OnHub AI Chat Completions

x402

OnHub AI Chat Completions is a paid API for AI agents from api.onhub.ai, paid per call via x402, $0.002/call, status unknown (last checked 2026-10-02).

Generates text completions from a selected LLM (including reasoning-capable models) via an OpenAI-compatible chat interface, billed per call via x402.

Price / call$0.002

Seller volume →—

Success—

StatusUnknown

How this service works

Text completion using the model selected in the request body.

Output

Returns an OpenAI-compatible chat completion JSON object containing the assistant's reply message, finish reason (e.g. 'stop'), model name used, and choice index. The content field holds the generated text response.

Example use cases

AI-powered customer support reply draft

“I need you to draft a polite customer support reply using the openai/gpt-oss-20b model — the customer said: 'My order hasn't arrived in 3 weeks and I'm very frustrated.' Keep it under 150 words, temperature 0.5.”

Code explanation for a developer tool

“Explain what this Python function does in simple terms using the gpt-oss-20b model with low temperature (0.2) and max 300 tokens: 'def fib(n): return n if n <= 1 else fib(n-1) + fib(n-2)'”

Multi-step reasoning with a reasoning model

“Use the reasoning-capable model with high reasoning_effort and enable_thinking turned on to solve this logic puzzle step by step: 'Alice, Bob, and Carol each have a different pet. Alice doesn't have the cat. Bob doesn't have the dog. Carol has the bird. Who has which pet?'”

Technical details

Endpoint

POSThttps://api.onhub.ai/v1/chat/completions?utm_source=zero.xyz

When to prefer

Choose this endpoint when you need a pay-per-call LLM completion without managing your own API keys or subscriptions, especially if you want x402 micropayment billing (USDC per call). It is OpenAI-compatible so it integrates easily into existing agent frameworks. Prefer it over managed LLM APIs when you need autonomous agent-friendly payment, or when you want access to reasoning-capable Workers AI models alongside standard chat models.

Side effects

Invalid or mismatched model name returns an error or unexpected output
max_tokens exceeding 2048 is rejected by schema validation
Streaming (stream: true) is not supported and will be rejected
Payment not provided or insufficient USDC causes x402 payment-required rejection
Empty messages array fails schema validation (minItems: 1)
Very high temperature values may produce incoherent outputs
enable_thinking on non-reasoning models may be ignored or cause errors

Input

Schema · Request body

Field	Type	Description
model	string	Optional; must match the model in the selected route.
stream	boolean
messages	array
max_tokens	integer
temperature	number
enable_thinking	boolean	For reasoning-capable Workers AI models. Defaults to false for GPT-OSS chat reliability.
reasoning_effort	—	For reasoning-capable Workers AI models.

Output

Schema · Response

{
  "type": "json",
  "example": {
    "model": "openai/gpt-oss-20b",
    "object": "chat.completion",
    "choices": [
      {
        "index": 0,
        "message": {
          "role": "assistant",
          "content": "Hello."
        },
        "finish_reason": "stop"
      }
    ]
  }
}

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