📈 Live history is activating for this object — the automated backfill is in progress.
⌁ mcp.call("adw-303") v1.0 What is the cancer incidence risk and national ranking for this county?
📈 Live history is activating for this object — the automated backfill is in progress.
⌁ mcp.call("adw-303") v1.0 ECDF percentile rank of age-adjusted all-sites cancer incidence rate per 100,000 population from USCS (SEER + NPCR), 2019-2023 vintage, across all reporting US counties.
Version 1.0 · validated to beat a naive baseline · benchmark: —
One call returns the answer with its reasoning attached — the live Intelligence Object for ADW-303.
{} Every product conforms to the Intelligence Object Model — typed, versioned, and discoverable.
Dashboard
Read the score + drivers in the console.
REST API
/v1/cancer/{county}
MCP tool
adw.county_cancer
Marketplace
Discoverable by any MCP agent via the MCP registry.
White-label
Embed under your own brand (Platinum).
Enable healthcare administrators to proactively recruit and deploy nursing staff before critical staffing shortages impact patient care and operational costs.
Method: Aggregate real-time admission rates, historical seasonal trends, and local unemployment data to generate a predictive shortage risk score for specific units; apply time-series forecasting to identify
Enables employers and insurers to proactively deploy mental health interventions and telehealth resources to employees in regions experiencing seasonal light deprivation.
Method: Aggregates local solar irradiance and daylight duration data to calculate a seasonal deficit score, which is then mapped against historical mental health utilization trends to predict risk levels.
How healthy is the US population?
Method: composite z-score 0-100