Crush Rewards Retailer Price Index is a paid API for AI agents from api.crushrewards.dev, paid per call via x402, $0.02/call, status unknown (last checked 2026-09-13).
Computes a normalized daily price index (retailer average price / category average price) for a specific retailer over a date range, showing how a retailer prices relative to its category baseline.
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.
Returns a time-series array with one entry per day in the requested range, each containing: the date, the retailer's average price, the category-wide average price, a normalized price_index (retailer_avg / category_avg, where >1 means the retailer prices above category average), and a product count. Also includes top-level fields for retailer name, category, country, and currency code.
GEThttps://api.crushrewards.dev/v1/analyst/retailer-indexUse this endpoint when you need to understand how a specific retailer's pricing positions relative to its category peers on a day-by-day basis — ideal for competitive pricing analysis, retailer benchmarking, or detecting when a retailer shifts pricing strategy. Prefer this over raw price history endpoints when you need a normalized, comparable index rather than absolute prices. Best for analysts monitoring whether a retailer is a price leader or price follower within a category.
{
"input": {
"type": "http",
"method": "GET",
"queryParams": {
"to": "2025-01-31",
"from": "2025-01-01",
"country": "us",
"category": "electronics",
"retailer": "amazon"
}
}
}{
"meta": {
"computed_at": "2026-06-17T04:12:54.103Z",
"served_from": "live",
"schema_version": "v3",
"freshness_seconds": 75665
},
"window": {
"to": "2025-01-31",
"from": "2025-01-01",
"preset": "custom",
"timezone": "UTC",
"granularity": "weekly"
},
"country": "us",
"category": "electronics",
"currency": "USD",
"resolved": {
"alternates": [],
"category_id": null,
"match_source": "slug",
"category_path": "electronics",
"match_confidence": 1
},
"retailer": "amazon",
"department": null,
"time_series": [],
"sample_threshold": 5,
"stable_basket_size": null,
"insufficient_sample": false,
"insufficient_sample_points": 0
}{
"type": "json"
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