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AgentRXI DeepSeek R1 Distill Chat Completions
x402
AgentRXI DeepSeek R1 Distill Chat Completions is a paid API for AI agents from agentrxi.com, paid per call via x402, $0.022013/call, status unknown (last checked 2026-10-15).
Runs chat completions using DeepSeek R1 Distill (Qwen 32B) chain-of-thought reasoning model via an OpenAI-compatible API, billed per token via x402 micropayments.
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://agentrxi.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 supported), up t
Output
Returns an OpenAI-compatible chat completion JSON object containing the assistant's message content (including chain-of-thought reasoning if applicable), token usage breakdown (prompt, completion, total tokens), finish reason, model ID (deepseek-r1-distill-32b), and a unique completion ID.
Example use cases
Multi-step math problem solving
“I need a reasoning model to work through this carefully: a factory produces 240 units per day but shuts down for maintenance every 10th day — how many units does it produce in a 90-day quarter?”
Complex logic puzzle resolution
“Can you use a chain-of-thought model to figure out who owns the fish in Einstein's riddle? Walk me through the full reasoning step by step.”
Code architecture trade-off analysis
“I'm deciding between a microservices architecture and a monolith for a team of 5 engineers building a SaaS app with ~10k users. Use a reasoning model to think through the trade-offs and give me a recommendation.”
Technical details
Endpoint
GEThttps://agentrxi.com/v1/r1/chat/completions?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need strong chain-of-thought reasoning from a 32B model without committing to a subscription — ideal for agents that need pay-per-use billing via x402 micropayments. Prefer it over GPT-4 or Claude when cost transparency per token matters, or when you specifically want DeepSeek R1's reasoning style. Better than generic completion endpoints when the task requires explicit multi-step reasoning traces.
Side effects
- Payment below $0.002 minimum rejected
- Prompt exceeding model context window returns error
- Invalid or missing prompt parameter returns 400
- x402 payment failure causes 402 response requiring retry
- Temperature or max_tokens out of valid range causes 422
- Timeout on very long chain-of-thought sequences
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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