This　article　investigates　an　adaptive　bipartite　consensus　tracking　control　algorithm　for　a　class　of　heterogeneous　nonaffine　nonlinear　multiagent　systems　(MASs)　with　prescribed　finite-time　tracking　performance　under　an　unbalanced　communication　topology.　In　the　case　of　an　unbalanced　digraph,　a　novel　locally　optimal　bipartition　strategy　is　proposed　to　transform　the　unbalanced　communication　topology　into　a　structurally　balanced　one,　thereby　enabling　the　implementation　of　bipartite　consensus　tracking　control.　To　achieve　the　expected　tracking　performance,　the　design　philosophy　focuses　on　developing　a　prescribed　finite-time　performance　function　(PFTPF),　capable　of　preassigning　the　convergence　time　and　accuracy　precisely　beforehand.　The　explored　adaptive　control　algorithm　can　ensure　that　the　whole　signals　concerning　the　closed-loop　MASs　remain　bounded　while　the　bipartite　consensus　errors　converge　to　a　predetermined　range　around　zero　within　the　prescribed　finite　time.　Ultimately,　the　simulation　results　on　robotic　systems　prove　the　availability　of　the　developed　design　solution.　　©　2025　IEEE.