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Brand Price Positioning Classifier
x402
Brand Price Positioning Classifier is a paid API for AI agents from api.crushrewards.dev, 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 and median, then classifies the brand as premium, mid-range, or value positioned.
Price / call$0.01
Success—
StatusUnknown
How this service works
Real-time pricing, promotions, and competitive intelligence across US and Canadian retailers — exposed as paid API endpoints and MCP tools that AI agents can call directly, with x402 and MPP micropayments per query.
Output
Returns the brand's positioning classification (premium, mid-range, value, or unknown), a price index (brand avg / category avg), the brand's average price, the category average and median price, product count, currency, and the country and category scope of the analysis.
Example use cases
Compare Nike's sneaker price positioning
“How is Nike priced compared to other sneaker brands on US retailers? I want to know if they're classified as premium, mid-range, or value, and what their price index looks like relative to the category average.”
Check if Dyson is a premium brand
“Is Dyson considered a premium vacuum brand in Canada? Show me their price index, their average price, and how that stacks up against the category average and median.”
Classify Samsung's TV price tier
“Where does Samsung sit in the TV category on US retail sites — are they premium, mid-range, or budget? Give me the price index and the supporting numbers so I can compare them to the category average.”
Technical details
Endpoint
GEThttps://api.crushrewards.dev/v1/marketing/price-positioningWhen to prefer
Use this endpoint when you need a quick, structured classification of a brand's price tier relative to its category — especially for competitive analysis, shopper decision support, or market research. Prefer this over raw price data endpoints when you need the interpreted positioning label (premium/mid-range/value) alongside the supporting price index, without computing it yourself.
Side effects
- Brand not found in dataset — returns positioning as 'unknown' with null price fields
- Invalid or unsupported retailer enum value — validation error
- No products found for the specified brand/category/retailer combination — unknown positioning with zero product count
- Country code not in allowed enum (us, ca) — validation error
- Missing required brand query parameter — 400 error
Input
{
"brand": "Nike",
"country": "us",
"category": "athletic shoes",
"retailer": "amazon"
}Output
{
"meta": {
"computed_at": "2026-06-13T04:30:08.275Z",
"served_from": "live",
"schema_version": "v3",
"freshness_seconds": 69313
},
"brand": "Nike",
"country": "us",
"category": "athletic shoes",
"currency": "USD",
"resolved": {
"alternates": [],
"category_id": null,
"match_source": "slug",
"category_path": "athletic-shoes",
"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": "json"
}Tags
x402
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