US — 6-major-metro air-quality composite (sample)
Top drivers
⌁ mcp.call("adw-133") vADW-133-live-1.0 How bad is air quality in major US metros?
US — 6-major-metro air-quality composite (sample)
Top drivers
⌁ mcp.call("adw-133") vADW-133-live-1.0 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.
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.
composite z-score 0-100
Version ADW-133-live-1.0 · validated to beat a naive baseline · benchmark: n/a