Interpolation API
Interpolation maths as an API, computed locally and deterministically. The linear endpoint interpolates between two points, y = y0 + (y1 − y0)·(x − x0)/(x1 − x0), returning the value at a target x (or, given a target y, solving the x that produces it), the parameter t and whether the point lies outside the segment. The table endpoint does piecewise-linear interpolation within a table of (x, y) points supplied as comma-separated lists — it sorts the points, finds the two that bracket your query and interpolates between them, extending the nearest segment and flagging the result when you query outside the data range, ideal for calibration curves and lookup tables. The bilinear endpoint interpolates on a rectangular grid from four corner values, interpolating along x at each y-edge and then along y. Everything is computed locally and deterministically, so it is instant and private, and unlike regression it passes exactly through the supplied points. Ideal for engineering, data-visualisation, gaming, mapping and scientific-computing app developers, lookup-table and calibration tools, and numerical-methods education. Pure local computation — no key, no third-party service, instant. Live, nothing stored. 3 endpoints. This is interpolation; for least-squares regression and correlation use a statistics API.
api.oanor.com/interpolation-api
