Every question you have on the data we'll collect. Answered.
Your marketing team found a project they want. Here’s how the data is built, how it reaches your systems, and how we handle security and rights.
Every value comes with its proof.
Before we collect anything, we agree on what one row means and write the fields down. That schema stays the same for the whole project. Your pipelines don’t break because we changed something.
Want to test it in your own tools first? You get sample rows and the agreed field list before the full run.
Delivery
It arrives where your team already works.
Pick one, or a few. A full file every time, or only what changed. Your call.
Files
CSV, Excel, JSON or Google Sheets. Sent, or shared in a folder.
API
Pull records from the Panoramata API, on your own schedule.
MCP
Ask questions about the dataset from Claude, ChatGPT or your own agents.
Your workspace
Assets show up in Panoramata, next to the brands you already track.
Quality
How we check, before you have to.
01
Sample first
You approve real rows from your sources before the full run starts.
02
“Good” is written down
Required fields, expected coverage, what counts as a gap. Agreed in the scope, before we collect.
03
Checks on every run
Row counts against the last delivery, empty fields, duplicates, sources that stopped answering.
04
Reviewed before delivery
We review every delivery before it leaves. Nothing goes out unchecked.
05
A coverage note with every file
What we found, what wasn’t there, and why. Gaps are marked, never filled in.
