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. Choose the path that fits your environment: --- ### Path A: MCP via mcporter (OpenClaw agents) If `mcporter` is available: ```bash mcporter call xpoz.checkAccessKeyStatus ``` If `hasAccessKey: true` → ready. If not: ```bash mcporter config add xpoz https://mcp.xpoz.ai/mcp --auth oauth ``` Then authenticate — generate the OAuth URL and send it to the user: **Step 1: Generate authorization URL** ```python import secrets, hashlib, base64, urllib.parse, json, urllib.request, os verifier = ...