ToolVet
68trust / 100

Text Embedding

by AgentUtility.ai in AI models & inference

x402 APIPassing, checked 3 h ago

Embeds 1 to 100 strings into semantic vectors via Venice. Tier shorthand: 'default' → gemini-embedding-2-preview (newest, recommended), 'fast' → text-embedding-bge-m3, 'openai-compat' → text-embedding-3-small. You can also pass a full Venice embedding model name. Returns a list of vectors aligned with input order. Use it for text embedding, vector embedding, Venice embeddings, Gemini embeddings, or BGE-M3.

POST
https://x402.agentutility.ai/text-embedding
Price
$0.005
per call in USDC
Uptime
90.0%
last 30 days
Response time
4.2 s
4.5 s slowest 5%
Last check
Passed
3 h ago, next any minute now

Run a free test callHow to call it

Reliability

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Status and outage history · Atom feed

How to call it

POST https://x402.agentutility.ai/text-embedding

Each call costs $0.005 in USDC on Base, paid with the request over x402.

Run a free test callOne unpaid request, the way an agent sends it. You see the payment challenge it gets back. Nothing is charged.

Example request

From the listing.

POST https://x402.agentutility.ai/text-embedding
content-type: application/json

{
  "model": "default",
  "texts": [
    "The first sentence",
    "The second sentence"
  ]
}

Parameters

ParameterTypeRequiredDescription
modelstringNoTier shorthand ('default'|'fast'|'openai-compat') or full Venice embedding model name. Default 'default'.
textsarray of stringYes1 to 100 strings to embed; each up to 30,000 chars.

Example response

The provider's example. We can't check it without paying.

Example response, 27 lines
{
  "count": 2,
  "dimensions": 1024,
  "embeddings": [
    [
      0.0231,
      -0.142,
      0.0011,
      0.083,
      0.071
    ],
    [
      0.0193,
      -0.151,
      0.0072,
      0.078,
      0.062
    ]
  ],
  "model": "gemini-embedding-2-preview",
  "source": "venice",
  "tier": "default",
  "usage": {
    "prompt_tokens": 6,
    "total_tokens": 6
  }
}

Call it from code

The curl command shows the payment challenge. The JavaScript and Python versions pay and call, and never pay more than $0.005.

curl: see the payment challenge
# bash or zsh: see the payment challenge. Nothing is charged.
curl -sS -g -i -X POST 'https://x402.agentutility.ai/text-embedding' \
  -H 'content-type: application/json' \
  --data-raw '{"model":"default","texts":["The first sentence","The second sentence"]}'

# x402 v2 sends the challenge base64-encoded in the PAYMENT-REQUIRED header (v1 sends it in the body).
# To read the header:
curl -sS -g -o /dev/null -D - -X POST 'https://x402.agentutility.ai/text-embedding' \
  -H 'content-type: application/json' \
  --data-raw '{"model":"default","texts":["The first sentence","The second sentence"]}' \
  | grep -i '^payment-required:' | cut -d' ' -f2 | tr -d '\r' | base64 --decode
JavaScript: pay and call
// npm i @x402/fetch @x402/evm viem
import { wrapFetchWithPayment, x402Client } from "@x402/fetch";
import { registerExactEvmScheme } from "@x402/evm/exact/client";
import { privateKeyToAccount } from "viem/accounts";

// Pays at most $0.005 per call.
const client = new x402Client().setSpendControls({ maxAmountPerPayment: "$0.005" });
registerExactEvmScheme(client, { signer: privateKeyToAccount(process.env.EVM_PRIVATE_KEY) });
const pay = wrapFetchWithPayment(fetch, client);

// Not sure it's safe to pay? ToolVet checks it first for $0.005. Pay for that from a separate
// client: this one is capped at $0.005 per payment. GET https://toolvet.app/api/v1/check?url=https%3A%2F%2Fx402.agentutility.ai%2Ftext-embedding&method=POST
const res = await pay("https://x402.agentutility.ai/text-embedding", {
  method: "POST",
  headers: { "content-type": "application/json" },
  body: JSON.stringify({
    "model": "default",
    "texts": [
      "The first sentence",
      "The second sentence"
    ]
  }),
});
console.log(res.status, await res.text());
Python: pay and call
# pip install "x402[requests,evm]"
import os
from eth_account import Account
from x402 import x402ClientSync
from x402.http.clients import x402_requests
from x402.mechanisms.evm import EthAccountSigner
from x402.mechanisms.evm.exact.register import register_exact_evm_client

# Pays at most $0.005 per call.
client = x402ClientSync().set_spend_controls({"max_amount_per_payment": "$0.005"})
register_exact_evm_client(client, EthAccountSigner(Account.from_key(os.environ["EVM_PRIVATE_KEY"])))

with x402_requests(client) as session:
    res = session.post(
        "https://x402.agentutility.ai/text-embedding",
        json={
            "model": "default",
            "texts": [
                "The first sentence",
                "The second sentence",
            ],
        },
    )
    print(res.status_code, res.text)

Security scan

No findings

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Recent checks

WhenResultHTTPTimePrice
3 h agoPassed402142 ms$0.005
8 h agoPassed4022.6 s$0.005
12 h agoPassed4023.9 s$0.005
16 h agoPassed4024.2 s$0.005
20 h agoPassed4024.3 s$0.005
Show 5 older checks
24 h agoPassed4024.5 s$0.005
28 h agoPassed4022.4 s$0.005
32 h agoPassed4024.5 s$0.005
35 h agoTimed out---
45 h agoPassed4026.6 s$0.005