US urban activity — 6 major metros
Top drivers
⌁ mcp.call("adw-114") vADW-114-live-1.0 How active are major US metros right now?
US urban activity — 6 major metros
Top drivers
⌁ mcp.call("adw-114") vADW-114-live-1.0 A commercial real-estate intelligence agent queries ADW-114 across its six covered metro composites and, when a city's Urban Activity Pulse score exceeds 70 and shows a rising trend, it automatically triggers a market-opportunity brief — pulling the IOM's top_drivers field to identify whether transit ridership, foot-traffic, or restaurant/venue activity is leading the recovery — and queues the insight for a site-selection analyst workflow. The confidence field gates the action: if confidence falls below 0.75 due to sparse input data for a given week, the agent holds the brief and flags it for human review instead.
A retail-expansion director at a national chain uses ADW-114 to rank their six target metros by weekly activity pulse before committing to lease negotiations; a city sitting at score 65.8 and trending flat signals to hold negotiations, while a rising peer city signals to accelerate. This replaces a patchwork of foot-traffic vendor reports (each covering only some metros, each with a different methodology) with a single standardized, comparable index across markets, cutting the time to produce a metro-ranking brief from two analyst-days to minutes.
composite z-score 0-100
Version ADW-114-live-1.0 · validated to beat a naive baseline · benchmark: n/a
One call returns the answer with its reasoning attached — the live Intelligence Object for ADW-114.
{
"product_id": "ADW-114",
"entity": "US urban activity — 6 major metros",
"score": 65.8,
"trend": "rising",
"confidence": 0.8,
"top_drivers": [
{
"factor": "leading_city:Miami (Miami-Dade County)",
"contribution": 68
},
{
"factor": "lagging_city:Chicago",
"contribution": 47
},
{
"factor": "cross_pillar_positive_pct",
"contribution": 72.2
}
],
"recommended_use": "Track aggregate urban-activity momentum across major US metros. Score 50 = cities at own baselines; >65 = broad above-trend urban activity. Descriptive composite; not a GDP indicator.",
"methodology_version": "ADW-114-live-1.0",
"freshness": "2026-06-27T01:00:14.109Z",
"coverage": "US — 6 cities: Chicago, New York City, Los Angeles, Seattle, San Francisco, Miami (Miami-Dade County)",
"source_lineage": [
"alpine-data city feed (Chicago/NYC/LA/Seattle/SF/Miami — Socrata/ArcGIS city open-data)"
],
"allowed_use": "informational",
"activity_score": 65.8,
"activity_label": "elevated",
"cities_analyzed": 6,
"avg_pulse_score": 58.8,
"pulse_scores": {
"chicago": 47,
"nyc": 62,
"la": 60,
"seattle": 66,
"sf": 50,
"miami": 68
},
"cross_pillar_positive_pct": 72.2,
"feeds_ok_pct": 88.9,
"full_coverage_cities": 5,
"as_of": "2026-04",
"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-114
MCP tool
adw.adw_114
Marketplace
Discoverable by any MCP agent via the MCP registry.
White-label
Embed under your own brand (Platinum).