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We study list update with time windows and delays when every request requires a separate access. Unlike batch-serving models, serving several requests to one element still incurs one access per request, and each access may change the list for subsequent requests. For time windows of overlap at most $k\ge2$, our deterministic First-Element Removal algorithm is $(3-2/k)$-competitive, hence $3$-competitive in general. Against an oblivious adversary, a randomized adaptation of BIT is $7/4$-competitive on arbitrary $2$-overlap inputs. More generally, on inputs without self-overlap, it is $\left(13/4-9/[2(k+1)]\right)$-competitive for every $k\ge2$. For delays, we give a deterministic $5$-competitive algorithm and a lower bound of $2+\sqrt3$ for deterministic delay-unaware algorithms. Our analyses extend inversion potentials with per-request credits that reconcile different service times and orders.