Time-Series Seasonality Engine MCP Connector for Claude
A+Compute exact Autocorrelation (ACF) to find seasonality lags in time-series data without hallucination.
When analyzing sales data, website traffic, or temperatures, identifying the exact cyclic pattern (seasonality) is critical. Asking an LLM if data is 'seasonal' yields subjective guesses. This engine computes the Autocorrelation Function (ACF) deterministically local. By returning the exact correlation coefficients at various lags (e.g., lag 7 for weekly, lag 12 for monthly), your agent can mathematically prove the existence of cycles.
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