Text Embedding Ada 002 Embeddings

Last 30 days

Uptime

100%

Response time

58 ms typical, 130 ms slowest 5%

Last check

2 h ago

Next check

any minute now

How to call it

# See the payment challenge (nothing is charged)
curl -i -X POST "https://openai.mm.family/x402/v1/models/text-embedding-ada-002/embeddings" \
  -H "content-type: application/json" \
  -d '{"input":"Hello","model":"text-embedding-ada-002"}'

import { wrapFetchWithPayment } from "@x402/fetch";
import { x402Client } from "@x402/core/client";
import { ExactEvmScheme } from "@x402/evm/exact/client";
import { privateKeyToAccount } from "viem/accounts";

const client = new x402Client().register(
  "eip155:8453",
  new ExactEvmScheme(privateKeyToAccount(process.env.AGENT_KEY)),
);
const pay = wrapFetchWithPayment(fetch, client);

// Not sure it's safe to pay? Preflight it first for $0.005:
// GET https://toolvet.app/api/v1/check?url=https%3A%2F%2Fopenai.mm.family%2Fx402%2Fv1%2Fmodels%2Ftext-embedding-ada-002%2Fembeddings
const res = await pay("https://openai.mm.family/x402/v1/models/text-embedding-ada-002/embeddings", {
  method: "POST",
  headers: { "content-type": "application/json" },
  body: JSON.stringify({"input":"Hello","model":"text-embedding-ada-002"}),
});
console.log(await res.json());

Example input

{
  "input": "Hello",
  "model": "text-embedding-ada-002"
}

Example output

{
  "data": [
    {
      "embedding": [
        0.01,
        -0.02
      ],
      "index": 0,
      "object": "embedding"
    }
  ],
  "model": "text-embedding-ada-002",
  "object": "list",
  "usage": {
    "prompt_tokens": 1,
    "total_tokens": 1
  }
}

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