# RowHint Seat Intelligence

> Use this tool when you need to optimize airline seat selection for travelers, as it provides row-by-row seat quality scores and notes on issues like missing windows or limited recline. It solves problems of poor seating choices by offering informed decisions through its database of 61+ aircraft configurations across 10 US airlines. With inputs of airline and aircraft configuration, it outputs detailed seat quality scores and notes to guide booking decisions.

Canonical page: https://skillsregistry.net/skills/rowhint-seat-intelligence  
JSON: https://api.skillsregistry.net/v1/skills/rowhint-seat-intelligence

## Description

RowHint Seat Intelligence provides AI agents with row-by-row seat quality data for US airline aircraft. Each seat receives a 1–10 score with plain-English notes covering issues like missing windows, limited recline, and proximity to galley areas. Coverage spans 61+ configurations across 10 US airlines, helping travelers make informed seating choices before booking.

## 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:** ai-ml
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/rowhint-seat-intelligence)

## 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": "rowhint-seat-intelligence"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/rowhint-seat-intelligence` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/rowhint-seat-intelligence/pull`

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