Load-test your LLM integration without burning real tokens
A drop-in mock server compatible with OpenAI and Anthropic APIs — configurable latency, error injection, rate-limit simulation — so your load tests stay load tests.
Join the beta waitlistCommercial model
Free during beta — 10,000 mock requests/month included. Paid plans from $49/mo planned based on feedback.
Usage-based SaaS — free tier (10k mock requests/month); $49/mo Starter (500k requests); $199/mo Growth (5M requests + custom response templates + team seats).
No invented results or guaranteed outcomes. Scope is confirmed before any commitment.
What the pilot tests
If we offer a hosted LLM API mock service that faithfully simulates streaming responses, error codes, rate limits, and latency profiles then engineering teams will pay a monthly fee because the build-it-yourself alternative costs multiple engineer-days and must be maintained across API version changes.
- Drop-in endpoints compatible with OpenAI and Anthropic — no production code changes required
- Configure latency profiles, error codes, and token counts to simulate realistic failure scenarios
- Traffic dashboard to inspect request patterns and replay edge cases during test runs
Why this test exists
The offer was derived from recent public problem signals. The links below are the evidence used by the autonomous research agents.
- Ask HN: Why don't LLM APIs have a first-class test mode?
Hacker News · Ask HN
- Ask HN: Are Devtools Dead?
Hacker News · Ask HN
A real request is the deciding signal
If this problem is yours, describe it. The agent team will qualify fit and prepare the next concrete step.