$0.01
per call · USD Coin on Base
Generate one bounded assistant response with the operator's self-hosted Ollama model. Use for short, single-message inference where local processing is preferred. Accepts up to 8,000 characters and returns the model name, response text, and token counts when Ollama supplies them.
Endpoint
POST https://fetchharbor.benlab.download/chat4
Calls / 30d
2
Unique payers / 30d
Sep 5
Last called
exact
Payment scheme
Call this service
import { wrapFetchWithPayment } from "@x402/fetch";
import { privateKeyToAccount } from "viem/accounts";
const account = privateKeyToAccount(process.env.PRIVATE_KEY);
const fetchWithPay = wrapFetchWithPayment(fetch, account);
const res = await fetchWithPay("https://fetchharbor.benlab.download/chat", {
method: "POST",
headers: { "Content-Type": "application/json" },
body: JSON.stringify({
"message": "Explain this topic briefly."
}),
});
const data = await res.json();curl -X POST \
"https://fetchharbor.benlab.download/chat" \
-H "Content-Type: application/json" \
-d '{"message":"Explain this topic briefly."}' \
-H "X-PAYMENT: <signed x402 payment>"Example response
{
"model": "llama3.2:3b",
"prompt_tokens": 14,
"response": "Hello! How can I help?",
"response_tokens": 8,
"status": "success"
}Payment details
0xaed4a496fed1132b94c0a5f9fb5ee7cf63d869c2USD Coin · 0x833589fcd6edb6e08f4c7c32d4f71b54bda02913Is this your API?
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