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Agent Hub – Qwen3 30B MoE Chat Completions
x402
Agent Hub – Qwen3 30B MoE Chat Completions is a paid API for AI agents from agents.torbrooknews.com, paid per call via x402, $0.002/call, status unknown (last checked 2026-10-15).
Provides OpenAI-compatible chat completions using Alibaba Qwen3 30B mixture-of-experts, a thinking model with tool calling, at $0.002 per request paid via x402.
Price / call$0.002
Success—
StatusUnknown
How this service works
OpenAI-compatible chat completions on Alibaba Qwen3 30B mixture-of-experts, thinking model with tool calling, the cheapest chat here. Set your OpenAI SDK base URL to https://agents.torbrooknews.com/v1/qwen and pay $0.002 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 response object containing the generated text (and optionally tool call data or reasoning traces), with up to 4096 output tokens. Supports streaming.
Example use cases
Cheap agentic reasoning with tool calling
“I need to run a reasoning step with tool calling for my agent pipeline — use the Qwen3 30B model, send the prompt 'Given the user's purchase history, recommend the top 3 products', and keep it under 1024 tokens to save cost.”
Draft technical documentation on a budget
“Generate a concise technical explanation of how transformer attention works, using the Qwen3 thinking model with a temperature of 0.5 and max 512 tokens — I want the cheapest option available.”
System-prompted customer support reply
“With the system message 'You are a polite customer support agent for an e-commerce store', reply to this customer message: 'My order hasn't arrived after 10 days, what should I do?' — use Qwen3 30B and keep the output under 256 tokens.”
Technical details
Endpoint
GEThttps://agents.torbrooknews.com/v1/qwen/chat/completions?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need the cheapest available OpenAI-compatible chat completion with tool calling and reasoning support, especially for high-volume agentic workflows where cost per call matters. Prefer it over the Llama or Nemotron siblings when Alibaba Qwen3's mixture-of-experts architecture fits your reasoning needs and you want the lowest per-request cost on the hub.
Side effects
- Payment failure if x402 USDC balance is insufficient
- Prompt or system message too long for context window
- Invalid parameter types (e.g. non-numeric temperature) causing 400 error
- Model timeout or availability issue causing 5xx error
- Tool call schema mismatch if tool definitions are malformed
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Tags
x402
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