Run a JavaScript snippet on JSON input

Created by

ParseBird

Actor

AI Code Runner Sandbox

Runs a Node.js snippet in an isolated sandbox: it reads a JSON object from standard input, computes sum, count, mean, max and min of `values`, and prints the result as JSON. The output is parsed into the `result` field. Edit `code` and `stdin` to run any transformation, with a 5-second timeout.

Try for free

AI Code Runner Sandboxparsebird/code-runner-sandbox

Status

Language

Exit code

Signal

+6 fields

Input

Language:javascript

Code(required):const chunks=[]; for await (const c of process.stdin) chunks.push(c); const input=JSON.parse(Buffer.concat(chunks).toString()||'{}'); const v=input.values; const sum=v.reduce((a,b)=>a+b,0); console.log(JSON.stringify({sum, count:v.length, mean:sum/v.length, max:Math.max(...v), min:Math.min(...v)}));

Standard input:{"values": [3, 5, 8, 13, 21]}

Timeout (seconds):5

Output fields

Status

Language

Exit code

Signal

Duration (ms)

Timed out

Output truncated

Termination reason

Result parse error

Executed at

How it works

Sign up on Apify or log in

The AI Code Runner Sandbox Actor is ready to run with the inputs already set for "Run a JavaScript snippet on JSON input". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Run a JavaScript snippet on JSON input" task

The AI Code Runner Sandbox Actor will start running based on the input automatically. You can also change all the input fields, like language, code, and more, to match your specific use case.

Receive the "Run a JavaScript snippet on JSON input" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as status, language, exit code, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Run a JavaScript snippet on JSON input" task via API.