WattShift now maintains an internal utility rate database designed to improve coverage, speed, and reliability for teams building rate-aware energy products.
Built for
DER software, device platforms, and adjacent energy apps
So teams can
Ship optimization, pricing UX, forecasting, and savings reporting
Rate intelligence layer
From tariff inputs to app-ready API outputs
Sources
Tariff schedules and riders
We work from the actual tariff documents and rate filings utilities take to public utility commissions for public rates.
Validation
Real utility bills
Real bills help us validate that normalized rate logic matches what a device or customer actually sees over time.
Outputs
Price signals and cost modeling
The normalized output powers forward-looking price signals and cost estimates through the API.
What You Can Build With It
The database matters because it unlocks product behavior, not because it exists. This section keeps the focus on what developers can ship with it.
Use case 1
Drive charging, load shifting, or device operation toward lower-cost hours without hand-maintaining utility tariff logic.
Use case 2
Convert energy usage and device schedules into customer-facing cost signals that feel concrete and actionable.
Use case 3
Estimate how equipment will perform financially across changing utility rates before and after deployment.
Use case 4
Support savings reports with rate-aware comparisons that reflect when energy was used, not just how much.
Announcement
WattShift now maintains an internal utility rate database built from utility tariff documents and validated against real utility bills, so software teams can access cleaner, faster rate intelligence through API workflows.
How The Data Is Built
This is the proof layer. It should build trust quickly, then get out of the way so teams can decide whether the API fits their product.
Tariff schedules
Riders and revisions
Real utility bills
Convergence
We ingest tariff schedules, riders, and other public rate filings utilities take to public utility commissions, then run AI-assisted normalization that is validated against real utility bills before it reaches product and API workflows.
High-quality price signal
Use the API to see when energy is cheap, when it is expensive, and how that signal evolves across the next 36 to 72 hours for optimization and pricing UX.
Cost modeling outputs
Estimate annual system cost and understand how much it costs to operate a device over time under local rates.
Why Developers Care
This section converts the pipeline story back into product outcomes teams can feel in implementation, forecasting, and reporting.
Reduce manual tariff wrangling inside product development workflows
Ship optimization and pricing features faster
Generate more defensible operating cost forecasts
Turn usage changes into cleaner savings documentation
API Access
Start with the developer docs if you already know what you want to build, or book a call if your team wants help evaluating fit and coverage.
Need plan details before you integrate? See pricing.
Self-serve path
Start with the docs
Explore the API flow first if your team already knows how it wants to integrate rate data into product logic.
Get the APIGuided path
Talk through fit and coverage
Book time with the team if you want help mapping the API to optimization, forecasting, pricing, or savings workflows.
Book a callReady To Build
Access the API directly, or book a call if your team wants to evaluate integration fit before wiring it into product workflows.