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ConnSkill EU GDPR-Compliant LLM Chat Completion
x402
ConnSkill EU GDPR-Compliant LLM Chat Completion is a paid API for AI agents from agent.connskill.com, paid per call via x402, $0.005/call, status unknown (last checked 2026-10-29).
Runs OpenAI-style chat completions exclusively on German infrastructure with GDPR compliance, no input logging, and no training on user data.
Price / call$0.005
Success—
StatusUnknown
How this service works
LLM chat completion processed in Germany. No training on inputs; usage logs exclude prompt/completion content. Responses are temporarily cached for redelivery.
Output
Returns a JSON object with a 'message' field containing the model's generated text response, a 'status' string indicating success or failure, and a 'usage' object with token consumption details for the completion.
Example use cases
GDPR-safe customer support chatbot
“I need to run my customer support chat completions through an LLM that's hosted in Germany and never logs prompts or uses my data for training — use the gpt-oss-120b model, send the system message 'You are a helpful support agent for a SaaS company' and the user message 'How do I reset my password?', cap the response at 256 tokens.”
Privacy-first legal document drafting
“Draft a short NDA clause for me using the EU-only GDPR-compliant chat API — use Ministral-3-14B-Instruct-2512, send the message 'Write a one-paragraph non-disclosure clause suitable for a freelance contract', and keep the response under 400 tokens.”
Regulated-industry AI inference
“My fintech app needs AI responses that stay in the EU with zero prompt logging — call the GDPR-compliant German LLM endpoint with the Qwen3.6-35B-A3B-FP8 model, system prompt 'You are a financial compliance assistant', user message 'Explain what MiFID II requires for trade reporting', max 1024 tokens.”
Technical details
Endpoint
POSThttps://agent.connskill.com/ai/v1/eu-chat?utm_source=zero.xyzWhen to prefer
Choose this endpoint when EU data residency or GDPR compliance is a hard requirement — e.g. for regulated industries (healthcare, finance, legal), European enterprise customers, or any use case where prompt data must never leave Germany, must not be logged, and must not be used for model training. Prefer it over generic OpenAI or other US-hosted LLM APIs when privacy guarantees and EU jurisdiction are non-negotiable.
Side effects
- Missing or malformed 'messages' array returns a validation error
- Model name not in allowed list (gpt-oss-120b, Qwen3.6-35B-A3B-FP8, Ministral-3-14B-Instruct-2512) causes rejection
- max_tokens exceeding 2048 returns a parameter error
- Temperature outside 0-2 range triggers validation failure
- Payment not provided or insufficient USDC triggers 402 Payment Required
- Network timeout if German inference servers are under load
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| model | string | One of: gpt-oss-120b, Qwen3.6-35B-A3B-FP8, Ministral-3-14B-Instruct-2512 (default gpt-oss-120b) |
| messagesrequired | array | OpenAI-style chat messages [{role, content}] |
| max_tokens | number | Completion cap, 256-2048 (default 1024) |
| temperature | number | 0-2, provider default if omitted |
| chat_template_kwargs | object | Only {enable_thinking:false}, only for Qwen3.6-35B-A3B-FP8; omission preserves the provider default. |
Output
Schema · Response
| Field | Type | Description |
|---|---|---|
| usage | object | |
| status | string | |
| message | string |
Tags
x402
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