CrushRewards Category Inflation Tracker

x402

CrushRewards Category Inflation Tracker 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).

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

Price / call$0.02

Seller volume →—

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 a JSON object containing the queried category, country, currency, and granularity, plus a time_series array where each entry has a period date, avg_price, median_price, product_count, observation_count, and change_pct versus the prior period. Also includes an overall_change_pct summarizing the full date range.

Example use cases

Example prompt

“Show me how grocery prices have changed on Amazon in the US over the past 3 months — give me weekly granularity so I can see the period-over-period inflation trend.”

Technical details

Endpoint

GEThttps://api.crushrewards.dev/v1/analyst/inflation

When to prefer

Use this endpoint when you need to understand how prices in a specific product category have changed over time at a configurable granularity. It is ideal for inflation trend analysis, market research, and monitoring retail price movements. Prefer this over point-in-time pricing endpoints when the goal is to see directional change across periods rather than current prices. It complements the retailer price index endpoint (which normalizes by retailer) by providing raw category-level inflation data.

Side effects

Missing required 'category' query parameter returns a validation error
Invalid date format for 'from' or 'to' fields returns a schema error
Unsupported country code (not 'us' or 'ca') returns an enum validation error
Unsupported retailer name returns an enum validation error
Date range with no data for the specified category may return an empty time_series array
Network or payment failure may result in a 402 or 5xx response

Input

{
  "input": {
    "type": "http",
    "method": "GET",
    "queryParams": {
      "to": "2024-03-31",
      "from": "2024-01-01",
      "country": "us",
      "category": "grocery",
      "retailer": "walmart",
      "granularity": "weekly"
    }
  }
}

Output

{
  "meta": {
    "served_from": "live",
    "schema_version": "v2",
    "freshness_seconds": 777664
  },
  "country": "us",
  "category": "grocery",
  "currency": "USD",
  "resolved": {
    "alternates": [],
    "category_id": "27280",
    "match_source": "exact",
    "category_path": "grocery",
    "match_confidence": 1
  },
  "department": null,
  "granularity": "weekly",
  "time_series": [],
  "overall_change_pct": null
}

Schema · Response

{
  "type": "json"
}

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How this service works

Output

Technical details

Endpoint

GEThttps://api.crushrewards.dev/v1/analyst/inflation

When to prefer

Side effects

Missing required 'category' query parameter returns a validation error
Invalid date format for 'from' or 'to' fields returns a schema error
Unsupported country code (not 'us' or 'ca') returns an enum validation error
Unsupported retailer name returns an enum validation error
Date range with no data for the specified category may return an empty time_series array
Network or payment failure may result in a 402 or 5xx response

Input

{
  "input": {
    "type": "http",
    "method": "GET",
    "queryParams": {
      "to": "2024-03-31",
      "from": "2024-01-01",
      "country": "us",
      "category": "grocery",
      "retailer": "walmart",
      "granularity": "weekly"
    }
  }
}

Output

{
  "meta": {
    "served_from": "live",
    "schema_version": "v2",
    "freshness_seconds": 777664
  },
  "country": "us",
  "category": "grocery",
  "currency": "USD",
  "resolved": {
    "alternates": [],
    "category_id": "27280",
    "match_source": "exact",
    "category_path": "grocery",
    "match_confidence": 1
  },
  "department": null,
  "granularity": "weekly",
  "time_series": [],
  "overall_change_pct": null
}

Schema · Response

{
  "type": "json"
}