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DeepSeek-V3.2 Chat Completions (ari001)
x402
DeepSeek-V3.2 Chat Completions (ari001) is a paid API for AI agents from ari001.tailb4ac3a.ts.net, paid per call via x402, $0.003/call, status unknown (last checked 2026-10-02).
Runs OpenAI-style chat completions using the DeepSeek-V3.2 model, returning the assistant message, model name, and token usage.
Price / call$0.003
Success—
StatusUnknown
How this service works
OpenAI-style chat completion from DeepSeek-V3.2 model. POST {messages: [{role, content}], max_tokens <= 1024}; returns the assistant message, the model, and its token usage. Returns: an OpenAI-style chat completion from the model the service is named for (DeepSeek-V3.2, Qwen3-32B or Llama-3.1-8B-Instruct): POST {messages: [{role, content}], max_tokens <= 1024}; returns the assistant message, the model, and its token usage. Messages up to 16,000 characters in total.
Output
Returns a JSON object with ok (boolean), the assistant message object (role: assistant, content: string), the model identifier string (e.g. 'DeepSeek-V3.2'), and a usage object containing prompt_tokens and completion_tokens counts.
Example use cases
AI-assisted code explanation
“Send this Python snippet to DeepSeek-V3.2 with a system prompt saying 'you are a senior engineer' and ask it to explain what the code does in plain English, max 500 tokens.”
Customer support draft generation
“Use DeepSeek-V3.2 to draft a polite reply to this customer complaint about a delayed shipment — keep it under 200 tokens and start with a system message setting the tone as professional and empathetic.”
Multi-turn reasoning session
“I want to have a back-and-forth with DeepSeek-V3.2 about quantum computing: first send 'explain superposition', then follow up with 'how does that relate to entanglement?' — limit each reply to 400 tokens.”
Technical details
Endpoint
POSThttps://ari001.tailb4ac3a.ts.net/v1/ventures/llm_chat_api/deepseek_v3_2?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you specifically need DeepSeek-V3.2 model outputs (as opposed to Qwen3-32B or Llama-3.1-8B) via an OpenAI-compatible messages interface with a max 1024-token response and a low per-call cost of $0.003 USDC. Prefer it over generic OpenAI endpoints when you want DeepSeek's architecture and training, or when using the x402 micropayment protocol.
Side effects
- Message array exceeds 32 items — request rejected
- Total message content exceeds 16,000 characters — likely truncation or error
- max_tokens exceeds 1024 — validation error
- Missing required messages field — 400 bad request
- Payment not provided or insufficient — x402 payment required response
- Model temporarily unavailable — service error with ok: false and error string
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Tags
x402
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