80trust / 100

Contact Link Decision

by agentreadiness.halowerk.com in Company & people data

x402 APIPassing, checked 16 min ago

Contact discovery decision fetches current public evidence from the supplied target and evaluates the documented criterion. It returns the observation, threshold, verdict, exact evidence source, limitations and a mode-specific action. The check is passive: no login attempt, payload injection, exploit, purchase, form submission or load test is performed.

POST https://agentreadiness.halowerk.com/v1/contact-link-decision

Last 30 days

All checks passedSome failedAll failedNot checked
Uptime
100%
Response time
99 ms typical, 156 ms slowest 5%
Last check
16 min ago
Next check
in 12 min

How to call it

# See the payment challenge (nothing is charged)
curl -i -X POST "https://agentreadiness.halowerk.com/v1/contact-link-decision" \
  -H "content-type: application/json" \
  -d '{"context":{"environment":"production"},"target":"https://example.com"}'
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%2Fagentreadiness.halowerk.com%2Fv1%2Fcontact-link-decision
const res = await pay("https://agentreadiness.halowerk.com/v1/contact-link-decision", {
  method: "POST",
  headers: { "content-type": "application/json" },
  body: JSON.stringify({"context":{"environment":"production"},"target":"https://example.com"}),
});
console.log(await res.json());

Example input

{
  "context": {
    "environment": "production"
  },
  "target": "https://example.com"
}

Security scan

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

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