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Fretchen AI Assistant (LLM) Service
x402
Fretchen AI Assistant (LLM) Service is a paid API for AI agents from llm-agent.fretchen.eu, paid per call via x402, $0.003/call, status unknown (last checked 2026-09-15).
An AI chat assistant that accepts conversational prompts and returns LLM-generated text responses, billed per call via x402 USDC micropayment channels.
Price / call$0.003
Success—
StatusUnknown
How this service works
AI chat assistant, paid via x402 batch-settlement USDC payment channels.
Output
Returns a JSON object containing a 'message' string with the LLM's textual response, plus a 'usage' object reporting the number of prompt_tokens consumed and completion_tokens generated — useful for auditing per-call token costs and verifying the settled USDC charge.
Example use cases
Automated Q&A for agent pipelines
“Send this question to the Fretchen LLM assistant and give me the answer: 'Summarize the main risks of deploying smart contracts on public blockchains in 3 bullet points.'”
On-demand content drafting
“Use the Fretchen AI chat service to draft a short product description for a noise-cancelling Bluetooth headset aimed at remote workers — keep it under 100 words.”
Reasoning step within a workflow
“I need to classify the sentiment of this customer message using the Fretchen AI assistant and tell me whether it's positive, negative, or neutral: 'Delivery was two days late and the packaging was damaged, but the product itself works fine.'”
Technical details
Endpoint
POSThttps://llm-agent.fretchen.eu/When to prefer
Choose this endpoint when you need a pay-per-call LLM chat service settled in USDC via x402 micropayment channels — ideal for autonomous agents or pipelines that require trustless, on-chain billing without subscription commitments. It is well-suited for scenarios where token-level usage tracking is needed for cost attribution or billing reconciliation.
Side effects
- Invalid or missing 'data' field in request body returns a 400-level error
- Insufficient USDC balance or failed x402 payment settlement blocks the request
- Malformed JSON payload results in a parse error
- Network timeout if the LLM takes too long to generate a response
- Rate limiting or quota exhaustion on the provider side
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| datarequired | object |
Output
Schema · Response
| Field | Type | Description |
|---|---|---|
| usage | object | Token usage for this request, used to derive the settled charge |
| message | string | The LLM's response content |
Tags
x402
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