74
grade C
10 days ago
glama
Verilex Data
Query 20 structured datasets from AI agents — healthcare providers (9M NPI records), SEC EDGAR filings, PACER federal courts, USPTO patents and trademarks, OFAC sanctions screening, crypto whale wallets, DeFi liquidation signals, Polymarket smart money, economic indicators (FRED/BLS), federal contracts, NOAA weather, and OTC shell risk scoring. Pay per query, no subscriptions
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// key findings
✅
No credential exfiltration, no sensitive file access, no obfuscation
Static analysis found nothing flowing your secrets to unexpected places.
✅
Open source with a license and README
Anyone can audit the code, the license is declared, and the publisher documents what it does.
🔐
You'll be asked for 1 credential: VERILEX_PAYMENT_TOKEN
These are read from process.env at runtime. Make sure you trust where they’ll be sent.
// required environment variables
This server reads these from
process.env. You'll be asked to provide them before it can run.config
MCP_TRANSPORTconfig
PORTconfig
VERILEX_API_URL— API base URL (default: https://api.verilexdata.com)🔐 secret
VERILEX_PAYMENT_TOKEN— x402 payment token for paid endpoints// full audit trail
The full breakdown of what we checked, the deductions that landed, the network hosts, the dependency advisories, and concrete fix guidance is available to verified publishers.
// improvement guidance — verified publishers only
We have 4 concrete improvements we can share with the publisher of this MCP. Each comes with specific guidance to raise the trust score.
// embed badge in your README
[](https://m8ven.ai/mcp/carrierone-verilexdata-mcp-9pyz13)commit: 898aa07bdfaea419e4ab30924411128f867be0e4
code hash: 89cf7c694e1fbb7174ede4bc887fb482e70b298aa918b98ae41162b0bc999352
verified: 4/11/2026, 2:33:55 PM