Request-based pricing explained: how to estimate requests and avoid surprises
Request-based pricing looks simple until retries, fan-out, and peak traffic show up. This hub connects the main estimation workflows and tools so your model survives real production traffic.
1) Convert traffic to monthly requests
- Start from RPS (average and peak) and convert to monthly requests.
- Keep units explicit: per 10k vs per 1M is a common order-of-magnitude error.
- Tool: RPS to monthly requests
2) Model retries and spikes separately
- Retry storms can multiply request volume 5x to 50x during incidents.
- Bot traffic can create request spikes that dominate WAF/API/CDN bills.
- Hub: security costs
3) Include payload and transfer when relevant
- Requests correlate with bandwidth; large payloads amplify egress and logging.
- Tool: response size transfer
Related tools
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Related calculators
RPS to Monthly Requests Calculator
Estimate monthly request volume from RPS, hours/day, and utilization.
API Request Cost Calculator
Estimate request-based charges from monthly requests and $ per million.
CDN Request Cost Calculator
Estimate CDN request fees from monthly requests and $ per 10k/1M pricing.
FAQ
What services are request-priced?
Many edge and API products: API gateways, CDNs, WAFs, serverless invocations, and some messaging services. The unit varies by provider (per 10k, per 1M, per 100k).
How do I estimate quickly?
Convert RPS to monthly requests, then model retries separately. For fan-out systems (messaging), estimate deliveries per message and multiply.
What breaks estimates?
Retry storms, bot traffic, and unit mistakes (per 10k vs per 1M). Also, average RPS can hide spikes that dominate cost on bursty workloads.
Last updated: 2026-01-22