If the pipeline does not produce a consensus for your target, you can download the raw reads from your dashboard and bin them yourself, but please note that raw reads are much more noisy and error-prone (~98.3% accurate) than consensus reads.
Look for binning tools - Example - LRBinner = reference free binning approach for nanopore. Ref : Wickramarachchi, Anuradha, and Yu Lin. "Binning long reads in metagenomics datasets using composition and coverage information." Algorithms for Molecular Biology 17.1 (2022): 1-15. bmc 202