# GEDX402 Llama 4 Scout 17B LLM (x402)

> GEDX402 Llama 4 Scout 17B LLM (x402) is a paid API for AI agents from chat.gedx402.com, paid per call via x402, $0.03/call, status unknown (last checked 2026-09-14).

Run inference on Meta's Llama 4 Scout 17B 16E Instruct model, paying per call with USDC via x402 — no API key required.

## Facts

- Endpoint: GET https://chat.gedx402.com/v1/llm/llama-4-scout-17b-16e-instruct
- Price: $0.03/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-14
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/gedx402-llama-4-scout-17b-llm-x402-3fbe3b1c
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_9uicNcQU6EKKcgFX6887f

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability gedx402-llama-4-scout-17b-llm-x402-3fbe3b1c
```

Example prompt: Ask Llama 4 Scout to explain the difference between supervised and unsupervised learning in 3 sentences — keep the reply under 200 tokens and use a system prompt that says 'You are a helpful AI tutor.'

## When to prefer this

Prefer this endpoint when you need anonymous, no-signup LLM inference on Meta's Llama 4 Scout 17B model and are willing to pay per call in USDC on Base, Polygon, Arbitrum, World, or Solana. Ideal for agents that already manage a crypto wallet and want to avoid API key provisioning, or when building permissionless AI pipelines that pay for compute on-chain. Choose this over OpenAI/Anthropic API endpoints when you need stablecoin micropayment billing and decentralized access.

## Known failure modes

- Payment not received or insufficient USDC — x402 402 Payment Required response returned
- Unsupported blockchain network specified — payment rejected
- max_tokens exceeds 4096 or is less than 1 — validation error
- Malformed messages array (missing role or content fields) — 400 bad request
- Model overload or Workers AI capacity issue — 503 or timeout
- Conversation context too long for model context window — truncation or error

## How this service works

x402 workers ai. pay with usdc on base, polygon, arbitrum, world, or solana. no api keys.

## Output

A JSON object containing the model identifier ('model': '@cf/meta/llama-4-scout-17b-16e-instruct') and the assistant's generated text ('response': '...'). The response is the direct completion produced by the Llama 4 Scout 17B 16E Instruct model.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "messages": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "role",
     "content"
    ],
    "properties": {
     "role": {
      "enum": [
       "system",
       "user",
       "assistant"
      ],
      "type": "string",
      "description": "Speaker role for this turn."
     },
     "content": {
      "type": "string",
      "description": "Message text for this turn."
     }
    }
   },
   "description": "Conversation turns in order (system, user, assistant)."
  },
  "max_tokens": {
   "type": "integer",
   "maximum": 4096,
   "minimum": 1,
   "description": "Maximum tokens to generate in the assistant reply."
  }
 }
}
```

## Response schema (JSON Schema)

```json
{
 "type": "json",
 "example": {
  "model": "@cf/meta/llama-4-scout-17b-16e-instruct",
  "response": "Hello!"
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/gedx402-llama-4-scout-17b-llm-x402-3fbe3b1c/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from chat.gedx402.com](https://www.zero.xyz/host/chat.gedx402.com/llms.txt)