Xovis Api Documentation Apr 2026

The Flow Within

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.

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 drilled into GET /paths for that corridor. xovis api documentation

He set a rule: When main_entrance.counts.in exceeds 200 people in 5 minutes, send an alert to security and trigger a digital sign outside saying "EAST ENTRANCE IS LESS BUSY". The webhook payload was minimal:

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

curl -H "X-API-Key: sk_live_..." \ https://api.xovis.com/v1/counts/total?zone=main_entrance&interval=hour He got back JSON. Clean. Precise. Real . The Flow Within The last line of the

Corporate called it a miracle. Alex called it an API call. One night, Alex checked the GET /occupancy/current endpoint. The mall closed at 9 PM. By 10 PM, occupancy should be zero.

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

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 had learned to see the invisible city

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

{ "zone": "main_entrance", "interval": "2025-03-10T14:00:00Z", "in": 847, "out": 812, "net": 35 } For the first time, he knew exactly how many people were inside. Two weeks later, Alex noticed something strange.

It wasn’t.

Alex didn’t know. He had old infrared beams at entrances that counted shadows, not people. On rainy days, they double-counted umbrellas. On busy Saturdays, they missed families entirely.

Then corporate installed .