# xapi-labs

> Use this tool when you need to integrate multiple APIs into a single interface for AI agents, solving problems of data fragmentation and complexity in machine learning workflows. It aggregates various APIs, providing a unified input of disparate data sources and outputting streamlined information for AI model training and deployment. Ideal for use cases requiring seamless data exchange and consolidation across different AI applications and services.

Canonical page: https://skillsregistry.net/skills/glacier-luo-xapi-labs  
JSON: https://api.skillsregistry.net/v1/skills/glacier-luo-xapi-labs

## Description

Aggregated API platform for AI agents.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/glacier-luo-xapi-labs)

## 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": "glacier-luo-xapi-labs"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/glacier-luo-xapi-labs` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/glacier-luo-xapi-labs/pull`

---
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