Software that represents or analyses data can give fast, easy output that hides invalid results arising from algorithm inadequacies, design assumptions, data input errors, conversion problems with new software or poor interpretation, and commercial software is often a black box. New software is tested with a simple model having known output before complex use, with test details kept for later versions. Constructed models are checked by varying inputs to see if outputs respond as expected, users need adequate understanding of the mathematics, and evidence is gathered that outputs are reasonable.
The graph holds this control, the 0 it maps to, and the evidence behind each claim, over MCP and REST.