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motor.thaiprojerseys.com Chat Completions
x402
motor.thaiprojerseys.com Chat Completions is a paid API for AI agents from motor.thaiprojerseys.com, paid per call via x402, $0.002/call, status down (last checked 2026-11-04).
OpenAI-compatible chat completions using a self-hosted open-weight 120B parameter model (gpt-oss-120b) in Portugal, with up to 1024 output tokens per call.
Price / call$0.002
Success—
StatusDown
How this service works
OpenAI-compatible chat completions from open-weight gpt-oss-120b (Apache-2.0), self-hosted in Portugal. Up to 1024 output tokens per call, ~50 tokens/s. Prompts and answers are not stored. Pay per request, only charged on success.
Output
Returns an OpenAI-compatible chat completion response object containing the assistant's generated message, token usage statistics, model identifier, finish reason, and choice metadata. Responses are not stored after delivery.
Example use cases
Automated Q&A for customer support
“Send this support conversation to the 120B open-weight model and get a reply: the system message is 'You are a friendly support agent for a software company', and the user just asked 'How do I reset my password?' — limit the response to 300 tokens.”
Summarization pipeline for documents
“Using the self-hosted 120B model, summarize the following article for me: [article text here] — keep the summary under 200 tokens and use a low temperature of 0.3 for a factual tone.”
Code explanation for developer tools
“Ask the open-weight 120B chat model to explain what this Python function does — the user message is 'Can you walk me through this code step by step: def fib(n): return n if n <= 1 else fib(n-1)+fib(n-2)' — use a temperature of 0.5 and up to 400 tokens.”
Technical details
Endpoint
POSThttps://motor.thaiprojerseys.com/v1/chat/completions?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a low-cost, per-request OpenAI-compatible chat completion using a large open-weight model (120B parameters) without data retention, especially when Apache-2.0 licensing compliance matters, when you want to avoid subscriptions, or when sovereignty/hosting location (Portugal, EU) is important. It is a good fit for agents that need occasional LLM calls without committing to a monthly API plan.
Side effects
- Input messages array missing or empty — returns validation error
- max_tokens exceeds 1024 — capped or rejected
- Temperature exceeds 1.5 — rejected by schema validation
- Payment not included or insufficient USDC — request not processed
- Model overloaded or server unavailable — timeout or 503 error
- Messages array exceeds 40 items — rejected by schema
- Malformed role values not in [system, user, assistant] — validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Tags
x402
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