Know your API's limits before your users hit them
Simulate thousands of concurrent API consumers with realistic request distributions, authentication, and dynamic payloads.
Challenges you face
Unknown throughput ceiling
You don't know how many requests per second your API can handle before latency degrades or errors start.
Untested authentication paths
Token refresh, OAuth flows, and session management add latency that never gets measured under load.
Endpoint-level blind spots
Load is applied uniformly, but in production some endpoints are hit 100x more than others.
How perfscale helps
REST, GraphQL & gRPC
Test any HTTP-based API. Parameterise headers, bodies, and query strings per virtual user.
Dynamic scripting
Use k6 or Locust to write realistic user flows: authenticate, read data, mutate state, verify responses.
Rate limiting validation
Test that your rate limiter behaves correctly at 1x, 2x, and 10x expected load.
Error scenario testing
Inject bad payloads, expired tokens, and malformed requests to validate error handling under load.
Continuous contract testing
Run API load tests on every deploy to catch regressions in response time and error rate.
Per-endpoint metrics
Break down p95 latency and error rate by endpoint to pinpoint exactly where bottlenecks occur.
What you get
- Supports REST, GraphQL, gRPC, and WebSocket
- Parameterise requests with real data sets
- Simulate authenticated user sessions
- Measure cold-start vs warm-cache performance
- Validate rate limiting and throttling behaviour
- Test pagination and cursor-based endpoints
- Catch N+1 query regressions under load
- Export results for API SLA documentation
Find your API's breaking point before launch
Set up your first API load test in minutes — no infrastructure required.
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