FAQ

Can I send data from multiple sources to OpenClaw in a single data flow?

Yes. A Coupler.io data flow can contain multiple sources, and you can use transformations like Join or Aggregate to combine them before sending to OpenClaw. This is useful if you want to analyze, say, sales data plus customer attributes plus support tickets all in one conversation.

How often should I sync data to OpenClaw?

It depends on your use case. If you need real-time or daily insights, schedule your data flow to run daily or even hourly. For weekly or monthly reporting, a weekly or monthly schedule makes sense. You can adjust the schedule anytime in Coupler.io — just make sure your first manual run completes successfully before enabling the schedule.

Can I preview my data before it goes to OpenClaw?

Yes. In your Coupler.io data flow, use the "Data set" step in the data flow setup wizard to see a preview of what data will be sent. This is especially useful before your first run — catch any formatting or type issues in advance so your OpenClaw analysis is clean and accurate from the start.

What's the best way to prepare my data for OpenClaw analysis?

Clean your data before syncing: remove duplicate rows, standardize date and number formats, and give your columns clear, descriptive names ("Customer Name" instead of "CN"). The better your source data, the better OpenClaw's conversational analysis will be. Also consider filtering out unnecessary columns — if a column won't help you answer business questions, leave it out.

Can I use OpenClaw with scheduled data flows, or only manual runs?

You can use both. Your first run must be manual and successful, but after that you can schedule automatic syncs on any interval you choose — daily, weekly, monthly, or even hourly. Set the schedule in your data flow settings, and Coupler.io will push fresh data to OpenClaw on your timeline.