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The Last Mile of Data: How API-Driven Platforms Are Changing the Game

Explore how private equity firms are using APIs to integrate hedge data into enterprise systems and unlock new value.

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Chris Renaud
Chief Technology Officer
How API-Driven Platforms Are Changing the Game

Private capital firms are becoming data companies—whether they realize it or not. 

As investment platforms scale across funds, geographies, and asset types, data infrastructure has become a strategic priority. Yet for many sponsors, a critical pain point remains unsolved: getting timely, accurate hedging data from external providers into internal systems. 

It’s not that the data doesn’t exist. It’s that it doesn’t move easily. That’s the “last mile” problem—and it’s increasingly defining the effectiveness of risk and treasury functions in private credit. 

The Integration Gap 

Traditional hedge advisory firms deliver results—term sheets, confirmations, and valuations—but rarely in a way that supports automation or integration. Sponsors are left downloading PDFs, exporting CSVs, or manually keying in trade details to internal dashboards, treasury tools, or fund accounting systems. 

The result: 

  • Data latency between execution and reporting. 
  • Increased operational risk due to manual inputs. 
  • Fragmented views of portfolio risk across systems. 
  • Inability to scale reporting across funds or to LPs. 

In short, friction. 

Why APIs Matter 

An API (Application Programming Interface) may sound technical, but for sponsors, it represents one thing: control. APIs allow you to pull trade data, valuations, and exposure metrics directly into your data lake, reporting engine, or performance dashboards—without the swivel chair. 

At Derivative Path, we’ve seen top-tier firms like KKR unlock real value by integrating hedge data through our open API framework. The benefits are immediate: 

  • Reduce time-to-insight from hours to seconds. 
  • Automate exposure reporting at the portfolio or fund level. 
  • Create custom analytics without waiting on vendor files. 
  • Improve accuracy for investor reporting and audit workflows. 

From Static to Dynamic Infrastructure 

A key challenge in sponsor operations is building technology that keeps up with the speed of capital deployment. The moment a deal closes, risk positions emerge. Waiting 24–48 hours for updated hedge data slows internal analysis, delays compliance workflows, and limits real-time response to rate or FX market shifts. 

By decoupling data extraction from data delivery, and enabling firms to choose how and when they access hedge data (via API, flat file, or streaming architecture), Derivative Path is re-architecting how sponsors operate. Our aim isn’t just to provide better data—but to make that data actionable inside your existing systems. 

The New Standard: Data Portability 

The future of sponsor operations is system-agnostic. Risk data shouldn’t live in a siloed vendor portal. It should move where you need it to go—automatically, securely, and in real time. 

If your current platform can’t push data into your ecosystem, it’s not built for the modern sponsor. It’s built for yesterday’s hedge desk. 

Conclusion: Own the Last Mile 

API-enabled infrastructure is no longer a luxury—it’s a requirement. In the race to scale, firms that solve the last mile of hedge data integration will outperform those still downloading PDFs and building pivot tables. 

Control your data. Don’t let your systems control you. 

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Chris Renaud

Christopher Renaud is the Chief Technology Officer at Derivative Path, where he leads the development of innovative financial technology solutions. With expertise in commercial debt management, mortgage-backed securities, and enterprise solutions, he has co-founded multiple fintech startups, including Monetics, which was acquired by Derivative Path. Previously, he held leadership roles at Natixis, guiding enterprise technology initiatives. A passionate technologist, Chris excels at building high-performing teams and driving transformation through innovation. He holds a degree in Computer Engineering from Conestoga College.

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