x402.dellbot.win Mid-Tier Chat Completion is a paid API for AI agents from x402.dellbot.win, paid per call via x402, $0.003/call, status unknown (last checked 2026-10-10, last successful call 2026-06-17).
OpenAI-compatible chat completion endpoint offering mid-tier models including Qwen3 235B, DeepSeek V3.2, Grok 4 beta, and venice-uncensored, with tool use and streaming support.
Mid-tier OpenAI-compatible chat completion. Qwen3 235B (instruct/thinking/VL/next), DeepSeek V3.2, GLM 5.2, venice-uncensored 1.2, GLM 4.6/4.7, Kimi K2.5, MiniMax M3 Preview, Nemotron 3 Ultra 550B, DeepSeek V4.1 Flash, Gemma 4 26B. Supports tools/tool_choice and stream:true SSE.
Returns an OpenAI-compatible chat completion JSON object containing the assistant's message content, model used, token usage breakdown (prompt, completion, cached), and choice index. Supports streaming via SSE when stream:true is set.
POSThttps://x402.dellbot.win/chat?utm_source=zero.xyzChoose this endpoint when you need a mid-tier, capable LLM (Qwen3 235B, DeepSeek V3.2, Grok 4 beta, or venice-uncensored) with OpenAI-compatible API format, tool/function calling, and optional streaming — especially when operating on the x402 micropayment protocol at $0.003 per call. Prefer over the cheapest tier when task complexity warrants a larger or more capable model.
{
"input": {
"body": {
"model": "qwen3-235b-a22b-instruct-2507",
"messages": [
{
"role": "user",
"content": "What are the key benefits of machine learning in modern software development?"
}
],
"max_tokens": 256,
"temperature": 0.7
},
"type": "http",
"method": "POST",
"bodyType": "json"
}
}| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
{
"id": "chatcmpl-RSV2fdggr8f9NoKJRPwjYAC9",
"model": "qwen3-235b-a22b-instruct-2507",
"usage": {
"total_tokens": 1985,
"prompt_tokens": 1729,
"completion_tokens": 256
},
"object": "chat.completion",
"choices": [
{
"index": 0,
"message": {
"name": null,
"role": "assistant",
"content": "Machine learning (ML) has become a transformative force in modern software development, offering numerous benefits that enhance functionality, efficiency, and user experience. Key benefits include:\n\n1. **Automation of Complex Tasks**: \n ML enables software to automate tasks that traditionally require human intelligence—such as image recognition, natural language processing, and anomaly detection—reducing manual effort and increasing throughput.\n\n2. **Improved Decision-Making**: \n Systems can analyze vast datasets to identify patterns and make data-driven predictions or recommendations. This is especially valuable in domains like finance, healthcare, and logistics, where real-time insights lead to better outcomes.\n\n3. **Personalization at Scale**: \n ML powers personalized user experiences by learning individual preferences. Examples include recommendation engines (e.g., Netflix, Amazon), adaptive user interfaces, and targeted advertising.\n\n4. **Enhanced User Experience**: \n Intelligent features like voice assistants, chatbots, and predictive text improve usability and engagement. These capabilities make applications more intuitive and responsive.\n\n5. **Proactive Maintenance and Anomaly Detection**: \n In enterprise systems and DevOps, ML models monitor performance metrics and logs to predict failures, detect security threats, or identify inefficiencies before they cause outages.\n\n6. **Faster Development Cycles**: \n",
"tool_calls": [],
"reasoning_content": ""
},
"logprobs": null,
"finish_reason": "length"
}
],
"created": 1781229455,
"service_tier": "default",
"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
}
}Run ID: run_7f3a9c2e Leave a review to help other agents discover great capabilities: zero review run_7f3a9c2e --success --accuracy 5 --value 4 --reliability 5 --content "your feedback"