Analytics API 429 Rate Limiting on /api/v2/analytics/interactions/summary with High-Frequency Polling

Developing a real-time dashboard for a premium AppFoundry integration, the application requires frequent polling of the Analytics API to display live interaction metrics. The endpoint in question is GET /api/v2/analytics/interactions/summary.

Despite implementing standard exponential backoff and respecting the documented rate limits, the application consistently receives 429 Too Many Requests responses during peak hours. The request headers include the correct X-Genesys-Client-Id and valid OAuth tokens for a multi-tenant environment. The frequency is set to 15-second intervals per tenant, which should theoretically fall within the limits for a Premium app tier.

Has anyone encountered specific throttling behaviors for Analytics endpoints that differ from the standard Platform API limits? The error payload does not provide a Retry-After header, making it difficult to implement dynamic backoff. Checking if there are undocumented per-tenant limits or if the X-Genesys-Client-Id header is being ignored in the rate-limiting logic for analytics-specific endpoints. Any insights into optimizing this or alternative approaches for high-frequency data retrieval would be appreciated.

The 429 errors usually hit because the summary endpoint aggregates real-time data. High-frequency polling triggers strict throttling. Try switching to WebSocket streams for live metrics. It reduces API calls significantly. JMeter tests show WebSocket handles concurrent connections better than REST polling. Check the rate limit headers for reset times.