AiSpace Venice · Embeddings

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://x402.aispace.bot/api/v1/embeddings", {
  method: "POST",
  headers: { "Content-Type": "application/json" },
  body: JSON.stringify({
    "input": "The quick brown fox jumps over the lazy dog.",
    "model": "text-embedding-bge-m3"
  }),
});
const data = await res.json();

curl -X POST \
  "https://x402.aispace.bot/api/v1/embeddings" \
  -H "Content-Type: application/json" \
  -d '{"input":"The quick brown fox jumps over the lazy dog.","model":"text-embedding-bge-m3"}' \
  -H "X-PAYMENT: <signed x402 payment>"

{
  "data": [
    {
      "embedding": [
        -0.05365830659866333
      ],
      "index": 0,
      "object": "embedding"
    }
  ],
  "model": "text-embedding-bge-m3",
  "object": "list",
  "usage": {
    "prompt_tokens": 3,
    "total_tokens": 3
  }
}