ChurnLens
io.github.kindrat86/churnlens
Buyer-side SaaS due-diligence maths: NRR, GRR, revenue concentration, zombie MRR, LTV:CAC.
This endpoint completed initialize and tools/list. No tool was called.
- Rank
- #1356
- Score
- 82
- Tool tokens
- 962
- Tools
- 6
Tools
Token cost is the o200k count of the tools list JSON, including schemas, before any tool is called.
calculate_churn_rate
Calculate net revenue retention (NRR), gross revenue retention (GRR), revenue churn and implied customer lifetime from one period's MRR movements. Also reports the NRR-minus-GRR spread, which reveals
analyze_revenue_concentration
Assess customer concentration risk across a book of revenue using the Herfindahl-Hirschman Index (HHI), top-N share and whale detection. Answers the question every acquirer asks first: how much revenu
detect_zombie_mrr
Identify dormant-but-paying accounts — revenue that still counts in MRR but whose customers have stopped showing up. Zombie revenue is one renewal notice from cancelling and is invisible to standard r
score_saas_health
Score a SaaS business 0-100 across five dimensions — retention, growth, concentration, efficiency and durability — and return the composite. Every mapping is published, so the score can be reconstruct
calculate_ltv
Calculate gross-margin-adjusted customer lifetime value, the LTV:CAC ratio and CAC payback in months. Omitting gross margin yields lifetime revenue rather than lifetime value — usually a third of the
get_scoring_bands
Return the scoring thresholds ChurnLens applies to NRR, revenue concentration and the composite health score. These are bands, not measured benchmark data — the sourced benchmark figures are cited at
Nearby in GitHub
Up-to-date code docs for any prompt
MCP server for Financial Modeling Prep API with 250+ financial data tools
Official SerpApi MCP server for Google, Bing, and other search engines.
Comprehensive PostgreSQL documentation and best practices, including ecosystem tools