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Isolated Python Code Execution via Modal Sandbox
x402
Isolated Python Code Execution via Modal Sandbox is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.04/call, status unknown (last checked 2026-10-12).
Executes up to 2,000 characters of Python 3.11 code in an isolated Modal cloud sandbox and returns stdout, stderr, and exit code
Price / call$0.04
Success—
StatusUnknown
How this service works
Isolated Python Code Execution: Run up to 2,000 characters of Python 3.11 code in a temporary Modal sandbox via BlockRun. Up to 20 seconds, 1 CPU and 512 MB. Returns stdout, stderr and exit code. Code runs at the provider; no seller credentials are supplied. Python standard library only; no persistence. 0.04 USDC includes one 20-second Python execution.
Output
Returns the captured stdout (printed output), stderr (error messages or tracebacks), and exit code from the executed Python process, reflecting exactly what the script produced during its up-to-20-second run in a 1-CPU, 512MB Modal sandbox.
Example use cases
Quick math computation in Python
“Run this Python code for me and give me the result: `print(sum(x**2 for x in range(1, 101)))`”
String processing without local setup
“I don't have Python installed right now — can you execute this for me in the cloud? `text = 'Hello World'; print(text[::-1].upper())`”
Validate Python logic before deployment
“Can you run this Python snippet to check if my logic is correct: `def is_prime(n): return n > 1 and all(n % i for i in range(2, int(n**0.5)+1)); print([x for x in range(2,50) if is_prime(x)])`”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-python-cloud-execution?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to safely execute arbitrary Python 3.11 code in an isolated cloud environment without setting up local infrastructure, and only need Python standard library modules. Ideal for quick computations, string manipulation, data transformations, or logic validation where persistence and external packages are not required. Prefer over local execution when security isolation matters, or over general LLM code interpretation when you need actual execution with real stdout/stderr output.
Side effects
- Code exceeds 2,000 character limit — request rejected before execution
- Execution exceeds 20-second timeout — process terminated, partial stdout may be returned
- Code imports third-party packages not in the Python standard library — ImportError in stderr
- Runtime Python error (SyntaxError, NameError, etc.) — non-zero exit code with traceback in stderr
- Sandbox infrastructure unavailable — service-level error returned
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| code | string |
Tags
x402
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