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Citiview Agent Market – Chat Completions (Llama 3.1 8B)
x402
Citiview Agent Market – Chat Completions (Llama 3.1 8B) is a paid API for AI agents from agents.citiviewgroup.com, paid per call via x402, $0.003183/call, status unknown (last checked 2026-10-14).
OpenAI-compatible chat completions powered by Meta Llama 3.1 8B, callable via GET or POST with a prompt and optional system message, billed per request via x402.
Price / call$0.003183
Success—
StatusUnknown
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 assistant's generated message text, finish reason, and token usage counts. Streaming is supported for incremental token delivery.
Example use cases
On-demand AI answer without subscription
“Using a pay-per-call Llama chat endpoint, ask: 'Explain the difference between supervised and unsupervised learning in two sentences.' Set the system message to 'You are a concise machine learning tutor' and limit the output to 150 tokens.”
Prototyping chatbot with Llama backend
“Send a chat message to the Llama 3.1 8B model asking 'Draft a polite out-of-office email reply for a one-week vacation' — use the OpenAI-compatible endpoint so I can drop it right into my existing SDK code, no API key needed.”
Temperature-controlled creative writing
“Hit the chat completions endpoint with the prompt 'Write the opening paragraph of a noir detective story set in 1940s Tokyo', set temperature to 0.9 for creativity, and allow up to 500 output tokens.”
Technical details
Endpoint
GEThttps://agents.citiviewgroup.com/v1/chat/completions?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a fast, OpenAI SDK-compatible chat completion without a monthly subscription, want per-request micropayment billing via x402 USDC, or are working with Meta Llama 3.1 8B specifically. Prefer it for lightweight, cost-controlled agentic workflows where paying per call is better than a flat-rate plan.
Side effects
- Missing or empty prompt parameter returns a validation error
- Exceeding 2048 output tokens silently truncates or returns an error
- Payment failure via x402 results in a 402 Payment Required response
- Invalid model name passed to the model field returns a 404 or error response
- Malformed query parameters on GET requests cause a 400 Bad Request
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"id": "chatcmpl-...",
"model": "llama-3.1-8b-instruct",
"usage": {
"total_tokens": 18,
"prompt_tokens": 14,
"completion_tokens": 4
},
"object": "chat.completion",
"choices": [
{
"index": 0,
"message": {
"role": "assistant",
"content": "Bonjour !"
},
"finish_reason": "stop"
}
]
}
}Tags
x402
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