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Arysphere Base DeepSeek Chat Completion
x402
Arysphere Base DeepSeek Chat Completion is a paid API for AI agents from api.arysphere.com, paid per call via x402, $0.003/call, status unknown (last checked 2026-10-26).
OpenAI-style LLM chat completion using DeepSeek-V4-Flash-0731, accepting a message array and returning the assistant reply with token usage
Price / call$0.003
Success—
StatusUnknown
How this service works
LLM chat completion: send messages and max_tokens, get the reply. OpenAI-style chat completion from DeepSeek-V4-Flash-0731. Returns: an OpenAI-style chat completion from the model the service is named for (DeepSeek-V4-Flash-0731, 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 an OpenAI-style chat completion object containing the assistant's reply message, the model identifier (DeepSeek-V4-Flash-0731), and token usage statistics (prompt tokens, completion tokens, total tokens). The assistant content is the generated text response to the supplied message array.
Example use cases
Agentic reasoning step
“I need you to ask DeepSeek-V4-Flash to reason through this logic puzzle step by step and give me its answer — limit the reply to 800 tokens.”
On-chain data explanation
“Take this raw Ethereum transaction data I have and send it to DeepSeek-V4-Flash with a prompt asking it to explain what happened in plain English, max 600 tokens.”
Code snippet generation
“Use DeepSeek to write a short Python function that parses a JWT token and extracts the payload, keep the response under 512 tokens.”
Technical details
Endpoint
POSThttps://api.arysphere.com/v1/ventures/x402_bazaar_token_verdict_v2/base_deepseek_chat?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a fast, pay-per-call DeepSeek-V4-Flash-0731 chat completion without account setup, particularly in agentic pipelines that already handle x402 micropayments. It is ideal for lightweight reasoning, summarization, or text generation tasks within the 1024-token output limit and 16,000-character context window. Prefer it over self-hosted DeepSeek or OpenAI when cost per call and no-account access matter.
Side effects
- Messages exceed 16,000 total characters — request rejected
- max_tokens exceeds 1024 — parameter validation error
- Malformed messages array (missing role or content fields) — 4xx error
- Payment not processed via x402 — request blocked
- Model temporarily unavailable — 5xx error
Tags
x402
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