The MCP server exposes 13 pricing tools plus aDocumentation Index
Fetch the complete documentation index at: https://crushrewards.dev/docs/llms.txt
Use this file to discover all available pages before exploring further.
wallet_info utility. Below is what each does and what to ask in natural language — Claude (or your MCP client) handles parameter parsing, you don’t have to think in arguments.
Shopper
Per-query price: $0.01best_price
Find the cheapest current price for a product across covered retailers.
“What’s the cheapest place to buy AirPods Pro right now?” “Find me the best price for a Dyson V15 in Canada.”
price_history
Show price trends over time for a specific product.
“How has the Sony WH-1000XM5 changed in price over the last 90 days?” “Has the Dyson V15 ever been cheaper than $549?”
deal_finder
List products currently below their typical price in a category.
“Show me the best deals on espresso machines this week.” “What’s on sale in cordless vacuums under $400?”
price_drop_alert
Surface products whose prices dropped recently.
“Which TVs have dropped in price in the last 7 days?” “Any recent price drops on Bose headphones?”
Marketing
Per-query price: $0.01competitive_landscape
Per-retailer pricing snapshot for a category or competitor set.
“How do AirPods Pro prices compare across Amazon, Walmart, and Best Buy?” “Show me the competitive landscape for robot vacuums under $500.”
brand_tracker
All products from a brand with current price + availability.
“Track all Bose headphone listings in the US.” “What KitchenAid stand mixers are currently in stock and what do they cost?”
promo_intelligence
Promotional activity by retailer or brand — who’s running deals, how deep, how often.
“What promotions has Walmart been running on KitchenAid this quarter?” “How aggressive are Amazon’s promos on Apple accessories vs. Best Buy’s?”
share_of_shelf
Percentage of category listings that each brand occupies — a digital-shelf-share signal.
“What’s Apple’s share of shelf in wireless earbuds?” “Which brand dominates listings in the cordless drill category?”
price_positioning
Premium / mid / value positioning by brand within a category.
“Where does Anker sit in wireless charging — premium or value?” “Show me the price positioning of all major brands in robot vacuums.”
Analyst
Per-query price: $0.02inflation_tracker
Period-over-period price change for a category.
“What’s the inflation rate for grocery essentials in the US over the last 6 months?” “How much have TV prices changed year-over-year?”
price_dispersion
Spread of prices for a single product across retailers.
“How much price variance is there for the iPhone 16 Pro across US retailers?” “Which products in the laptop category have the widest price spread?”
retailer_index
Average pricing posture of a retailer relative to a category baseline.
“Is Costco actually cheaper than Walmart on average for grocery items?” “Where does Target sit on the price index for home goods?”
category_summary
Statistical pricing summary for a category — distribution, median, range.
“Give me a pricing summary for cordless vacuums under $500.” “What’s the price distribution for noise-cancelling headphones?”
Utility
wallet_info
Show the MCP’s wallet addresses, balance per chain, and funding instructions. Free — no payment required.
“What’s my Crush wallet balance and where do I send USDC?”
Filters
Most tools accept these optional filters. You don’t pass them directly — the MCP infers them from your prompt (“in Canada”, “on Amazon”, “last 30 days”):| Filter | Values |
|---|---|
country | us or ca (defaults to us) |
retailer | e.g. amazon, walmart, costco |
days | integer lookback window (where applicable) |
Sample response
Abest_price call for “wireless earbuds” returns something like:
