Built on the same validated modelling engine as EarthScan, the API combines CMIP6, CORDEX, and Bayesian inference to deliver asset-level hazard, exposure, and financial risk data you can trust, ready to feed directly into valuation models, underwriting engines, or ESG dashboards.

Retrieve exactly the data you need, by hazard, scenario, time horizon, percentile, or return period, and automate regulatory and stress-testing workflows (CSRD, IFRS S2, or TCFD), with parameters that align to your internal models.

Estimate potential losses for flood and wind using built-in CvAR or define your own thresholds based on asset characteristics like floors, materials, or occupancy, integrating physical climate data directly into financial risk, insurance pricing, and investment models.

Each call retrieves one signal, but the API integrates seamlessly with scripts, pipelines, or ETLs, enabling portfolio-wide analysis or multi-client delivery with zero manual effort.

Receive clean, structured JSON or CSV outputs that connect instantly with databases, GIS tools, dashboards, or risk systems, embedding climate intelligence into the tools your teams already use.

Includes sandbox access, production environments, detailed documentation, and enterprise-grade SLAs, allowing teams to prototype integrations quickly and deploy confidently across production systems or client platforms.

Start small and scale on demand with usage-based pricing that fits your workload. Deploy pilots or proof-of-concepts quickly, then expand to portfolio-wide automation as needs grow.

Already powering insurers, investors, and consultancies worldwide to automate physical climate risk analysis, fuel internal dashboards, and generate audit-ready metrics for regulatory reporting.