BatteryArb is designed around the real teams who need interval-level battery intelligence: operators who must dispatch, VPP / EMS teams that must automate, and traders who need researchable, programmable market signals.
Use interval pricing, outage signals, and congestion warnings to improve charge/discharge timing.
Normalize multi-market data and plug signals into orchestration, fleet software, and internal tooling.
Generate interval-level battery signals, inspect raw output, and test bid/offer ideas before live rollout.
Each path is designed to create a clear commercial decision, not just technical curiosity.
Compare current dispatch logic to outage-aware and congestion-aware posture recommendations.
Wire the API into a small internal service, notebook, or EMS workflow and validate operational fit.
Review similar-day analogs and bid/offer simulation before policy changes affect live operations.
The point is not to outdo your best senior operator in every interval. The point is to make the whole team operate with more of that context, more consistently, every five minutes.
BatteryArb compresses outage posture, congestion warnings, price drift, and forecast confidence into a tighter operating view so junior and mid-level operators spend less time inferring regime by hand.
The simulator and edge endpoints are built around five-minute recalibration, so your workflow can react to real-time changes instead of locking in a static threshold for the whole operating window.
Typical pilots are evaluated against goals such as 2-8% dispatch margin lift, 5-15% fewer avoidable bad intervals, or faster operator and analyst decision cycles versus the existing baseline.
Use a demo when you need cross-functional alignment. Use a pilot when you already know the workflow to validate.