Crush Rewards Promo Intelligence is a paid API for AI agents from api.crushrewards.dev, paid per call via x402, $0.01/call, status unknown (last checked 2026-09-14).
Analyzes promotional activity for brands within a product category, returning promo frequency, average discount depth, and max discount depth per brand over a date range.
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 an array of brands within the specified category, each with: total product observations, number of promotional observations, promo frequency as a percentage, average promotional discount depth percentage, and maximum promotional discount depth percentage. Also includes the queried category, country, and currency code.
GEThttps://api.crushrewards.dev/v1/marketing/promo-intelligenceUse this endpoint when you need brand-level promotional intelligence within a specific product category — specifically promo frequency and discount depth metrics. Prefer this over generic price history or product-level endpoints when the goal is competitive analysis of how aggressively different brands are discounting. It is best suited for marketing analysts, category managers, or agents comparing brand promotional strategies across retailers like Amazon, Walmart, or Costco.
{
"input": {
"type": "http",
"method": "GET",
"queryParams": {
"to": "2024-03-31",
"from": "2024-01-01",
"country": "us",
"category": "beauty",
"retailer": "amazon"
}
}
}{
"meta": {
"computed_at": "2026-06-13T04:29:02.579Z",
"served_from": "live",
"schema_version": "v3",
"freshness_seconds": 69247
},
"brand": null,
"brands": [],
"window": {
"to": "2024-04-01",
"from": "2024-01-01",
"preset": "custom",
"timezone": "UTC",
"granularity": "daily"
},
"country": "us",
"category": "beauty",
"currency": "USD",
"resolved": {
"alternates": [],
"category_id": null,
"match_source": "slug",
"category_path": "beauty",
"match_confidence": 1
},
"aggregate_by": "brand"
}{
"type": "json"
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