DROP API vs. Manual Processing
Both approaches can work. The right choice depends on record volume, cycle frequency, system count, and how much manual handling your team can sustain every 45 days.
| Consideration | Manual processing | Official DROP API |
|---|---|---|
| Setup effort | Low — process and spreadsheets | Higher — engineering integration |
| Per-cycle effort | Recurring and staff-dependent | Largely automated |
| Error profile | Human handling and transcription risk | Systematic; errors repeat until fixed |
| Scale | Degrades as volume grows | Scales with volume |
| Evidence | Manual capture, easy to omit | Loggable by design |
| Best fit | Low volume, few systems, early stage | Higher volume, several systems, ongoing operations |
Many teams begin manually to learn the workflow, then automate once the standardization specification is stable. Automating an unvalidated specification simply scales the mismatch.
Whichever route you choose, log inputs, outputs, and timing per cycle. Evidence is easier to design in than to reconstruct later.
This page describes CA DROP Broker's operational reading of publicly available California materials. Verify current requirements against official CalPrivacy sources and with qualified counsel.