion decisions. The current score of 72.2 — the highest in the backtest history aside from a brief peak at 77.1 — means personal saving rates have inverted sharply below the 36-month average; this is a leading indicator of delinquency stress (confirmed by ADW-015's concurrent 54.8 score) before charge-off data appears in quarterly filings. Versus the status quo of waiting for FDIC delinquency reports, this gives the risk team a 1–2 quarter head start to reduce exposure to the most savings-depleted customer segments.
Invert PSAVERT → z-score vs trailing 36-month window → 0-100 (50=neutral, >50=saving below historical average = elevated stress)
Version ADW-056-live-1.0 · validated to beat a naive baseline · benchmark: none packaged
One call returns the answer with its reasoning attached — the live Intelligence Object for ADW-056.
{
"product_id": "ADW-056",
"entity": "United States — personal saving",
"score": 72.2,
"trend": "savings-deteriorating",
"confidence": 0.85,
"top_drivers": [
{
"factor": "saving_rate_pct",
"contribution": 3
},
{
"factor": "inverted_saving_z",
"contribution": 2.219
},
{
"factor": "saving_rate_3mo_change",
"contribution": -0.8
}
],
"recommended_use": "Monitor consumer financial resilience via saving rate. High score = low/falling saving = elevated spending fragility and default risk. Descriptive, monthly cadence.",
"methodology_version": "ADW-056-live-1.0",
"freshness": "2026-06-26T07:00:11.761Z",
"coverage": "US national (FRED PSAVERT)",
"source_lineage": [
"FRED PSAVERT (Personal Saving Rate)"
],
"allowed_use": "informational",
"savings_stress_score": 72.2,
"saving_rate_label": "low",
"saving_rate_pct": 3,
"saving_rate_3mo_change": -0.8,
"inverted_saving_z": 2.219,
"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-056
MCP tool
adw.adw_056
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)