# genpark-high-cardinality-agent-log-ingestion-indexer-skill

> genpark-high-cardinality-agent-log-ingestion-indexer-skill — alphaparkinc-genpark-high-cardinality-agent-log-ingestion-indexer-skill. Use this tool when you need to efficiently index and manage large volumes of structured logs from distributed agents, solving problems of log data overload and complexity. It ingests log data as input and outputs a searchable, high-cardinality index, ideal for use cases like log analysis and monitoring. Suitable for applications with high log volumes, such as those using Axiom or Better Stack.

Canonical page: https://skillsregistry.net/skills/alphaparkinc-genpark-high-cardinality-agent-log-ingestion-indexer-skill  
JSON: https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-high-cardinality-agent-log-ingestion-indexer-skill

## Description

High-cardinality distributed agent structured log indexer (Axiom / Better Stack)

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## 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/alphaparkinc/genpark-high-cardinality-agent-log-ingestion-indexer-skill)

## 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": "alphaparkinc-genpark-high-cardinality-agent-log-ingestion-indexer-skill"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-high-cardinality-agent-log-ingestion-indexer-skill` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-high-cardinality-agent-log-ingestion-indexer-skill/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