North Metric

Enables an AI assistant to answer customer-success questions by synthesizing simulated billing, support ticket, and product usage data into composite churn-risk scores, bands, and plain-language explanations for fictional accounts. It exposes raw-data tools, a synthesis tool, and a methodology resource so users can list at-risk accounts or get a per-account health summary.

Enables an AI agent to analyze synthetic internet-provider data through business-semantic MCP tools for churn, delinquency, cohort retention, sales channels, support tickets, and guarded read-only SQL.

Lets a user ask what their business is owed, who to chase first, and get a chase email drafted in their own voice, via tools for weekly totals, chase queues, customer history, due-soon invoices and insights. Every tool only reads or returns a draft, so nothing can be sent.

Enables governed, deterministic retention analytics over a checksum-pinned Telco customer churn snapshot, letting users ask business questions in natural language while the server handles metric definitions, bounded queries, and aggregate execution with provenance and caveats.