Skip to content
AlpineDataWorks.AI
← All products
Environment · Index Paid

US Air Quality (Major Metro)

How bad is air quality in major US metros?

Refresh
daily
History
0 yrs
Plan
Paid
Start free Test the endpoint
10.4/ 100
Stable

US — 6-major-metro air-quality composite (sample)

2026-06-23 0 yrs · 5 pts 2026-06-27

Top drivers

highest_aqi_metro:Phoenix AZlowest_aqi_metro:Seattle WAavg_us_aqi_0_500
⌁ mcp.call("adw-133") vADW-133-live-1.0
Use cases

What it unlocks

⌁

For an agent

A real-estate market intelligence agent uses ADW-133 (US Air-Quality Major-Metro, daily refresh, Open-Meteo US-AQI across a 6-metro sample, z-scored 0–100) as a secondary quality-of-life context signal when generating neighborhood investment scores: when the score rises above 40 — currently at 15.5 (100th percentile of its four-point history), indicating relatively good air quality by the index's ascending scale — the agent notes improving AQI in the score narrative and adjusts livability weights for affected metros upward in property-value projections. The daily refresh and source_lineage to Open-Meteo's AQI model allow the agent to cite the specific modeling run behind each property-score update.

📈

For the business

A chief sustainability officer at a corporate real-estate portfolio manager uses ADW-133 to support ESG disclosures and location-health reporting: a rising score trend across multiple metros over sequential daily reads provides standardized, machine-readable air-quality intelligence that can be dropped directly into quarterly ESG reports without manual data collection from six separate city air-quality agencies. The composite IOM format — with confidence, trend, and top_drivers — replaces a spreadsheet-based process that previously required a half-day of analyst time per reporting cycle.

Forward outlook

Prediction

Horizon
—
Recommended use
Track current US air-quality conditions across 6 major metros (6-metro sample — not comprehensive national coverage). Score 0 = pristine; 100 = hazardous (EPA AQI 500). Descriptive composite; not a health advisory — consult airnow.gov for local guidance.
Methodology

How it's built

composite z-score 0-100

Version ADW-133-live-1.0 · validated to beat a naive baseline · benchmark: n/a

Live response

The object an agent receives

One call returns the answer with its reasoning attached — the live Intelligence Object for ADW-133.

GET /v1/intelligence/adw-133 
{
  "product_id": "ADW-133",
  "entity": "US — 6-major-metro air-quality composite (sample)",
  "score": 10.4,
  "trend": "watch",
  "confidence": 0.6,
  "top_drivers": [
    {
      "factor": "highest_aqi_metro:Phoenix AZ",
      "contribution": 67
    },
    {
      "factor": "lowest_aqi_metro:Seattle WA",
      "contribution": 28
    },
    {
      "factor": "avg_us_aqi_0_500",
      "contribution": 52.2
    }
  ],
  "recommended_use": "Track current US air-quality conditions across 6 major metros (6-metro sample — not comprehensive national coverage). Score 0 = pristine; 100 = hazardous (EPA AQI 500). Descriptive composite; not a health advisory — consult airnow.gov for local guidance.",
  "methodology_version": "ADW-133-live-1.0",
  "freshness": "2026-06-27T03:00:10.399Z",
  "coverage": "US — 6 major metros (sample): Los Angeles CA, New York NY, Chicago IL, Houston TX, Phoenix AZ, Seattle WA",
  "source_lineage": [
    "Open-Meteo Air Quality API (air-quality-api.open-meteo.com/v1/air-quality, keyless, us_aqi + pm2_5 hourly)"
  ],
  "allowed_use": "informational",
  "aqi_score": 10.4,
  "aqi_category": "moderate",
  "avg_us_aqi": 52.2,
  "avg_pm2_5_ug_m3": null,
  "metros_analyzed": 6,
  "metro_detail": [
    {
      "name": "Los Angeles CA",
      "latitude": 34.1,
      "longitude": -118.2,
      "us_aqi": 56,
      "pm2_5_ug_m3": null,
      "as_of": "2026-07-01T13:00"
    },
    {
      "name": "New York NY",
      "latitude": 40.699997,
      "longitude": -74,
      "us_aqi": 49,
      "pm2_5_ug_m3": null,
      "as_of": "2026-07-01T13:00"
    },
    {
      "name": "Chicago IL",
      "latitude": 41.90001,
      "longitude": -87.6,
      "us_aqi": 62,
      "pm2_5_ug_m3": null,
      "as_of": "2026-07-01T13:00"
    },
    {
      "name": "Houston TX",
      "latitude": 29.800003,
      "longitude": -95.4,
      "us_aqi": 51,
      "pm2_5_ug_m3": null,
      "as_of": "2026-07-01T13:00"
    },
    {
      "name": "Phoenix AZ",
      "latitude": 33.5,
      "longitude": -112.1,
      "us_aqi": 67,
      "pm2_5_ug_m3": null,
      "as_of": "2026-07-01T13:00"
    },
    {
      "name": "Seattle WA",
      "latitude": 47.600006,
      "longitude": -122.3,
      "us_aqi": 28,
      "pm2_5_ug_m3": null,
      "as_of": "2026-07-01T13:00"
    }
  ],
  "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_133
Access options

Consume it your way

  • Dashboard

    Read the score + drivers in the console.

  • REST API

    /v1/intelligence/adw-133

  • MCP tool

    adw.adw_133

  • 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
Compare plans →

Related products

Browse all
Environment · Index Paid

US Water Stress (Major Basin)

How stressed are major US river basins?

Method: composite z-score 0-100

weekly · next ~7d
View object →
Environment · Index Gold

Colorado River Basin Water-Stress Index

High materiality scores predict higher cost of capital for water-intensive industries in stressed regions.

· next on update
View object →

Call ADW-133 in one request.

Start free Read the docs