unsandbox.com

Execute code immediately and wait for results. Best for quick scripts and interactive use.

Request Parameters

Example (Dart)

Formatted no files in 0.01 seconds.

Response (Success)

{
  "success": true,
  "stdout": "Hello from unsandbox!\n",
  "stderr": "",
  "exit_code": 0,
  "language": "python",
  "job_id": "a1b2c3d4-e5f6-7890-abcd-ef1234567890",
  "artifacts": [],
  "execution_mode": "pooled",
  "network_mode": "zerotrust",
  "total_time_ms": 523
}

Response (Error)

{
  "success": false,
  "stdout": "",
  "stderr": "SyntaxError: invalid syntax\n",
  "exit_code": 1,
  "language": "python",
  "job_id": "b2c3d4e5-f6a7-8901-bcde-f23456789012",
  "artifacts": [],
  "execution_mode": "pooled",
  "network_mode": "zerotrust",
  "total_time_ms": 312
}

Submit code for execution and receive a job ID to poll for results. Best for long-running scripts or when you need to decouple submission from execution.

Request Parameters

Example (Dart)

Formatted no files in 0.01 seconds.

Initial Response

{
  "job_id": "job_1234567890_abc",
  "status": "pending"
}

Check the status and results of an asynchronous job. Poll this endpoint after submitting a job via /execute/async or /run/async.

URL Parameters

Example (Dart)

Formatted no files in 0.01 seconds.

Response (Completed)

{
  "job_id": "c3d4e5f6-a7b8-9012-cdef-345678901234",
  "status": "completed",
  "created_at": 1699564800,
  "started_at": 1699564801,
  "completed_at": 1699564805,
  "result": {
    "success": true,
    "stdout": "Hello from unsandbox!\n",
    "stderr": "",
    "exit_code": 0,
    "language": "python",
    "artifacts": [],
    "execution_mode": "pooled",
    "network_mode": "zerotrust",
    "total_time_ms": 4021
  }
}

Possible Status Values

• pending - Job queued, waiting to execute
• running - Job currently executing
• completed - Job finished (check result field)
• timeout - Job exceeded TTL limit
• cancelled - Job was cancelled via DELETE

List all active (pending or running) jobs for your API key. Useful for monitoring multiple async executions.

Example (Dart)

Formatted no files in 0.01 seconds.

Response

{
  "jobs": [
    {
      "job_id": "job_1234567890_abc",
      "status": "running",
      "language": "python",
      "submitted_at": "2024-01-15T10:30:00Z"
    },
    {
      "job_id": "job_0987654321_xyz",
      "status": "pending",
      "language": "go",
      "submitted_at": "2024-01-15T10:29:45Z"
    }
  ]
}

Cancel a pending or running job. If the job is already executing, it will be terminated and partial output returned.

URL Parameters

Example (Dart)

Formatted no files in 0.01 seconds.

Response

{
  "message": "Job cancelled",
  "job_id": "e5f6a7b8-c9d0-1234-efgh-567890123456",
  "result": {
    "success": false,
    "stdout": "Partial output before cancel...",
    "stderr": "",
    "exit_code": -1,
    "language": "python",
    "artifacts": [],
    "execution_mode": "pooled",
    "network_mode": "zerotrust",
    "total_time_ms": 1523
  }
}

Execute code with automatic language detection via shebang. Send raw code as the request body with Content-Type: text/plain.

Request

• Content-Type: text/plain
• Body: Raw code with shebang (e.g., #!/usr/bin/env python3)

Query Parameters

Example (Dart)

Formatted no files in 0.00 seconds.

Response

{
  "success": true,
  "stdout": "Language auto-detected!\n",
  "stderr": "",
  "exit_code": 0,
  "language": "python",
  "detected_language": "python",
  "job_id": "f6a7b8c9-d0e1-2345-fghi-678901234567",
  "artifacts": [],
  "execution_mode": "pooled",
  "network_mode": "zerotrust",
  "total_time_ms": 412
}

Submit code with automatic language detection and receive a job ID. Combines the convenience of /run with the flexibility of async execution.

Request

• Content-Type: text/plain
• Body: Raw code with shebang (e.g., #!/usr/bin/env ruby)

Query Parameters

Example (Dart)

Formatted no files in 0.01 seconds.

Initial Response

{
  "job_id": "job_1234567890_abc",
  "status": "pending"
}

Job Result (via GET /jobs/{id})

{
  "job_id": "a7b8c9d0-e1f2-3456-ghij-789012345678",
  "status": "completed",
  "created_at": 1699564800,
  "started_at": 1699564801,
  "completed_at": 1699564802,
  "result": {
    "success": true,
    "stdout": "Running async with auto-detect!\n",
    "stderr": "",
    "exit_code": 0,
    "language": "ruby",
    "detected_language": "ruby",
    "artifacts": [],
    "execution_mode": "pooled",
    "network_mode": "zerotrust",
    "total_time_ms": 1234
  }
}

Upload files to your sandbox execution. Files are written to the working directory and can be accessed directly by filename.

File Object Schema

Example Request

{
  "language": "python",
  "code": "print(open('data.csv').read())",
  "input_files": [
    {
      "filename": "data.csv",
      "content": "bmFtZSxhZ2UKQWxpY2UsMzAKQm9iLDI1"
    }
  ]
}

Limits

• Maximum files: 10 files per execution
• Maximum total size: 10MB (decoded)
• Maximum single file: 5MB (decoded)
• Filename length: 256 characters max

File Access

Files are placed in the working directory. Access them directly:

• Python: open('data.csv')
• Node.js: fs.readFileSync('data.csv')
• Ruby: File.read('data.csv')
• Go: os.ReadFile("data.csv")

Security

• Files are isolated per execution
• Filenames cannot contain path separators (no / or ..)
• Files are deleted after execution completes