Embeddings

Last 30 days

Uptime

100%

Response time

595 ms typical, 679 ms slowest 5%

Last check

1 h ago

Next check

any minute now

How to call it

# See the payment challenge (nothing is charged)
curl -i -X POST "https://api.erb-llm.com/v1/embeddings" \
  -H "content-type: application/json" \
  -d '{"input":["The quick brown fox jumps over the lazy dog","A fast brown fox leaps over a sleepy hound"]}'

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%2Fapi.erb-llm.com%2Fv1%2Fembeddings
const res = await pay("https://api.erb-llm.com/v1/embeddings", {
  method: "POST",
  headers: { "content-type": "application/json" },
  body: JSON.stringify({"input":["The quick brown fox jumps over the lazy dog","A fast brown fox leaps over a sleepy hound"]}),
});
console.log(await res.json());

Example input

{
  "input": [
    "The quick brown fox jumps over the lazy dog",
    "A fast brown fox leaps over a sleepy hound"
  ]
}

Example output

{
  "data": [
    {
      "embedding": [
        0.0123,
        -0.0456,
        0.0789
      ],
      "index": 0,
      "object": "embedding"
    },
    {
      "embedding": [
        0.0124,
        -0.0452,
        0.0331
      ],
      "index": 1,
      "object": "embedding"
    }
  ],
  "model": "text-embedding-nomic-embed-text-v1.5",
  "object": "list",
  "usage": {
    "prompt_tokens": 24,
    "total_tokens": 24
  },
  "x402": {
    "charged": "$0.001",
    "inference_ms": 420,
    "texts": 2,
    "tier": "embed"
  }
}

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