# data-sentinel

> Use this tool when you need to perform a deep security scan to detect sensitive data that may have been missed by initial PII scrubbers, such as JWTs, AWS keys, and private keys. It returns masked matches with confidence levels, ensuring GDPR and AI TRiSM compliance. Ideal for use cases requiring robust data protection, this tool accepts input data and returns secure, masked output via the x402 interface on Base.

Canonical page: https://skillsregistry.net/skills/found402-data-sentinel  
JSON: https://api.skillsregistry.net/v1/skills/found402-data-sentinel

## Description

Data Sentinel — deep second-pass security scan that catches what PII scrubbers miss. Detects JWTs, bearer tokens, AWS keys, private keys, connection strings, IBANs, crypto wallets, medical record numbers, internal IPs, and base64 blobs. Returns masked matches with confidence levels. GDPR and AI TRiSM aligned. $0.003/req via x402 on Base.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-05-11

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/found402/data-sentinel)

## 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": "found402-data-sentinel"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/found402-data-sentinel` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/found402-data-sentinel/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