Product data & catalog API for AI-driven procurement
A normalized, machine-readable wholesale catalog — thousands of verified SKUs from real suppliers, with pricing, media, and demand and cost signals — ready for your AI agents and automated ordering.
# Example response — illustrative, not real catalog data $ curl -H "Authorization: Bearer $KEY" \ .../api/v1/products/DEMO-1042 { "sku": "DEMO-1042", "name": "Wireless Wand Massager", "supplier": "Example Supplier", "price": { "value": 9.90, "ccy": "USD" }, "category": "massagers/wand", "media": ["cdn/.../front.webp"], "availability": "in_stock" }
Live catalog
Numbers update automatically from the live database.
Dual-agent quality gate
Every supplier row is parsed and independently re-checked by a second AI agent. Only matching, verified data — correct name, image, price, currency, category — gets published.
Normalized & multilingual
Prices unified to USD / CNY, stable product identity, consistent categories. Catalog in EN · RU · TR · 中文.
All products in one window
Unified catalog from multiple suppliers. Real-time stock levels. Consistent data structure.
View example product →REST API + live MCP server
RESTful endpoints with AI-optimized responses. Our remote MCP server is live — connect Claude Code or Cursor in one line.
MCP liveMedia & specs unified
Standardized images, videos, and specifications. One format for all suppliers.
Raw content for your listings
Every product carries its original description, tags and attributes — ready raw material for your own storefront texts, SEO pages and filters. One query parameter away.
GET /catalog?include=description,tags,attributes
From supplier price-list to clean API in one pipeline
Ingest
Excel / PDF price-lists from suppliers, pulled straight from email.
Verify
Dual-agent consensus gate checks every row — quality, currency, media.
Normalize
Categories, currencies (USD/CNY), stable product identity.
Publish
Live on the storefront and the API the moment it passes the gate.
More than a catalog
Connect your sales and stock, and the platform does the heavy math for you.
Never run out of stock — we do the math
Send your sales and stock levels through the API — or expose a simple read-only feed and we pull it automatically. Our engine watches demand, real delivery lead times and current stock, then tells you what to reorder, how much, and when. No need to build your own forecasting system.
Know the true cost & time of delivery
Average lead times by sea and air from real deliveries to your country — and what shipping actually adds on top of the invoice.
Work with suppliers and your team — in one place
Message suppliers on-platform
A built-in messenger with every supplier — with one-click message translation, so language is never a barrier.
Your team, one order
Invite teammates into your company workspace. Discuss the order together: comments on the order and on each line item — plus internal notes suppliers never see.
Ask right on the product card
Leave a question or comment on any product — the supplier sees it and replies. Keep team-only discussion in the same thread, invisible to the supplier.
Sell, swap and buy together
Your own storefront — free
Turn surplus stock into cash: publish your own products on a public storefront page and sell or swap with other buyers on the platform. Included in every account.
FreeBuy together
Team up with other buyers to reach better MOQs and prices — start a group purchase straight from your cart and split the batch.
Are you a supplier?
Send your catalog and reach importers worldwide. We parse, verify and publish it — you keep selling.
For suppliers →Market signals & intelligence
We track marketplace ratings, prices and review velocity to surface demand and pricing trends for sourcing. Live now: the Turkish market (Trendyol).
Market intelligenceSee it live
Real products, real suppliers, real prices — browse the public catalog without an account.
Browse catalog →Built for the AI era
Our API isn't just machine-readable — it's AI-native. Structured data that neural networks understand. Semantic markup for LLMs. Vector embeddings for similarity search.