Kompare travel search

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• find_trips

  The quickest way to search: describe the trip in plain words and get bookable trips back in one call. travelType, one of: - ski: ski and snowboard holidays - golf: golf holidays - surf: surf camps and holidays - diving: diving holidays - hiking: hiking and walking holidays - charter: package holidays: sun and beach trips with flight and hotel - cycling: cycling holidays - football: football trips: a match ticket with travel and hotel - carrental: car rental - f1: Formula 1 race trips - running: running races abroad, marathons and the like - americanfootball: NFL game trips - yoga: yoga retreats - triathlon: triathlon races and training camps - cruise: cruises - coach: coach (bus) tours - holidayhome: holiday homes and cottages - roundtrip: round trips and guided tours through several places - citybreak: city breaks - dance: dance holidays places: destinations, ski areas, regions or countries in plain words, English or Danish ("Ischgl", "Østrig", "Costa del Sol"). Leave it out for any

• search_init

  Get a comprehensive overview of the available travel data for ONE niche before searching. Call this FIRST. Required parameters (all four): - niche: ONE travel type — "ski", "golf", "surf", "diving", "hiking", "charter", "cycling", "football", "carrental", "f1", "running", "americanfootball", "yoga", "triathlon", "cruise", "coach", "holidayhome", "roundtrip", "citybreak", "dance". Single niche per call; to compare niches, call once per niche. - market: market code (one of "dk") - adults: number of adult travelers (1-20) - children: number of children (0-20) Occupancy is required because counts and prices depend on group size — the overview is scoped to this exact cohort. Returns: - totalCount: total listings for this niche and group size - priceRange: { min, max } total price range - pricePerPersonRange: { min, max } per-person price range - averages: { price, pricePerPerson, stars, durationDays } — useful for setting expectations - dateRange: { earliest, latest } departure date rang

• search_listings

  Search for travel listings with filters, sorting, and pagination. This is the main search tool. Use it after search_init to find specific travel deals. Required parameters: - niche: ONE travel type — "ski", "golf", "surf", "diving", "hiking", "charter", "cycling", "football", "carrental", "f1", "running", "americanfootball", "yoga", "triathlon", "cruise", "coach", "holidayhome", "roundtrip", "citybreak", "dance". Single niche per request. - market: market code (one of "dk") Common filters (valid for every niche): - adults (ALWAYS include — prices depend on group size) - children (ALWAYS include — prices depend on group size) - departureFrom (YYYY-MM-DD) - departureTo (YYYY-MM-DD) - onlyDiscounted (boolean — only trips with a discount) - onlyMultiDestination (boolean — only trips that sleep in more than one place (round trips, stage tours)) - countries (array of country slugs — use EXACT slugs, e.g. ["austria"]) - destinations (array of destination slugs in country_destination format

• get_facets

  Get facet counts for filterable fields, respecting current filters. CRITICAL: You MUST include ALL established filters in every call — especially niche, market, adults, children, and arrivalWeeks/arrivalMonths. The facetFields parameter only controls which breakdowns are returned, NOT which filters are applied. If you omit a filter like arrivalWeeks, the counts will include ALL dates — giving misleading numbers that won't match actual availability for the user's requested dates. Example — WRONG: User wants ski in France next week for 2 people. You call get_facets with niche="ski", market="dk", countries=["france"], facetFields=["destinationSlug"]. This returns counts across ALL dates — showing destinations that may have 0 results for next week. Example — RIGHT: Same scenario. You call get_facets with niche="ski", market="dk", countries=["france"], arrivalWeeks=["2026-W15"], adults=2, children=0, facetFields=["destinationSlug"]. This returns only destinations with actual availability