| What it does | One API for product, pricing, offer, and review data across major e-commerce marketplaces
| One API for all stores. Ecommerce data for AI agents.
|
|---|
| Stage | Not given
| Not given
|
|---|
| Founded | Not given
| Not given
|
|---|
| Based in | US
| US
|
|---|
| Pricing model | Freemium
| Paid
|
|---|
| Pricing | Free trial: 100 credits for 7 days, no card required. Starter: $19/month with 2,500 credits per month. Pro: $89/month with 25,000 credits per month. Custom: Annual contract billed monthly, from 1 million credits per month. All plans include 7 days of price history on Starter, 30 days on Pro, and 12
| Lookup & Parse: $2 per 1,000 requests. Search: $14 per 1,000 requests. Free credit: $5 every month per organization. Only successful 2xx responses are billed. Purchased credit never expires.
|
|---|
| Key features | - Product details and pricing history across Amazon, Walmart, eBay, Target, and Home Depot
- Real-time Buy Box tracking with 90-day history
- Seller offer stack with price, condition, fulfillment, and position
- Review and rating data with seller feedback breakdown
- Search, bestsellers, deals, and category taxonomy
- Webhook notifications for price, Buy Box, and stock changes
- Model Context Protocol (MCP) native integration for AI agents
- Bulk catalog feeds in JSONL format to S3, Snowflake, or BigQuery
- One unified credit pool across all marketplaces and endpoints
- ZIP code targeting for regional pricing and stock data
| - Search across multiple e-commerce stores with catalog coverage of 3,718 stores and over 7 million products
- Parse any product page into structured, normalized schema automatically
- Find similar products across different domains and stores
- Brand search and profile data with coverage and top categories
- Live catalog that auto-updates when stores redesign or change
- Enriched product attributes including fit, fabric, scent notes, and category-specific facets
- Fast response time of approximately 100 milliseconds per request
- Multiple access methods: REST API, MCP, CLI, Python and TypeScript SDKs
- MCP integration with OAuth for use with Claude, Cursor and other MCP clients
- Pay-per-request pricing with no subscriptions or seat fees
|
|---|
| What makes it different | - Native Model Context Protocol support for direct AI agent integration without middleware or scraping layers
- Named customer success manager and dedicated Slack channel as standard for all enterprise accounts
| - Returns structured, enriched product data in one unified schema across all stores without web scraping
- 100× faster and 500× cheaper than headless browser automation with LLM reading
- Live catalog that automatically handles store redesigns and maintains data consistency
- Automatically enriches raw product data with derived attributes like fit, fabric, and scent notes specific to each product category
- Returns identical results on every call with no variance from model-based reading
|
| Community votes | 0 | 0 |
| DR (Domain Rating by Ahrefs) | Not checked yet ● no change since last check | 4 ● no change since last check |
| Trust Flow (Majestic) | 0 | 2 |
| Citation Flow (Majestic) | 0 | 33 |
| Referring domains (Majestic) | 1 | 24 |