Chartsy vs ChurnLens

Chartsy is a web analytics product for SaaS founders that combines Stripe and Paddle billing records with website traffic. It calculates MRR, ARR, churn, LTV and cohort retention from invoice data, and includes expansion analysis and unit-economics measures. A tracking script attributes visits and signups to Stripe or Paddle revenue by marketing channel. ChartsyAI converts plain-English questions into charts without SQL; its chatbot handles follow-up questions and explains changes in revenue metrics. Supported sources are Stripe, Paddle Billing, Paddle Classic and BigCommerce. GDPR Mode avoids storing customer names and email addresses while metrics continue to work. Connections to Stripe and Paddle are read-only except for webhook registration. Weekly emails cover subscribers, MRR, churn, plan performance and geographic distribution. Four dashboard templates appear after initial synchronization. MCP supplies read-only data to ChatGPT and Claude.

ChurnLens is a self-hosted SaaS metrics tool for calculating MRR, churn, and LTV from Stripe or CSV data. Its full report includes current MRR, ARR run-rate, active customers, average customer churn, and monthly figures such as net-new MRR and LTV. The `mrr` command breaks the latest month’s MRR movement into new, expansion, reactivation, contraction, and churned amounts. Reports can return JSON and use a chosen currency label, with USD as the default.

ChurnLens can recompute metrics from ledger updates and publish JSON to a BI or dashboard pipeline. It also lists SARIF output for code scanning, an MCP server for AI agents, and webhook forwarding for SIEM, Slack, and Jira. The README describes use through MCP, JSON piped into agents or LLMs, or CI with exit codes and SARIF. Installation options include pip, pipx, uv, Docker, Homebrew, and a shell script. It requires no account. The source-available license permits personal, internal evaluation, research, and educational use; commercial or production use requires a separate license. Pricing is on request.