78trust / 100

Route Tool

by Agent Tool Router + Trust Layer in Security & trust

x402 APIPassing, checked 2 h ago

Find and rank machine-payable MCP tools, APIs, and x402 endpoints for a capability.

POST https://mcp.dropenginehq.com/api/route-tool

Last 30 days

All checks passedSome failedAll failedNot checked
Uptime
100%
Response time
459 ms typical, 593 ms slowest 5%
Last check
2 h ago
Next check
any minute now

How to call it

# See the payment challenge (nothing is charged)
curl -i -X POST "https://mcp.dropenginehq.com/api/route-tool" \
  -H "content-type: application/json" \
  -d '{"capability":"wallet_risk","preferences":{"optimize_for":"balanced"}}'
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%2Fmcp.dropenginehq.com%2Fapi%2Froute-tool
const res = await pay("https://mcp.dropenginehq.com/api/route-tool", {
  method: "POST",
  headers: { "content-type": "application/json" },
  body: JSON.stringify({"capability":"wallet_risk","preferences":{"optimize_for":"balanced"}}),
});
console.log(await res.json());

Example input

{
  "capability": "wallet_risk",
  "preferences": {
    "optimize_for": "balanced"
  }
}

Example output

{
  "alternatives": [],
  "cached": false,
  "candidates_after_filters": 0,
  "candidates_found": 0,
  "capability": "crypto_price",
  "checked_at": "2026-01-01T00:00:00.000Z",
  "degraded": true,
  "match_found": false,
  "recommended": null,
  "registry_sources": [
    "local_registry"
  ],
  "routing_reason": [],
  "success": true
}

Security scan

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

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