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Catalog
Every x402, MPP, MCP, and skill listing we've indexed, normalized, and enriched.
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Extract URLs from XML sitemaps with lastmod dates, priority scores, depth analysis and domain extraction.
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Parse robots.txt files into structured rules with per-agent analysis, path checking and sitemap extraction.
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Detect API endpoints and JSON URLs in page JavaScript code and network requests.
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Analyze KPI actuals vs targets with RAG status, variance percentages and top performers/at-risk identification.
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Score and segment customers using RFM analysis (Recency, Frequency, Monetary) with segment-specific action recommendatio
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Analyze numeric distribution: mean, median, skewness, kurtosis, percentiles and histogram with distribution type classif
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Calculate linear regression slope, intercept, R-squared, RMSE and predict future values from x/y data.
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Analyze value frequency distribution with mode, top-N counts, cumulative percentages and diversity ratio.
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Calculate required sample size or achieved statistical power for an experiment given effect size and significance level.
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Detect and measure seasonality in time series data using seasonal indices and peak/trough period identification.
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Calculate confidence intervals from raw data or summary statistics with margin of error and interpretation.
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Score customer churn risk from behavioral signals: inactivity, usage drop, support tickets, NPS and payment failures.
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Calculate SMA and EMA for configurable periods with above/below MA signals and crossover detection.
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Analyze multi-stage conversion funnels with step-by-step drop-off rates and biggest drop-off identification.
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Calculate percentile rank, Z-score and tier for values against a reference distribution.
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Calculate A/B test statistical significance using chi-squared test with confidence level and minimum sample size guidanc
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Calculate cohort retention rates by period with Day-30/90/180 benchmarks and churn cliff detection.
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Compute Pearson and Spearman correlations between two series with R-squared and linear regression equation.
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Detect statistical outliers using IQR, Z-score or modified Z-score methods
Detect statistical outliers using IQR, Z-score or modified Z-score methods. Returns flagged values with scores.
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