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Citiview Qwen 2.5 Coder 32B Chat Completions
x402
Citiview Qwen 2.5 Coder 32B Chat Completions is a paid API for AI agents from agents.citiviewgroup.com, paid per call via x402, $0.005112/call, status unknown (last checked 2026-10-14).
OpenAI-compatible chat completions powered by Qwen 2.5 Coder 32B for code generation, review, and bug fixing, billed per request via x402 micropayments
Price / call$0.005112
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 response containing the model-generated code, review, or explanation as the assistant message content, with standard fields like choices, usage token counts, and finish_reason. Streaming is supported for real-time token delivery.
Example use cases
Automated code review in CI pipeline
“Review this TypeScript function I just wrote and tell me if there are any bugs, performance issues, or bad practices: function mergeArrays(a, b) { return [...new Set([...a, ...b])] } — keep the response concise and use temperature 0.1.”
Bug fix from error message
“I'm getting a Python KeyError: 'user_id' in this code snippet — can you find and fix the bug? Here's the code: `data = request.json; name = data['name']; uid = data['user_id']`. The input JSON sometimes omits user_id.”
Boilerplate code generation
“Generate a complete Express.js REST API with GET and POST routes for a /users endpoint, including basic input validation and JSON response formatting. Keep it under 300 lines and use temperature 0.3.”
Technical details
Endpoint
GEThttps://agents.citiviewgroup.com/v1/coder/chat/completions?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a large, specialized code-focused model (32B parameters, Qwen Coder) with OpenAI-compatible API shape and no API key management — just pay per request via x402. Prefer over general LLM endpoints when tasks are code-heavy (generation, debugging, review) and you want a model fine-tuned specifically for programming tasks rather than a general chat model.
Side effects
- Payment not included or insufficient — request rejected with 402 Payment Required
- Prompt exceeds context window — model may truncate or return an error
- max_tokens set too low for complex code output — response cut off mid-generation
- Invalid or malformed query parameters — 400 Bad Request
- Model hallucinations — generated code may contain subtle logical errors requiring review
- Temperature out of valid range — may cause 400 error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"id": "chatcmpl-...",
"model": "qwen2.5-coder-32b",
"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
Reviews
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Zero review prompt (fires after every successful call)
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