io.bildata/bildata

Calculate DANISH vehicle registration tax (registreringsafgift) for a new or used personbil, varebil or motorcykel under registreringsafgiftsloven. Same engine and validation as bildata.io's public calculator. Amounts in DKK; an estimate, not an official Motorstyrelsen valuation. REQUIRED PAIRS: condition="new" needs bruttovaerdi; condition="used" needs handelspris AND nypris (nypris is the used vehicle's own original price when new, not the new-vehicle price field). ALWAYS send co2 for a petrol, diesel or hybrid PERSONBIL or VAREBIL: an omitted co2 counts as 0 g/km, i.e. battery-electric, and makes the tax far too low with no error raised — zero on an ordinary car, and still only a fraction of the real figure on an expensive one. On motorcykel co2 does not select the drivetrain at all - isElectric does. Send every number as a JSON number (300000, not "300000"), use enum values exactly as listed, and OMIT an optional field you do not know rather than sending null.

Project DANISH registration tax for a NEW vehicle across rules-years 2026–2029 (the EV/plug-in phase-in schedule changes the tax each year). Returns per-year results and deltas vs 2026. Amounts in DKK. Estimates, not official valuations. NEW vehicles only, and always the whole 2026-2029 span: for a USED import, or for a single year, use calculate_registreringsafgift instead. Send every number as a JSON number (300000, not "300000").

Machine-readable Danish vehicle registration tax rates 2026–2029: skalaknæk (brackets), CO2 tiers, bundfradrag and EV/plug-in phase-in (indfasning) percentages per year. Identical to GET https://bildata.io/api/afgift-prognose/rates. 2027–2029 rates are provisional.

Danish new-vehicle registration statistics from bildata.io (weekly DMR data). Dimensions: fuel_type, brands (top 20), evs, imports (top imported makes), monthly_totals (last 12 months incl. leasing series), country_of_origin. kind=all covers every vehicle type; kind=Personbil passenger cars only. as_of is the data cutoff of the underlying extract — a month whose as_of is before month-end is PARTIAL. Market-level ONLY: the brands dimension is the top 20 brands and there is no per-model breakdown here — for a named MODEL use get_model_stats. It is NOT a way to get a brand total for a brand outside the top 20: a brand-only query there returns that brand's individual model rows (default 5, max 10, truncation disclosed in `note`) and defaults to kind=Personbil where this tool defaults to kind=all, so summing them does not reproduce a brand total from here.

Look up Danish registration numbers for a SPECIFIC car model by name — e.g. "Tesla Model Y", "VW ID.4", "Skoda Enyaq". Covers every model since 2018. Use this when the question names a model or brand; get_top_models only covers the top sellers of one month, and get_market_stats only the top 20 brands. A model still selling returns period figures (this month, this year, last year, market share) plus all-time totals. A model with no registration in the last ~3 years returns ONLY lifetime totals and its first/last registration date — the period figures do not exist for it and are listed in `unavailableFields`; their absence is missing data, NOT zero sales. Spelling is forgiving (ID.4 = ID 4 = id4, Citroen = Citroën) and the response states which row it matched and how, so verify `name` before quoting the numbers.

Top-selling car models (and variants) in Denmark for a given month, from bildata.io's top-50 statistics (passenger cars, monthly, 12-month rolling window). Default: latest month, top 10. as_of is the data cutoff — if it is before month-end, the month is PARTIAL, not complete. A RANKING, bounded by the 12-month window. A model outside that month's top 50 is absent here — look that one up by name with get_model_stats. A month OLDER than the window cannot be answered by any tool on this server: get_model_stats reports fixed periods relative to today (this month, this year, last year, all-time), never an arbitrary past month.