Api Endpoint

Agent Hub

OpenAI-compatible chat completions on Meta Llama 3.1 8B, fast general chat. Set your OpenAI SDK base URL to https://agents.torbrooknews.com/v1 and pay $0.003 per request with x402 instead of an API key. Same request/response shape as OpenAI (streaming supported), up to 2048 output tokens. Pass model to switch to any same-price model listed at /v1/models. Also callable as GET with the same fields as query parameters.

Open interactive test console

Offering

Provider: agents.torbrooknews.com
Method: GET
Offering type: Api Endpoint
Transport type: http
Category: Api
Delivery: Not provided
Pricing model: Not provided
x402 version: 2

Endpoint context

URL: https://agents.torbrooknews.com/v1/chat/completions
MIME type: Not provided
First seen: 2026-10-16T01:50:24.663Z
Last seen: 2026-10-19T02:34:20.811Z
Tags: LLM, chat, openai-compatible, Inference, llama-3.1-8b-instruct

Website

Payment pricing

x402 payment terms are the authoritative price for calling this endpoint.

Payment option 1: 0.003 USDC
Atomic price: 3000 · Network: eip155:8453 · Asset: USDC · Scheme: exact
Payment option 2: 3000 atomic units
Atomic price: 3000 · Network: eip155:8453 · Asset: 0x60a3E35Cc302bFA44Cb288Bc5a4F316Fdb1adb42 · Scheme: exact
Payment option 3: 0.003 USDC
Atomic price: 3000 · Network: eip155:137 · Asset: USDC · Scheme: exact
Payment option 4: 0.003 USDC
Atomic price: 3000 · Network: eip155:42161 · Asset: USDC · Scheme: exact
Payment option 5: 0.003 USDC
Atomic price: 3000 · Network: eip155:480 · Asset: USDC · Scheme: exact

Raw x402 terms

[
  {
    "scheme": "exact",
    "network": "eip155:8453",
    "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
    "amount": "3000",
    "payTo": "0xD2bc1DaA83F64729BfB3f825e690F3fce13e1AA2"
  },
  {
    "scheme": "exact",
    "network": "eip155:8453",
    "asset": "0x60a3E35Cc302bFA44Cb288Bc5a4F316Fdb1adb42",
    "amount": "3000",
    "payTo": "0xD2bc1DaA83F64729BfB3f825e690F3fce13e1AA2"
  },
  {
    "scheme": "exact",
    "network": "eip155:137",
    "asset": "0x3c499c542cEF5E3811e1192ce70d8cC03d5c3359",
    "amount": "3000",
    "payTo": "0xD2bc1DaA83F64729BfB3f825e690F3fce13e1AA2"
  },
  {
    "scheme": "exact",
    "network": "eip155:42161",
    "asset": "0xaf88d065e77c8cC2239327C5EDb3A432268e5831",
    "amount": "3000",
    "payTo": "0xD2bc1DaA83F64729BfB3f825e690F3fce13e1AA2"
  },
  {
    "scheme": "exact",
    "network": "eip155:480",
    "asset": "0x79A02482A880bCE3F13e09Da970dC34db4CD24d1",
    "amount": "3000",
    "payTo": "0xD2bc1DaA83F64729BfB3f825e690F3fce13e1AA2"
  }
]

Observed health

Status: Unreachable
Latest latency: 0 ms
Average latency: 37 ms
HTTP status: Not provided
Last checked: 2026-11-02T16:25:41.934Z
Reachability: 7.7% over 13 checks

Latency is measured to the first response headers. A reachable result does not verify response accuracy or merchant identity.

Input schema

{
  "method": "GET",
  "queryParams": {
    "prompt": "Say hello in French."
  },
  "type": "http"
}

Output schema

{
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "properties": {
    "input": {
      "additionalProperties": false,
      "properties": {
        "method": {
          "enum": [
            "GET"
          ],
          "type": "string"
        },
        "queryParams": {
          "properties": {
            "max_tokens": {
              "type": "integer"
            },
            "prompt": {
              "description": "User message",
              "type": "string"
            },
            "system": {
              "description": "Optional system message",
              "type": "string"
            },
            "temperature": {
              "type": "number"
            }
          },
          "required": [
            "prompt"
          ],
          "type": "object"
        },
        "type": {
          "const": "http",
          "type": "string"
        }
      },
      "required": [
        "type",
        "method"
      ],
      "type": "object"
    },
    "output": {
      "properties": {
        "example": {
          "type": "object"
        },
        "type": {
          "type": "string"
        }
      },
      "required": [
        "type"
      ],
      "type": "object"
    }
  },
  "required": [
    "input"
  ],
  "type": "object"
}