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olx_analyze_marketAnalyze OLX market data to determine fair prices, competition level, and seller insights for any product. Get actionable recommendations for pricing, photos, and promotion.
Instructions
Analyze the OLX market for a product/segment. Collects up to sample_size live listings plus site-wide facet counts and returns:
total active listings (competition level)
price statistics per currency (min / 25% / median / 75% / max / mean, outliers removed)
private vs business split, top regions, cities and categories
condition split, share of promoted (paid) listings, delivery share
listing age and refresh activity, typical photo count
most active sellers in the sample
actionable recommendations (competitive price range, photos, promotion)
Use for "how much should I sell X for", "how competitive is this niche", "who dominates this market". No auth needed. Tip: narrow with category_id to exclude accessories (e.g. 'iphone 13' also matches cases).
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| query | No | Qidiruv so'zi, masalan 'iphone 13 128gb' | |
| city_id | No | Shahar ID (olx_find_location orqali toping, masalan 4 = Toshkent) | |
| price_to | No | Maksimal narx (so'mda) | |
| condition | No | Holati: yangi yoki b/u (ko'p kategoriyalarda ishlaydi) | |
| region_id | No | Viloyat ID (olx_find_location orqali toping) | |
| owner_type | No | Faqat xususiy yoki faqat biznes sotuvchilar | |
| price_from | No | Minimal narx (so'mda) | |
| category_id | No | OLX kategoriya ID (masalan 85 = Mobil telefonlar) | |
| district_id | No | Tuman ID | |
| sample_size | No | Tahlil uchun nechta e'lon yig'ilsin (20–500; ko'p = aniqroq, lekin sekinroq) | |
| response_format | No | Javob formati: 'markdown' (o'qish uchun) yoki 'json' (to'liq tuzilgan ma'lumot) | markdown |