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Predictability API

High performance scoring engine to quantify data consistency

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About Predictability API

"Average" is a lazy metric. It hides the truth. A sensor reading 50, 50, 50 is stable. A sensor reading 0, 100, 50 is broken. Both average 50. If you only track averages, you miss the volatility that kills AI agents, trading bots, and industrial sensors. Predictability API is a high-performance scoring engine (built with Python & Numba) that quantifies the consistency of any data stream. What it does: Predictability Score (0-100): A normalized index of stability. Drift Detection: Use our Sliding Window endpoint to catch model drift instantly. Target Deviation: Measure exactly how far your performance is from your goal. Who is this for? ML Engineers: Monitor agent confidence scores. Algo Traders: Detect market regime changes. Civil Engineers: Flag noisy sensors before they fail. Try it free: You can test the math on our homepage calculator (no signup required).

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