# ZizkaDB

> ZizkaDB — zizka-ai-sl-zizkadb. Use this tool when you need to maintain a tamper-evident record of AI decision-making processes, ensuring compliance with regulations like the EU AI Act. ZizkaDB provides a secure audit trail database with features like session replay, time-travel debugging, and drift detection, supporting self-hosted or cloud deployments. It offers SDKs for Python and TypeScript, and integrates with git for version control.

Canonical page: https://skillsregistry.net/skills/zizka-ai-sl-zizkadb  
JSON: https://api.skillsregistry.net/v1/skills/zizka-ai-sl-zizkadb

## Description

Audit trail database for AI agents. Tamper-evident, checksum-backed decision logs with session replay and time-travel debugging to support EU AI Act Article 12 record-keeping. Drift detection, MCP, Python & TypeScript SDKs. Self-host or cloud.

## Trust

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

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/ZIZKA-AI-SL/ZizkaDB)

## 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": "zizka-ai-sl-zizkadb"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/zizka-ai-sl-zizkadb` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/zizka-ai-sl-zizkadb/pull`

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