The SDR Data Challenge

The Problem with Raw SDR Data

Publicly reported SDR data is notoriously difficult to operationalize. Market participants face:

• Inconsistent formatting and missing fields across the SDR
• No package identification (Spread, Fly, Curve, etc.)
• No standardized filtering or query capabilities
• Zero value-added analytics or signal extraction
• High engineering cost to normalize and integrate

The SwapData.ai Solution

We transform raw, fragmented SDR filings into a unified, intelligence-grade data layer:

• Package strategy structuring — automated normalization and error correction
• Real-time delivery — low-latency feeds via API or cloud
• Seamless integration — plug into Excel or existing risk, trading, and compliance stacks