stox-mcp
io.github.nirajagarwal/stox-mcp
Percentile fingerprints, curated peers, theme clusters & market-stress context for US stocks.
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- Rank
- #4836
- Score
- 81
- Tool tokens
- 1,321
- Tools
- 6
Tools
Token cost is the o200k count of the tools list JSON, including schemas, before any tool is called.
fingerprint
The character of one stock in ~550 tokens: 16 percentile scores (vs the S&P 500 cohort) across four panels — Market Beat, Trend Persistence, Business Growth, Pressure (money flow) — plus the composite
compare
The 16 percentile scores + P3 + 1Y price change for 2-5 tickers as one compact matrix (rows = metrics, columns = tickers). Use when weighing names against each other; percentiles make the comparison f
peers
The stock's TRUE competitive cluster — LLM-curated from segment overlap (who it actually competes with for revenue), not GICS classification. Costco's peers are WMT/TGT/KR, not 'Discount Stores'. Each
theme_cluster
The statistical theme a stock actually trades with: clusters built from years of price co-movement (market-removed residuals → random-matrix cleaning → Ward linkage), not sector labels. Returns the cl
screen
Screen the S&P 500 + NDX universe on ANY of the 16 percentile scores, with minimum AND maximum bounds, optionally within one GICS sector, sorted by the validated P3 composite or by any single metric.
market_regime
Where market stress sits right now: the dashboard's 8-indicator stance, each indicator's traffic-light band, the VIX 5-year percentile (the ONE input validated as predicting forward risk — blended com
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