Detect and Respond to Crises in Real-Time
Transform your crisis response from reactive damage control to proactive brand protection with automated social media monitoring through MCP.
The Problem
Brand crises don't wait for business hours. A single viral complaint, a product safety concern, or an employee misstep can spiral into a full-blown reputation emergency within hours. Traditional monitoring approaches leave dangerous gaps:
Delayed detection
Manual social media checks happen once or twice daily, missing the critical early window when crises can still be contained
Platform fragmentation
Your brand is discussed across Twitter, Instagram, and Reddit simultaneously—monitoring each platform separately means slower response times and missed context
Signal vs. noise
Thousands of daily mentions make it impossible to distinguish routine chatter from genuine threats without sophisticated filtering
Incomplete visibility
Standard social listening tools show you mentions but not who's amplifying them or how fast content is spreading
The Workflow
Xpoz MCP connects directly to Claude AI, enabling you to build automated monitoring systems that watch your brand 24/7 and surface emerging threats the moment they appear.
Example Queries
Ask Claude in natural language. Here are some examples with the underlying API calls:
Detecting unusual volume spikes
>"Count tweets mentioning "Acme Corp" from the past 7 days and compare to the previous 7-day period. Flag if current volume exceeds baseline by 200%."
Identifying high-risk content
>"Search Twitter posts containing "Acme Corp" AND ("recall" OR "injury" OR "dangerous" OR "FDA" OR "investigation"). Return text, authorUsername, retweetCount, impressionCount, createdAtDate. Sort by engagement."
Mapping influence networks around negative content
>"For post ID [flagged_post_id], retrieve all users who retweeted it. Include followersCount, isVerified, and description fields. Identify any verified accounts, journalists, or users with >50K followers."
Cross-platform monitoring
>"Search Instagram posts from the past 48 hours containing "Acme Corp" with negative sentiment keywords. Include likeCount, commentCount, and username. Compare engagement levels to Twitter activity."
Why XPOZ
No API key management
Access Twitter and Instagram data through a single MCP connection without obtaining separate API credentials from each platform
Natural language queries
Ask Claude to "find all highly-engaged negative posts about our brand from the last 6 hours" instead of constructing complex API calls
Unified multi-platform view
Query Twitter and Instagram through the same interface, making cross-platform correlation straightforward
Network intelligence
Go beyond mention counting to understand who's amplifying content and how influence flows through networks
Authenticity scoring
Twitter data includes bot detection signals, helping you distinguish genuine customer concerns from coordinated inauthentic activity
Flexible export
Pull complete datasets as CSV for integration with your existing crisis management workflows and reporting tools
Frequently Asked Questions
Detection speed depends on your monitoring frequency. Xpoz queries return results in seconds, so you can run checks as frequently as needed—hourly, every 15 minutes, or continuously through automation. Most emerging crises show detectable signals 2-4 hours before mainstream pickup.
Yes. While Xpoz MCP operates through Claude AI queries, you can integrate these into automated workflows using n8n, scheduled scripts, or other automation platforms. Set thresholds for volume spikes or sentiment shifts that trigger notifications to your crisis response team.
Focus on three signals: volume anomalies (sudden spikes above baseline), amplifier quality (verified accounts, journalists, large followings engaging), and spread velocity (cross-platform pickup within hours). Normal complaints rarely exhibit all three simultaneously.
Xpoz provides access to Twitter/X and Instagram data through the MCP server. For comprehensive crisis monitoring, these platforms typically surface issues earliest due to their real-time nature.
No. The MCP integration means you can query social data using natural language through Claude. Ask for what you need—"show me negative brand mentions with high engagement"—and Claude handles the technical implementation.
Get Started
Begin protecting your brand in minutes:
Connect Xpoz MCP: Add the remote MCP server at `https://mcp.xpoz.ai/mcp` through Claude.ai settings, Claude Desktop, or Claude Code
Establish your baseline: Query your typical mention volume and sentiment patterns over the past 90 days
Set up monitoring queries: Create saved prompts for volume tracking, sentiment monitoring, and amplifier identification
Build your response playbook: Define thresholds that trigger escalation and map out response protocols for different crisis types
The free tier includes 100,000 results per month—enough to monitor most brands continuously. For high-volume brands or agencies managing multiple clients, Pro plans scale to 10M+ results. Your next crisis could be brewing right now. The question is whether you'll detect it in time to respond.
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Ready to Build Your Detect and Respond to Crises in Real-Time?
Get started with 100,000 free results per month. No credit card required.