79trust / 100

Virtual Traits

by x402.billionaireorder.com in Company & people data

x402 APIPassing, checked 3 h ago

For AI agents building agent swarms, synthetic users, NPCs, or trading bots. Input: archetype + prompt (e.g. 'risk-taking crypto founder'). Output: OCEAN Big Five + Dark Triad + trading psychology vector with emotional drift and memory anchors. M2M: use when you need consistent agent personality, backtest personas, or generate 1000s of synthetic traders. Pay-per-call USDC Base, no API key.

POST https://x402.billionaireorder.com/v1/virtual-traits

Last 30 days

All checks passedSome failedAll failedNot checked
Uptime
100%
Response time
491 ms typical, 545 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://x402.billionaireorder.com/v1/virtual-traits" \
  -H "content-type: application/json" \
  -d '{"archetype":"bullish_trader","prompt":"A risk-taking crypto founder"}'
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%2Fx402.billionaireorder.com%2Fv1%2Fvirtual-traits
const res = await pay("https://x402.billionaireorder.com/v1/virtual-traits", {
  method: "POST",
  headers: { "content-type": "application/json" },
  body: JSON.stringify({"archetype":"bullish_trader","prompt":"A risk-taking crypto founder"}),
});
console.log(await res.json());

Example input

{
  "archetype": "bullish_trader",
  "prompt": "A risk-taking crypto founder"
}

Example output

{
  "archetype": "bullish_trader",
  "emotional_vector": {
    "primary": "euphoric"
  },
  "traits": {
    "conscientiousness": 0.7,
    "openness": 0.92,
    "risk_tolerance": 0.95
  }
}

Security scan

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

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