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Clarity x402 Chat Completions (Qwen3 1.7B)
x402
Clarity x402 Chat Completions (Qwen3 1.7B) is a paid API for AI agents from desktop-o99r0sf.tail935fba.ts.net, paid per call via x402, $0.001/call, status down (last checked 2026-09-15).
Pay-per-request AI chat inference using Qwen3 1.7B via Clarity's x402 micropayment gateway, returning an OpenAI-compatible chat completion response.
Price / call$0.001
Success—
StatusDown
How this service works
Direct pay-per-request AI inference through Clarity using local:qwen3:1.7b. Pay the live x402 challenge and receive an OpenAI-compatible chat completion directly.
Output
An OpenAI-compatible JSON chat completion object containing the assistant's reply message, finish reason (e.g. 'stop'), token usage breakdown (prompt, completion, total), model name ('qwen3:1.7b'), and a unique completion ID.
Example use cases
Quick factual question answering
“Use Clarity's Qwen3 model to answer this for me: 'What is the capital of Australia?' — keep it brief, max 50 tokens.”
Lightweight code explanation
“Ask the Qwen3 1.7B model on Clarity to explain what this Python snippet does in plain English: 'print([x**2 for x in range(10)])' — temperature 0.3, up to 100 tokens.”
Creative micro-writing task
“Have Clarity's local Qwen3 model write a one-sentence tagline for a coffee shop called 'Morning Bloom' — use a temperature of 1.2 for creativity, max 40 tokens.”
Technical details
Endpoint
GEThttps://desktop-o99r0sf.tail935fba.ts.net/v1/x402/chat/completionsWhen to prefer
Choose this endpoint when you need a cheap, pay-as-you-go AI chat completion with no subscription or API key setup, especially for lightweight tasks where a 1.7B parameter model suffices. Ideal for agents that use x402 micropayments and want OpenAI-compatible responses at $0.001 USDC per call. Prefer alternatives for complex reasoning tasks requiring larger models, streaming responses, or more than 128 output tokens.
Side effects
- x402 payment challenge not met — returns 402 Payment Required with payment instructions
- Invalid or missing messages array — returns 400 Bad Request
- max_tokens exceeds 128 — rejected by schema validation
- Model field not set to 'local:qwen3:1.7b' — rejected as unsupported model
- Stream set to true — rejected since only non-streaming mode is supported
- Endpoint unavailable if the host device (Tailscale node) is offline — connection timeout or 503
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| model | string | |
| stream | boolean | |
| messages | array | |
| max_tokens | integer | |
| temperature | number |
Output
Schema · Response
{
"type": "json",
"example": {
"id": "chatcmpl-example",
"model": "qwen3:1.7b",
"usage": {
"total_tokens": 15,
"prompt_tokens": 10,
"completion_tokens": 5
},
"object": "chat.completion",
"choices": [
{
"index": 0,
"message": {
"role": "assistant",
"content": "Hello from Clarity."
},
"finish_reason": "stop"
}
]
}
}Tags
x402
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