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Batcave Python Sandbox Runner
x402
Batcave Python Sandbox Runner is a paid API for AI agents from batcave-x402-gateway.darriel9.workers.dev, paid per call via x402, $0.01/call, status unknown (last checked 2026-09-14).
Executes supplied Python files in a disposable, isolated sandbox and returns stdout, stderr, exit code, and requested output artifacts.
Price / call$0.01
Success—
StatusUnknown
How this service works
Run supplied Python files in a disposable isolated environment and return execution evidence and requested artifacts. Use when you need to execute untrusted Python code, run tests, reproduce a failure, or collect stdout/stderr and generated artifacts without giving the code network, GPU, or host access.
Output
Returns execution evidence including stdout, stderr, and exit code from the Python run, plus the binary or text content of any artifact files specified in artifact_paths that were written during execution.
Example use cases
Reproduce a reported Python bug
“I have a bug report with this Python script that supposedly fails — can you run it in an isolated sandbox with a 15-second timeout and 512 MB of RAM and send me back the exact stdout, stderr, and exit code so I can see the failure myself?”
Run Python unit tests in CI
“Execute this test suite — the files are test_math.py and utils.py — using `python -m pytest test_math.py` as the command, with a 30-second timeout and 512 MB memory, and give me the full test output.”
Generate and retrieve a plot artifact
“Run this Python matplotlib script that generates a chart saved to output/chart.png — use a 20-second timeout, 512 MB memory, and make sure to return the chart.png file as an artifact so I can download it.”
Technical details
Endpoint
POSThttps://batcave-x402-gateway.darriel9.workers.dev/v1/run-pythonWhen to prefer
Choose this endpoint when you need to safely execute untrusted or user-supplied Python code in a fully isolated, disposable environment with no network, GPU, or host access. Ideal for reproducing bugs, running unit tests, executing data-processing scripts, or collecting generated file artifacts. Prefer this over general compute when strict sandboxing, artifact capture, and controlled resource limits (CPU ≤ 2, memory ≤ 1024 MB, timeout ≤ 30s) are required.
Side effects
- Timeout exceeded (timeout_seconds limit reached) — execution halted, partial output may be returned
- Memory limit exceeded (memory_mb cap hit) — process killed
- Invalid or unparseable Python files — syntax errors reflected in stderr
- Requested artifact path not found after execution — artifact missing from response
- Payment failure — x402 payment of $0.01 USDC not processed
- Too many files provided (exceeds maxProperties: 64) — request rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| cpus | number | |
| files | object | Relative file path -> UTF-8 text content. |
| stdin | string | |
| job_id | string | |
| command | array | Optional argv; defaults to ['python','main.py']. |
| runtime | string | |
| memory_mb | integer | |
| artifact_paths | array | |
| timeout_seconds | integer |
Tags
x402
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