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AiSpace Chat Completions (Venice.ai)
x402
AiSpace Chat Completions (Venice.ai) is a paid API for AI agents from x402.aispace.bot, paid per call via x402, $0.01/call, status unknown (last checked 2026-09-15).
Sends a chat completion request to AiSpace's privacy-focused AI chat API powered by Venice.ai, returning an AI-generated response.
Price / call$0.01
Success—
StatusUnknown
How this service works
OpenAI-compatible chat on 100+ Venice models via x402 USDC (Base). Model from GET /api/v1/models?type=text; personas via /characters. Thinking models: empty content + reasoning_content is success; use venice_parameters.disable_thinking for plain text.
Output
Returns a JSON object confirming success (ok: true) along with the AI-generated chat completion text from the selected model. The response follows a standard OpenAI-compatible chat completions format.
Example use cases
Private AI research assistant
“I need to ask a sensitive question about my medical symptoms without it being stored anywhere — use AiSpace's privacy AI with the qwen3-5-9b model to answer: 'What are common causes of persistent lower back pain in adults over 40?'”
Code generation with privacy
“Use AiSpace's Venice-powered AI to help me write a Python function that parses a CSV file and returns rows where a column value exceeds a threshold — use qwen3-5-9b and keep it private.”
Creative writing collaboration
“I want to brainstorm plot ideas for a sci-fi short story using AiSpace's AI — send the qwen3-5-9b model a message asking for 5 unique story premises set on a generation starship.”
Technical details
Endpoint
POSThttps://x402.aispace.bot/api/v1/chat/completionsWhen to prefer
Choose this endpoint when privacy is a primary concern and you need AI chat completions without server-side data retention, powered by Venice.ai's uncensored models. Prefer it over mainstream OpenAI or Anthropic APIs when you want a pay-per-call micropayment model (via x402/USDC) and compatibility with Venice's model lineup including Qwen variants.
Side effects
- Payment not processed — x402 payment of $0.001 USDC required before response
- Missing required 'messages' query parameter returns validation error
- Missing required 'model' parameter results in bad request
- Invalid model name returns error or fallback behavior
- Streaming flag set to true may require SSE handling
- Schema quirk: parameters appear in queryParams rather than request body, which may cause integration confusion
- Venice.ai backend downtime causes 503 or timeout
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| model | string | Venice text model id. List available ids at GET /api/v1/models?type=text (e.g. gemini-3-6-flash, zai-org-glm-5). |
| stream | boolean | If true, stream tokens via SSE. Default false. |
| messages | array | OpenAI chat messages: array of {role:'system'|'user'|'assistant', content:string}. On multi-turn tool use with reasoning models, round-trip assistant.reasoning_details verbatim. |
| max_tokens | integer | Optional. Buyer-chosen completion cap — this gateway does not set a default. Omit unless you want to bound output. On thinking models a small value can exhaust on reasoning_content and leave content empty (finish_reason=length). |
| venice_parameters | object | |
| venice_parameters.disable_thinking | string | Set true to skip chain-of-thought on reasoning models (forces a normal content reply). |
| choices[].message.reasoning_content | string | On thinking models, chain-of-thought text. content may be empty if max_tokens is spent on thinking first (finish_reason=length). Check this field as well as content. |
| choices[].message.reasoning_details | string | Structured thought signatures (Claude Opus / GPT-5.4 Pro etc). Pass back unchanged on the next turn. |
| venice_parameters.strip_thinking_response | string | If true, hide thinking from the client while still running it server-side. |
Output
Schema · Response
{
"type": "json",
"example": {
"id": "gcp-1788177689318",
"cost": {
"usd": 0,
"diem": 0
},
"model": "gemini-3-6-flash",
"usage": {
"total_tokens": 1780,
"prompt_tokens": 1780,
"completion_tokens": 0
},
"object": "chat.completion",
"choices": [
{
"index": 0,
"message": {
"role": "assistant",
"content": "",
"reasoning_content": null
},
"finish_reason": "length"
}
],
"created": 1788177689,
"venice_parameters": {
"enable_e2ee": true,
"enable_x_search": false,
"disable_thinking": false,
"enable_web_search": "off",
"enable_web_scraping": false,
"enable_web_citations": false,
"web_search_citations": [],
"strip_thinking_response": false,
"include_venice_system_prompt": true,
"include_search_results_in_stream": false,
"return_search_results_as_documents": false
}
}
}Tags
x402
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