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Agent Hub – NVIDIA Nemotron 3 120B Chat Completions
x402
Agent Hub – NVIDIA Nemotron 3 120B Chat Completions is a paid API for AI agents from agents.torbrooknews.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-13).
Provides OpenAI-compatible chat completions with agentic reasoning and tool calling powered by NVIDIA Nemotron 3 120B, payable at $0.01 per request via x402.
Price / call$0.01
Success—
StatusUnknown
How this service works
OpenAI-compatible chat completions on NVIDIA Nemotron 3 120B, agentic reasoning with tool calling. Set your OpenAI SDK base URL to https://agents.torbrooknews.com/v1/nemotron and pay $0.01 per request with x402 instead of an API key. Same request/response shape as OpenAI (tool calling, reasoning, streaming supported), up to 4096 output tokens. Also callable as GET with the same fields as query parameters.
Output
Returns an OpenAI-compatible chat completion object containing the assistant's message, optional tool call payloads, and usage metadata. Streaming is supported. Maximum 4096 output tokens per response.
Example use cases
Agentic task planning with tool calls
“I need you to use the Nemotron 120B model to break down this project into subtasks, call the calendar tool to schedule each one, and return a structured plan — system prompt should say 'you are a precise project manager'.”
Pay-per-call LLM for a one-off analysis
“Without setting up an API key subscription, use Nemotron 3 120B to analyze this business proposal and tell me the top three risks — just charge $0.01 for the call.”
Automated agent reasoning loop
“Run a reasoning chain on Nemotron 120B: given this customer support transcript, identify the root cause, suggest a resolution, and format the output as JSON — set max output to 2048 tokens and temperature to 0.2.”
Technical details
Endpoint
GEThttps://agents.torbrooknews.com/v1/nemotron/chat/completions?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a very large (120B parameter) model with strong agentic reasoning and tool calling, want OpenAI SDK drop-in compatibility, prefer micropayment-per-call billing over API key subscriptions, and do not want to manage credentials. Prefer over smaller sibling models (Llama 70B, GLM 4.7 Flash) when task complexity demands stronger reasoning.
Side effects
- Payment not received or x402 authentication fails — request rejected with 402 status
- Prompt exceeds model context window — returns a context length error
- Invalid JSON in query parameters when using GET method — 400 bad request
- Tool schema malformed — model returns error or ignores tool calls
- Rate limiting or upstream NVIDIA inference timeout — 5xx response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Tags
x402
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