Xovis Api Documentation Here

{ "zone": "lower_level", "current_occupancy": 3, "timestamp": "2025-12-01T22:00:00Z" } Three people. After hours. In a zone with no security cameras.

And all of it, every number, every trajectory, every alert, came from a simple GET request and a key.

The last line of the Xovis API documentation, which he’d bookmarked, read: “People move. We measure. You decide.” Alex smiled. He had learned to see the invisible city inside the mall—the currents, the eddies, the quiet corners where time stretched or shrank.

It wasn’t.

The response returned an array of trajectories—each a list of coordinates over time.

The Flow Within

When a struggling mall manager discovers the raw data stream from the Xovis people-counting API, he learns that numbers don’t just tell him how many people enter—they whisper secrets, expose lies, and predict the future. Part One: The Blind Manager Alex Kline had managed the Silver Creek Mall for three years. Every month, he reported footfall figures to corporate. Every month, his reports were guesswork. xovis api documentation

No. Behind the pillar was a leading to an old storage area. And inside? A group of teenagers had set up an unlicensed phone repair shop. They were pulling customers away from the official kiosk on the second floor.

And that was its strength. No GDPR nightmares. No privacy lawsuits. Just pure, aggregated truth. A year later, Alex presented to corporate using custom dashboards powered entirely by Xovis API data. He predicted a 14% traffic drop before Christmas due to road construction—and he was right, because the API showed early footfall decay at the south entrance.

He didn’t guess anymore. He read the flow. And all of it, every number, every trajectory,

The Xovis API didn't see faces. But it saw behavior . And behavior never lies. Black Friday approached. Alex configured a webhook —a feature buried deep in the documentation under POST /webhooks/subscriptions .

He called security. They found three individuals in the server room, copying credit card data from a compromised Wi-Fi hotspot.