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Citiview DeepSeek R1 Distill Chat Completions
x402
Citiview DeepSeek R1 Distill Chat Completions is a paid API for AI agents from agents.citiviewgroup.com, paid per call via x402, $0.022013/call, status unknown (last checked 2026-10-19).
Runs OpenAI-compatible chat completions on DeepSeek R1 Distill (Qwen 32B), a chain-of-thought reasoning model, billed per token via x402 micropayment instead of an API key.
Price / call$0.022013
Success—
StatusUnknown
How this service works
OpenAI-compatible chat completions on DeepSeek R1 Distill (Qwen 32B), chain-of-thought reasoning model. Set your OpenAI SDK base URL to https://agents.citiviewgroup.com/v1/r1 and pay per token with x402 instead of an API key: $0.994 per million input and $9.762 per million output tokens, minimum $0.002 a call, at most $0.1084. The 402 quotes your request's maximum; "upto" payers are charged only the tokens used. Same request/response shape as OpenAI (reasoning, streaming supp
Output
Returns an OpenAI-format chat completion JSON object with the assistant's message content (including chain-of-thought reasoning), finish reason, model name ('deepseek-r1-distill-32b'), and token usage breakdown (prompt tokens, completion tokens, total tokens). Streaming is supported.
Example use cases
Complex math reasoning with LLM
“I need you to solve this step-by-step using a reasoning model: if compound interest at 6% per year is applied to $12,000 over 8 years, compounded quarterly, what is the final amount? Show all working.”
Code logic explanation for debugging
“Can you use the DeepSeek reasoning model to explain exactly why this Python function might return None unexpectedly? Here's the function: def get_value(d, key): if key in d: return d[key].”
Multi-step word problem for agent pipeline
“Use a chain-of-thought LLM to answer this: a factory produces 240 units per day but shuts down for 3 days every 2 weeks. How many units are produced in a 90-day quarter? Walk me through the reasoning.”
Technical details
Endpoint
GEThttps://agents.citiviewgroup.com/v1/r1/chat/completions?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need OpenAI-SDK-compatible chat completions from a chain-of-thought reasoning model (DeepSeek R1 Distill 32B) without managing a monthly API subscription — especially in agentic pipelines that already use x402 micropayments. It is ideal for pay-as-you-go reasoning tasks, math, logic, and multi-step problems where a smaller, cheaper model is insufficient. Prefer it over standard OpenAI endpoints when cost transparency per call matters or when you want reasoning traces at a competitive per-token rate.
Side effects
- Insufficient x402 payment leads to 402 Payment Required with a payment quote
- Prompt too long for context window returns a token limit error
- Invalid or malformed prompt parameter causes a 400 Bad Request
- Model overload or timeout may result in 503 or empty completion
- temperature or max_tokens out of valid range may cause a parameter validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"id": "chatcmpl-...",
"model": "deepseek-r1-distill-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
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