OnHub Code Execution — Python-Based Computational Q&A

x402

OnHub Code Execution — Python-Based Computational Q&A is a paid API for AI agents from x402.onhub.ai, paid per call via x402, $0.015/call, status unknown (last checked 2026-10-11).

Answers computational questions by writing and executing Python code, returning step-by-step reasoning and a final answer, paid per request in USDC on Base.

Price / call$0.015

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StatusUnknown

How this service works

OnHub is the pay-per-request API layer for agents. Text inference paid per request with USDC on Base.

Output

Returns a JSON object with the original query, an array of execution steps (each with a type and content field showing intermediate outputs), and a final human-readable answer string. The object type is 'code.result'.

Example use cases

Prime number sum verification

“What is the sum of the first 50 prime numbers? Write and run the Python code to calculate it.”

Fibonacci sequence computation

“Calculate the 200th Fibonacci number for me by running Python code — I need the exact value.”

Statistical data aggregation

“I have a list of numbers: 14, 27, 3, 98, 56, 42, 71. Can you compute the mean, median, and standard deviation by writing and executing Python code?”

Technical details

Endpoint

POSThttps://x402.onhub.ai/v1/code?utm_source=zero.xyz

When to prefer

Choose this endpoint when you need to verify or compute a precise numerical, algorithmic, or data-processing result using executed Python code rather than LLM estimation. It is ideal when accuracy matters (e.g. large sums, sorting, statistics) and a hallucinated answer is unacceptable. Prefer it over a general text inference endpoint when the task is inherently computational and benefits from code execution guarantees.

Side effects

Query too short (below 3 characters) returns validation error
Query exceeds 2000 character limit returns validation error
Payment not provided or insufficient USDC returns 402 Payment Required
Computationally unbounded or infinite-loop queries may time out
Queries requiring external network access inside the sandbox may fail
Ambiguous or non-computational queries may produce incorrect or empty steps

Input

Schema · Request body

Field	Type	Description
query	string	A computational question to answer by writing and running Python code, e.g. a calculation, data-processing, or verification task.

Output

Schema · Response

{
  "type": "json",
  "example": {
    "query": "What is the sum of the first 50 prime numbers?",
    "steps": [
      {
        "type": "result",
        "content": "5117\n"
      }
    ],
    "answer": "The sum of the first 50 prime numbers is 5,117.",
    "object": "code.result"
  }
}

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