curl --request GET \
--url https://api.pandaprobe.com/traces/analytics \
--header 'Authorization: Bearer <token>'[
{
"bucket": "<string>",
"trace_count": 0,
"error_count": 0,
"avg_latency_ms": 123,
"p50_latency_ms": 123,
"p90_latency_ms": 123,
"p99_latency_ms": 123
}
]Time-series analytics for traces.
Auth: Bearer + X-Project-ID | X-API-Key + X-Project-Name
curl --request GET \
--url https://api.pandaprobe.com/traces/analytics \
--header 'Authorization: Bearer <token>'[
{
"bucket": "<string>",
"trace_count": 0,
"error_count": 0,
"avg_latency_ms": 123,
"p50_latency_ms": 123,
"p90_latency_ms": 123,
"p99_latency_ms": 123
}
]Bearer authentication header of the form Bearer <token>, where <token> is your auth token.
Available metric types for the analytics endpoint.
volume, errors, latency, cost, tokens, models Time-bucket granularity for analytics queries.
hour, day, week Successful Response
Time-bucketed trace volume, error, and latency statistics.