Built for DER connectivity, not stack replacement.

Derapi helps manufacturers, DERMS platforms, VPP operators, and energy software teams connect to distributed energy assets through secure, manufacturer-sanctioned APIs.

Derapi vs. Other Energy Operations Platforms

Derapi is the interoperability layer that helps your existing systems connect to DERs and programs at scale. Once connected, we service, train, and maintain these connections to ensure success moving forward.

How Derapi compares

Energy Operations Orgs

Primary focus

Energy operations platform

Best fit

Teams looking for a broader software layer

Role in your stack

Moves up into operations, workflows, and reporting

Device access

Platform-led connectivity

Flexibility

More platform-dependent

Primary focus

​DER connectivity and interoperability

Best fit

​Teams that want to keep their stack and connect more DERs

Role in your stack

​Sits underneath your stack as secure infrastructure

Device access

​Manufacturer-sanctioned API access

Flexibility

​Built to support your existing and future systems, partners, and customers

Why teams choose Derapi

Reduce integration drag

Avoid one-off builds for every device, program, or partner.

Keep your stack

Connect DERs without replacing the systems you already use.

Access trusted APIs

Use manufacturer-sanctioned integrations designed for reliability and scale.

Support more use cases

Connect distributed energy assets to the platforms and workflows that power DERMS, VPPs, utilities, and grid services.

Provide your customers with more options

Help manufacturers and asset owners make their devices available for VPPs, utility programs, demand response, and grid services.

Choose Derapi when connectivity is the bottleneck.

If fragmented APIs, limited device access, inconsistent telemetry, or custom integrations are slowing you down, Derapi helps clear the path.

Submit the form to connect with a member of our team and learn more.

See how Derapi can help your team access more DERs, reduce integration complexity, and scale programs without replacing your existing stack.

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