78trust / 100

Data Suverse Vehicle Models

by proxy.suverse.io in AI models & inference

x402 APIPassing, checked 58 min ago

All vehicle models for a given make from NHTSA vPIC, no key. Returns model id and name for the manufacturer. For AI agents populating make and model selectors and validating vehicle data.

POST https://proxy.suverse.io/v1/data/suverse-vehicle-models

Last 30 days

All checks passedSome failedAll failedNot checked
Uptime
100%
Response time
88 ms typical, 393 ms slowest 5%
Last check
58 min ago
Next check
any minute now

How to call it

# See the payment challenge (nothing is charged)
curl -i -X POST "https://proxy.suverse.io/v1/data/suverse-vehicle-models" \
  -H "content-type: application/json" \
  -d '{"make":"honda"}'
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%2Fproxy.suverse.io%2Fv1%2Fdata%2Fsuverse-vehicle-models
const res = await pay("https://proxy.suverse.io/v1/data/suverse-vehicle-models", {
  method: "POST",
  headers: { "content-type": "application/json" },
  body: JSON.stringify({"make":"honda"}),
});
console.log(await res.json());

Example input

{
  "make": "honda"
}

Example output

{
  "data": {
    "Results": [
      {
        "Model_Name": "Accord"
      }
    ]
  },
  "source": "nhtsa"
}

Security scan

  • No findings. We scan names, descriptions and tool definitions for hidden instructions and other prompt-injection patterns.

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