> ## Documentation Index
> Fetch the complete documentation index at: https://docs.rotastellar.com/llms.txt
> Use this file to discover all available pages before exploring further.

# List Presets

> List available workload presets with metadata

<Note>
  **Base URL:** `https://rotastellar-cae.subhadip-mitra.workers.dev`
  — No API key required.
</Note>

## Request

No parameters.

<RequestExample>
  ```bash cURL theme={null}
  curl https://rotastellar-cae.subhadip-mitra.workers.dev/v1/presets \
    -H "Origin: https://rotastellar.com"
  ```

  ```python Python theme={null}
  import requests

  response = requests.get(
      "https://rotastellar-cae.subhadip-mitra.workers.dev/v1/presets",
      headers={"Origin": "https://rotastellar.com"}
  )

  for preset in response.json()["presets"]:
      print(f"{preset['id']}: {preset['steps']} steps, {preset['data_flow']['overall_reduction']} reduction")
  ```
</RequestExample>

<ResponseExample>
  ```json Response theme={null}
  {
    "presets": [
      {
        "id": "onboard-ml-inference",
        "name": "On-Board ML Inference",
        "description": "Run ML inference on-board to achieve 190:1 data reduction before downlink...",
        "category": "ml-inference",
        "steps": 4,
        "onboard_steps": 4,
        "ground_steps": 0,
        "total_compute_s": 170,
        "data_flow": {
          "initial_capture_mb": 2000,
          "final_output_mb": 10.5,
          "overall_reduction": "190:1"
        },
        "needs_downlink": true,
        "needs_uplink": false,
        "security": {
          "encryption": "aes256",
          "data_classification": "restricted",
          "allowed_ground_stations": null,
          "require_authenticated_uplink": true,
          "key_rotation_orbits": 24
        },
        "policy": {
          "objective": "min_latency",
          "deadline_orbits": 3,
          "max_data_loss_fraction": 0.001,
          "min_delivery_confidence": 0.99
        }
      }
    ],
    "count": 5
  }
  ```
</ResponseExample>