ZeroReader Llama 4 Scout 17B Chat Completion

x402

ZeroReader Llama 4 Scout 17B Chat Completion is a paid API for AI agents from api.zeroreader.com, paid per call via x402, $0.005/call, status unknown (last checked 2026-09-30).

Runs chat completions using Meta's Llama 4 Scout 17B mixture-of-experts model via ZeroReader's API, paid per call with USDC.

Price / call$0.005

Seller volume →—

Success—

StatusUnknown

How this service works

Llama 4 Scout 17B — Latest Llama 4 architecture. 17B with 16 experts.

Output

A chat completion object (OpenAI-compatible format) containing the assistant's generated reply, the finish reason (e.g. 'stop'), and metadata like the completion ID and choice index.

Example use cases

Example prompt

“Send these messages to Llama 4 Scout 17B and get a response: system says 'You are a helpful assistant', user asks 'Explain mixture-of-experts models in simple terms' — use a temperature of 0.7 and limit the output to 512 tokens.”

Technical details

Endpoint

POSThttps://api.zeroreader.com/v1/ai/llama-4-scout?utm_source=zero.xyz

When to prefer

Choose this endpoint when you need fast, cost-effective chat completions from the latest Llama 4 architecture with mixture-of-experts efficiency, and you want to pay per-call in USDC without a subscription. Prefer it over DeepSeek R1 for general conversation/generation tasks (not heavy math/logic), and over larger models when latency and cost matter more than maximum capability.

Side effects

Payment failure if insufficient USDC balance — 402 Payment Required
Token limit exceeded if max_tokens > 4096 — validation error
Malformed messages array (missing role or content) — 400 Bad Request
Temperature out of range (>2 or <0) — 400 Bad Request
Model overload or timeout — 503 Service Unavailable

Input

Schema · Request body

Field	Type	Description
stream	boolean
messages	array
max_tokens	integer
temperature	number

Output

Schema · Response

{
  "id": "chatcmpl-example",
  "object": "chat.completion",
  "choices": [
    {
      "index": 0,
      "message": {
        "role": "assistant",
        "content": "I'm doing well!"
      },
      "finish_reason": "stop"
    }
  ]
}

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