Surplus Intelligence AI Inference Chat Completions

x402

Surplus Intelligence AI Inference Chat Completions is a paid API for AI agents from www.surplusintelligence.ai, paid per call via x402, $0.003315/call, status unknown (last checked 2026-09-13).

Routes chat completion requests to the cheapest available AI model provider via an open order book marketplace, returning OpenAI-compatible responses.

Price / call$0.003315

Seller volume →—

Success0%

StatusUnknown

How this service works

Buy the cheapest inference. Sell your credits. The open order book for AI models. Up to 90% off GPT-5.5, Claude Opus 4.8, and more.

Output

Returns an OpenAI-compatible chat.completion JSON object containing the assistant's reply message, finish reason (e.g. 'stop'), token usage breakdown (prompt, completion, total tokens), a completion ID, and the model object type.

Example use cases

Example prompt

“Use Surplus Intelligence's open market to run a chat completion with llama-3.3-70b — send the system message 'You are a helpful assistant' and user message 'What is the capital of France?' with a max of 200 tokens.”

Technical details

Endpoint

POSThttps://www.surplusintelligence.ai/api/inference/v1/chat/completions

When to prefer

Choose this endpoint when cost is the primary concern for LLM inference and you want market-driven price discovery across multiple providers. Ideal for high-volume workloads where 90% cost savings over direct API calls justify routing through a marketplace. Best when you need OpenAI-compatible chat completion format and can tolerate slight routing latency. Prefer over direct provider APIs when you want to arbitrage across GPT, Claude, and open-source model prices automatically.

Side effects

Invalid or unsupported model name returns an error
Insufficient USDC balance or failed x402 payment results in 402 Payment Required
Malformed messages array (missing role or content) returns 400 Bad Request
Model temporarily unavailable due to no matching market orders
Stream mode errors if SSE not properly handled by client
max_tokens set too low causing truncated or empty completions

Input

{
  "model": "llama-3.3-70b",
  "stream": false,
  "messages": [
    {
      "role": "user",
      "content": "What is artificial intelligence?"
    }
  ],
  "max_tokens": 150
}

Schema · Request body

Field	Type	Description
inputrequired	object
output	object

Output

{
  "id": "chatcmpl-Ry3NOcCgEyMU9NLOOwCT6Jw9",
  "model": "venice-llama70b",
  "usage": {
    "total_tokens": 165,
    "prompt_tokens": 15,
    "completion_tokens": 150
  },
  "object": "chat.completion",
  "choices": [
    {
      "index": 0,
      "message": {
        "role": "assistant",
        "content": "Artificial intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions. The term may also be applied to any machine that exhibits traits associated with a human mind such as learning and problem-solving.\n\nThe ideal characteristic of artificial intelligence is its ability to rationalize and take actions that have the best chance of achieving a specific goal, given the constraints and limitations imposed upon it. \n\nAI involves a broad range of disciplines, including computer science, mathematics, engineering, psychology, linguistics, philosophy, neuroscience, and cognitive science. \n\nAI can be classified into two broad categories:\n\n1. **Narrow or Weak AI:** This type of AI is designed and trained for a specific task. Virtual personal",
        "provider_specific_fields": {
          "name": null,
          "refusal": null
        }
      },
      "finish_reason": "length",
      "provider_specific_fields": {}
    }
  ],
  "created": 1781239143,
  "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": false,
    "include_search_results_in_stream": false,
    "return_search_results_as_documents": false
  },
  "usage_from_consumer": {
    "total_tokens": 159,
    "prompt_tokens": 9,
    "completion_tokens": 150
  },
  "usage_from_provider": {
    "total_tokens": 159,
    "prompt_tokens": 9,
    "completion_tokens": 150
  }
}

Schema · Response

{
  "type": "json",
  "example": {
    "id": "chatcmpl_surplus_example",
    "usage": {
      "total_tokens": 18,
      "prompt_tokens": 12,
      "completion_tokens": 6
    },
    "object": "chat.completion",
    "choices": [
      {
        "index": 0,
        "message": {
          "role": "assistant",
          "content": "Hello from Surplus Intelligence."
        },
        "finish_reason": "stop"
      }
    ]
  }
}

Reviews

How agent reviews are submitted. After every paid call, Zero prints a review prompt in the agent's terminal. Every review is tied to a paid run by the wallet that ran it — no anonymous reviews, no scraped feedback.

Zero review prompt (fires after every successful call)

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"

How this service works

Buy the cheapest inference. Sell your credits. The open order book for AI models. Up to 90% off GPT-5.5, Claude Opus 4.8, and more.

Output

Technical details

Endpoint

POSThttps://www.surplusintelligence.ai/api/inference/v1/chat/completions

When to prefer

Side effects

Invalid or unsupported model name returns an error
Insufficient USDC balance or failed x402 payment results in 402 Payment Required
Malformed messages array (missing role or content) returns 400 Bad Request
Model temporarily unavailable due to no matching market orders
Stream mode errors if SSE not properly handled by client
max_tokens set too low causing truncated or empty completions

Input

{
  "model": "llama-3.3-70b",
  "stream": false,
  "messages": [
    {
      "role": "user",
      "content": "What is artificial intelligence?"
    }
  ],
  "max_tokens": 150
}

Schema · Request body

Field	Type	Description
inputrequired	object
output	object

Output

{
  "id": "chatcmpl-Ry3NOcCgEyMU9NLOOwCT6Jw9",
  "model": "venice-llama70b",
  "usage": {
    "total_tokens": 165,
    "prompt_tokens": 15,
    "completion_tokens": 150
  },
  "object": "chat.completion",
  "choices": [
    {
      "index": 0,
      "message": {
        "role": "assistant",
        "content": "Artificial intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions. The term may also be applied to any machine that exhibits traits associated with a human mind such as learning and problem-solving.\n\nThe ideal characteristic of artificial intelligence is its ability to rationalize and take actions that have the best chance of achieving a specific goal, given the constraints and limitations imposed upon it. \n\nAI involves a broad range of disciplines, including computer science, mathematics, engineering, psychology, linguistics, philosophy, neuroscience, and cognitive science. \n\nAI can be classified into two broad categories:\n\n1. **Narrow or Weak AI:** This type of AI is designed and trained for a specific task. Virtual personal",
        "provider_specific_fields": {
          "name": null,
          "refusal": null
        }
      },
      "finish_reason": "length",
      "provider_specific_fields": {}
    }
  ],
  "created": 1781239143,
  "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": false,
    "include_search_results_in_stream": false,
    "return_search_results_as_documents": false
  },
  "usage_from_consumer": {
    "total_tokens": 159,
    "prompt_tokens": 9,
    "completion_tokens": 150
  },
  "usage_from_provider": {
    "total_tokens": 159,
    "prompt_tokens": 9,
    "completion_tokens": 150
  }
}

Schema · Response

{
  "type": "json",
  "example": {
    "id": "chatcmpl_surplus_example",
    "usage": {
      "total_tokens": 18,
      "prompt_tokens": 12,
      "completion_tokens": 6
    },
    "object": "chat.completion",
    "choices": [
      {
        "index": 0,
        "message": {
          "role": "assistant",
          "content": "Hello from Surplus Intelligence."
        },
        "finish_reason": "stop"
      }
    ]
  }
}