## Retrieve an AutoScientist run

**get** `/api/v1/autoscientist/{experiment_id}`

Retrieve an AutoScientist run

### Path Parameters

- `experiment_id: string`

### Returns

- `AutoscientistRun = object { id, completed_at, created_at, 9 more }`

  - `id: string`

    AutoScientist run id.

  - `completed_at: unknown`

  - `created_at: string`

  - `dataset_id: unknown`

    Public id of the dataset the run trained on.

  - `download_available: boolean`

    True when the best trained artifact can be downloaded.

  - `iterations_completed: number`

    Number of completed iterations.

  - `max_iterations: number`

    Resolved maximum number of iterations, including the model-specific default.

  - `model: unknown`

    Resolved base model id used, including an automatically selected model.

  - `status: "pending" or "running" or "succeeded" or 2 more`

    - `"pending"`

    - `"running"`

    - `"succeeded"`

    - `"failed"`

    - `"cancelled"`

  - `target_win_rate: number`

    Resolved target win rate for the AutoScientist loop, including the model-specific default.

  - `best_win_rate: optional unknown`

    Best win rate achieved so far.

  - `error: optional unknown`

    Reserved; not populated for autoscientist runs in this version.

### Example

```http
curl https://api.prod.adaptionlabs.ai/api/v1/autoscientist/$EXPERIMENT_ID \
    -H "Authorization: Bearer $ADAPTION_API_KEY"
```

#### Response

```json
{
  "id": "id",
  "completed_at": {},
  "created_at": "2019-12-27T18:11:19.117Z",
  "dataset_id": {},
  "download_available": true,
  "iterations_completed": 0,
  "max_iterations": 0,
  "model": {},
  "status": "pending",
  "target_win_rate": 0,
  "best_win_rate": {},
  "error": {}
}
```