Find parcels (Flurstücke) by their actual cadastral use AND several further criteria AT ONCE — the multi-criteria variant of assetfy_db_find_parcels_by_use, for a site profile across many parcels. Returns only the parcels that pass every criterion: the use, how much of the parcel that use covers, the parcel size, how densely it is already built (Bebauungsgrad), and whether a Bebauungsplan applies. Example: "Lagerflächen, die mindestens 80 % des Flurstücks einnehmen, 10.000 bis 100.000 m², 5 bis 30 % bebaut, mit B-Plan, deutschlandweit". Every criterion is evaluated in one database pass: a nationwide screening takes one call per state, and the hits need no per-parcel follow-up calls to assetfy_db_planning_at_point or assetfy_db_buildings for these criteria. Every hit reports the measured figures it passed on (nutzung_anteil_prozent, bebauungsgrad_prozent, the Bebauungsplan) so the numbers can be checked, plus assetfy_url. The distance to the nearest Autobahn junction is covered by max_autobahn_km and measured in the database. Noise from the strategic noise maps is covered by max_laerm_lden_db / max_laerm_lnight_db, and every hit reports its loudest mapped band as umgebungslaerm. Bebauungspotenzial is covered by grz_min/grz_max, gfz_min/gfz_max and min_bgf_potenzial_m2 ("GFZ unter 0,5, mindestens 1.500 m² zusätzliche BGF"), and every hit reports it as bebauungspotenzial, with keine_bauflaeche: true where the map greys the parcel out as no building land (forest, farmland, roads) — such parcels stay in the result, the user decides; with these filters nutzungsart may be left out, but then the search needs a region (zip, or lat/lon + radius_m). Existing EV fast-charging nearby ("weniger als 5 HPC-Ladepunkte im Umfeld") is covered by max_hpc_ladepunkte with ladesaeulen_radius_km, counted against the Ladesäulenregister of the Bundesnetzagentur. The criteria this tool does NOT cover — distance to a substation, to a railway line — apply to the RESULT, not to the search: screen here first, then check the few survivors, or use near_use in assetfy_db_find_parcels_by_use for a second cadastral use nearby. Coverage: all 16 states, from three kinds of data — every hit says which in nutzung_quelle. States with their own detailed ALKIS land-use dataset carry the detailed designation (e.g. "Lagerfläche"); the others record the use as text at the parcel — always the main category, the detail only in some states — so a main category ("Industrie", "Friedhof", "Bahnverkehr") finds parcels in all of them while a detailed term can miss parcels there. Bayern has no parcels: there the hit is the ALKIS use area itself, with its size, Bebauungsgrad and Bebauungsplan, and no Flurstück number. See the coverage note in the result for the current split.
