Embeddings (OpenAI-compatible) · 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://agent402.tools/v1/embeddings", {
  method: "POST",
  headers: { "Content-Type": "application/json" },
  body: JSON.stringify({
    "input": "Agent402 is an open-source x402 tool server."
  }),
});
const data = await res.json();

curl -X POST \
  "https://agent402.tools/v1/embeddings" \
  -H "Content-Type: application/json" \
  -d '{"input":"Agent402 is an open-source x402 tool server."}' \
  -H "X-PAYMENT: <signed x402 payment>"

{
  "data": [
    {
      "embedding": [
        0.0023,
        -0.0091,
        0.0152
      ],
      "index": 0,
      "object": "embedding"
    }
  ],
  "model": "text-embedding-3-small",
  "object": "list",
  "usage": {
    "prompt_tokens": 12,
    "total_tokens": 12
  }
}