> ## Documentation Index > Fetch the complete documentation index at: https://docs.neuralverge.ai/llms.txt > Use this file to discover all available pages before exploring further. # Run Walmart Product > Fetches full Walmart product details by item ID or URL: brand, price, rating, specifications, and seller (including `seller.storefront_url`). Flat 5 points per successful lookup. ## OpenAPI ````yaml /openapi.json post /functions/v1/run-walmart-product openapi: 3.0.0 info: title: NeuralVerge API version: 1.0.0 description: >- NeuralVerge API for AI research workflows, search, extraction, and structured data source execution. servers: - url: https://api.neuralverge.ai description: NeuralVerge API security: - BearerAuth: [] tags: - name: AI Research description: Research workflows and session tracking. - name: AI Extract description: Schema-driven extraction workflows. - name: AI Agents description: Reusable saved agents executed through the API. - name: Search description: Fast, synchronous web search with no session or polling. - name: Company intelligence description: Company profile lookups from company databases. - name: E-commerce & Marketplaces description: >- Product, seller, and review lookups on Amazon, eBay, Walmart, AliExpress, and Alibaba. - name: Enrichment description: Email and phone enrichment, validation, and discovery. - name: Product reviews description: >- Software and business reviews from Capterra, Gartner Peer Insights, and Trustpilot. - name: Social media description: LinkedIn profile, company, and people lookups. paths: /functions/v1/run-walmart-product: post: tags: - E-commerce & Marketplaces summary: Run Walmart Product description: >- Fetches full Walmart product details by item ID or URL: brand, price, rating, specifications, and seller (including `seller.storefront_url`). Flat 5 points per successful lookup. requestBody: required: true content: application/json: schema: type: object properties: item: type: string description: Walmart item ID or product URL. required: - item example: item: '15545702811' responses: '200': description: Run completed. content: application/json: schema: type: object properties: session_id: type: string description: Session identifier for this run. kind: type: string description: Data source identifier for this endpoint. item: type: string human: type: string description: Markdown summary of the result, for display. machine: type: object properties: product: type: object properties: id: type: string us_item_id: type: string walmart_internal_id: type: string name: type: string brand: type: string brand_url: type: string model: {} upc: type: string manufacturer_product_id: {} price: type: number price_string: type: string currency: type: string list_price: {} rating: type: number review_count: type: integer image: type: string images: type: array items: type: string availability_status: type: string is_in_stock: type: boolean short_description: type: string seller: type: object properties: id: type: string name: type: string display_name: type: string storefront_url: {} type: type: string breadcrumbs: type: array items: type: string category: type: string return_policy: type: object properties: returnable: type: boolean freeReturns: type: boolean returnWindow: type: object properties: value: type: integer unitType: type: string returnPolicyText: type: string returnPolicyTextCode: type: object properties: code: type: string data: {} returnPolicyCondition: {} holidayReturnEnabled: type: boolean returnPolicyClarityText: type: string returnPolicyClarityTextMore: type: string returnPolicyType: type: string returnableToStore: type: boolean returnLocation: type: string variants: type: array items: {} badges: type: array items: {} condition: type: string is_preowned: type: boolean response_bytes: type: integer description: Structured result payload. total_points: type: integer description: Points charged for this run. example: session_id: 11111111-1111-1111-1111-111111111111 kind: walmart_product item: '10774352381' human: >- # Walmart product - **Item:** 10774352381 - **Response size:** 516.4 KB - **Name:** Logitech Precision Pro Wireless Mouse, Black, Compatible with Laptop, PC, Mac, iPadOS, Walmart Exclusive - **Price:** USD36.82 - **Rating:** 4.5 (247 reviews) - **Availability:** IN_STOCK machine: product: id: '10774352381' us_item_id: '10774352381' walmart_internal_id: 1U71SDX99PGF name: >- Logitech Precision Pro Wireless Mouse, Black, Compatible with Laptop, PC, Mac, iPadOS, Walmart Exclusive brand: Logitech brand_url: /search?q=Logitech&facet=brand:Logitech model: null upc: '097855200174' manufacturer_product_id: null price: 36.82 price_string: $36.82 currency: USD list_price: null rating: 4.5 review_count: 247 image: >- https://i5.walmartimages.com/seo/Logitech-Precision-Pro-Wireless-Mouse_c76cddbf-c8cb-47d0-8e85-4add479ce780.1728b07ccdbdcbcec9c5abf4f7c22987.png images: - >- https://i5.walmartimages.com/seo/Logitech-Precision-Pro-Wireless-Mouse_c76cddbf-c8cb-47d0-8e85-4add479ce780.1728b07ccdbdcbcec9c5abf4f7c22987.png - >- https://i5.walmartimages.com/asr/a2386112-184f-46ef-9033-b2349cddbf3e.9ee7f8279c5fff50acdb9fc985d176b2.jpeg - >- https://i5.walmartimages.com/asr/8c0f99a4-9f54-4a31-86a4-dd9de9aa59f2.5ca7d0d502e77dba943afde6f017511f.jpeg availability_status: IN_STOCK is_in_stock: true short_description: >- Built for endurance, versatility, and comfort, Logitech Precion Pro Wireless Mouse helps you succeed in a multi-device world. You'll be powering through tasks thanks to the Easy-Switch technology that lets you switch seamlessly between 3 computers. You'll fly through documents and web pages using the hyper-fast scroll wheel, and hardly spare a thought to changing batteries thanks to 24 months of p seller: id: F55CDC31AB754BB68FE0B39041159D63 name: Walmart.com display_name: Walmart.com storefront_url: null type: INTERNAL breadcrumbs: - Electronics - Computers, Laptops and Tablets - Computer Accessories category: Wireless Mouse return_policy: returnable: true freeReturns: true returnWindow: value: 30 unitType: Day returnPolicyText: Free 30-day returns returnPolicyTextCode: code: PRODUCT_RETURN_WINDOW data: null returnPolicyCondition: null holidayReturnEnabled: false returnPolicyClarityText: '' returnPolicyClarityTextMore: '' returnPolicyType: seamless returnableToStore: true returnLocation: store variants: [] badges: [] condition: New is_preowned: false response_bytes: 528747 total_points: 5 '400': description: Bad Request '401': description: Unauthorized '402': description: Payment Required '500': description: Internal Error components: securitySchemes: BearerAuth: type: http scheme: bearer bearerFormat: API Key ````