AgentPMT - The Agentic Economy

Secure Python Code Sandbox

Compute
$0.50/requestMin Purchase: 2Min Purchase Price: $1

Details

For safely executing arbitrary Python code snippets within an isolated, secure environment. The sandbox comes pre-installed with common data science and web request libraries, including requests, NumPy, and pandas. It is ideal for performing quick computations, data transformations, or dynamic API calls without requiring external infrastructure.

Use Cases

Dynamic Code Execution, Data Manipulation, On-the-fly Calculation, API Integration, Data Analysis, Custom Scripting, Algorithmic Tasks, Web Scraping

Parameters

(required properties listed first)

code*required
Type:string
Description:A string containing the Python code to be executed. The code must be self-contained. Constraints: Maximum of 50,000 characters. Example: "import numpy as np\ndata = np.array([1, 2, 3, 4, 5])\nmean = np.mean(data)\nprint(\"The mean is {}\".format(mean))"
timeout_seconds
Type:number
Description:The maximum number of seconds to allow the code to run before terminating the execution. Default: 60 Constraints: Must be an integer between 10 and 60.
Minimum:10
Maximum:60

API Example

curl -X POST "https://api.agentpmt.com/products/purchase" \
  -H "Content-Type: application/json" \
  -H "X-API-Key: your-api-key-here" \
  -H "X-Budget-Key: your-budget-key-here" \
  -d '{
    "product_id": "689f48d98ee2d1dd79e9035e",
    "parameters": {
      "code": "example_code"
    }
  }'

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About The Developer

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Apoth3osis

13 stars

Joined Agent Payment: August 14, 2025

We build tools that enable AI agents to excel in the mathematical realm.

Our small team develops experimental and unique solutions in the AI arena, with a strong focus on modular computing for agentic applications and custom model deployment. We have handled projects for a variety of applications across many sectors, from algorithmic trading and financial analysis, to molecular simulations and predictions, to habitat and biodiversity monitoring and wildlife conservation.