Top Endpoints by Traffic

GET /v1/traffic/top-endpoints

Endpoints (tunnels) ranked by traffic volume in the chosen window. Used in the dashboard to surface "which apps are getting hit?" without manually clicking through each endpoint. Ranks by request count by default; switch via the metric parameter. Aggregated across the active account.

Query parameters

metric string
Rank-by metric: requests (default) or bytes. Any other value returns 400.
limit int
How many to return. Default 10, max 100.
days int
Look-back window in days. Default 7, max 365.

Response (200 OK)

metric, days string / int
Resolved rank-by metric and look-back window (echo).
endpoints array
Endpoints (tunnels) in rank order. Each: {id, name, type, public_url, status, subdomain, domain, total_requests, total_bytes, success_requests, error_requests, success_rate, error_rate, avg_response_time, last_request_at}. success_rate / error_rate are percentages (0–100).

Errors

400 Bad Request
Invalid metric (must be requests or bytes).
401 Unauthorized
Missing auth.
Request — top 5 by bytes
curl "https://api.ngris.com/v1/traffic/top-endpoints?limit=5&metric=bytes" \ -H "X-API-KEY: <your_api_key>"
Python
from ngris import Ngris client = Ngris(api_key="<your_api_key>") top = client._get_raw("/traffic/top-endpoints", params={"limit": 5}) for ep in top["endpoints"]: print(f"{ep['name']:<20} {ep['total_requests']:>8} req {ep['error_rate']:.2f}%")
Response — 200 OK
{ "metric": "requests", "days": 7, "endpoints": [ {"id": 12, "name": "myapp", "type": "http", "public_url": "myapp.example.com", "status": "active", "subdomain": "myapp", "domain": "example.com", "total_requests": 12340, "total_bytes": 8888888, "success_requests": 12337, "error_requests": 3, "success_rate": 99.98, "error_rate": 0.02, "avg_response_time": 47.2, "last_request_at": "2026-04-29T12:58:03Z"}, {"id": 18, "name": "api", "type": "http", "public_url": "api.example.com", "status": "active", "subdomain": "api", "domain": "example.com", "total_requests": 9870, "total_bytes": 4444444, "success_requests": 9858, "error_requests": 12, "success_rate": 99.88, "error_rate": 0.12, "avg_response_time": 61.8, "last_request_at": "2026-04-29T12:59:41Z"} ] }
Iris