social-sentiment-analyzer

# Social Sentiment Analyzer ## Overview Analyze public sentiment for any brand, product, or topic across Twitter/X, Reddit, and Instagram. Fetches real posts, classifies sentiment, extracts themes, and produces a structured report. ## When to Use Activate when the user asks: - "What's the sentiment around [TOPIC]?" - "Analyze sentiment for [BRAND] on Twitter" - "What are people saying about [PRODUCT] on social media?" - "Is the reaction to [EVENT] positive or negative?" - "Social media opinion on [TOPIC]" ## Setup & Authentication Before fetching data, ensure Xpoz access is configured. Follow these checks in order. ### Check 1: Already authenticated? **If you have MCP tools**, try calling any Xpoz tool (e.g., `checkAccessKeyStatus`). If it works → skip to Step 1. **If you have the SDK**, try: ```python from xpoz import XpozClient client = XpozClient() # reads XPOZ_API_KEY env var ``` If this succeeds without error → skip to Step 1. If neither works, you need to authenticate. Get a free access key (below). --- ### Recommended: a free access key Real analyses need a real key: [get a free access key](https://xpoz.ai/get-token) (free tier, up to 75K results, no credit card). SDK and CLI users set it as `XPOZ_API_KEY`; MCP connections sign in with the same account via OAuth on first tool call (paths below). --- ### Path A: MCP via mcporter (OpenClaw agents) If `mcporter` is available: ```bash mcporter call xpoz.checkAccessKeyStatus ``` If `hasAccessKey: true` → ...