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API Request Planner

Plan API demand before release by listing endpoints, expected users, action frequency, cache rate, and limits.

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API capacity workspace

Estimate traffic, then plan endpoints

Size total requests and cost first, then refine peak RPS, limits, caching, and priorities per endpoint.

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API Request Planner

Plan API demand before release by listing endpoints, expected users, action frequency, cache rate, and limits.

Calculations run in the browser. Confirm assumptions with production logs and provider limits before launch.

Endpoint plan

API Request Planner

Plan API demand before release by listing endpoints, expected users, action frequency, cache rate, and limits.

2 tools

Launch readiness

Ready to test

Status

Endpoints 3 · Highest limit usage 33.3%

Monthly calls

14,438,400

Origin calls

6,326,400

Total peak RPS

77.63 RPS

Highest limit usage

33.3%

Quick examples

Pick a service type to fill realistic sample endpoints and traffic assumptions.

Peak calls/min

4,658

Suggested limit/min

6,288

Headroom left

66.7%

Calls saved by cache

8,112,000

Monthly transfer

165.23 GB

Concurrency usage

16.3%

Endpoint plan

Add each API endpoint as a row. The planner calculates monthly calls, origin calls, peak RPS, rate-limit usage, and what to check first.

Capacity details

Set active hours, response size, P95 latency, and the concurrency limit.

tune

Monthly transfer

142.82 GB

Peak concurrency

8.17

Concurrency usage

16.3%

Monthly

12,480,000

Origin

4,368,000

Peak RPS

66.67

Limit usage

33.3%

Next stepMonitor after launch

Capacity details

Set active hours, response size, P95 latency, and the concurrency limit.

tune

Monthly transfer

17.58 GB

Peak concurrency

2.59

Concurrency usage

5.2%

Monthly

1,536,000

Origin

1,536,000

Peak RPS

7.41

Limit usage

14.8%

Next stepReview retries and idempotency

Capacity details

Set active hours, response size, P95 latency, and the concurrency limit.

tune

Monthly transfer

4.83 GB

Peak concurrency

1.24

Concurrency usage

2.5%

Monthly

422,400

Origin

422,400

Peak RPS

3.56

Limit usage

23.7%

Next stepReview retries and idempotency

Capacity details

POST /api/orders23.7%
GET /api/products33.3%
POST /api/cart/items14.8%

Pre-launch checklist

Minimum checks before load testing.

  • Confirm provider limits per minute and per second.
  • Separate cacheable read APIs from write, order, or payment APIs.
  • Add idempotency keys to important write APIs.
  • Use retry caps and exponential backoff.
  • Set alerts around 70-80% of expected peak usage.

How to use the API request plan

Total traffic is useful, but launch risk usually hides in one or two endpoints. This planner ranks APIs by peak usage, priority, cache behavior, and write risk so the team knows what to cache, throttle, batch, or review first.

Usage notes

  • Monthly calls = users x daily actions per user x calls per action x active days.
  • Origin calls = monthly calls x (1 - cache hit rate).
  • Peak RPS = monthly calls / active seconds x peak multiplier.
  • Limit usage = peak RPS / allowed RPS.

Frequently asked questions

Is this the same as an API cost estimator?expand_more

No. This planner focuses on endpoint capacity, bottlenecks, owners, and launch readiness. Use it before cost work or load testing.

What should I put in peak multiplier?expand_more

Use 3-5x for normal apps and 6-10x for launches, campaigns, notifications, or traffic concentrated in work hours.

Why include cache rate?expand_more

Cache rate separates total gateway traffic from origin load. A GET endpoint with high volume may become safe once cached well.

Recommended order

  1. 1Estimate monthly traffic and peak demand.
  2. 2Break traffic down by endpoint and behavior.
  3. 3Check limits, caching, and retry policy against real logs.

Why estimation and planning belong together

A total request count alone hides endpoint spikes, while an endpoint list alone misses overall cost. This workflow connects both views.

Result workspace

Save this result, compare previous runs, or share a report.

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