60.4/ 100
Rising
US-Autos
2016-06-01 10.1 yrs · 122 pts 2026-06-26
Top drivers
recent_valuetrailing_meandeviation_pct
⌁ mcp.call("adw-264") vADW-264-live-1.0 ← All products
Consumer/Autos · Index Gold
US Vehicle-Sales Momentum
Is US auto demand accelerating or slowing?
- Refresh
- monthly
- History
- 10.1 yrs
- Plan
- Gold
Use cases
What it unlocks
⌁
For an agent
An automotive supply-chain agent monitors ADW-264 (US Vehicle-Sales Momentum, FRED TOTALSA) monthly. The score is currently 60.4 at the 68th percentile, but the trend has turned 'falling' from a peak above 70. When the agent detects this falling-trend condition with score still above 55, it flags a 'late-cycle caution' state and automatically reduces forward inventory build recommendations by one tier, preventing the over-stocking that historically accompanies auto-cycle peaks. Source_lineage (FRED TOTALSA/BEA) and methodology_version make the recommendation reproducible for OEM partner audit.
📈
For the business
A VP of Sales Planning at an auto components manufacturer uses ADW-264 to align production scheduling with end-market demand. Rather than tracking raw SAAR figures that require manual seasonal adjustment and context, the current score of 60.4 at the 68th percentile — with a falling trend — immediately signals that vehicle demand is above its long-run norm but decelerating, justifying a conservative stance on Q3 production commitments and avoiding the costly schedule changes that come from late recognition of a turning cycle.
Forward outlook
Prediction
- Horizon
- —
- Recommended use
- Is US auto demand accelerating or slowing?
Methodology
How it's built
recent vs trailing-mean % deviation, scaled (FRED TOTALSA)
FRED (St. Louis Fed)
Version ADW-264-live-1.0 · validated to beat a naive baseline · benchmark: single headline print; this normalizes to momentum
Live response
The object an agent receives
One call returns the answer with its reasoning attached — the live Intelligence Object for ADW-264.
GET /v1/intelligence/adw-264
{
"product_id": "ADW-264",
"entity": "US-Autos",
"score": 60.4,
"trend": "rising",
"confidence": 0.6,
"top_drivers": [
{
"factor": "recent_value",
"contribution": 16.48
},
{
"factor": "trailing_mean",
"contribution": 16.31
},
{
"factor": "deviation_pct",
"contribution": 0.0104
}
],
"methodology_version": "ADW-264-live-1.0",
"freshness": "2026-06-26T23:00:13.872Z",
"coverage": "US total vehicle sales, SAAR (FRED, monthly)",
"source_lineage": [
"api.stlouisfed.org/fred (TOTALSA)"
],
"allowed_use": "evaluation, commercial",
"competitor_benchmark": "Headline SAAR; auto-demand momentum",
"validation_status": "descriptive"
} IOM schema
The agent-callable contract
Every product conforms to the Intelligence Object Model — typed, versioned, and discoverable.
- product_id
- entity
- score
- trend
- confidence
- top_drivers
- prediction_horizon
- recommended_use
- methodology_version
- freshness
- coverage
- source_lineage
- allowed_use
MCP tool: adw.adw_264
Access options
Consume it your way
-
Dashboard
Read the score + drivers in the console.
-
REST API
/v1/intelligence/adw-264
-
MCP tool
adw.adw_264
-
Marketplace
Discoverable by any MCP agent via the MCP registry.
-
White-label
Embed under your own brand (Platinum).
Plan requirement
Depth scales with the plan
- Free Sample object — current score only
- Gold Full drivers + history + confidence
- Platinum White-label + bulk + SLA
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