18 Services from api.syntalic.com

Finds the lowest current price for a product across Amazon, Walmart, Costco, Home Depot, Nordstrom, and IKEA in the US or Canada, returning the cheapest option plus comparison prices from other retailers.

Tracks a brand's average, min, and max price, product count, in-stock count, and promo count day-by-day across a specified date range.

Discovers actively-promoted discounted products in a given category above a minimum discount threshold, ranked by discount depth with price, list price, and retailer.

Analyzes price spread within a product category, computing mean, standard deviation, coefficient of variation, and percentiles (p10–p90) with IQR-based outlier exclusion.

Returns historical price observations for a product over a date range, including current price, period low/high/avg, price trend, good-deal flag, and a time-series for charting.

Analyzes promotional activity within a product category — promo frequency, average discount depth, and max discount — aggregated by brand or retailer over a date range.

Computes a normalized price index (retailer average / category average) for a specific retailer day-by-day versus its category baseline over a date range.

Returns high-level statistics for a product category including product/brand/retailer counts, pricing aggregates (avg/min/max/median), average rating, promo rate, in-stock rate, and top brands.

Returns all products and their current prices across retailers within a category, sortable by price, rating, or review count for competitive benchmarking.

Tracks category-level retail price inflation over a configurable date range with daily, weekly, or monthly granularity, returning period-over-period and overall price change.

Compares a brand's average price to its category average/median and classifies the brand as premium, mid-range, or value positioned.

Measures each brand's share of a product category by product count, revealing digital shelf dominance across retailers.

Compares social media attention (TikTok/Instagram signals) against retail shelf presence for brands within a product category, ranked by engagement metrics.

Resolves up to 100 taxonomy IDs into their reference metadata (names, hierarchy, classification details) for retail product categorization.

Looks up taxonomy reference data for GS1 Brick attribute IDs, returning structured metadata for up to 100 IDs per request.

Resolves up to 100 taxonomy IDs to their full reference metadata (names, hierarchy, category paths) in a single batch call.

Returns analyst/market-level price band data for a product category, showing how prices cluster across the market

Check whether a product's current price is below its rolling average, returning current price, rolling average, lowest-seen price, and date within a configurable lookback window.