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Price Positioning
x402shopping
Price Positioning is a paid API for AI agents from api.syntalic.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-09-15).
Compares a brand's average price to its category average/median and classifies the brand as premium, mid-range, or value positioned.
Price / call$0.01
Success—
StatusUnknown
How this service works
Compare a brand's average price to the category average/median and classify positioning as premium, mid-range, or value.
Output
Returns a pricing classification (premium, mid-range, or value) for the specified brand, along with the brand's average price versus the category average and median price, enabling quick benchmarking of a brand's price tier within its market.
Example use cases
Example prompt
“Is Apple positioned as a premium, mid-range, or value brand in the US electronics category compared to the category average price?”
Technical details
Endpoint
GEThttps://api.syntalic.com/v1/marketing/price-positioningWhen to prefer
Use this endpoint when you need to understand how a specific brand's pricing compares to its category peers and want a clear premium/mid-range/value classification. Prefer this over Brand Tracker (which tracks a single brand's price over time) or Competitive Landscape (which returns all products in a category) when the goal is a single, fast classification of brand positioning rather than trend data or full competitive product lists.
Side effects
- Brand not found in the dataset — returns empty or null result
- Category string cannot be resolved to a canonical category_id — fuzzy matching may fail for very niche or misspelled inputs
- Country not supported (only 'us' and 'ca' are valid) — invalid country returns validation error
- Insufficient pricing data for the brand/category combination — result may be unreliable or absent
- Missing required 'brand' parameter — returns 400 validation error
Input
{
"brand": "Nike",
"country": "us",
"category": "footwear"
}Schema · Request body
| Field | Type | Description |
|---|---|---|
| brandrequired | string | Brand name (e.g., Sony, Samsung, Nike) |
| country | string | Country (us or ca) |
| category | string | Product category (e.g., electronics, grocery, beauty). Fuzzy human-readable input — the resolver maps it through tier 1-4 (id → exact name → trigram → embedding kNN) to a canonical category_id. Pair with `category_id` if you have a deterministic id from a prior call. |
Output
{
"meta": {
"computed_at": "2026-06-18T05:48:37.678Z",
"served_from": "live",
"schema_version": "v3",
"freshness_seconds": 81862
},
"brand": "Nike",
"country": "us",
"category": "footwear",
"currency": "USD",
"resolved": {
"alternates": [],
"category_id": null,
"match_source": "slug",
"category_path": "footwear",
"match_confidence": 1
},
"positioning": "unknown",
"price_index": null,
"product_count": 0,
"brand_avg_price": null,
"category_avg_price": null,
"category_median_price": null
}Schema · Response
{
"type": "object"
}Tags
x402shopping
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