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Citiview Mistral Small 3.1 24B Chat Completions
x402
Citiview Mistral Small 3.1 24B Chat Completions is a paid API for AI agents from agents.citiviewgroup.com, paid per call via x402, $0.003727/call, status unknown (last checked 2026-10-14).
OpenAI-compatible chat completions using Mistral Small 3.1 24B with tool calling and image input, billed per request via x402 micropayments
Price / call$0.003727
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, token usage stats, finish reason, and optionally tool call payloads or image-grounded responses. Maximum 2048 output tokens per request.
Example use cases
Vision-enabled document analysis
“I have an image of a receipt — can you send it to the Mistral vision model and extract the total amount, date, and merchant name from it?”
Tool-calling agent task delegation
“Use the Mistral 24B model with tool calling to look up today's weather in Berlin and then draft a short trip advisory based on the result.”
Pay-per-use LLM for prototyping
“I don't want to pay for a monthly OpenAI subscription — can you call the Mistral Small model at agents.citiviewgroup.com to answer my customer's question: 'What is the return policy for digital goods?'”
Technical details
Endpoint
GEThttps://agents.citiviewgroup.com/v1/mistral/chat/completions?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a capable multimodal LLM (vision + tool calling) on a pay-per-request basis without committing to a monthly API subscription. Prefer it over OpenAI GPT-4 when cost per call matters and Mistral Small 3.1 quality is sufficient. Prefer over the sibling Llama 3.1 8B endpoint when you need stronger reasoning, tool calling, or image understanding. Ideal for agentic pipelines that need occasional LLM calls billed in USDC via x402.
Side effects
- Missing required 'prompt' query parameter returns a validation error
- Payment failure via x402 returns 402 Payment Required
- Exceeding 2048 output token limit truncates response at finish_reason=length
- Invalid temperature or max_tokens values may return a 400 error
- Image URLs that are inaccessible or non-image content cause input parsing failures
- Model overload may cause timeout or 503 errors
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"id": "chatcmpl-...",
"model": "mistral-small-3.1-24b",
"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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