📈 Live history is activating for this object — the automated backfill is in progress.
⌁ mcp.call("adw-030") v1.0 Enable organizations to prioritize and allocate capital expenditure for climate resilience projects based on quantified physical risk exposure.
📈 Live history is activating for this object — the automated backfill is in progress.
⌁ mcp.call("adw-030") v1.0 Aggregate geospatial hazard data (flood, fire, heat) with asset location and value inputs to calculate a risk-adjusted return on investment score for each potential adaptation intervention.
Version 1.0 · validated to beat a naive baseline · benchmark: none
One call returns the answer with its reasoning attached — the live Intelligence Object for ADW-030.
{} 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-030
MCP tool
adw.adw_030
Marketplace
Discoverable by any MCP agent via the MCP registry.
White-label
Embed under your own brand (Platinum).
Are US climate-disaster costs trending above historical norms?
Method: z-score of latest annual cost vs full 1980-present history → clamp(50 + z×15, 0, 100)
How heavy is the current US severe-weather alert load?
Method: Severity-weighted (Extreme4/Severe3/Moderate2/Minor1) active-alert sum, scaled
Is river-discharge building toward flood risk on the US Gulf Coast?
Method: Peak-vs-current 7d river-discharge ratio, scaled