Aayat AI Fast LLM Chat (Llama 3.2 3B)

x402

Aayat AI Fast LLM Chat (Llama 3.2 3B) is a paid API for AI agents from aayatai.com, paid per call via x402, $0.003/call, status unknown (last checked 2026-10-02).

Pay-per-call LLM inference using Llama 3.2 3B for fast, cheap text classification, extraction, short-answer generation, and routing tasks — no API key required.

Price / call$0.003

Seller volume →—

Success—

StatusUnknown

How this service works

Pay-per-call LLM chat (Llama 3.2 3B): Fast, cheap model for classification, extraction, short answers and routing. No API key or account. POST JSON {"prompt": "..."} or OpenAI-style {"messages": [{"role": "user", "content": "..."}]}, optional "system", "max_tokens" (up to 1024), "temperature", "json": true. Up to about 15,000 characters of English in. Failed calls are not charged.

Output

Returns a JSON object containing the generated text under 'text', the model identifier under 'model' (e.g. '@cf/meta/llama-3.2-3b-instruct'), and a 'usage' object with 'promptTokens' and 'completionTokens' counts. When json mode is enabled, the 'text' field contains valid JSON output.

Example use cases

Intent routing in an agent pipeline

“Figure out whether this user message is asking to book a flight, check a balance, or do something else entirely — just return the intent label as JSON: 'Can you show me my account statement from last month?'”

Structured data extraction from text

“Pull out the product name, price, and quantity from this order confirmation snippet and give me the result as JSON: 'You ordered 3x Wireless Earbuds Pro at $49.99 each, total $149.97.'”

Quick factual short-answer generation

“In one or two sentences, explain what the x402 payment protocol is — keep it concise, plain English, no more than 100 tokens.”

Technical details

Endpoint

POSThttps://aayatai.com/chat/fast?utm_source=zero.xyz

When to prefer

Choose this endpoint when you need fast, cheap LLM inference for simple tasks like classification, short extraction, or routing and want to avoid API key provisioning or account setup. It is ideal for high-volume, low-complexity agentic subtasks where cost per call matters and a 3B-parameter model is sufficient. Prefer larger hosted LLMs (GPT-4, Claude) when the task requires deep reasoning, long context, or high accuracy on complex language understanding.

Side effects

Prompt or messages exceeding ~15,000 characters may be rejected or truncated
max_tokens above 1024 will be rejected by schema validation
Malformed request body (missing both prompt and messages) returns an error and is not charged
Ambiguous or very long prompts may produce truncated or low-quality outputs due to the small 3B model size
Network timeouts on the caller side; failed calls are not billed

Input

Schema · Request body

Field	Type	Description
json	boolean	Ask for JSON-only output.
prompt	string	A single user message (use this or messages).
system	string	System instructions.
messages	array	Conversation so far, OpenAI style: [{role, content}].
max_tokens	integer	Most tokens to generate (default 512).
temperature	number	Randomness, 0-2.

Output

Schema · Response

{
  "type": "json",
  "example": {
    "text": "x402 is an open protocol that lets clients pay for HTTP requests with stablecoins using the 402 status code.",
    "model": "@cf/meta/llama-3.2-3b-instruct",
    "usage": {
      "promptTokens": 24,
      "completionTokens": 26
    }
  }
}

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