Model Access Gateway – GPT-OSS-120B Chat Completions (x402, USDC)

x402

Model Access Gateway – GPT-OSS-120B Chat Completions (x402, USDC) is a paid API for AI agents from modelaccessgateway.com, paid per call via x402, $0.001/call, status unknown (last checked 2026-10-16).

Runs OpenAI-compatible chat completions against the GPT-OSS-120B model, billed per call in USDC on Base via x402 with no account or API key required.

Price / call$0.001

Seller volume →—

Success—

StatusUnknown

How this service works

LLM inference API: OpenAI-compatible chat completions for 136 AI models (Claude, GPT, Gemini, Grok, DeepSeek, Qwen, Kimi, GLM), paid per call in USDC on Base with x402. No account, no API key, automatic refund if the model fails.

Output

Returns an OpenAI-compatible chat.completion JSON object containing the assistant's generated message, the finish reason (stop, length, tool_calls, etc.), token usage breakdown (prompt, completion, total), a completion ID, and the model name. When streaming is enabled, delivers server-sent events incrementally until the response is complete.

Example use cases

Anonymous one-off LLM query

“I need to ask a 120B-parameter open-source GPT model a single question without creating any accounts — just pay a fraction of a cent in USDC and get the answer back. Ask it: 'What are three key differences between TCP and UDP?'”

Streaming AI assistant in an app

“In my app I want to stream a GPT-OSS-120B response to the user as it generates — send the system message 'You are a helpful coding assistant', the user message 'Explain async/await in Python with an example', enable streaming, and cap the output at 1024 tokens.”

Structured JSON output from LLM

“Call the GPT-OSS-120B model with the prompt 'Extract the company name, date, and total amount from this invoice text: Acme Corp, Jan 15 2025, $4,320' and return the result as structured JSON — use response_format to enforce JSON output.”

Technical details

Endpoint

POSThttps://modelaccessgateway.com/llm/gpt-oss-120b?utm_source=zero.xyz

When to prefer

Choose this endpoint when you need OpenAI-compatible GPT-OSS-120B inference without an API subscription, account registration, or stored credentials — ideal for agentic workflows that pay per call in USDC via x402 on Base. Prefer it over subscription-gated APIs when cost isolation per call matters, when operating anonymously, or when building agents that need built-in crypto micropayment flows. The automatic refund guarantee on model failure makes it lower-risk than raw provider APIs for unreliable or experimental workloads.

Side effects

Payment rejected or insufficient USDC balance — x402 payment handshake fails, no completion returned and automatic refund issued
Model backend unavailable — upstream model error triggers automatic refund per gateway policy
Invalid messages array (empty or missing required role field) — 400 validation error
max_tokens exceeds 16384 limit — schema validation failure
Temperature out of 0–2 range — request rejected with validation error
Network timeout on long completions — partial response or no response, refund policy applies

Input

Schema · Request body

Field	Type	Description
model	string	Optional: fixed by the route (openai/gpt-oss-120b)
tools	array
stream	boolean	true: server-sent events after payment
messages	array
max_tokens	integer	Optional, default 4096
temperature	number
response_format	object

Output

Schema · Response

{
  "type": "json",
  "example": {
    "id": "chatcmpl-7f3c2a91",
    "model": "openai/gpt-oss-120b",
    "usage": {
      "total_tokens": 10,
      "prompt_tokens": 9,
      "completion_tokens": 1
    },
    "object": "chat.completion",
    "choices": [
      {
        "index": 0,
        "message": {
          "role": "assistant",
          "content": "OK"
        },
        "finish_reason": "stop"
      }
    ],
    "created": 1791979200
  }
}

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