80trust / 100
Embeddings
by OpenAI embeddings in AI models & inference
x402 APIPassing, checked 3 h ago
OpenAI embeddings (text-embedding-3-large, text-embedding-3-small, text-embedding-ada-002), paid per call in USDC. OpenAI list $0.13 / $0.02 / $0.1 per 1M input tokens, plus $0.0005 (Base) or $0.0005 (Solana) per call; minimum $0.001 per call. Standard OpenAI body (model, input, dimensions, encoding_format). One endpoint per model: /x402/v1/models/<key>/embeddings. Rates: https://openai.mm.family/x402/pricing
POST https://openai.mm.family/x402/v1/embeddings
Last 30 days
All checks passedSome failedAll failedNot checked
- Uptime
- 100%
- Response time
- 32 ms typical, 137 ms slowest 5%
- Last check
- 3 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/embeddings" \
-H "content-type: application/json" \
-d '{"input":"Hello","model":"text-embedding-3-small"}'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%2Fembeddings
const res = await pay("https://openai.mm.family/x402/v1/embeddings", {
method: "POST",
headers: { "content-type": "application/json" },
body: JSON.stringify({"input":"Hello","model":"text-embedding-3-small"}),
});
console.log(await res.json());Example input
{
"input": "Hello",
"model": "text-embedding-3-small"
}Example output
{
"data": [
{
"embedding": [
0.01,
-0.02
],
"index": 0,
"object": "embedding"
}
],
"model": "text-embedding-3-large",
"object": "list",
"usage": {
"prompt_tokens": 1,
"total_tokens": 1
}
}Security scan
- No findings. We scan names, descriptions and tool definitions for hidden instructions and other prompt-injection patterns.
Recent checks
| When | Result | HTTP | Time | Price |
|---|---|---|---|---|
| 3 h ago | Passed | 402 | 137 ms | $0.001 |
| 7 h ago | Passed | 402 | 30 ms | $0.001 |
| 10 h ago | Passed | 402 | 30 ms | $0.001 |
| 14 h ago | Passed | 402 | 32 ms | $0.001 |
| 17 h ago | Passed | 402 | 98 ms | $0.001 |
| 22 h ago | Passed | 402 | 96 ms | $0.001 |
| 25 h ago | Passed | 402 | 29 ms | $0.001 |
| 28 h ago | Passed | 402 | 178 ms | $0.001 |
| 33 h ago | Passed | 402 | 29 ms | $0.001 |