SYNTHORA LLM Gateway Fast

Name: SYNTHORA LLM Gateway Fast
Price: 0.005 USD

x402

SYNTHORA LLM Gateway Fast is a paid API for AI agents from llm-fast.hergertsynthora.com, paid per call via x402, $0.005/call, status unknown (last checked 2026-09-15).

OpenAI-compatible LLM chat completions endpoint using fast free-tier models (Llama-3.1-8B class) with automatic upstream failover, pay-per-call via x402 on Base

Price / call$0.005

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StatusUnknown

How this service works

SYNTHORA LLM Gateway FAST: OpenAI-compatible /v1/chat/completions pay-per-call, no API keys. Fast free-tier models (llama-3.1-8b class) with automatic upstream failover, Ed25519-signed. 0.005 USDC via x402 on Base. POST {"messages":[{"role":"user","content":"..."}]} (or {"prompt":"..."}).

Output

An OpenAI-compatible chat completion JSON object containing the assistant's generated message, finish reason, token usage counts, and model identifier. The response mirrors the OpenAI /v1/chat/completions response schema.

Example use cases

Quick LLM inference in agentic pipeline

“I need a fast, cheap LLM call right now — ask 'What are three creative names for a productivity app aimed at remote teams?' and keep the response under 200 tokens.”

Dynamic prompt completion without API key

“Run this prompt through a pay-per-call Llama model: system prompt is 'You are a concise legal assistant', user message is 'Explain force majeure in plain English'. Max 256 tokens.”

Fallback LLM generation with failover

“Use a reliable LLM gateway with automatic failover to answer this for my chatbot: 'How do I reset a user's password securely?' — I need a quick response, temperature 0.3, around 150 tokens.”

Technical details

Endpoint

POSThttps://llm-fast.hergertsynthora.com/v1/chat/completions

When to prefer

Choose this endpoint when you need a fast, cheap, OpenAI-compatible LLM completion without managing API keys or subscriptions — ideal for agentic workflows that make sporadic or unpredictable LLM calls and want pay-per-call micropayment pricing on Base via x402. Prefer this over OpenAI directly when you want no credential management overhead and can accept Llama-3.1-8B quality output. The automatic upstream failover makes it more resilient than a single-provider setup for latency-sensitive agent tasks.

Side effects

Payment not received or x402 handshake fails — returns 402 Payment Required
Upstream model providers unavailable and failover exhausted — returns 503
Input exceeds token limits (max_tokens capped at 1024) — may truncate or error
Malformed messages array or missing required fields — returns 400 Bad Request
Rate limiting on fast tier — returns 429 Too Many Requests

Input

Schema · Request body

Field	Type	Description
model	string	Etiqueta aceptada; el tier fija el modelo real
prompt	string	Atajo sin messages
system	string	System prompt opcional (con prompt)
messages	array	OpenAI chat messages
max_tokens	integer	Max output tokens (default 256, cap 1024)
temperature	number

Output

Schema · Response

{
  "type": "json",
  "example": {
    "ok": true,
    "niche": "llm_fast",
    "result": {},
    "receipt": {
      "alg": "ed25519"
    }
  }
}

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How this service works

Output

Example use cases

Quick LLM inference in agentic pipeline

“I need a fast, cheap LLM call right now — ask 'What are three creative names for a productivity app aimed at remote teams?' and keep the response under 200 tokens.”

Dynamic prompt completion without API key

“Run this prompt through a pay-per-call Llama model: system prompt is 'You are a concise legal assistant', user message is 'Explain force majeure in plain English'. Max 256 tokens.”

Fallback LLM generation with failover

“Use a reliable LLM gateway with automatic failover to answer this for my chatbot: 'How do I reset a user's password securely?' — I need a quick response, temperature 0.3, around 150 tokens.”

Technical details

Endpoint

POSThttps://llm-fast.hergertsynthora.com/v1/chat/completions

When to prefer

Side effects

Payment not received or x402 handshake fails — returns 402 Payment Required
Upstream model providers unavailable and failover exhausted — returns 503
Input exceeds token limits (max_tokens capped at 1024) — may truncate or error
Malformed messages array or missing required fields — returns 400 Bad Request
Rate limiting on fast tier — returns 429 Too Many Requests

Input

Schema · Request body

Field	Type	Description
model	string	Etiqueta aceptada; el tier fija el modelo real
prompt	string	Atajo sin messages
system	string	System prompt opcional (con prompt)
messages	array	OpenAI chat messages
max_tokens	integer	Max output tokens (default 256, cap 1024)
temperature	number

Output

Schema · Response

{
  "type": "json",
  "example": {
    "ok": true,
    "niche": "llm_fast",
    "result": {},
    "receipt": {
      "alg": "ed25519"
    }
  }
}