Features
Beyond AI agents, Fload provides a suite of dashboard tools for understanding your app's performance, predicting what's coming, and staying on top of changes.
Analytics Dashboard
Unified view of every metric that matters — revenue, downloads, subscriptions, engagement, and ad performance — with dimensional breakdowns and period comparisons.
Analytics Dashboard documentation
Forecasting
Forward-looking projections for your key metrics. Fload picks the best statistical model for your data and shows confidence intervals so you know how much to trust the forecast.
Forecasting documentation
Weekly Report
Automatic Monday morning digest with your key metrics and week-over-week changes, delivered by email and optionally Slack or Discord.
Weekly Report documentation
Connector Doctor
A built-in diagnostic system that monitors the health of every data connector. When a connector fails or degrades, the Connector Doctor identifies the root cause and suggests a fix — whether it's expired credentials, API rate limits, or a platform outage.
- Automatic health checks on every sync cycle
- Clear error messages with actionable remediation steps
Universal Connector Mapper
A unified item mapping system that normalizes data across all your connected platforms. The mapper ensures that the same app, campaign, or subscription is consistently identified whether the data comes from App Store Connect, Google Play, Stripe, or an ad platform.
- Automatic matching of items across platforms
- Manual override for edge cases
- Consistent IDs across all dashboards and reports
MCP Server
Fload exposes an MCP (Model Context Protocol) server so you can integrate your Fload data with external AI tools and workflows. Use it to pull metrics, trigger agent runs, or query your data from any MCP-compatible client.
- Read access to all your metrics and reports
- Trigger agent runs programmatically
- Works with Claude Desktop, Cursor, and other MCP clients
Monitoring & Alerts
A dashboard for all detected anomalies, with configurable notification preferences and severity filtering. See what the Anomaly Detection agent found, review the context, and decide what to do.
Monitoring & Alerts documentation