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OpenAI-Compatible Chat Completions via DeepSeek (ScanPay)
x402
OpenAI-Compatible Chat Completions via DeepSeek (ScanPay) is a paid API for AI agents from scanpay-edge.alextaghiashvili.workers.dev, paid per call via x402, $0.002/call, status unknown (last checked 2026-11-02).
Provides pay-per-call OpenAI-compatible LLM chat completions powered by DeepSeek, accepting messages in OpenAI format and returning standard chat completion responses (up to 2048 tokens).
Price / call$0.002
Success—
StatusUnknown
How this service works
Pay-per-call x402 APIs for AI agents: OpenAI-compatible LLM chat, perp funding and arbitrage spreads, crypto prices, gas, FX, Solana SPL mint audit, token price by contract, x402 delivery-receipt verification, web search, clean page extraction, batch tools and deterministic code-security scanning. USDC on Base or Solana, no signup, no API key, from $0.0001 a call.
Output
Returns a standard OpenAI-format chat.completion JSON object containing the assistant's message content, finish reason, token usage breakdown (prompt, completion, total), model name, a unique completion ID, creation timestamp, and a _receipt field with the USD price charged for the call.
Example use cases
Agentic pipeline LLM step
“I'm building an agent that needs to call an LLM for each task step without a subscription. Use the DeepSeek-backed chat completions endpoint to send: system 'You are a task planner', user 'Break down writing a blog post into 5 steps', max 512 tokens, and return the result.”
Structured JSON extraction from text
“Call the pay-per-call LLM endpoint with response_format set to json_object, system prompt 'Extract named entities as JSON', and this user message: 'Apple Inc. was founded by Steve Jobs in Cupertino, California in 1976.' Keep max_tokens at 300.”
One-off creative writing request
“Send a single chat completion request to the DeepSeek endpoint — no subscription needed — with the user message 'Write a three-sentence product description for a reusable bamboo coffee cup' and temperature 1.2, up to 200 tokens.”
Technical details
Endpoint
GEThttps://scanpay-edge.alextaghiashvili.workers.dev/v1/chat/completions?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need OpenAI-compatible LLM inference on a strict pay-per-call basis (no subscription), especially in agentic or automated workflows where you want to pay $0.002 USDC per request via x402 micropayment. It's ideal for agents that already use the OpenAI SDK (drop-in base_url replacement), need DeepSeek-quality reasoning cheaply, or want deterministic per-call billing rather than monthly quota plans. Prefer alternatives if you need more than 2048 output tokens, streaming responses, embeddings, or function/tool calling.
Side effects
- Payment not settled via x402 — returns 402 Payment Required
- Messages array empty or missing — returns 400 validation error
- Content exceeds 8000 characters per message — rejected by schema
- max_tokens exceeds hard cap of 2048 — silently capped or rejected
- DeepSeek upstream timeout — may return 504 or partial response
- Invalid role value outside enum (user/assistant/system) — 400 error
- Model field specifying unsupported model — may fall back to deepseek-chat or error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"id": "chatcmpl-sp-0123456789abcdef",
"model": "deepseek-chat",
"usage": {
"total_tokens": 7,
"prompt_tokens": 5,
"completion_tokens": 2
},
"object": "chat.completion",
"choices": [
{
"index": 0,
"message": {
"role": "assistant",
"content": "Hello!"
},
"finish_reason": "stop"
}
],
"created": 1793462400,
"_receipt": {
"price_usd": 0.002
}
}
}Tags
x402
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