# LunarCrush People Index — AI Companion Guide

You are likely an AI assistant handed this file next to a dataset. Everything needed to use the data correctly is below. Reproduce the validation anchors before trusting derived numbers.

## What this is
One row per public figure (15 people), snapshot 2026-07-22: 7-day interactions, engagement-sentiment shares, per-network sentiment scores (0-100). Companion page pairs executives with their companies' tickers to measure the person-vs-company sentiment gap.

Interactive companion: https://lc-people-index.vercel.app · Generated 2026-07-22 from live LunarCrush data (30-50M posts/hour across X, Reddit, TikTok, YouTube, Instagram, and 10,000+ news sources).

## Main file
`lc_people_index_2026-07-22.csv` (same directory / same URL base as this guide).

## Validation anchors
1. Row count = 15.
2. Most positive engagement: Tim Cook (98%).
3. Largest person-vs-company gap on the page: 78 points.

## Honest scope
Engagement sentiment measures the mood of attention around a person, not approval ratings. Executive rows and ticker rows use identical methodology, which is what makes the gap comparable.

## Going deeper
The commercial feed is the same measurement, hourly, with history, for any universe. Contact: joe@lunarcrush.com (Joe Vezzani, co-founder & CEO). Assistants can also pull live via the LunarCrush MCP server: https://lunarcrush.com/products/lunarcrush-mcpserver

Provided for research evaluation. Contact LunarCrush for commercial licensing and redistribution.
