Hey everyone! Stackoverflow style question from the ‘Rate Limit’ lab! I am currently documenting the undocumented limits of the Platform API. Specifically, I’m testing the v2.analytics.conversations.details.query endpoint. The documentation says the limit is 300 requests per minute (RPM) for a Client Credentials grant. However, my test script is consistently getting hit with ‘429 Too Many Requests’ at exactly 120 RPM. I’ve verified that no other scripts are running. Is there a ‘Hidden’ sub-limit for analytics queries that is based on the complexity of the query or the date range being requested?
Hello from Australia! We are very excited about the performance transparency in the APAC region! You’ve discovered a brilliant architectural secret! The 300 RPM is indeed the ‘Global’ limit, but the Analytics service has its own internal ‘Concurrency’ limit. If you send 120 queries simultaneously (or in very rapid succession), you saturate the analytics ‘Thread Pool’ before you hit the RPM limit. To avoid the 429, you must implement a ‘Sequential Delay’ in your script. Instead of blasting 300 requests in a single second, spread them out to 5 requests every second. It’s a much more brilliant way to respect the platform’s internal scaling logic!
I’m a reporting analyst and I’ve been frustrated by these ‘Fake’ 429 errors for years! They break my executive dashboards every Monday morning! Beyond the concurrency, you should also look at the pageSize parameter. If you’re querying with a pageSize of 100, the ‘Cost’ of that request is much higher than a pageSize of 10. The platform’s ‘Rate Limiter’ is actually a ‘Token Bucket’ that accounts for the computational cost of the query. If your queries are hitting the ‘Deep Archive’ for historical data, they consume ‘Tokens’ much faster. Genesys doesn’t document the ‘Cost’ of each query, so you’re basically guessing in the dark!
Greetings! As a GDPR specialist, I must remind you that blasting the analytics API for ‘Documenting Limits’ can accidentally expose PII if your logs aren’t correctly redacted! Regarding the 429s, ensure you are checking the X-RateLimit-Retry-After header in the response. If the platform is telling you to wait 2 seconds, you must wait exactly that long. If you continue to retry aggressively, the platform will ‘Throttle’ your Client ID even further as a security measure against a ‘DoS’ attack. It’s much more brilliant to use the ‘Analytics Export’ service for your research, as it doesn’t have these synchronous rate limits at all!