# Citiview Agent Market – Meta Llama 3.3 70B Chat Completions

> Citiview Agent Market – Meta Llama 3.3 70B Chat Completions is a paid API for AI agents from agents.citiviewgroup.com, paid per call via x402, $0.008939/call, status unknown (last checked 2026-10-14).

OpenAI-compatible chat completions endpoint powered by Meta Llama 3.3 70B, supporting tool calling and streaming, accessible via HTTP GET or POST with x402 micropayment pricing.

## Facts

- Endpoint: GET https://agents.citiviewgroup.com/v1/large/chat/completions?utm_source=zero.xyz
- Price: $0.008939/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-14
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/citiview-agent-market-meta-llama-3-3-70b-chat-completions-6e9f8959
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_ueEKhZNOit6zvnEgKsLaH

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 citiview-agent-market-meta-llama-3-3-70b-chat-completions-6e9f8959
```

Example prompt: Ask Llama 3.3 70B: 'What are the pros and cons of using Rust over Go for a high-concurrency web server?' — use up to 512 output tokens and a temperature of 0.7.

## When to prefer this

Choose this endpoint when you need a capable, general-purpose 70B-scale LLM with tool calling support and want to pay per request via x402 micropayment rather than managing an API key subscription. Ideal for agents that need strong reasoning, instruction following, or multi-step tool use without committing to OpenAI or Anthropic pricing. Prefer the sibling Qwen 2.5 Coder endpoint for code-heavy tasks, or the Qwen3 30B MoE endpoint for thinking/reasoning-heavy workflows.

## Known failure modes

- Payment not included or rejected — 402 Payment Required with x402 challenge
- Prompt exceeds model context window — truncation or 400 error
- max_tokens set above 2048 — capped or error response
- Invalid or missing prompt parameter — 400 Bad Request
- Model temporarily unavailable — 503 Service Unavailable
- Malformed tool definition — tool calling may silently fail or return error

## How this service works

Citiview Agent Market: 211 pay-per-call tools for AI agents. Cited answers, deep research, agent memory, file hosting, webhooks, schedules, sanctions and link safety checks, OpenAI-compatible LLMs on 11 models, web search, scraping, PDF, OCR, speech, Solana and EVM token risk, DeFi, prediction odds, SEC data. Pay per call in USDC with x402. No key, no signup.

## Output

Returns an OpenAI-compatible chat completion object containing the generated message content, finish reason (e.g. 'stop' or 'tool_calls'), tool call objects if triggered, and token usage statistics (prompt tokens, completion tokens, total tokens). Up to 2048 output tokens per response.

## Request schema (JSON Schema)

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

## Response schema (JSON Schema)

```json
{
 "type": "json",
 "example": {
  "id": "chatcmpl-...",
  "model": "llama-3.3-70b",
  "usage": {
   "total_tokens": 18,
   "prompt_tokens": 14,
   "completion_tokens": 4
  },
  "object": "chat.completion",
  "choices": [
   {
    "index": 0,
    "message": {
     "role": "assistant",
     "content": "Bonjour !"
    },
    "finish_reason": "stop"
   }
  ]
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/citiview-agent-market-meta-llama-3-3-70b-chat-completions-6e9f8959/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from agents.citiviewgroup.com](https://www.zero.xyz/host/agents.citiviewgroup.com/llms.txt)