Pricing

from $0.52 / 1,000 code executions

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AI Code Runner Sandbox

Try for free

Execute short JavaScript or Python snippets in a fresh bounded container process. Get structured status, stdout, stderr, parsed JSON, timing, and generated-file references for AI agents and automations.

Pricing

from $0.52 / 1,000 code executions

Rating

0.0

(0)

Developer

Automation Lab

Actor stats

Bookmarked

144

Total users

Monthly active users

2 months ago

Last modified

Categories

Developer tools

Automation

Security

You can access the AI Code Runner Sandbox programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in API & Integrations in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = {
9    "language": "javascript",
10    "code": """const chunks = [];
11for await (const chunk of process.stdin) chunks.push(chunk);
12const input = JSON.parse(Buffer.concat(chunks).toString() || '{}');
13console.log(JSON.stringify({ sum: input.values.reduce((a, b) => a + b, 0), count: input.values.length }));""",
14    "stdin": { "values": [
15            3,
16            5,
17            8,
18        ] },
19    "parseJsonOutput": True,
20    "timeoutSeconds": 5,
21    "maxOutputBytes": 256000,
22    "saveFiles": [],
23    "maxSavedFileBytes": 5000000,
24}
25
26# Run the Actor and wait for it to finish
27run = client.actor("automation-lab/ai-code-runner-sandbox").call(run_input=run_input)
28
29# Fetch and print Actor results from the run's dataset (if there are any)
30print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
31for item in client.dataset(run.default_dataset_id).iterate_items():
32    print(item)
33
34# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

AI Code Runner Sandbox — JavaScript & Python Executor API in Python

The Apify API client for Python is the official library that allows you to use AI Code Runner Sandbox API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include:

AI Code Runner Sandbox API in JavaScript

AI Code Runner Sandbox API through CLI

AI Code Runner Sandbox OpenAPI definition

AI Code Runner Sandbox API

HTTP Request — Bulk & Proxied API Calls

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Web Fetch

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Universal Downloader

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Powerful file downloader with proxy support, automatic retries, and cloud storage. Downloads any file type with streaming technology. Supports standby mode for instant API responses. Perfect for bulk downloads, geo-restricted content, and automation workflows.

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AI Code Sandbox

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Provides a secure execution environment for code generated by AI agents. Interact with the sandbox through web shell, REST API, or MCP. Supports Python and Node.js runtimes, Claude Code, Codex CLI, and OpenCode coding agents, and persists state.

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Example Code Runner (Python)

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Python Actor to run code examples from the documentation via "Run on Apify" links.

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Dataset Filter & Transform

nerolabs/dataset-filter-transform

Returns rows of any Apify dataset, CSV/Excel/JSON file URL or Google Sheet that pass filter rules (25 operators, AND/OR, date ranges that fix a scraper's ignored date filter) after transforms (rename, cast, compute, regex), then sort, dedupe, export, webhook. Agent-ready: pay per event (x402, MCP).