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Lynx is a simulation orchestration platform by Tetryx. It runs large-scale Monte Carlo studies across a pool of distributed runners, tracks every job from submission to completion, and exposes a simple HTTP API for submitting work and reading results.

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How it works

You submit a batch of simulation runs to the Lynx API. Lynx distributes those runs across your runner pool. Each runner picks up jobs, executes your simulation, and reports results back. You poll the API for status and retrieve results when complete.

Submit

POST /jobs with your simulation config and run count. Lynx generates the parameter samples and queues the jobs.

Execute

Your runners pick up jobs from the queue, run your simulation, and report results.

Collect

Poll batch or job status via the API. Fetch results when jobs reach a terminal state.

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Base URL

https://api.lynx.tetryx.io

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Key concepts

TermMeaning
batchA submitted collection of jobs — one Monte Carlo study
jobOne individual simulation run within a batch
runnerA worker process you deploy that picks up and executes jobs

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What is available today

  • Submit Monte Carlo batches via POST /jobs
  • Inspect batch and job status via the read APIs
  • Manage your runner pool: inspect, drain, and resume runners
  • Retry handling: failed jobs are automatically retried up to max_retries
The following features are planned but not yet available:
  • Sessions (long-lived interactive workloads)
  • Artifact retrieval APIs
  • API authentication (currently unauthenticated)

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Get started

Quickstart

Submit your first batch and verify job results in minutes.

Runners

Learn how to deploy and manage your runner pool.

Jobs and Batches

Understand the job and batch model.

API Reference

Full HTTP API reference.