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Citiview Qwen3 30B MoE Chat Completions
x402
Citiview Qwen3 30B MoE Chat Completions is a paid API for AI agents from agents.citiviewgroup.com, paid per call via x402, $0.004062/call, status unknown (last checked 2026-10-14).
OpenAI-compatible chat completions using Alibaba Qwen3 30B mixture-of-experts with tool calling, reasoning, and streaming, billed at $0.002 per request via x402 micropayment
Price / call$0.004062
Success—
StatusUnknown
How this service works
Citiview Agent Market: 211 pay-per-call tools for AI agents. Cited answers, deep research, agent memory, file hosting, webhooks, schedules, sanctions and link safety checks, OpenAI-compatible LLMs on 11 models, web search, scraping, PDF, OCR, speech, Solana and EVM token risk, DeFi, prediction odds, SEC data. Pay per call in USDC with x402. No key, no signup.
Output
Returns an OpenAI-compatible chat completion object containing the assistant message, optional reasoning trace, tool call payloads if triggered, usage statistics, and finish reason; streaming mode delivers server-sent event chunks in the same shape.
Example use cases
Budget LLM reasoning for agent pipelines
“I need to run lots of LLM calls cheaply in my agent pipeline — use the Qwen3 30B model to answer this question with up to 1024 tokens: 'What are the main risks of holding altcoins during a bear market?'”
Tool-calling agent with low-cost inference
“Use the cheapest chat model available to call my 'get_price' tool and decide whether to buy or sell BTC based on the current price — keep max_tokens at 512 and temperature at 0.”
Ad-hoc reasoning question with no API key
“Without setting up an API key, send this prompt to the Qwen3 30B thinking model and give me back its full reasoning: 'Explain the tradeoffs between proof-of-work and proof-of-stake blockchains.' Use up to 4096 output tokens.”
Technical details
Endpoint
GEThttps://agents.citiviewgroup.com/v1/qwen/chat/completions?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need the lowest per-request cost for OpenAI-compatible chat completions among Citiview's offerings, especially when running high-volume agentic pipelines that benefit from Qwen3's mixture-of-experts architecture and built-in reasoning. Prefer it over the Qwen 2.5 Coder endpoint when the task is general reasoning or conversation rather than code generation, and over heavier/costlier models when 4096 output tokens is sufficient.
Side effects
- x402 payment failure if wallet balance is insufficient or payment header is malformed
- prompt parameter missing returns a 400 validation error
- max_tokens exceeding 4096 is likely truncated or rejected
- rate limits or quota exceeded return 429 errors
- model timeout on very long reasoning chains may result in incomplete responses
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"id": "chatcmpl-...",
"model": "qwen3-30b-a3b",
"usage": {
"total_tokens": 18,
"prompt_tokens": 14,
"completion_tokens": 4
},
"object": "chat.completion",
"choices": [
{
"index": 0,
"message": {
"role": "assistant",
"content": "Bonjour !"
},
"finish_reason": "stop"
}
]
}
}Tags
x402
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