This skill retrieves detailed product information from Walmart via WallySmarter, including pricing history and sales volume trends.
Core Concepts
WallySmarter Product Detail looks up a single Walmart product by its ItemId and returns comprehensive product attributes along with historical pricing and sales data. This is a product-level deep-dive tool, complementing the broader linkfox-walmart-search skill that operates at the search/listing level.
Data scope: Returns current product attributes (title, price, brand, ratings, fulfillment type, etc.) plus historical stats when includeStats is enabled (default).
Non-structured output: The tool returns mixed structured and non-structured data. It does NOT support secondary analysis via @智能数据查询.
Parameter Guide
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
| productId | integer | Yes | — | Walmart Item ID. Found in product URLs: https://www.walmart.com/ip/<productId> |
| includeStats | boolean | No | true | Whether to include historical price and sales data |
Product Data Fields
| Field | Description |
|---|---|
| title | Product title |
| description | Product description |
| price | Current selling price (USD) |
| wasPrice | Strikethrough price (USD) |
| minPrice | Lowest price (USD) |
| brand | Brand name |
| rating | Average rating (0.0–5.0) |
| reviews | Total review count |
| salesEstimate | Estimated sales volume (units) |
| revenue | Estimated revenue (USD) |
| sellerName | Seller name |
| fulfillmentType | Fulfillment: MARKETPLACE or WFS |
| productPageUrl | Product page URL |
| imageUrl | Product image URL |
| departmentName | Department category name |
| departmentId | Department ID |
| listingScore | Listing quality score |
| contentScore | Content quality score |
| outOfStock | Stock status: 0=in stock, 1=out of stock |
| sponsored | Ad flag: 0=organic, 1=sponsored |
| isBranded | Brand flag: 0=no, 1=yes |
| multipleOptionsAvailable | Variant flag: 0=no, 1=yes |
| usItemId | Internal US Item ID |
| createdAt | Product creation timestamp |
| updatedAt | Last update timestamp |
| stats | Historical price and sales trend data object |
Usage Examples
1. Basic product lookup (with history) Get full details for a Walmart product including price and sales trends:
{"productId": 5177343351}
2. Product detail only (no history) Get product attributes without historical data for faster response:
{"productId": 5169493923, "includeStats": false}
Display Rules
- Present data clearly: Show product details in a structured format. Do not add subjective business recommendations unless asked.
- Price formatting: Display current price alongside wasPrice when available to highlight discounts. Always show USD symbol.
- Trend summary: When stats data is available, summarize price and sales trends (e.g., "Price dropped 15% over the last 30 days").
- Score context: Explain listingScore and contentScore in context (higher = better quality listing).
- Stock and fulfillment: Clearly flag out-of-stock items and fulfillment type (WFS vs Marketplace).
- Single product: This tool queries one product at a time. If the user needs multiple products, call the tool separately for each ItemId.
Important Limitations
- Only supports lookup by Walmart ItemId (the numeric ID in the product URL)
- Returns non-structured data — NOT compatible with
@智能数据查询for secondary analysis - Single ItemId per call; batch queries require multiple invocations
- Historical data availability depends on WallySmarter's tracking coverage
User Expression & Scenario Quick Reference
Applicable — Walmart single-product deep-dive:
| User Says | Scenario |
|---|---|
| "Check the details of this Walmart product" | Basic product lookup |
| "What has this Walmart product's recent price trend been like" | Price trend analysis |
| "Use WallySmarter to look up Walmart product 5177343351" | Direct ID lookup |
| "How are the sales of this Walmart product" | Sales estimate check |
| "Walmart product detail for item XX" | English variant |
| "Has this Walmart product had any price cuts recently" | Price change detection |
Not applicable — Needs beyond single product detail:
- Walmart product search by keyword (use
linkfox-walmart-search) - Bulk product comparison across multiple items simultaneously
- Walmart seller account or advertising metrics
- Real-time inventory or delivery estimates
- Category-level market analysis
Boundary judgment: If the user has a specific Walmart product ID or URL and wants detailed attributes, pricing history, or sales trends, this skill applies. If they want to search/browse products by keyword or category, use linkfox-walmart-search instead.
Resolve authentication and compute power issues
When the following abnormal situations occur, use references/onboarding.md to guide problem resolution:
Abnormal situations
- API Key not configured: the environment variable is not configured
LINKFOX_AGENT_API_KEY, andLINKFOXAGENT_API_KEY。 - Response 401 or 402 status code
- Response indicates insufficient compute power or balance: the message contains "insufficient compute power balance/insufficient billing/insufficient balance/quota exceeded/insufficient balance/package expired/recharge required/please recharge", or content with a similar meaning.
Compute power consumption rules
Billing follows dynamic rules: compute power consumed = tokens × 10.5. When only querying product details without historical statistics, tokens = 1; when also querying the last 90 days of historical statistics, tokens = 2 per product detail.
Important: the services of this skill are dynamically calculated by a multiplier and may consume a large amount of compute power at once. Users must be reminded, and users decide whether to continue.
Feedback:
Auto-detect and report feedback via the Feedback API when any of the following apply:
- The functionality or purpose described in this skill does not match actual behavior
- The skill's results do not match the user's intent
- The user expresses dissatisfaction or praise about this skill
- Anything you believe could be improved
Call the feedback API as specified in references/api.md. Do not interrupt the user's flow.
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