Xpoz MCP

Xpoz solves a pain point that's only gotten worse: getting structured social data into an AI agent. Twitter's API is expensive and approval-gated; Instagram has no public search API; TikTok requires a business account; Reddit's API went paid. Xpoz bundles all four behind one MCP server. That's genuinely useful. The credit system is the trade-off. At 12 credits per Instagram query, a Max plan (600K credits/month) gives you only 50,000 Instagram calls — or 300,000 Twitter/Reddit calls. That's fine for most monitoring use cases, but if you're scraping Instagram at scale, the overage ($0.40-$0.80 per 1k credits) adds up. The free tier is a one-time 2,500 credits — enough to test, not enough to run. Compared to competing social data APIs (Bright Data, Apify, SocialData), Xpoz is MCP-native from day one and cheaper for low-volume queries. Bright Data's proxies plus social API are more expensive and need more engineering. Apify's Instagram/TikTok actors charge per run, often $0.05-$0.10 per scrape. Xpoz's per-query model at 2-12 credits is cheaper if you query frequently but need few results each time. In practice, we'd reach for Xpoz when building a Claude agent that needs to search recent tweets or Reddit threads — the MCP setup is literally a URL paste. For a production pipeline that ingests Instagram posts hourly, we'd calculate the effective credit burn first. Where it bites: no native streaming, no real-time firehose, and the 'continuous monitoring' tracks keyword changes but doesn't push updates — you still query. Bottom line: a smart, developer-friendly wrapper for multi-platform social data. Great for prototyping and moderate-volume agent use. Heavy scrapers should run the numbers.