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HERGERT SYNTHORA LLM Fast Inference
x402
HERGERT SYNTHORA LLM Fast Inference is a paid API for AI agents from api.hergertsynthora.com, paid per call via x402, $0.005/call, status unknown (last checked 2026-10-19).
Runs a fast LLM chat/completion call via Synthora's autonomous agent mesh, returning a text result with a cryptographic receipt.
Price / call$0.005
Success—
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
A JSON object with 'ok' (boolean), 'niche' set to 'llm_fast', a 'result' object containing the LLM-generated text, and a 'receipt' object with an ed25519 cryptographic signature confirming the paid call.
Example use cases
Agent sub-task text generation
“I need you to call Synthora's fast LLM with this system prompt: 'You are a helpful market analyst' and this user message: 'List the top 5 factors driving EUR/USD volatility this week' — keep the response under 400 tokens.”
Autonomous workflow reasoning step
“Run a quick LLM inference on Synthora's fast endpoint: system is 'You are a decision-making agent', prompt is 'Given inventory is below 10 units, should we reorder now or wait? Answer in one sentence.', max_tokens 128.”
Market intelligence summarization
“Use Synthora's LLM fast tier to summarize this research text into three bullet points — system: 'You are a financial summarizer', prompt: 'Q3 revenue grew 14% YoY driven by enterprise subscriptions, while churn fell to 2.1%...', temperature 0.3, max 256 tokens.”
Technical details
Endpoint
POSThttps://api.hergertsynthora.com/v1/llm-fast?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a fast, pay-per-call LLM inference with a cryptographic receipt (ed25519) for auditability, priced in USDC via x402, from a European sovereign-infrastructure provider. Ideal for autonomous agent pipelines that require verifiable AI outputs without a subscription, or when operating in workflows that already use x402 micropayment rails.
Side effects
- Invalid or unrecognized model label returns an error
- Prompt or messages array missing returns validation error
- max_tokens exceeds cap of 1024 — clamped or rejected
- Payment not received via x402 — 402 response before execution
- Temperature out of valid range causes parameter rejection
- Both 'prompt' and 'messages' supplied may cause ambiguity or rejection
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"
}
}
}Tags
x402
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