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OpenAI-Compatible Chat Nano (DeepSeek, 500-token cap)
x402
OpenAI-Compatible Chat Nano (DeepSeek, 500-token cap) 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).
Pay-per-call OpenAI-compatible LLM chat completion powered by DeepSeek, capped at 500 output tokens per request.
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 an OpenAI-formatted chat.completion JSON object containing the assistant's reply message, finish reason (e.g. 'stop'), prompt/completion/total token counts, a model name ('deepseek-chat'), a completion ID, a Unix timestamp, and a _receipt object with the price paid in USD. Token output is capped at 500.
Example use cases
Lightweight agent reasoning step
“Use the nano chat endpoint to reason through this step: system prompt is 'You are a JSON-only responder', user message is 'List three pros of solar energy as a JSON array', set response_format to json_object and max_tokens to 200.”
Quick fact lookup for a bot
“Send this to the DeepSeek nano chat: user message 'In one sentence, who wrote Pride and Prejudice?', temperature 0, max_tokens 50 — I just need the fast, cheap answer.”
Agent prompt classification
“Run this through the nano LLM: system message 'Classify the following user input as one of: question, command, or statement. Reply with only the label.', user message 'Turn off the lights in the living room', temperature 0 and max_tokens 10.”
Technical details
Endpoint
GEThttps://scanpay-edge.alextaghiashvili.workers.dev/v1/chat/nano?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a cheap, pay-per-call, OpenAI-compatible LLM inference call without managing API keys or subscriptions — ideal for agent pipelines that make occasional short completions (under 500 tokens), need x402 micropayment settlement, or want DeepSeek-quality inference billed at $0.002 per call. Prefer alternatives when you need longer outputs (500+ tokens), streaming, function calling, embeddings, or image inputs.
Side effects
- Missing or empty messages array returns a 400 validation error
- messages content exceeding 4000 characters per message is rejected
- max_tokens above 500 is silently capped or rejected
- Payment not settled via x402 returns 402 Payment Required
- Malformed response_format object causes a 400 error
- Model field ignored or overridden by backend; specifying unsupported model names may be silently ignored
- Network timeout on the Cloudflare Worker edge node
- Rate limiting if too many calls are made in quick succession
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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