# Verilex Data

> Use this tool when you need to access structured datasets from various sources, including healthcare, finance, and government institutions, to gather insights and make informed decisions. It solves problems related to data discovery, research, and analysis by providing a pay-per-query interface to 20 datasets, including SEC filings, patent records, and economic indicators. Ideal for use cases requiring ad-hoc data queries, such as market research, risk assessment, or business intelligence.

Canonical page: https://skillsregistry.net/skills/carrierone-verilexdata-mcp  
JSON: https://api.skillsregistry.net/v1/skills/carrierone-verilexdata-mcp

## Description

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

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** finance
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/t01gihgfgl)
- **Repository:** <https://github.com/carrierone/verilexdata-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "carrierone-verilexdata-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/carrierone-verilexdata-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/carrierone-verilexdata-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt