Quick sanity check on the API usage here. I’m building a real-time dashboard for our Tokyo ops team that needs to show exactly which agents are currently on a call, in wrap-up, or available.
I’ve been using GET /api/v2/conversations/voice because it feels like the ‘source of truth’ for active connections. The response includes the participant details and the current state. However, my colleague mentioned we should be using GET /api/v2/analytics/conversations/summary with a time window of the last 5 minutes.
The thing is, the analytics endpoint feels sluggish for real-time updates. It aggregates data. If an agent goes on call at 10:00:05, the analytics summary might not reflect that change immediately, or it lumps it into a bucket. I need second-by-second accuracy for the UI.
Here is the payload I’m getting from the conversations endpoint:
{
"entities": [
{
"id": "conv-123",
"type": "voice",
"participants": [
{
"id": "part-456",
"userId": "user-789",
"state": "connected",
"direction": "outbound"
}
]
}
]
}
This is clean and direct. But I read somewhere that conversations API is heavy on the server if you poll it too often. Is there a hard rate limit I’m missing? Or is the analytics endpoint just fundamentally different in purpose?
We’re using the Node.js SDK. The conversationsApi methods seem straightforward but the analyticsApi methods require more setup with the time window and group by clauses. If I just want to know ‘is user X on a call right now’, does the analytics API even make sense? It feels like overkill to query a summary report for a single boolean state check.
Also, the analytics endpoint returns a lot of nulls if there’s no data for a specific interval. Handling that in the frontend is annoying. The conversations endpoint just returns an empty array if no matches are found. Much easier to parse.
Am I overthinking the polling frequency? We’re polling every 2 seconds. Is that going to get us throttled? The docs are vague on the exact limits for the conversations endpoint compared to analytics.
Any insights on the best practice here? I’d rather not hit a rate limit during peak hours.