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Ferox Data vs StoreRouter

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

Ferox Data compared with StoreRouter
DetailFerox Data logo Ferox DataStoreRouter logo StoreRouter
What it doesOne API for product, pricing, offer, and review data across major e-commerce marketplaces One API for all stores. Ecommerce data for AI agents.
StageNot given Not given
FoundedNot given Not given
Based inUS US
Pricing modelFreemium Paid
PricingFree 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 votes00
DR (Domain Rating by Ahrefs)Not checked yet no change since last check4 no change since last check
Trust Flow (Majestic)02
Citation Flow (Majestic)033
Referring domains (Majestic)124

6 details filled in for both companies.

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