Risk Data Standardization Achieved via New API Protocol

Insurers and brokers have demonstrated a standardized data exchange model, signaling a shift toward interoperable risk infrastructure.

Updated on Oct. 5, 2026 in Economic Indicators

Isometric editorial illustration showing a brass bridge connecting two concrete blocks, representing standardized data exchange in the insurance industry.
The Open Risk Data Association has successfully demonstrated a new API protocol designed to standardize property risk information across insurance industry systems. AI Illustration. Upload story photo >

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The Open Risk Data Association successfully completed a proof-of-concept test using a new API to standardize property risk information. Three market participants demonstrated the ability to share location, geocoding, and insured values across distinct systems.

Why it matters

Standardized data exchange aims to eliminate the ambiguity and manual reconciliation that currently plague complex insurance placements. For operators, this creates a more consistent view of exposures, which is a prerequisite for advanced risk modeling and AI deployment.

Three market participants successfully tested the Open Risk Data Association API to exchange property risk data. The pilot replaces fragmented communication with a standardized interface while leaving current underlying infrastructure in place.

The players

Open Risk Data Association

A non-profit initiative focused on standardizing how corporates, brokers, and insurers share and interpret risk data.

Swiss Re Corporate Solutions

A global commercial insurance provider that participated in the proof of concept through its Risk Data and Services platform.

The details

The ORDA API functions by connecting existing corporate and brokerage systems to a common interface, allowing them to pass data without a full platform overhaul. By standardizing fields like geocoding and insured values, firms can reduce the data cleaning steps typically required for underwriting and risk engineering. This operational efficiency is intended to minimize discrepancies in exposure mapping across the insurance value chain.

Timeline

  1. October 5, 2026: The proof of concept was showcased at the GVNW Symposium in Germany.

Market Landscape

The insurance industry has long struggled with fragmented risk data that requires constant manual translation between brokers and underwriters. This initiative marks a departure from that pattern by prioritizing infrastructure-agnostic APIs to facilitate seamless data liquidity.

Operators in insurance-heavy sectors should monitor whether their carriers or brokers begin adopting standardized API protocols to reduce reporting overhead. Over time, expect improved data quality and speed in underwriting decisions as standardized risk profiles become the market norm.

The takeaway

The move toward standardized risk exchange signals an eventual end to manually intensive data entry for commercial policy placements. Review your current risk reporting workflows to identify which manual segments are most susceptible to disruption by automated, API-first alternatives.

Further reading

For broader analysis on systemic shifts in risk management, see our Economic Indicators section.

Source note: This article includes information reported by Commercial Risk.

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Do you believe companies should prioritize standardized digital tools to improve their risk management decisions?