BlockRun Pay-Per-Call AI Chat Completions

x402

BlockRun Pay-Per-Call AI Chat Completions is a paid API for AI agents from blockrun.ai, paid per call via x402, $0.001/call, status unknown (last checked 2026-09-15).

Sends chat messages to AI models (e.g. GPT-4o-mini, Claude Haiku) and returns completions, billed per call in USDC with no API key required.

Price / call$0.001

Seller volume →—

Success—

StatusUnknown

How this service works

Pay for the outcome. One endpoint for every model, tool and data source an agent needs — each call priced before it runs, at the best value per dollar. 103 models and 100 data and tool APIs.

Output

Returns an OpenAI-compatible chat completion object containing the assistant's generated message, finish reason, and token usage counts. If streaming is enabled, returns server-sent events with incremental token chunks.

Example use cases

Example prompt

“Send this conversation to gpt-4o-mini on BlockRun and get a completion — messages are [{role: user, content: 'Explain proof of work in two sentences'}], max 200 tokens, temperature 0.7, no streaming.”

Technical details

Endpoint

POSThttps://blockrun.ai/api/v1/chat/completions

When to prefer

Choose this endpoint when your agent needs LLM completions without managing separate API keys for OpenAI or Anthropic, especially in Web3-native or crypto-payment contexts where paying per call in USDC over Base or Solana is preferred over subscription billing. Ideal for autonomous agents using the x402 payment protocol or frameworks like OpenClaw, Claude Code, or Franklin Agent.

Side effects

Insufficient USDC balance or failed x402 micropayment — returns 402 Payment Required
Invalid or unsupported model ID — returns 400 with model not found error
Messages array missing or malformed — returns 400 validation error
Max tokens exceeds model context limit — returns 400 or truncated response
Network timeout on long completions — returns 504 or partial stream
Rate limiting if too many concurrent calls — returns 429

Input

{
  "model": "gpt-4o-mini",
  "stream": false,
  "messages": [
    {
      "role": "user",
      "content": "What is artificial intelligence?"
    }
  ],
  "max_tokens": 150,
  "temperature": 0.7
}

Schema · Request body

Field	Type	Description
model	string	AI model ID (e.g., gpt-4o-mini, claude-haiku-4.5)
stream	boolean	Enable streaming responses
messages	array	Array of chat messages with role and content
max_tokens	integer	Maximum tokens to generate
temperature	number	Sampling temperature (0-2)

Output

{
  "id": "chatcmpl-DpoJ3QLcWOtNhVbCEqCagyOhVmXoH",
  "model": "gpt-4o-mini",
  "usage": {
    "total_tokens": 204,
    "prompt_tokens": 98,
    "completion_tokens": 106,
    "prompt_tokens_details": {
      "audio_tokens": 0,
      "cached_tokens": 0
    },
    "completion_tokens_details": {
      "audio_tokens": 0,
      "reasoning_tokens": 0,
      "accepted_prediction_tokens": 0,
      "rejected_prediction_tokens": 0
    }
  },
  "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 and learn like humans. This includes capabilities such as problem-solving, understanding natural language, recognizing patterns, and making decisions. AI can be categorized into two main types: narrow AI, which is designed for specific tasks (like virtual assistants or recommendation systems), and general AI, which aims to perform any intellectual task that a human can do. AI technologies include machine learning, neural networks, natural language processing, and robotics, among others."
      },
      "finish_reason": "stop"
    }
  ],
  "created": 1781240477
}

Reviews

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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

Pay for the outcome. One endpoint for every model, tool and data source an agent needs — each call priced before it runs, at the best value per dollar. 103 models and 100 data and tool APIs.

Output

Technical details

Endpoint

POSThttps://blockrun.ai/api/v1/chat/completions

When to prefer

Side effects

Insufficient USDC balance or failed x402 micropayment — returns 402 Payment Required
Invalid or unsupported model ID — returns 400 with model not found error
Messages array missing or malformed — returns 400 validation error
Max tokens exceeds model context limit — returns 400 or truncated response
Network timeout on long completions — returns 504 or partial stream
Rate limiting if too many concurrent calls — returns 429

Input

{
  "model": "gpt-4o-mini",
  "stream": false,
  "messages": [
    {
      "role": "user",
      "content": "What is artificial intelligence?"
    }
  ],
  "max_tokens": 150,
  "temperature": 0.7
}

Schema · Request body

Field	Type	Description
model	string	AI model ID (e.g., gpt-4o-mini, claude-haiku-4.5)
stream	boolean	Enable streaming responses
messages	array	Array of chat messages with role and content
max_tokens	integer	Maximum tokens to generate
temperature	number	Sampling temperature (0-2)

Output

{
  "id": "chatcmpl-DpoJ3QLcWOtNhVbCEqCagyOhVmXoH",
  "model": "gpt-4o-mini",
  "usage": {
    "total_tokens": 204,
    "prompt_tokens": 98,
    "completion_tokens": 106,
    "prompt_tokens_details": {
      "audio_tokens": 0,
      "cached_tokens": 0
    },
    "completion_tokens_details": {
      "audio_tokens": 0,
      "reasoning_tokens": 0,
      "accepted_prediction_tokens": 0,
      "rejected_prediction_tokens": 0
    }
  },
  "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 and learn like humans. This includes capabilities such as problem-solving, understanding natural language, recognizing patterns, and making decisions. AI can be categorized into two main types: narrow AI, which is designed for specific tasks (like virtual assistants or recommendation systems), and general AI, which aims to perform any intellectual task that a human can do. AI technologies include machine learning, neural networks, natural language processing, and robotics, among others."
      },
      "finish_reason": "stop"
    }
  ],
  "created": 1781240477
}