Deploy AI Crews That Monitor, Aggregate, and Synthesize Data
AI agent crews that watch your competitive landscape, aggregate data from dozens of sources, and deliver structured intelligence reports — on demand or on schedule.
How It Works
6-step automated workflowThis is the workflow FleetQ executes automatically. Every step is configurable — add approval gates, swap agents, or extend with your own tools.
Trigger
Scheduled trigger, webhook, or manual kick-off starts the research run.Monitor Agent
Scans configured sources: web, RSS feeds, news APIs, and social channels.Extractor Agent
Pulls structured data from raw sources and normalises it into a consistent schema.Analyst Agent
Identifies trends, anomalies, and noteworthy signals from the aggregated data.Synthesiser Agent
Writes a structured intelligence brief with findings, implications, and next steps.Deliver Report
Sends the report via email, Slack, Telegram, or stores it in your knowledge base.Sound familiar?
These are the bottlenecks that FleetQ's AI agent crews are designed to eliminate.
- Competitive monitoring requires checking dozens of sources manually — a task too time-consuming to do consistently.
- Analysts spend more time collecting data than interpreting it.
- Important signals — a competitor's pricing change, a regulatory update — are missed because no one is watching 24/7.
- Raw data from multiple sources arrives in different formats, requiring manual normalisation before analysis.
With FleetQ agent crews
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24/7
Market monitoringAgents never sleep — every competitor move captured in real time.
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40+
Sources per reportAggregates data from news, web, social, and internal sources simultaneously.
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90%
Faster time to insightAnalysts spend time on strategy, not data collection.
Platform Capabilities You'll Use
Each feature below plays a role in this use case. Click to learn more or start building immediately.
RSS, webhook, and scheduled triggers for monitoring.
Monitor, Extract, Analyse, and Synthesise agents.
Schedule recurring research runs automatically.
Store and version every report for historical comparison.
Deliver reports via email, Slack, or Telegram.
Scrape and aggregate from any web source.
Frequently Asked Questions
Common questions about using FleetQ for data research automation.
RSS feeds, web pages (via scraping tools), news APIs, social media, GitHub repositories, job boards, and any source accessible via HTTP. You configure the sources per workflow.
Continuously. FleetQ supports event-driven triggers (a competitor publishes a new blog post), scheduled runs (every 6 hours), and manual kick-offs from the dashboard or MCP.
Yes. Define your target entities — competitor names, product names, keywords — as parameters in the workflow. The Monitor Agent focuses exclusively on those targets.
Via email, Slack webhook, Telegram bot, or any outbound connector. You can also store reports as versioned artifacts in FleetQ for historical comparison.
Yes. FleetQ stores every research run as an artifact. The Analyst Agent can be given historical context from previous runs to produce trend analysis in addition to point-in-time reporting.
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